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Elvis-Ozoadibe Christiana
Faculty of Agriculture
DEPARTMENT OF AGRICULTURAL ECONOMICS
FACTORS INFLUENCING FARMERS’ WILLINGNESS TO ENGAGE IN AGROFORESTRY PRACTICE IN EKITI STATE,
NIGERIA
ONI, FELIX OLUMIDE PG/M.Sc/08/49213
PG/MSC/08/48435
TITLE PAGE
FACTORS INFLUENCING FARMERS’ WILLINGNESS TO ENGAGE IN
AGROFORESTRY PRACTICE IN EKITI STATE, NIGERIA
A DISSERTATION SUBMITTED TO THE DEPARTMENT OF AGRICULTURAL
ECONOMICS, UNIVERSITY OF NIGERIA, NSUKKA IN PARTIAL
FULFILMENT OF THE REQUIREMENTS FOR THE AWARD OF MASTERS OF
SCIENCE (M.Sc) DEGREE IN AGRICULTURAL ECONOMICS
BY
ONI, FELIX OLUMIDE
PG/M.Sc/08/49213
JANUARY, 2015.
i
CERTIFICATION
ONI, Felix Olumide, a postgraduate student in the Department of Agricultural Economics, with
registration number PG/M.Sc/08/49213 has satisfactorily completed the requirements for course
and research work for the award of the degree of Masters of Science (M.Sc) in Agricultural
Economics. The work embodied in this dissertation, except where duly acknowledged, is the
product of my original work and has not been previously published in part or full for any other
diploma or degree of this or any other University.
----------------------------- ---------------- ---------------------------------- ---------------
Prof. E.C. Okorji Date Prof. S.A.N.D Chidebelu Date
(Supervisor) (Head of Department)
-------------------------- ------------------
External Examiner Date
ii
DEDICATION
This work is dedicated to Almighty God, the author and finisher of my faith.
iii
ACKNOWLEDGEMENT
I indeed owe a lot of gratitude, thanks and praises to God Almighty who has kept me
from the very beginning to the present moment. May His name be highly praised. My profound
gratitude goes to my supervisor Prof. E.C. Okorji for his patience, encouragement and
constructive criticisms at different stages of the work. I sincerely appreciate you Prof. I jealously
cherish Professors S.A.N.D Chidebelu; A.I Achike; N. J. Nweze; C.J. Arene; C.U Okoye and
Doctors A. A. Enete; F.U. Agbo, N. Chukwuone; Ben Okpupara; Ebele Amaechina and other
academic staff of the Department of Agricultural Economics, UNN who have contributed so
immensely in the course of this research work, I thank you all for your unalloyed cooperation
and support.
I am indeed very appreciative of Doctors Amusa Taofeeq and Otitoju Adebanjo who
have immensely contributed to the successful completion of this work. You are indeed
wonderful people, may the Almighty God bless you all. On a very important note, I wish to
register my genuine appreciation to my parents Chief and Chief Mrs. Oni Adeniyi; and my
lovely wife Mrs. Omowumi Oni (Wumine) for all their encouragement, moral, spiritual and
financial supports during the course of this study. God bless you all.
Oni, F.O.
iv
TABLE OF CONTENTS
Title Page i
Certification ii
Dedication iii
Acknowledgement iv
Table of Contents v
List of Tables vii
Abstract viii
CHAPTER ONE: INTRODUCTION 1
1.1 Background Information 1
1.2 Problem statement 5
1.3 Objectives of the study 7
1.4 Research hypotheses 8
1.5 Justification of the study 8
CHAPTER TWO: LITERATURE REVIEW 11
2.1 Conceptual Framework 11
2.2 Socioeconomic Characteristics of Agroforestry farmers 15
2.3 Land Tenure System and other Agroforestry Practices 18
2.4 Factors Influencing Farmers’ Willingness to Plant Agroforestry Trees 22
2.5 Attitudinal and Behavioral Pattern of Farmers towards Agroforestry Practice 28
2.6 Constraints to wider agroforestry tree planting in Nigeria 29
2.6.1 Lack of widespread understanding of the benefits
of agroforestry 29
2.6.2 Mass agriculture’s focus on using fertilizer and pesticide 30
2.6.3 Lack of Tree seed supply 31
2.6.4 Land tenure insecurity among smallholder farmers 31
2.6.5 Market constraints 32
2.6.6 Lack of sufficient Extension work 33
2.6.7 Policy constraints 33
2.7 Theoretical framework 34
2.8 Analytical framework 35
2.8.1 The Probit model 35
2.8.2 Likert scale rating technique 37
2.8.3 Exploratory Factor Analysis 39
v
CHAPTER THREE: METHODOLOGY 41
3.1 The Study Area 41
3.2 Sampling procedure 42
3.3 Data Collection 42
3.4 Method of Data Analysis 43
3.4.1 Probit Model 43
3.4.2 Likert scale Rating Technique 44
3.4.3 Factor Analysis model 45
3.5 Testing of Hypotheses 46
CHAPTER FOUR: RESULTS AND DISCUSSION 47
4.1 Social-economic characteristics of the respondents 47
4.2 Associated land tenure systems and other agroforestry practices
engaged in by farmers in Ekiti State 53
4.3 Factors influencing farmers’ willingness to plant agroforestry trees
in Ekiti State 57
4.4 Farmers’ attitude towards agroforestry tree planting and other
agroforestry practices in Ekiti State 61
4.5 Constraints to agroforestry tree planting by farmers in Ekiti State 65
CHAPTER FIVE: SUMMARY, CONCLUSION AND RECOMMENDATIONS 69
5.1 Summary 69
5.2 Conclusion 71
5.3 Recommendations 72
REFERENCES 74
APPENDIX A: Questionnaire for Data Collection 85
vi
LIST OF TABLES
Table 4.1: Frequency Distribution of the Respondents according to their
socio-economic characteristics. 52
Table 4.2: Frequency Distribution of respondents by their major land tenurial
systems practiced in Ekiti State. 54
Table 4.3: Frequency Distribution of the Respondents according to
agroforestry practices 57
Table 4.4: Factors Influencing Farmers’ Willingness to Plant Agroforestry
Trees in Ekiti State 60
Table 4.5: Farmers’ attitude towards agroforestry tree planting and engagement
in other agroforestry practices in Ekiti State. 64
Table 4.6: Farmers’ Constraints to Agroforestry tree planting and engagement in
other agroforestry practices in Ekiti State. 68
vii
Abstract
This study examined the factors influencing farmers’ willingness to engage in agroforestry
practice in Ekiti State, Nigeria using cross-section data. Multi-stage and random sampling
techniques were used to select 180 respondents. The analytical techniques involved descriptive
and inferential statistics. It was shown that majority (50.60%) of the respondents were within
26-50 years age bracket while the average age of the farmers was 51 years. Majority of the
sampled farmers (92.20%) were male. The greatest percentage of 83.30% of the farmers were
married while 15%, 1.10% and 0.60% were single, widow and divorced, respectively. Also,
majority (83.30%) of the farmers had formal education, while 16.70% of them never attended
school. Out of those that had formal education, 35.60% of them attended primary school,
26.10% attended secondary school or its equivalent, while 21.70% had one form of higher
education certificate. The average years of schooling of the farmers was 9 years. The study also
shown that majority (66.70%) of the respondents had farming as their primary occupation, while
33.30% had farming as their secondary occupation. Out of 66.70% of them that had farming as
their secondary education, 16.10%, 9.40% and 7.20% were civil servants, traders and artisans,
respectively. The probit model result indicates that education (years of schooling), farm distance
to farmers’ residents, farming status, and land ownership positively influenced farmers’
willingness to plant agroforestry trees in the study area. Information on the agroforestry systems
or practices adopted by the farmers showed that majority (46.10%) of the respondents were
willing to combine agroforest tree species with cocoa and 80% of those willing to plant
agroforestry trees were to practice cocoa agroforest. About 28% of the respondents were willing
to combine agroforestry tree species with arable crops and 53.20% of those that were willing to
plant agroforestry trees were willing to plant it with arable crops. The mean scores and
standard deviations of farmers’ attitude towards agroforestry tree planting and engagement in
other agroforestry practices showed that the farmers expressed positive attitude toward 15
statements out of the 16 statements bordering on agroforestry practices. However, only one
statement “farmers do not loose their benefits of participating in other agricultural programmes
if engaging in agroforestry practice” was perceived by the farmers negatively. In this study,
specific issue which elicited most favourable positive attitude from the farmers is “engaging in
agroforestry practice is necessary to achieve increased agricultural productivity”. However, the
negative statement that farmers disagree with most on their attitude towards engaging in
agroforestry practices is “most farmers are not willing to plant agroforestry trees due to lack of
fund”. The factor analysis revealed that the constraints faced by farmers in planting
agroforestry trees and engaging in other agroforestry practices are techno-information, cost and
public policies constraint, technical/institutional support constraint, land, belief and risk taking
constraint and agricultural extension/planting materials constraint. As verified through this
study, farmers must be properly given needed attention through extension activities on
agroforestry practices that can encourage them to engage in agroforestry practice.
Promulgations on land use should be farmers’ friendly enough in order to encourage them to
plant agroforestry trees and make them have the confidence to reap the benefits of planting trees
that may still come to them several years later. Other technical supports such as credit must be
given by government agencies and non-governmental organizations (NGOs) in other to
encourage farmers to engage in agroforestry practices because of the benefits that can be
derived from this both by the farmers and the society at large.
viii
CHAPTER ONE
INTRODUCTION
1.1 Background Information
Tree planting was conceived as a potential strategy to meet the needs of local people and
protect the environment in the 1970s (Abegunde, 1999). The worldwide interest in tree planting
and management gave birth to several popular terms with “forestry” endings such as social
forestry, community forestry and agroforestry (Tamale, 1995; Nair, 1993; Foley and Barnard,
1984). Although these terms are new names for age-old practices, specialists maintained the
distinctions among them defining a precise technical meaning (Barraclough & Ghimire, 1995).
Social forestry as an umbrella term includes the practice of planting or using trees to pursue
social objectives through delivery of benefit to the local people. Community forestry, farm
forestry and agroforestry are all forms of social forestry (Hobley, 1996; Nair, 1993; Tamale,
1995). Community forestry refers either to portion of national forestland handed over to
communities or to the use of public or communal land for tree growing which is later handed
over to the community for the purpose of management (Hobley, 1996; Nair, 1993; Tamale,
1995)
On the other hand, agroforestry is a collective name for all land-use systems and
practices where woody perennial plants are deliberately grown on the same land management
unit as agricultural crops and/or animals, either in spatial mixture or in temporal sequence
(Lundgren, 1987). There must be both ecological and economic interactions between the woody
and non-woody components to qualify as agroforestry (Rocheleau, 1989).
More simply put, Agroforestry is any land-use involving planting of trees or deliberate
retention of trees by farmers within the farm or homestead for a variety of purposes which
include wood, fodder, fruits, medicine, shade, soil improvement, water conservation etc
(Aturamu, 2005). Agroforestry is more than intercropping trees with food crops; it combines
crop and livestock production with forestry activities to improve or prevent further degradation
of ecosystems. Agroforestry systems normally involve two or more species of plants (or plants
and animals), at least one of which is a woody perennial and hence,two or more outputs.
Growing trees along with crops and livestock enhances crop yields, conserves soil and recycles
nutrients while producing fuelwood, fodder, fruit and timber {International Centre for Research
in Agroforestry (ICRAF), 1993}. Agroforestry can help mitigate deforestation because it
addresses in general, the issues of tree planting; combat land depletion because of its potential
for soil conservation and as a result contribute to the alleviation of rural poverty (ICRAF, 1993).
Agroforestry practices in Ekiti state can be described in two broad categories: farm -
based and forest-based. The farm-based practices deals with tree planting on and around
agricultural fields, tree wood lots and commercial crop under shade trees or food crops inter-
planted with commercial trees (Olajide, 2003). The forest-based practices involve specific
agricultural practices associated with forests where farmers collect food, fruits and gums (Tejani
& Lai, 1992). In this study, agroforestry is referred to as farm-based practices. Agroforestry trees
therefore involve those trees planted in and within home gardens, agricultural fields and
commercial trees interplanted with food crops. This does not exclude 'fruit trees' which are
limited to those that provide fruit for human food such as mangoes, citrus, as well as some nut-
bearing trees, such as walnuts. Agroforestry trees do not only yield useful products but also play
vital role as more permanent elements in the landscape, sustaining the capacity of the land to
feed people. Thus, agroforestry trees in this study also include large perennials such as
banana/plantain.
Several studies have indicated that access to agroforestry fruit trees reduces impact of
food shortage during the hunger periods of the year (Akinnifesi, Leakey, Ajayi, Sileshi,
Tchoundjeu, Matakala & Kwesiga,2008; Jones 2009; Mithofer, 2006; Williams 2009). An ex
ante impact analysis in western Nigeria indicated that agroforestry fruits can reduce vulnerability
of rural households to income poverty by 33% (Mithofer, Waibel & Akinnifesi., 2006).
Therefore, investment in agroforestry tree planting, conservation and commercialization
constitute a safety-net during the periods of famine, and provide income to women and children
(Ramadhani, 2002). White and Robinson (2000) indicated that most female headed households
tend to seek small-scale income generating activities like selling agroforestry fruits for raising
cash. Agroforestry also help to address some of the complex and challenging environmental
problems suchas marginal economics of rural resource management, disruption of the soil and
hydrologic cycles, air quality problems, loss of rare and endangered ecosystems, species and
populations, andhealth issues. As a result, research has been intensified on domestication
strategies: selection of priority species, germplasm collection and tree genetic improvement,
propagation systems and field management, harvesting and post-harvest technology, economic
analysis and market research (Akinnifesi et al., 2006, 2008). Agroforestry tree domestication is
aimed at promoting the cultivation of indigenous trees with economic potential as new cash
crops.
Despite the important role that agroforestry practices play in the food security and
livelihood of households in Nigeria, especially in Ekiti state, investments in the cultivation and
conservation of the trees by farm communities is quite low (Bello, 2003). In the literature, this
has been attributed to several reasons to include socio-economic factors, institutional factors (the
insecure tenure rights on trees and land), changes in demand for tree
products,biophysicalenvironmentalfactors and change of resource endowment. In his own
contribution, Adekanye (2002) hypothesized that land characteristics such as land and tree
tenure, as well as tenure rights; social economic and demographic characteristics; and cultural
norms affect farmers’ willingness to cultivate agroforestry trees. Benneh, (1987); Akinnifesi,
(2005) added that the institutional arrangements under which a person gains access to land
largely determines, among other things, what crops he can grow, how long he can till a particular
piece of land, his rights over the trees and fruits of his labour and his ability to undertake long-
term improvements on the land. Rogers (2003) also noted that family household power structure
(matrilineal and patrilineal system) and other socioeconomic characteristics have some
significant implication for farm enterprise choice. The cultivation and management of forest
trees is an important farm enterprise in the Southern Nigeria and in particular, Ekiti State.
According to Ramadhani (2002), tree tenure is a form of tree ownership belonging to the
state while communal tenure was defined as trees owned by the community as opposed to group
tree tenure defined as trees owned by a group of individuals having common interest, such as
fruit processing groups or tobacco growing farmers. Individual tree tenure was defined as the
sole or exclusive user rights on those trees that an individual household have planted, inherited
or managed. Aturamu (2008) added that under private user rights, farmers are expected to be
more willing to invest in the cultivation of fruit trees because they retain exclusive rights to the
benefits of such investments. They may however be less willing to invest in the development of
common property resources. This study was undertaken to investigate factors affecting farmer’s
willingness to plant and domesticate Agroforestry trees.
1.2 Problem Statement
Concerns over the food security situation in Nigeria are reflected in the Millennium
Development Goals (MDGs) to reduce the number of food insecure by half by 2015 (Aturamu,
2005). Given that land plays an important role in the livelihoods of the majority of Nigerians,
food security and poverty reduction cannot be achieved unless issues of access to land, security
of tenure and the capacity to engage in agroforestry practices in a sustainable manner are
addressed (Olu, 2004). Agroforestry practices can help in sustainability of land, especially tree
planting. Agroforestry is an important tool that can bridge up the gap between demand and
supply of wood and non-wood products (Denning, 2001). The overall agricultural situation has
deteriorated, creating a wide gap between the supply and demand for food locally (Alabi, 2003),
with consequent importation of food items that could as well be produced in Nigeria. Production
of some major crops that used to earn the country considerable foreign exchange has greatly
declined to such a level, causing a lot of embarrassment to the nation (Salako, 2009). For
instance, the production of cocoa as an important agroforestry crop in Nigeria had witnessed a
downward trend, thereby reducing the country’s world market share to about 6% and its rank to
5th world largest cocoa producer till 2005 (Folayan, Daramola & Oguntade, 2006; Kwanashie,
Ajilima & Garba, 1998).
In addition, rural (wood fuel) supplies appear to be steadily collapsing in south west, especially
in Ekiti State. The situation has been worsening such that (wood fuel tonnage) shortfalls were
3.4, 6.8 and 8.0 in 1995, 2000 and 2003 respectively. The report of Ekiti State Ministry of
Environment (2004) projected the shortfalls to be 17.6 by the year 2015. In the quest to provide
food and fibre to an expanding human population, the provision of agriculture-based ecosystem
services that help to moderate climate change is increasingly under threat (FAO, 2007). As high
potential land becomes less available and the rural human population increases, farming is
extending into more fragile lands, undermining the natural resource capital base (Salako, 2009).
The damage to landbased ecosystems is exacerbated as agriculture is expanded to marginal and
environmentally fragile areas.To address this ugly trend, there have been supports by Ekiti state
Government to provide tree seedlings through agroforestry and afforestation programmes. To
buttress this fact, the State government in 2007 distributed about 200, 000 major tree crop
seedlings with other chemicals to farmers at highly subsidized rate (Ekiti State Government,
2007). Despite this effort, not much was achieved by the government in terms of improved
agroforestry farming and production in the State. Oriloye (2005) however confirmed that,
farmers irrespective of the support accorded to them have negatively responded to agroforestry
tree planting.
A lot of factors could be responsible for this. For instance, Adebayo (2006) observed that
access to land for permanent cropping is extremely limited in Ekiti due to land tenure structure
and current population growth rates. Moreover, Dairo (2006) stated that high degrees of
uncertainty over tenure security prevail in Ekiti state, and this according to the author reduces
incentives of farmers to involve in tree conservation and management practices. In addition,
Arnold (1991) observed that there is increasing evidence that property rights regimes play a
central role in the use and management of natural resources.
However, the fact that tenure security and other socio-economic attributes of smallholders
can influence their willingness to involve in soil conservation practice such as agroforestry
farming is often neglected by both researchers and development practitioners (Usman,
2003).Many researchers have devoted considerable time to the issue of tenure and its effects on
agroforestry tree production, for example those by Kohlin & Parks (2001); German (2009), their
studies focused on domestication, conservation and management of community wood lots. It is
imperative to state that none of these studies had attempted to ascertain the factors influencing
farmers’ willingness to engage in agroforestry practice. Therefore, it is of a particular interest to
understand the determinants of farmers’ willingness to plant agroforestry trees in the area, their
attitudes toward agroforestry tree cultivation and engagement in other agroforestry practices and
major constraints to agroforestry tree planting in the area.Therefore, this study aims to fill these
gaps in knowledge.
1.3 Objectives of the Study
The broad objective of this research is to determine the factors that influence farmers’
willingness to engage in agroforestry practices in the study area. Specifically, the study sought
to:
(i) describe the socioeconomic characteristics of farmers in the study area;
(ii) describe the associated land tenure systems and other agroforestry practices used by the
farmers in the study area;
(iii) examine the factors influencing farmers’ willingness to engage inagroforestry practice in
the study area;
(iv) determine farmers’ attitudes toward agroforestry tree planting and engagement in
other agroforestry practices in the study area;
(v) determine farmers’ constraints to agroforestry tree planting and engagement in
other agroforestry practices in the study area; and
(vi) make recommendations based on the findings.
1.4 Research Hypotheses
Based on the stated objectives of the study, the following hypotheses were tested:
(i) socio-economic characteristics of the farmers have no significant influence on
their willingness-to-plant agroforestry trees in the study area.
(ii) farm-specific and institutional factors do not influence the willingness of the
farmers to engage in agroforestry practice in the study area.
1.5 Justification of the Study
Increasing pressure on limited land resources is a problem facing rural communities in
Ekiti State (Adekanye 2002). Subsistence farmers in these areas practice traditional bush fallow,
clearing and burning bush at short intervals to grow annual food crops. The problem of
population growth coupled with economic pressure has resulted in a high rate of deforestation of
the state’s Agroforestry trees (Bello 2006). Deforestation has also been on the increase due to the
increasing demand for fuelwood, tree fodder, timber, poles and agricultural land. Soil erosion,
shortage of fuelwood, land degradation, siltation of water bodies and lowering of agricultural
production usually result from deforestation. Over-cropping by farmers has also resulted in loss
of vegetation, which allows for easy soil erosion with its consequent depletion of soil fertility.
This goes a long way to result in wood and non wood products decline and thus leads to poverty
and / or hunger (Gouyon 1992).
Currently in Ekiti state, the area of closed forest is declining by an estimated 0.4% per
year and the area of savanna woodland is shrinking by 0.5% a year (Adekanye, 2002).
Approximately 4 ha of tree cover are lost yearly through improper farming practices and over
exploitation of wood resources (Adekanye, 2002). Due to the small land area owned by most
farmers in these forest areas, there has been a problem of encroachment on forest reserves by
farmers for agricultural activities which may result in excessive destruction of tree cover or
vegetation. The traditional farming system is shifting cultivation and its productivity depends
largely on the fertility of the soil, which is usually maintained by long fallow periods (Bello,
2003). With the depletion of communal forests and increasing pressures on the forest reserves, a
better management system has to be found to reduce degradation even further, and guarantee the
future of the existing forest reserve and it is for this reason that agroforestry as a better land use
system has been suggested. The result of this study would therefore serve to improve the system
as well as pave way for future research works and serve as a reference point or benchmark for
further studies in agroforestry and the study area in particular.
The result of the study will also be able to shape the context in which farmers make
decisions about where and when to invest time and resources in planting and managing trees.
Finally, the study will come up with suggestions on how farmers will be encouraged to protect
existing vegetation and invest in new agroforestry systems when they have secure rights to the
products generated by the trees.
The rationale behind ‘Willingness-to-engage’ studies is that they indicate the value that
individuals attach to a good or service, which in turn predicts their likely contribution to its
sustenance (Boadu, 1993). By understanding the factors that have direct impact on the farmers’
decision to engage in agroforestry practice, as described by the farmers themselves, this study
will provide information that could be used to help decide the appropriate technology, and more
so provide considerable assurance of its maintenance and sustainability.
CHAPTER TWO
LITERATURE REVIEW
2.1 Conceptual Framework
(i) Agroforestry
The main objectives of agroforestry activities are to plant and protect trees and forests,
and to ensure the continued provision of the services and economic products they provide
(Adekunle, 2002). Although there are numerous definitions of agroforestry, one that reflects the
nature of existing Ekiti state agroforestry system is the one defined by Lundgren, (1982). He
defined Agroforestry as “a collective name for all land-use systems and practices where woody
perennial (trees, shrubs, palms, bamboos etc.) are deliberately grown on the same land
management unit as agricultural crops and/or animals, either in spatial mixture or in temporal
sequence”. Lundgren stated that there must be significant ecological and economic interactions
between the woody and non-woody components.
Leakey (1996) also defined agroforestry as “a dynamic, ecologically based, natural
resource management system that through the integration of trees in farm-and rangeland,
diversifies and sustains small holder production for increased social, economic and
environmental benefits”. Agroforestry is practiced for a variety of objectives and represents an
interface between agriculture and forestry and encompasses mixed land use practices (Nair,
1993). These practices have been developed primarily in response to the special needs and
conditions in Nigeria that have not been satisfactorily addressed by advances in conventional
agriculture or forestry (Nair, 1993). Nair further added that, the term agroforestry is used to
denote practices ranging from simple forms of shifting cultivation to complex hedgerow
intercropping systems; systems including varying densities of tree stands ranging from widely-
scattered trees, to the high-density multistoried home gardens; and systems in which trees play a
predominantly service role (e.g. windbreaks) to those in which they provide the main
commercial product (e.g., intercropping with plantation crops). It needs to be re-emphasized that
one concept is common to all these diverse agroforestry systems: the purposeful growing or
deliberate retention of trees with crops and / or animals in interacting combinations for multiple
products or benefits from the same management unit. This is the essence of agroforestry (Nair.
1993). Examples of these agroforestry trees are Mangifera indica, Anacardium occidentale,
Citrus species, Psidium guajava, Tamarindus indica, and some indigenous species such as
Parkia biglobosa, Vitellaria paradoxa, Adansonia digitata, Elaise guineensis, Azadirachta
indica and irvinga gabonenesis(Atolagbe, 2002).
Importance of Agroforestry
Agroforestry combines production and service roles (Daily, 2007). Agroforestry leads to
the production of some economic products such as food, fodder, fuelwood, medicinal
substances, gums and resins, tannins, essential oils, fibres and waxes (Meinzen-Dick, Knox,
Place & Swallow, 2002). Oram (1993) reported that agroforestry provides a wider range of
products, more secure subsistence or more cash income from wood products to enable the farmer
to buy food. Nair (1993) indicated that the combination of several types of products which are
both subsistence and income generating, helps farmers to meet their basic needs and minimizes
the risk of the production system’s total failure. In Ekiti State, agroforestry home gardens play
an essential role in producing foodstuffs and other subsistence or commercial products and also
meeting most of the requirements for sustainability (Torquebiau, 1992). Nair (1993) found that
in tree home gardens, the production is for home consumption, but any marketable surplus can
provide a safe guard against future crop failures and security for interval between the harvests.
Some important service roles of agroforestry are: soil conservation, either erosion control
(presence of a permanent soil cover, barrier effect against run-off), soil fertility maintenance
(incorporation of organic matter into the soil, nutrient pumping from the deep layers of the soil
through the tree’s roots, these nutrients then improve the crops through litter and mulch, nitrogen
fixation) or soil physical properties maintenance (Young, 2000). He indicated that the creation of
a microclimate, which can be beneficial to certain plants or animals, for example modifications
of light, temperature, humidity or wind, can also help fight weed proliferation.
(ii). Agrisilviculture
Agrisilviculture is the intercropping of timber and fuelwood species and/or fruit and
other useful trees with vegetables and other crops in a common space, at the same time
(Lungren, 1982). In agrisilviculture, some of the components of the field are cultivated through
practices like weeding and thinning.Agrisilviculture is examined as a solution to the increasing
degradation of soils in the humid tropics, which has resulted from increasing pressures from
shifting cultivations. Agrisilviculture is the simultaneous husbandry of forest tree crops and food
crops (Rogers, 2000).
(iii). Taungya System
The Taungya system is a system of agriculture whereby villagers and sometimes forest
plantation workers are given the right to cultivate agricultural crops during the early stages of
forest plantation establishment. Cultivation is often allowed to continue until trees shade crops
due to canopy closure (Caveness and Kurtz, 2006). During the early stage of forest plantation
establishment, intercropping of young trees with food crops is beneficial in terms of tree
survival, food crop production, financial income to the peasant farmers and reduction of forest
plantation establishment costs. The system is therefore suitable and should be sustained (Salako,
1982).
(iv). Community Forestry
Community forestry is an evolving branch of forestry whereby the local community
plays a significant role in forest management and land use decision making by themselves in
the facilitating support of government as well as change agents (Byron, Curtis, and Mackay,
2005). It involves the participation and collaboration of various stakeholders including
Community, Government and Non-government Organisations (NGO’s). The level of
involvement of each of these groups is dependent on the specific community forest project, the
management system in use and the region (Scherr and Frankel 2002).
(v). Farm Forestry
Farm forestry is defined as the combination of forestry activities with cropping and/or
livestock production. The focus of the forestry activity is primarily commercial, although there
may also be other objectives including shade and shelter for stock or crops, natural resources
management including soil and water protection(Benneh, 1987). Ayling (1999) added that a
broad definition of farm forestry includes any tree on farm land which are managed to produce
saleable products such as timber, oil, tannin, charcoal or carbon credits. The main objectives of
farm forestry are to increase the total productivity of the land by producing timber products; help
in controlling soil erosion; reduce salinity and provide shelter for livestock;improved natural
resource management - by controlling rising groundwater, wind- and water induced soil erosion.
(vi). Farmers’ Willingness
‘Willingness’ is defined as the voluntary decision to make full use of an innovation
(engage in agroforestry practice) as the best course of action available (Rogers, 2000). The
reverse ‘Unwillingness’ is the decision not to engage.The decision to adopt or to reject occurs as
a process, the innovation-decision process. This process begins when individuals (or any other
decision-making unit) first learn about the existence of the technology, forming an attitude
towards it, deciding to accept or reject, to implement or use it, and finally to confirm their
decision (Adekunle & Bakare, 2004).
2.2 Socio-economic characteristics of Agroforestry Farmers
Raintree (1991) pointed out that the degree of socio-economic stratification, which exists
within a locality, is important in determining the adoption of a new technology particularly if it
is highly attached to factors, which govern access to resources. The stratification of a community
can be on the basis of wealth, landholding size, gender, age, ethnicity, religion, education etc.
For example, results of studies by Lundgren (1987) and Nweke (1990) as quoted by Njoku
(1991) indicated that the level of tree planting adoption on smallholder farms is influenced by
the farmers’ age, literacy rate, access to material inputs of technology and food security needs.
Eckman (1992) deduced from his studies that individuals within a household may have different
rights depending on gender, birth or intra-family status.
Age
The age of farmers is often considered to be an indicator of willingness to plant
agroforestry trees, with the assumption that younger farmers are more likely to adapt to change.
However, there is conflicting evidence on this relationship, with some researchers finding no
significant relationship between age and tree planting decisions (Guerin, 1994; Curtis et al.,
2000; Cary et al., 2002; Lockie, Lawrence, Dale and Taylor, 2002). To further confound the
matter, Duriappah (1996) found a converse relationship between age and willingness to plant
agroforestry trees, revealing that the age group most likely to identify stage of life as a constraint
was those under 30 due to emerging family commitments, savings and debt.
However, others have found a more direct relationship between agroforestry tree planting
decisions and age. Denning (2001) found that younger farmers were more likely to adopt new
technologies, while a Belgian study (Vanslembrouck, 2002) investigating the willingness of
farmers to participate in agri-environmental measures, found that as the age of farmers
increased, there was a corresponding decrease in their willingness to participate in
environmental schemes. Moreover, while Eckman (1992) found no significant relationship
between farmers’ age and their decision to domesticate fruit trees, he did find significant
relationships between age and the adoption of tree planting and actions to treat erosion. It was
found that adoption rates increased for tree planting to a maximum adoption rate at ages 45-55,
and then decreased for age cohorts beyond this.
A study conducted in the Burdekin Dry Tropics region also found age to be correlated
with land manager’ willingness to adopt innovative practices, with the older the manager, the
less likely is adoption (Greiner, Stoeckl, Stokes, Herr and Bachmaier, 2003). Further,
Chukwuebuka, Rashid & Alfrad (2004) found that people over the age of 65 are significantly
more likely to identify their stage of life as an important factor affecting their decision-making
about changing management practices. It is believed that the long-term commitment necessary to
implement changed practices, combined with short-term economic costs, provides little incentive
for land managers approaching retirement. Under this argument, as changed land management
practices often require a huge knowledge and attitudinal shift, the ‘age barrier’ may become a
significant constraint to encouraging widespread change. So, the relationship is unclear,
however, as Cary et al. (2002) argue whatever relationship does exist is unlikely to be linear, and
will likely be confounded by other factors.
Gender
The relationship between gender and the adoption of change practices is also unclear.
There is certainly evidence that women are a driving force for natural resource management
(Davidson and Stratford, 2000). Additionally, Okyere et al (2000) argued that rural women are
under-represented in formal arenas of power, with the implication that women’s real
contribution to natural resource management is underplayed. Indeed, Vanclay (2004) suggests
that the complexity of modern farm management partnerships, where women play a major role,
is often ignored by extension programs that are targeted predominantly towards male farmers.
Certainly if extension or incentive programs are to be successful their proponents need to be
cognisant of the changing role of women and the emerging issues (Vanclay, 2004).
Education
It has been assumed that formal educational levels are directly correlated with
willingness to plant agroforestry trees. However, some evidence suggests that there is little direct
relationship and that the possession of formal education qualifications does not increase the
likelihood of an individual adopting agroforestry practices (Curtis, MacKay, van Nouhuys,
Lockwood, Byron and Graham, 2000; Cary & Barr., 2002). Alternatively, some studies have
found that willingness to participate in tree planting is influenced by education, with the higher
the education level, the more likelihood of participation in some practices (Vanslembrouck,
2002). Finlay (2004) further found that the likelihood of participating in Land care is associated
with education levels, so where it can be assumed that Land care membership is correlated with
an increased adoption of new practices, then the influence of education is strong. Further,
participation in training courses and field days does appear to increase adoption of natural
resource management practices (Cary et al., 2002). Indirectly, education may be important in
enabling farmers to seek off-farm income, and may therefore increase their financial capacity to
invest in changed practices (Cary et al., 2002).
2.3 land Tenure system and other agroforestry practices
One of the critical factors that have been given consideration in determining the potential
acceptability and viability of agroforestry is land tenure systems and tree ownership. Adekunle
(2002) defined land tenure, or land tenure system as a set of rules defining the customary and
legal rights which govern the social relations between individuals or groups in their access and
use of natural resources. Tenure (Kessler, 2006) encompasses land and all those natural
resources which are directly related to it (water, trees, pastures etc.).
Francis (2009) gave the assertion that patterns of tree planting adoption will be shaped by
the structure of opportunities and constraints presented by the rules of tenure. Caveness and
Kurtz (2006) found out that land ownership was one of the two predominant factors (the other
was labour) affecting the adoption of agroforestry practices. Raintree (1991) has also found that
if a ‘would be user’ does not have security over the intended planting location; adoption of the
tree planting innovation may be quite out of question. Kolade (2007) also noted that in vast
agricultural lands of Tropical Africa, agroforestry has yet to make a break through. The reason is
largely due to the flexible system of land tenure as well as its attendant insecurity.
Land tenure reforms in Nigeria has been advocated by Benneh (1987) on the grounds that
the old system does not provide security of tenure; that it discourages the investment of natural
resources and does not encourage investments which bring about development in the land.
Miniature farm sizes and the manner in which they are fragmented and scattered, he argues,
constitute an obstacle to farm improvement for they do not enable farmers to take advantage of
economies of scale in production. The old system, he claims prevent the use of farmland as
collateral for credit, also it discourages the adoption of innovations and individual initiative in
farming.
Governments in many states in Nigeria are aware of the need for tenure reformation. For
example in Ondo state, the government among others prohibited ejection of tenants without
governmental approval (Arhin, 2008). Okyere, Charter & Blench (2010) pointed out that many
government interventions at tenure reformation have given rise to clashes between landowners
and tenants. They pointed out that despite attempts by government to intervene by legislature;
the bulk of statutory law relating to rural land has remained migratory. Most land matters are
handed by linage elders and local chiefs in accordance with their interpretation of indigenous
land laws.
Leach and Mearns (1988) asserted that tenure issues in agroforestry do not relate to land
tenure only but also to tree tenure. The distinction between land and tree tenure is crucial to the
participation of rural communities in projects involving tree growing. Fortmann (1990) has listed
four major categories of rights that make the bundle, which comprises tree tenure: the right to
plant, the right to use, the right to dispose and the right to own or inherit. Each of these
categories or combinations of any, Fortmann emphasizes, have restrictions on community
participation in agroforestry projects in several African countries. He also points out that tree
tenure issues in the community intended for the project needs careful examination to avoid
problems like the loss of rights, particularly to other uses of land or the trees on it and loss of
gathering rights among others. The complexity of tenure issues is believed to have discouraged
many tenants from growing trees. Francis (2009) said that in areas where land pressure is more
intense and other terms of tenancy are more definite, permanent tenants, many of whom grow
food crops under tenancy leases, may be disallowed from planting tree.
Tenure insecurity and its characteristics
Tenure insecurity is a characteristic of many farmers in many parts of the less developed
countries. It arises from a number of sources, depending on the historical pattern of land
acquisition and settlement (Meinzen-Dick et al., 2002). According to Adams (2000), tenure
insecurity is viewed as the landholders’ perception of the probability of loosing land within some
future time period. More broadly it can be defined as the landholders’ perception of the
likelihood of losing a specific right in land such as the right to cultivate, graze, fallow, transfer or
mortgage. Parallel with that, according to Place & Otsuka (2000), land tenure security exists
when an individual perceives that he or she has rights to a piece of land on a continuous basis,
free from imposition or interference from outside sources, as well as the ability to reap the
benefits of labour and capital investment in the land, either in use or upon transfer to another
holder. The definitions show that duration of tenure is an important and necessary component of
tenure security. Duration of tenure refers to the temporal extent of one’s right. Secure tenure is
created when one holds a sufficient time horizon to collect the benefits of one’s investments
(Meinzen-Dick, 2002).
Trends in land and tree tenures
The land tenure system is one of the most important components of any land use or
farming system. The institutional arrangements under which a person gains access to land
largely determines, among other things, what crops he can grow, how long he can till a particular
piece of land, his rights over the fruits of his labour and his ability to undertake long-term
improvements on the land (Benneh, 1987; Atolagbe, 2002). A land tenure system is the body of
rights and duties which regulates the use and control of land. It is the terms and conditions under
which land is held, used and transacted (Adams, 2000). These customary property systems often
distinguish between tree and the land on which they grow, and may vary between regions and
countries, and areas within the country (Alabi, 2006). Land tenure, which refers to land user
rights and security are among the cited land related factors affecting agroforestry tree
domestication. Tchale and Lunduka (2000) observed that land user rights, which are temporal,
create insecurity and therefore a disincentive to farmers to domesticate or plant fruit trees.
2.4 Factors Influencing Farmers’ Willingness to Plant Agroforestry Trees
Generally, the factors influencing agroforestry tree planting decision may not be much
different from those influencing the adoption of agricultural innovations (Arnold, 1987). There
are several factors that influence the decision to plant, retain or take care of trees planted on
farmlands. Some of them are characteristics of the innovation (agroforestry) itself, while others
accrue from the potential adopters (the agroforestry tree farmers). In their own view, Burley &
Steward (1982) as quoted by FAO (1986) suggested that the major conditions which must be
satisfied before rural people will be willing to plant trees are economic, social/cultural and
environmental.
Economic: - There must be sufficient land, capital and labour resources available to make tree
growing possible and to cover the expenses of planting, cultivating, harvesting and marketing
trees and their products. The benefits of tree cultivation and management, both in economic and
financial terms, must exceed the net benefits from alternative resources and agricultural
management, strategies as well as costs of production.
Social/ Cultural: -Changes in productive relationships and in the pattern of resource ownership
which might be brought about by tree cultivation must fall within culturally accepted strategies
for resource distribution. Further, appropriate and culturally sensitive technical expertise must be
available.
Environmental: - Interventions or adaptive strategies must be responsive to the availability of
water, to temperature regimes, to soil types and to other characteristics of the natural
environment.In contrast to the broad categorization of factors that influence tree growing above,
Agyemang (1991) concluded that the specific factors that should receive prominent attention of
farmer’s willingness to plant agroforestry trees are: land tenure and tree ownership, institutional
support systems, labour requirement, management complexity for traditional farmers, long term
nature of benefits and social security and equity.
Like other innovation adoptions, the incorporation of trees on- farm in the form of
agroforestry is a complicated process that is influenced not only by physical factors but also by a
number of socio-economic factors (Malla, 2000). There had been high socio-economic
inequalities in farming communities in the developing countries and level of participation in any
production activity is influenced by the absence of convergent interests located in the socio-
economic structure of the community (Agarwal, 2002).
Agroforestry as a science is in its infancy and it is argued that agriculture and forestry
have the same clientele, farmers. So forestry has to take lessons from agriculture where study of
social structure has proved helpful in designing socially desirable agricultural technologies and
their implementation (Ayling, 1999). If the goal is to convince people to grow trees, then the
study of socio-economic aspects becomes important to identify the motivation and de-motivation
to grow trees (Daily, 2007; Oke &Odebiyi, 2007). Rocheleau and Raintree, (1986) contributed
that socio-economic considerations are increasingly becoming important in technology diffusion
and adoption processes. This is more so for agricultural, forestry, agroforestry and related
innovations, which are meant for the diverse environments and circumstances of rural people.
The need to examine socio-economic factors influencing the decision to adopt
agroforestry tree planting has also been highlighted by Raintree (1991) in his evaluation of the
storm over Eucalyptus in social forestry programmes in India. Among his findings he stated that:
“On closer examination of the issues, it appears that while most of the debate has been couched
on ecological terms, many of the underlying issues are social and economic in nature. The
debate demonstrated how important the socio-economic context of the intended user can be in
determining whether or not he or she will be able to make effective use of a particular tree
planting practice.
Again, Hoskin (1987) gives a partial list of socio-economic issues that must be taken into
consideration if farm families are to involve in agroforestry tree planting as: local uses and
knowledge of trees, tenure, organization, conservation, landlessness, enterprises and marketing,
labour, nutrition, gender and age. In his analysis on socio-economic context and development
strategy for tree growing, Raintree (1991) pointed out that factors that are relevant to consider
under the broad heading of socio-economic will vary from place to place. Among the most
important are: degree of local socio-economic stratification (by wealth, land holding size,
gender, ethnic group etc.); access to resources (land and tenure); overall economic development
strategy; general approach to tree planting programmes, opportunity for relocation of resources;
access to credit; processing technology and marketing assistance etc. It could be seen from the
above discourse that the socio-economic factors that affect the decision to plant agroforestry
trees are many and differ from place to place and it is time specific. In his own view, Kelechi
(2007) opined that in spite of these variations, the major socio-economic factors that are
necessary in agroforestry tree planting decision by individuals are land tenure and ownership
issues, socio-economic stratification, and labour availability.
Also an analysis on farmer adoption of agroforestry technologies by Adedire (2004)
draws a direct relationship between empirical studies on adoption of green revolution in
developing countries and that of agroforestry and lists the following as the major factors that
influence agroforestry tree planting: Labour requirements, Capital, Market, and Institutions.
(i) Labour Requirements
One of the major factors influencing farmers’ decision to plant agroforestry trees is
labour requirement (Arnold, 1987). He stated that a farmer’s decision to grow trees can be
influenced by two main factors: one is the high cost of labour and capital and the other is the
potential of income to be generated from tree as distinct from food production in farmers’
production objectives. Njoku (1991) in his studies on adoption of improved oil palm production
found that a major constraint was high cost of labour. He concluded that many new technologies
require intense labour use, which contrasts greatly with the limited amount of labour expended
in the traditional wild oil palm groves and that smallholder farmers must hire expensive labour
to implement the improved technologies. The strong competition for household labour with
other activities in the farming system particularly during critical periods in the agricultural
season would obviously influence farmers’ decision about adopting agroforestry. This has been
found for example to be true of alley farming (Kang and Wilson, 2009).
(ii) Capital
One of the captivating arguments about capital requirements and tree growing decision
has been put forward by Arnold (1987) as; “It is widely argued that the lengthy production
period and the incidence of most of the costs at the time of establishment, create financial
problems for farmers in adopting practices involving tree growing”. It is this argument that
underlies the widespread provision of planting stock, either free or at subsidized prices in
programmes to support tree growing. However, the evidence that tree systems are favoured by
farmers when capital is scarce because trees require less investment than alternative crops and/
or provide substitutes for purchased inputs example fertilizer and herbicides suggests that
improved access to capital would not necessarily increase adoption of agroforestry tree planting.
In support of Arnold argument, Hyman (2000) in his investigation on pulpwood production in
the Philippines concluded that capital could be an impediment to investment in larger rotation
timber species grown as cash crops. In this situation however, the constraint seems to be not the
capital cost of establishment but lengthy period that elapses before there is any return. Oke et al
(2007) argued that adoptions of scale-neutral innovations are not necessarily inhibited by credit
constraints. They stated that the profitability of innovations often induces small-scale farmers to
find the cash required for adoption from their relatively meagre resources.
Contrary to the above discourse, capital in the form of savings and credit is required in order to
form many agricultural and agroforestry innovations. Therefore differential access to capital is
frequently cited as a major factor determining adoption rates (Mercer and Hyde, 1992). For
example, Owusu-Sekyere (1991) concluded that participating farmers in an agroforestry project
complained that they needed credit in the form of cash to pay for extra labour required to
maintain their agroforestry plots and that without attending to farmers cash needs project
implementation can be very slow.
(iii) Markets
Marketing of products could serve as a great incentive or disincentive to virtually all
productive ventures. According to Cukwuebuka et al (1990), the important criteria for farmers to
grow any new tree species, depend among others on assured demand for the produce and really
market outlets, minimum support price, at which tree growing is profitable; and generation of
cash surplus as the most powerful incentive for most farmers.
(iv) Institutions
Policy analysis defines institutions as rules, norms and values that shape our behaviour.
Sometimes known as the rules of the game; institutions can be:
• Both formal (example, laws that govern land tenure, market transactions or civil rights)
and informal (example, social customs and conventions);
• Created (example, as a result of deliberate political or policy decisions) or may evolve
overtime;
• Present at local, organizational, national, and international levels.
In many developing countries, policies and institutions discriminate against those with few
assets and disadvantage poor people. Such discriminatory policies and institutions undermine
development efforts to eradicate poverty. It is now generally accepted that significant and
sustainable gains in poverty reduction cannot be achieved unless accompanied by pro-poor
reforms to domestic and international policies and institutions (Ashley and Carney, 1999).
2.5 Attitudinal and behavioural pattern of Farmers toward Agroforestry practice
Many different variables may be responsible for farmers’ attitude or behaviour toward
agroforestry practice (Hoskin, 1987). Age is a variable with mixed results, positive and negative
effects onagroforestry. Education level has also been widely regarded as having a positive
relationshipwith adoption of agroforestry practices (Raintree, 1991). Other factors associated
with a positive relationship includeinvolvement in local organizations, farm size, income, land
ownership or tenure, familysize, and familiarity with conservation practices.Boadu (1993)
pointed out that illiteracy was the mainreason for non-adoption of agroforestry practice by
farmers.The farmers considered this practice harmful for their agricultural crops due to lack of
education andawareness. Nweke (1990) also reported that educationwas the main and vital
weapon for bringing a positivechange in the behavioural pattern of individual farmer,
whichdevelops knowledge and other desirable qualities ofmind and general competence. Hence,
thelevel of illiteracy among the farmers is much influencing theirbehaviour to adopt agroforestry
practices. It is one ofthe main hindrances because it creates ignorance andunawareness among
the individuals.
Attitude like knowledge and skill, determine the decision to practice agroforestry
(Campbell 1992). Farmers’ attitudes aremore likely to correspond with their
behaviours.Therefore, transforming factors such as youth and women participation in
agriculturalproduction, extension contact, training and practical demonstration of technologies,
knowledgeas well as access to micro-credit facilities are required to serve as opportunity to
change farmers’ attitude towards agroforestry practice in the study area.
2.6 Constraints to wider Agroforestry tree planting in Nigeria
Despite the concentration of agroforestry research in Nigeria and the presence of
empirical data confirming its benefits, agroforestry practices among smallholder farmers have
not expanded accordingly (Nweke, 1990). Food insecurity, soil erosion, shortages of fuelwood
and fodder and environmental degradation are still widespread. The following is an attempt to
assess the reasons why agroforestry in Nigeria has been unable to expand to meet its full
potential and to identify mechanisms for its promotion.
2.6.1 Lack of Widespread Understanding of the Benefits of Agroforestry
Agroforestry from the 1970s through the early 1990s was focused primarily on empirical
research (Akinnifesi, 2005). While this empirical work has generated a significant body of
scientific literature on agroforestry in Nigeria, it has been conducted primarily at research
stations or on plots leaving the farmers involved geographically isolated, preventing the
generation of collective initiatives (Adams, 2000).
This empirical focus has also meant that there is a lack of comprehensive, robust, and
widely applicable methodology for realistically assessing the benefits and impacts of
agroforestry practices (Nair, 1993). Although an increased emphasis on working with farmers’
groups has increased farmer-to-famer learning and opportunities to spread agroforestry, as of the
early 1990s only a few extension projects in Nigeria had evaluated the financial impact of
agroforestry or attempted to quantify its contribution to household income, food security and
welfare (Franzel and Scherr, 2002). These few projects, have demonstrated that agroforestry
increases household incomes, generates environmental benefits, and is particularly well suited to
poor and female farmers, but success stories are localized. Because case studies of these
successes have not been written-up or widely published, funders and governments have not been
presented with evidence of the broader applicability of agroforestry (Scherr, 2008).
2.6.2 Mass Agriculture’s Focus on Using Fertilizer and Pesticides
Demonstrating agroforestry’s large scale applicability is particularly important because
since the 1960s the focus of agricultural development has been “mass outreach agriculture.”
Mass agriculture includes methods to increase productivity and yields which can be widely
applied on millions of farms and across diverse regions. As a result, donors and governments
have prioritized agricultural development programs to increase access to fertilizers and
pesticides at the expense of methods like agroforestry and eco-agriculture (Scherr, 2008).
Despite their popularity, mass agriculture programmes face serious limitations. While
chemical fertilizers increase yields, overtime they contribute to soil degradation; in contrast,
agroforestry systems do not only increase yields but also restore soil fertility through the use of
nitrogen fixing species (Oriloye, 2005). In addition, chemical or petroleum based fertilizers are
often too expensive for smallholder farmers to purchase, with the rising price of fuel
exacerbating the problem (Franzel and Scherr, 2002). From a donor perspective, subsidized
fertilizer and programmes to increase yields demand on-going funding and can cost millions of
naira whereas agroforestry has the potential to be a sustainable, self-replicating investment.
World Agroforestry Centre economists have estimated the cost of training and equipping one
farm family to practice agroforestry to be about $2.50 (Akinnifesi, 2005).
2.6.3 Lack of Tree Seed Supply
A lack of tree seed is considered essential to the expansion of agroforestry tree planting
system. Even though there is demand for seeds from farmers, they are often unable to obtain
them because of cost or inadequate supply (Usman, 2003). Olu (2004) added that a reliable seed
supply and distribution system on a much greater scale is required to increase adoption of
agroforestry tree planting. At the moment there are few incentives for private sector investment
in this area. Some tree species require many years before they produce seeds, delaying
investment returns and locking producers into selected products. This time lag is particularly
detrimental when future markets for the variety of trees species are uncertain (Scherr and
Franzel, 2002).
2.6.4 Land Tenure insecurity among Smallholder Farmers
At the farm scale, the most important institutional arrangement affecting agroforestry tree
planting is property rights. Property rights shape farmers’ expectations of whether and how they
will be able to appropriate long-term benefits from investing in tree management and planting
(Meinzen-Dick, 2002). Property rights are particularly significant for smallholder farmers who
tend to be risk averse. Studies in Cameroon, Kenya, Mali, Uganda and Zambia have found that
tenants without long-term land rights are restricted in their ability to plant or harvest from trees
because of insecurity of tenure (Place, 1994a).
The literature also tends to suggest that incomplete property rights reinforce the poverty-
environment vicious circle (Duriappah, 1996; Scherr, 2008). This line of argument proposes that
insecure tenure rights to land and the imperfect functioning of land markets tend to reduce
incentives for smaller rural farmers to invest in long-term conservation measures such as
planting trees, and soil conservation structures.
Surprisingly, despite the well-thought-out theoretical links, the results from studies that link
tenure security and investment in conservation activities are contradictory and inconclusive. For
instance, some studies argued that tenure security is not important for conservation (Migot-
Adholla et al., 1991; Brasselle et al., 2002), while others argued that it is (Shiferaw & Holden,
1999; Place & Otsuka, 2000; Gabremedhin & Swinton, 2003; Kabubo, 2003). These different
findings are the result of differences either in the way tenure security is measured or in the way
the relationship between investments and tenure rights is empirically conceptualized (Kabubo
2003).
2.6.5 Market Constraints
Market constraints also play a significant role in hindering the scaling up of agroforestry.
Agroforestry extension and research has tended to emphasize increasing production levels of
trees and crops but these efforts have been undertaken with little regard for demand or price.
Recent work has shown that market conditions and institutions play a critical role in farmers’
decision to plant agroforestry trees (Place, 1994b).
For example, Scherr (2008) found that when the price of maize in Ondo state decreased,
farmers were more likely to use improved fallows to reduce the area under maize cultivation
allowing them to increase production of higher value cash crops on other fields. Market
instability also affects agroforestry strategies. In addition, Scherr and Frankel (2002) found that,
the price of fuelwood had a strong effect on the popularity of agroforestry in Western Nigeria.
Hence, if agroforestry is to be adopted on a scale that has meaningful economic, social and
environmental impacts, it is crucial that markets for agroforestry tree products are expanded. For
this to occur there must be stronger links between tree domestication and product
commercialization (Leakey 2006).
2.6.6 Lack of Sufficient Extension Work
The issue of appropriate extension work for increasing the scale of agroforestry is of
particular importance because agroforestry is a relatively ‘knowledge intensive’ practice,
reducing the likelihood that knowledge will spread easily on its own. Several researchers have
cited national extension systems in many sub-Saharan African countries as a major barrier to
scaling-up agroforestry (Scherr et al 2002). They note a lack of rigorous, organized and locally
adapted extension messages, the general weakness and limited resources of government
extension systems, lack of agroforestry training for extension workers, and the unclear
assignment of responsibility for agroforestry between agricultural and forestry extension
institutions. Research on agroforestry adoption in Central America indicates that particular
attention must be paid to improving institutional structures that provide information and
extension work (Nair, 1993).
2.6.7 Policy Constraints
There are significant policy based constraints to the expansion of agroforestry tree
planting in Nigeria. Experts in agroforestry are clear that an enabling policy environment that
favours smallholder rural development is an essential condition for the success of agroforestry
(Scherr et al 2002). They are equally clear in their belief that the lack of institutional support for
agroforestry is a major policy related constraint to agroforestry development in Africa and an
issue which has not been adequately addressed in agroforestry research.
2.7 Theoretical Framework
The theory reviewed in this work is utility theory. Utility theory is concerned with
people’s choices and decisions. It is concerned also with preferences and with judgments of
preferability, worth, value, goodness or any of a number of similar concepts (Fishburn, 1968).
This theory provides a methodological framework for the evaluation of alternative choices made
by individuals, firms and organizations. Utility refers to the satisfaction that each choice
provides to the decision maker. Thus, this theory assumes that any decision is made on the basis
of the utility maximization principle according to which the best choice is the one that provides
the highest utility (satisfaction) to the decision maker. This work hinges on this theory. To
measure the willingness of farmers to plant agroforestry trees in Ekiti State, which have the
potentials to meet their needs in terms of food, fibre, financial provision, environmental
protection and soil fertility improvement will be mostly preferred and these are the ones the
farmers will be willing to plant.
Utility theory is often used to explain the behaviour of individual consumers. In this case the
farmer plays the role of the decision maker that must decide whether to engage in agroforestry
practice or not. Farmer’s willingness may be subject to level of total utility subject to his or her
available income, prices, and other factors.
Different models have been suggested to explain the decision and willingness to adopt
new technologies(Tolman, 1967; Rogers, 2000). Akinnifesiet al(2006) have argued that there is
no single theory of causation that can embrace all aspects of adoption and explain the traditional
attitude of small farmers towards technologies in developing countries. According to Tolman
(1967), the adoption behaviour of an individual is a function of socioeconomic and
environmental factors and the adoption is endogenous to the sum of the interacting forces of
his/her situation. Following Tolman (1967), Aturamu (2005) adds that adoption behaviour is a
mental process governed by a set of intervening variables: individual needs, knowledge about
the technology, and individual perceptions about methods used in meeting those needs in a
specific environment. Nonetheless, these intervening variables are shown to depend on a set of
socioeconomic variables. Following Rogers (2000), willingness is defined as a decision to make
full use of an innovation as the best course of action, and rejection or non-adoption as a decision
not to adopt an innovation. In this study, it is therefore assumed that agroforestry tree planting is
ecologically feasible, economically efficient, and socially compatible in the study area. It will be
also assumed that for resource poor farmers, practicing agroforestry tree planting technology is a
better option and expect that farmers who adopt this technology will continue to adopt in the
future.
2.8 Analytical Framework
The framework of analysis of this work is reviewed under the following tools of analysis;
Probit model, Likert scale rating, and exploratory factor analysis.
2.8.1 The Probit Model
The probit model is a statistical probability model with two categories in the dependent
variable (Liao, 1994). Probit analysis is based on the cumulative normal probability distribution.
The binary dependent variable, y, takes on the values of zero and one. The outcomes of y are
mutually exclusive and exhaustive. The dependent variable, y, depends on k observable
variables xk where k=1,…,K (Aldrich & Nelson, 1984). While the values of zero and one were
observed for the dependent variable in the probit model, there was a latent, unobserved
continuous variable, y*.
k
k kk xy1
* ………………………………………..(1)
ε is IN (0, σ2)
The dummy variable, y, was observed and was determined by y* as follows.
y = { 1 if y* > 0, 0 otherwise ………………………………..(2)
The point of interest relates to the probability that y equals one. From the above equations, we
see that:
Prob (y=1) = Prob ( kk
k
k x1 > 0)
= Prob (ε > - kk
k
k x 1
= 1 – Φ (- )1 kk
k
k x …………………………………………(3)
Where Φ was the cumulative distribution function of ε (Liao, 1994). The probit model assumed
that the data will generate from a random sample of size N with a sample observation denoted by
i, i = 1,…,N. Thus the observations of y must be statistically independent of each other to rule
out serial correlation. Additionally, it is assumed that the independent variables (the responses to
the farmers’ willingness-to-plant agroforestry trees survey questions) were random variables.
The Maximum Likelihood Estimation (MLE) technique will be used to estimate probit model
parameters. MLE focused on choosing parameter estimates that give the highest probability or
likelihood of obtaining the observed sample y. The main principle of MLE is to choose as an
estimate of β the set of K numbers that would maximize the likelihood of having observed this
particular y (Aldrich & Nelson, 1984).
Ogar (2008) in his study of determining the factors influencing the perception of local
people as regard the use of forest management committee in management of community forest
used probit model. In the same vein, (Ali Chebil, Hafedh Nasr and Lokman Zaibet, 2009) used
probit regression to ascertain the factors affecting farmers’ willingness to adopt salt-tolerant
forage crops.
In this study, probit model will be used to determine the factors that influence farmers’
willingness to plant agroforestry tree. The explanatory variables to include in the probit model
are: level of education, annual income, gender, farm household head, age, household size,
extension contact, group membership, and marital status etc.
2.8.2 Likert Scale Rating Technique
A 4-point rating scale was employed to determine the attitude of the farmers towards
agroforestry tree planting and engagement in other agroforestry practices in the area. A rating
scale is a psychometric scale and bipolar scaling method (Wuensch, 2005) and a set of
categorized response items used in survey research to elicit information about a quantitative or a
qualitative attribute from respondents. In the social sciences, common examples are the Likert
scale and 1-10 rating scales in which a respondent selects the number which is considered to be a
true reflection of the perceived quality or opinion of the respondent on an item statement
(Andrich, 1978).
All the rating scales can be classified into one of the following four classifications: the
nominal, interval, ordinal and ratio levels (Andrich, 1978). Sometimes a four-point scale is used;
this is a forced choice method (Wuensch, 2005). In the case of this study where some of the
major interests are to determine the effects of land tenure system and property right on
agroforestry tree planting; and the attitude of the farmers towards agroforestry tree planting, an
ordinal level 4-point rating scale will be adopted. At the ordinal level, numbers indicate the
relative position of items rather than the magnitude of difference as in the case of nominal,
interval and ratio levels. The 4-point rating scale indicating attitudes of the farmers in this study
is used and named as follows: Strongly Agree (SA) = 4, Agree (A) = 3, Disagree (D) = 2 and
Strongly Disagree (SD) =1.
A 4-point rating scale was used by Otitoju (2008) to measure the constraints faced by soybeans
farmers in Benue States in Nigeria where the author categorized the constraints as Very Serious
(4), Serious (3), Less Serious (2) and Not Serious (1). Ezeibe (2009) also in the same vein used
likert scale to determine and analyse the constraints facing female farmers in crop production in
Abia state. Similarly, Abah (2011) on a study to determine the constraints facing farmers in the
use of organic solid waste in tomatoes gardening in FCT Abuja used 4-point rating scale. The
rating scale in Aba’s study was categorised into Very Important (4), Important (3), Less
Important (2) and Not Important (1). In this research, 4-point rating scale was framed in the
questionnaire to elicit information for establishing the existing constraints facing farmers in
planting agroforestry tree and engagement in other agroforestry practices using factor analysis.
2.8.3: Exploratory Factor Analysis
The ultimate goal of factor analysis is to explain the covariance relationships among the
variables in terms of some unobservable and non – measurable random factors. A wide range of
dimension or multivariate variables may exist; therefore factor analysis aims at reducing the
dimensionality or multi-variate data set to an orderly structure (Ashley, Amber and Anthony,
2006; Ledyard and Robert, 1997). Factor analysis is a means of describing groups of highly
correlated variables by a single underlying construct or factor that is responsible for the observed
correlations (Ashley et al, 2006), and once the groups of correlated variable are identified, they
are interpreted and labeled.
There are methods of factor analysis which include common and principal component
analysis. As reported by Wilkinson, Blank and Gruber (1996), most data sets under both
methods of analysis lead to similar conclusion. Exploratory factor analysis procedure using the
principal component model with iteration and varimax rotation will be employed in grouping the
constraints to Agroforestry tree planting decision into major components. In this analysis, the
factor loading under each constraint (beta weight) represent a correlation of the variables
(constraint areas) to the identified constraint factor and has the same interpretation as any
correlation coefficient. However, only variables with factor loading of 0.30 and above will be
used in naming the factor (Ashley et.al 2006 and Madukwe , 2004). Also, variable that loaded in
more than one factor will not be used.
High reliability of factor analysis models in social science studies has widely been
explored by several authors. Ashley et al, (2006) employed factors analysis to analyse education
systems of 64 countries around the world; Okorji and Chukwuone (2002) applied factor analysis
to determine constraining factors to community seed project in Enugu State, Nigeria; Agwu
(2000) analysed his data on extracting cowpea technology diffusion in Northeast Savanna Zone
of Nigeria using Factor analysis; Kessler (2006) applied factor analysis in determining the
decisive key factors influencing farm households soil and water conservation investments in
Netherlands. Also Enete and Amusa (2010) employed factor analysis to identify factor
constraints militating against women in making contributions to farming decision among cocoa-
based agroforestry households in Ekiti State, Nigeria.
CHAPTER THREE
METHODOLOGY
3.1 The study Area
The study was carried out in Ekiti State, Nigeria. Ekiti State was created on 1st October
1996. The State which was carved out of the former Ondo state has its headquarters located in
Ado Ekiti and situated entirely within the tropics. It is located between Longitude 40 45’ to 50
45’ East of the Greenwich meridian and Latitudes 70 15’-80 5’ North of the Equator. It lies South
of Kwara and Kogi States as well as bounded in the East and in the South by Ondo State. It is an
agrarian state with sixteen (16) Local Government Areas (Ekiti State Government, 2007).
In the 1991 Census, Ekiti State population was 1,647,822 while the estimated population
on creation of the State on October 1, 1996 was about 1.75 million. The 2006 population Census
by the National Population Commission puts the population of Ekiti State at 2,384,212. The
State enjoys tropical climate with two distinct seasons. These are the rainy season (April-
October) and the dry season (November - March). Temperature ranges between 210C and 280C
with high humidity. The South-West winds and the North-East Trade winds blow in the rainy
and dry seasons respectively. Tropical Forest exists in the South, while Guinea Savanna
occupies the Northern peripheries (Ekiti State Government, 2011).
Agriculture is the main occupation of the people and it is the major source of income for
many in the State. Agriculture provides income and employment for more than 75% of the
population of Ekiti State. The main cash crops are Cocoa, Coffee, Kola nut, Cashew and Oil
palm. Other tree crops include Citrus fruits, Coconut, Mango and Guava. The State can also
boast of various species of timber that provide raw material for wood- based industries. Food
Crops that abound in the State include yam, cocoyam, cassava, maize, plantain/banana, rice,
tomatoes and varieties of vegetables (Olaitan and Austin, 2006).
3.2 Sampling Procedure
Multi-stage and random sampling techniques were used for selecting the respondents for
the study. The two agricultural zones in the study area were involved in the study. Each zone
was made up of 8 Local Government Areas (LGAs). Three (3) local government areas were
randomly selected from each agricultural zone making 6 LGAs and from the selected LGAs;
three communities were randomly selected from each LGA making 18 communities for the
study. Random sampling procedure was also used to select ten (10) respondents from each
sampled farming communities to give a total of 180 respondents. Consequently, the set of
questionnaire was administered to 180 respondents.
3.3 Data Collection
Data for this study were obtained from primary source. The primary data were obtained
through the use of structured questionnaire to gather information on the respondents’ socio-
economic characteristics such as age, sex, level of education, household size etc. Other
information that were gathered from the respondents include the determinants of farmers’
willingness to plant agroforestry trees (availability of planting materials, extension contact, land
ownership, etc.), the attitudes of the farmers towards agroforestry tree planting and engagement
in other agroforestry practices), and possible constraints facing the farmers in planting
agroforestry trees and engagement in other agroforestry practices in the study area. The
questionnaire was validated by three lecturers from the Department of Agricultural Economics,
University of Nigeria, Nsukka. To ascertain the reliability of the questionnaire, 15 copies were
trial tested on farmers from Ondo State and a reliability coefficient of 0.77 was obtained using
Cronbach alpha method. Data generated were analyzed using factor analysis and probit model.
3.4 Method of Data Analysis
In order to realise the specific objectives of the study, relevant analytical tools were
employed. Objectives (i) and (ii) were achieved using frequency distribution, percentages and
mean. Objective (iv) was realised with the use of mean and standard deviation. Objective (iii)
was realised using binary probit model while Objective (v) was achieved using principal
component factor analysis
The models used in realising these specific objectives are stated below:
3.4.1 Probit model
Probit model was employed to analyse the factors influencing the farmers’ willingness to
plant agroforestry trees. The dependent variable here was the farmers’ willingness to plant while
the factors influencing their willingness to plant agroforestry trees were the independent
variables. Here, the dependent variable takes on the value of one 1 if the farmer is willing to
plant agroforestry trees (Y=1), and 0 otherwise i.e. if the farmer was not willing to plant
agroforestry trees (Y=0).
Yi = 1 = Xiʹβi + ei,
The explicit form of the model is
Pr(Y=1) =β0 + β1X1 + β2x2 + β3X3 + β4X4 + β5 X5 + β6X6 + β7X7 + β8X8 + e.
Where;
Y = conditional probability with 1 as farmers willing to engage in agroforestry practice, 0 if
otherwise.
β0 = intercept
β1 – β8 = coefficients of independent variables.
e = stochastic error term.
The hypothesised factors influencing the farmers’ willingness to engage in agroforestry practice
include;
X1 = age of farmer (in years)
X2 = Gender of Household head (1 if male, 0 if otherwise)
X3 = Education level (years in schooling)
X4 = Availability of planting materials (1 if available, 0 otherwise)
X5 = Extension Contact (Number of visit (s) per annum)
X6 = Farm distance to farmer’s residential areas (in kilometre)
X7 = Farming status (1 if farming is primary occupation, 0 otherwise)
X8 = Land ownership (1 if farmer owns land, 0 otherwise)
3.4.2: Likert Scale Rating Technique
A likert scale is a psychometric scale commonly used in questionnaires, and is the most
widely used scale in survey research. When responding to a Likert questionnaire item,
respondents specify their level of agreement or disagreement on a symmetric agree-disagree
scale for a series of item statements. Thus, the scale captures the intensity of their feelings. A 4-
point rating scale was used in this work to describe farmers’ attitudes to agroforestry tree
planting and engage in other agroforestry practices in the area while the scaling was graded as;
Strongly Agree (SA), Agree (A), Disagree (D) and Strongly Disagree (SD) with corresponding
values of 4, 3, 2 and 1 respectively, was used to determine each respondent’s level of agreement
or disagreement with the statements. Rating scales with a pool of positive and negative
statements were framed through review of literature on agroforestry practices.
The mean score of respondents based on the 4-point rating scale was computed as;
4 + 3 + 2 + 1 = 10 = 2.50 cut off point
A cut-off mark of 2.5 was used to select statements which were perceived favourable by
the respondents. For all the positive statements a mean score (MS) of ≥ 2.5 depicts a favourable
statement with regard to attitude of farmers towards agroforestry tree planting and engagement
in other agroforestry practices. Also for all negative statements (scoring of all negative
statements used to ascertain the attitude of farmers towards agroforestry tree planting and
engagement in other agroforestry practices were reversed) a mean score of ≤ 2.5
4 4
showsunfavourable statement with regard to the attitude of the farmers towards agroforestry tree
planting and engagement in other agroforestry practices.
3.4.3: Factor analysis model
Principal component factor analysis model used in achieving objective (v) is given as:
Y1 = a11X1 + a12X2 + * * *+ a1nXn
Y2 = a21X1 + a22X2 + * * * + a2nXn
* = *
* = *
Yn= an1X1 + an2X2 + * * + annXn
Where:
Y1, Y2 …Yn = observed variables/constraints facing farmers in planting agroforestry
trees and engaging in other agroforestry practices in the study area.
a1 – an = factor loadings or correlation coefficients.
X1, X2, … Xn = unobserved underlying factors constraining farmers in planting
agroforestry trees and engaging in other agroforestry practices in the
study area.
3.5. Testing of Hypotheses
Hypotheses (i) and (ii) were tested using z-test statistic as inherent in the probit model.
CHAPTER FOUR
RESULTS AND DISCUSSION
4.1 SOCIO-ECONOMIC CHARACTERISTICS OF THE RESPONDENTS
The socio-economic characteristics of respondents discussed in this section include age,
gender, marital status, level of education, occupation, extension contact/service, household size,
land ownership, access to credit, membership of farm association, and farming experience. The
frequency distribution of respondents according to their socio-economic characteristics is
presented in Table 4.1.
Age of Respondents
From Table 4.1, it is shown that majority (50.60%) of the respondents fell within 26 – 50
years age bracket while 46.10% fell within 51 -75 years of age bracket.2.20% of the respondents
had age of 75 years and above while 1.10% were of 25 years and below. The average age of the
respondents is 51 years. This result suggests that farmers in the area are within economically
active age range. This agrees with the study of Kolade (2007) that found out that Ondo
Statecocoa farmers were of average age of 51 years. This positively influences the decision of
the respondents to practicing agroforestry.
Gender of Respondents
Table 4.1 shows that majority of the respondents (92.20%) were male and 7.80% were
female. This implies that agroforestry practice in the study area is still dominated by men.
Marital Status of Respondents
Table 4.1 shows that majority of the respondents (83.30%) were married while 15%,
1.10% and 0.60% were single, widow and divorced, respectively. This suggests that
agroforestry practice in the study area is still dominated by married men and women.
Level of Education of Respondents
As shown in Table 4.1, majority (83.30%) of the respondents had formal education,
while 16.70% of them never attended school. Out of those that had formal education, 35.60% of
them attended primary school, 26.10% attended secondary school or its equivalent, while
21.70% had acquired a certain form of higher education certificate. The average years of
schooling of the respondents as estimated by this study is about 9 years. This implies that
majority of them only attempted secondary school or its equivalent. This agrees with the finding
of Nwaru and Onuoha (2010) that a greater percentage of smallholder food crop farmers (both
credit using farmers and non-credit farmers) in Imo state, Nigeria, only attempted secondary
school or its equivalent with average years of schooling of about 10 years and also agrees with
the findings of Ogundari (2008) that rainfed rice farmers in Nigeria had the average age of
schooling of 10 years. This suggests that majority of the agroforestry farmers in the study area
were at least lettered (they could read and write).
Primary Occupation of respondents
In Table 4.1, majority (66.70%) of the respondents had farming as their primary
occupation, while 33.30% had farming as their secondary occupation. Out of the 33.30% that
had farming as their secondary occupation, 16.10%, 9.40% and 8.20% were civil servants,
traders and artisans, respectively. This finding suggests that majority of the sampled respondents
practice agroforestry.
Household size of Respondents
As shown in Table 4.1, 48.90% of the respondents had household size of five persons
and below, 40% of them had household size that fell within 6 – 10 persons range, 7.80% of them
had household size that fell within 11- 15 persons and 2.20% of them had household size that
fell between 21 – 25 persons. The average household size as estimated is 6.5 (about 7 persons).
This result agrees with the finding of Otitoju and Arene (2010) that majority of the respondents
(medium-scale soybean farmers in Benue State Nigeria) had the average household size of about
7 people. This implies that more people will be involved in agroforestry.
Other related characteristics of the respondents
Extension Contact/Service
Table 4.1 shows that majority (77.70%) of the respondents did not have any extension
contact during the cropping season, while 22.80% of them had extension contact. Out of those
that had extension contact, 63.40% of them had one or two extension contacts, 9.80% of them
had three or four contacts, 7.30% of them had between seven and ten contacts, 4.90% of them
had five or six contacts. The average extension contact during the tree planting season is 0.64.
This implies that the agricultural extension programmes and services in the study area is not yet
as obtainable in other agroforestry economies of the world especially the emerging ones where
agricultural development has improved greatly. It is established in the literature that the more
number of contactsagroforestry farmers have with extension personnel and services, the better
their engagement in the practice, and the more efficient the farmers in the use of limited
resources, and invariably the more the farm’s income from agroforestry practice.
Land ownership
From Table 4.1, majority (77.20%) of the respondents were land owners, that is they own
the plots of land on which they are carrying out their farming activities, while 22.80% were
tenants. This implies that respondents in the study area are land secured. Tenants can be assumed
less likely than landowners to adopt new technological innovations, as the benefits may not
necessarily flow to them, while land ownership influences the farmers’ decisions. It is assumed
that land security has the tendency of influencing farmers’ willingness to plant agroforestry trees
in the study area.
Access to credit by the Respondents
As shown in table 4.1, majority of the respondents had no access to credit especially
formal credit, while 22.20% of them had access to informal credit. Respondents that have access
to credit can be assumed more likely to adopt new technologies than those without access to
credit. This might serve as a strong impediment to farmers’ willingness to plant agroforestry
trees in Ekiti State.
Membership of farmers’ or cooperative association(s)
It is expected that social participation i.e. membership of farmers’ or cooperative
associations should enhance farmers’ decisions. As seen in Table 4.1, 77.80% of the respondents
did not belong to any agroforestry association and/or cooperative societies, while 22.20% belong
to farmers association (s) or cooperative societies. Of those that belong to farmers’ association,
majority (75%) of them belong to one or two associations, 15% of them belong to 3 or 4
associations, and 10% belong to five associations. This implies that lesser participation in social
or cooperative associations might not enhance the decision of the respondents to engage in
agroforestry practice.
Farming experience of respondents
As shown in Table 4.1, 16.10% of the respondents had between 11 – 15 years of farming
experience, 14.50% of them had within 16 – 20 years, 14.40% of them had farming experience
of 41 years and above, 13.30% of them had farming experience of five years and below. About
12% of them had farming experience that fell between 6 and 10 years, 8.90% of them had
farming experience that fell within 26 – 30 years. The estimated average of farming experience
of the farmers is 23.3 years. This shows that quite a number of the respondents had being in
business of farming for many years. The managerial ability of a farmer reflects on his rate of
success in the farm. This could as well be a function of number of years the farmers had actively
stayed in farming. Farming involves a lot of risks and uncertainties, therefore to be competent
enough to handle all the vagaries of agriculture, farmers must have stayed in the farm for quite
some time (Ogundele and Okoruwa, 2006). The age of a farmer may not necessarily be a strong
factor in his years of farming experience. This is because some farmers who are from farming
households start participating in farming very early in their lives as children while some join
farming business at middle age or even after retirement from public services. Those respondents
with longer farming experience will be more willing to engage in agroforestry practice in the
study area.
Table 4.1: Frequency distribution of the respondents according to their Socio-economic
characteristics Variables Frequency Percentage (%)
Age (Years) Mean = 51 years
≤ 25 2 1.1
26 – 50 91 50.6
51 – 75 83 46.1
˃ 75 4 2.2
Total 180 100.0
Gender
Male 166 92.2
Female 14 7.8
Total 180 100.0
Marital status (Number)
Single 27 15.0
Married 150 83.3
Widow/widowed 2 1.1
Divorced 1 0.6
Total 180 100.0
Level of education Mean = 8.54 years
Never attended school 30 16.7
Attended primary school 64 35.6
Attended secondary school 47 26.1
Attended any higher institution 39 21.7
Total 180 100.0
Farming as occupation
Primary occupation 120 66.7
Secondary occupation 60 33.3
Total 180 100.0
Farming 120 66.7
Artisanship/craftsmanship 13 7.2
Civil service 29 16.1
Trading 17 9.4
Private Sector (Banking) 1 0.6
Total 180 100.0
Average income (N) Mean = N145,400.00
< 10,000.00 1 0.5
10,000.00 – 49,999.00 29 16.1
50,000.00 – 99,999.00 46 25.6
100,00.00 - 149,999.00 29 16.1
150,000.00 – 199,999.00 16 8.9
200,000.00 – 249,999.00 20 11.1
250,000.00 - 299,999.00 10 5.6
≥ 300,000.00 29 16.1
Total 180 100.0
Extension Contact/Services
No Extension visit/contact 139 77.2
Extension visit/contact 41 22.8
Total 180 100.0
No of visit(s)
1-2 (at most 2 visits) 26 63.4
3-4 10 24.4
5- 6 2 4.9
7 – 10 3 7.3
Total 41 100.0
Household size Mean = 6.5
≤ 5 88 48.9
6 – 10 72 40.0
11 – 15 14 7.8
16 – 20 2 1.1
21 – 25 4 2.2
Total 180 100.0
Land Ownership (Number)
Land owners 139 77.2
Land tenants 41 22.8
Total 180 100.0
Access to credit
Access 40 22.2
No access 140 77.8
Total 180 100.0
Membership of farm association(s), farmers’
coop, etc
Yes 40 22.2
No 140 77.8
Total 180 100.0
Number of association(s)
1 – 2 30 75.0
3 – 4 6 15.0
5 4 10.0
Total 40 100.0
Farming experience (Years) Mean = 23.3 years
≤ 5 24 13.3
6 – 10 21 11.7
11 – 15 29 16.1
16 – 20 26 14.5
21 – 25 14 7.8
26 – 30 16 8.9
31 – 35 9 5.0
36 – 40 15 8.3
≥ 41 26 14.4
Total 40 100.0
Source: Computed from field data, 2013
4.2: ASSOCIATED LAND TENURE SYSTEMS AND OTHER AGROFORESTRY
PRACTICES ENGAGED IN BY FARMERS IN EKITI STATE
This section describes the associated land tenure systemsand other agroforestry practices
being practiced by the farmers in the study area.
Land tenure systems
Land tenure is the method by which individuals or groups acquire, hold, transfer or
transmit property rights in land (Ogundari, 2008). Such property rights may include rights to use,
cultivate, transfer, build, alienate and so on. It is the body of rules and practices that regulate
peoples’ rights and obligations in relation to land, including any conditions and time limits to the
use of land resources(Usman, 2003). Hence, land tenure is that bundle of rights which a person
or group of persons holds in land. It determines how land as a resource may be owned and used,
and it involves any socio-cultural regulations which govern the use of such land.
Table 4.2 shown that majority (57.80%) of the respondents inherited the plots of lands
they used in farming. 17.80% of them got their land by leasehold system of land acquisition,
12.20% of them got through gift, 7.20% of them purchased their lands for farming, and 5% of
them were practicing agroforestry on government approved lands. This agrees with the finding
of Manyong and Houndekon (2000) that divided inheritance is the dominant tenurial
arrangement for the access to land (about 52 percent for all the fields in the Savannas of West
Africa).
Table 4.2: Frequency distribution of respondents by their major land tenurial systems
practiced in Ekiti State
Land tenure system Frequency Percentage
Inheritance 104 57.8
Gift 22 12.2
Purchased 13 7.2
Leased 32 17.8
Government land (or
Approved tungya system)
9 5.0
Total 180 100.0
Source: Computed from field data, 2013.
Agroforestry practices or systems engaged in by the respondents
Agroforestry systems or practices adopted by respondents in the study area are presented
in Table 4.3. Cocoa agroforest is the combination of tree species with cocoa. This is the
commonest agroforestry practice in the study area. Majority (46.10%) of the respondents were
willing to combine agroforest tree species with cocoa and 80% of those willing to plant
agroforestry trees were to practice cocoa agroforest. About 28% of the respondents were willing
to combine agroforestry tree species with arable crops and 53.2% of those that were willing to
plant agroforestry trees were willing to plant it with arable crops, this agroforestry system is
done in order for the trees planted to provide shade for the arable crops and also reduce their
expenses on weeding. Deliberately retaining trees on farmland during land preparation was also
practiced by 26.10% of the respondents and 50% of those that were willing to plant agroforestry
trees were willing to retain different agroforestry species in the study area. According to the
farmers, these species are retained to provide shade for crops, control soil erosion, and to supply
edible fruits, timber and herbs. About 18% of the total respondents were willing to combine
planting of agroforestry tree species with rearing of livestock and 35.10% of the farmers that
were willing to plant agroforestry trees adopted this combination. Mulching with agroforestry
species is also a system practiced by those farmers willing to plant agroforestry trees, 15% of the
total respondents were willing to mulch with agroforestry species and 28.70% of those that were
willing to plant agroforestry trees adopted mulching with agroforestry species in the study area.
Approved taungya system was practiced by 8.30% of the respondents and 15.90% of those
willing to plant agroforestry trees in the study area.
Alley farming is an agroforestry system in which food or forage crops are grown in the
“alleys” between hedgerows of trees or shrubs. The trees or shrubs are established in hedgerows
usually 4-meters apart (Whitttome, 1994). The trees are periodically pruned and managed during
the cropping phase to prevent shading of the companion crops. The pruning of foliage and young
stems are incorporated into the soil as green manure or used as mulch. Some portions of the tree
foliage can be harvested and fed to livestock. Alley farming is designed to be a sustainable
alternative to traditional bush fallow systems (shifting cultivation). It is a low input, improved
bush-fallow system that can be sustained even under conditions of land scarcity (Kang, 1993). It
offers opportunity to reduce deforestation and land degradation. The woody hedgerow
component of the alley farming system helps in soil protection, nutrient recycling; weed
suppression and provision of staking materials and fuel wood. Results of on-station and on-farm
trials have shown consistently that alley farming is efficient in reducing soil erosion, improving
soil organic matter and nutrient status, and sustaining crop yield under continuous cropping
(Kang, Osiname and Larbi, 1995). Alley faming was practiced by 6.70% of the respondents and
12.80% of those willing to plant agroforestry trees in the study area.
The scarcity of land prevented the majority of respondents from having woodlots for
timber production. About 6% of the total respondents were willing to adopt woodlot as an
agroforestry system in the area and 15.90% of those willing to plant agroforestry trees were
willing to engage in woodlot.
Table 4.3: Frequency distribution of respondents according to agroforestry practices
Agroforestry
practice
Frequency Percentage based on
total respondents
(N= 180)
Percentage based on
respondents WTP
agroforestry trees (N=94)
Govt approved taungya
system
15 8.3 15.9
Retaining trees on
farmlands
47 26.1 50.0
Cocoa agroforest 83 46.1 88.3
Mulching with
agroforestry species
27 15.0 28.7
Woodlot 10 5.6 10.6
Alley farming 12 6.7 12.8
Planting agroforesry
trees and livestock
rearing
33 18.3 35.1
Planting agroforestry
trees with arable crops
50 27.8 53.2
Source: Computed from field data, 2013.
4.3: FACTORS INFLUENCING FARMERS’ WILLINGNESS TO ENGAGE IN
AGROFORESTRY PRACTICE IN EKITI STATE
The result of the probit model indicates that different factors (education, farm distance to
farmers’ residents, farming status, and land ownership) influence farmers’ willingness to engage
in agroforestry practice in the study area. The likelihood ratio statistics as indicated by χ2
statistics are highly significant (P < 0.05), suggesting the model has a strong explanatory power.
In terms of consistency with a priori expectations on the relationship between the dependent
variable and the explanatory variables, the model seems to have behaved well. Table 4.4
presents the parameter estimates, standard error, and the z-ratios from the probit model.
Education
The human capital of the farmer is also assumed to have a significant bearing on the
decision to adopt new technologies. Most adoption studies have attempted to measure human
capital through education or farming experience. Table 4.4 shows that education of the farmers
has direct and significant (p<0.01) relationship with the probability of farmers’ willingness to
plant agroforestry trees in the study area. This implies that a one-unit increase in education (i.e.
years of schooling) would lead to 0.0569 (5.69%) increase in the probability of being willing to
plant agroforestry trees in Ekiti State (Table 4.4). This agrees with a priori expectation. This
means that educated farmers were more willing to plant agroforestry trees than less educated
farmers and illiterates. This is because they are more aware of the positive benefits associated
with agroforestry tree planting (reduce deforestation and land degradation; soil protection,
nutrient recycling; weed suppression and provision of staking materials and fuel wood; reducing
soil erosion, improving soil organic matter and nutrient status, and sustaining crop yield under
continuous cropping) and also show a positive attitude towards agroforestry practices in Ekiti
State. This finding agrees with the study of Keelan, Thorne, Flanagan, Newman and Mullins
(2009) which confirmed a positive relationship between Irish farmers willingness to adopt
Genetically Modified technology. Education of the farmer has been found to have a positive
effect on adoption of Genetically Modified oilseed rape in Germany (Breustedt, Muller-Scheesel
and Latacz-Lohmann, 2008) and on Bt and HT corn adoption in the United States (Fernandez-
Cornejo and McBride, 2002).
Farm Distance to Respondents’ residence
Table 4.4 shows that farm distance has positive and significant (p<0.1) relationship with
the probability of the respondents being willing to plant agroforestry trees in the study area. This
means that a unit increase in farm distance increases the willingness to engage in agroforestry
practice by 0.0849 (8.49%). This is probably because of the availability of more area of land in
distant farms than in nearby farms. Also, forest is usually located or found far away from
people’s residence.
Farming status (i.e. farming as primary occupation)
Respondents that are primarily into farming may take adoption of new technologies more
serious than others that do it on secondary basis. From Table 4.4, it is shown that farming status
has direct and significant (p< 0.05) relationship with the probability of farmers willingness to
engage in agroforestry practice in Ekiti State. This implies that a unit increase in farming as
primary occupation increases the willingness to engage in agroforestry practice by 0.534
(53.4%).
Land ownership
Land ownership is widely believed to encourage the adoption of new technologies
(Daberkow and McBride, 2003). Tenants can be assumed less likely than landowners to adopt
new technological innovations, as the benefits may not necessarily flow to them, while land
ownership is likely to influence the adoption decision. Table 4.4 shows that land ownership has a
positive and significant (p<0.05) correlation with the probability of farmers’ willingness to plant
agroforestry trees in Ekiti State. This implies that a-unit increase in farm/land ownership
increases the willingness to engage in agroforestry practice by 0.541 (54.1%).
Table 4.4 Factors influencing farmers’ willingness to engage in agroforestry practice in
Ekiti State
Variable Coefficient Standard error z-ratio
Socio-economic variables:
Age of farmer (years) 0.00530
0.00831 0.60
Gender (1 if male, 0
otherwise)
-0.495
0.3797 -1.30
Education (years of
schooling)
0.0569
0.0222 2.55***
Farm-specific and institutional variables:
Availability of planting
materials(1 if available, 0
otherwise)
-0.1602
0.2420 -0.66
Extension contact (Number
of visits)
0.0331
0.0655 0.51
Farm distance to resident
(Kilometre)
0.0849
0.0481 1.76*
Farming Status (1 if farming
is primary occupation, 0
otherwise)
0.534
0.244 2.18**
Land ownership (1 if farmer
owns land, 0 otherwise)
0.541
0.248 2.18**
Constant -1.321
0.6749 -1.96**
Number of observation = 180
Log likelihood ratio chi2 (8) = 15.58**
Prob ˃ chi2 = 0.0048
Pseudo R2 = 0.625
* stands for 10% significance level; ** stands for 5% significance level
*** stands for 1% significance level.
Source: Computed from field data, 2013.
4.4 FARMERS’ ATTITUDE TOWARDS AGROFORESTRY TREE PLANTING AND
OTHER AGROFORESTRY PRACTICES IN EKTIT STATE
Table 4.5 shows the distribution of the mean scores and standard deviations of farmers’
attitude towards agroforestry practices in Ekiti State. The result shows that the farmers expressed
positive attitude towards 15 statements out of the 16 statements bordering on the importance of
agroforestry practices. However, only one statement “farmers do not loose their benefits of
participating in other agricultural programmes if engaging in agroforestry practice (Mean Score=
2.43)” was perceived by the farmers negatively. Specifically, the following positive statements
elicited favourable attitude from the farmers: engaging in agroforestry practice is necessary to
achieve increased agricultural productivity (Mean Score = 3.56); engaging in agroforestry
practice is necessary to enhance farmers income generation (Mean Score = 3.36); planting and
retention of agroforestry trees makes extension workers to provide better services to farmers
(Mean Score = 2.57); engaging in agroforestry practice makes farmers to benefits more from
donor assisted agroforestry programmes (Mean Score = 3.02); engaging in agroforestry practice
enhance the farmers’ access to agroforestry tree products (AFTPs) (Mean Score = 3.18);
engaging in agroforestry practice enhance the nutritional status of the farmers households (Mean
Score = 2.99); farmers engage in agroforestry practices because it helps farmers to benefit from
other donor assisted agricultural and rural development programme in the state (Mean Score =
3.29); engaging in agroforestry practice reduces land degradation due to deforestation (Mean
Score = 3.20); engaging in agroforestry practice helps in the improvement of soil fertility (Mean
Score = 3.48); planting and retention of agroforestry trees to improve environmental
sustainability (Mean Score = 3.41) and engaging in agroforestry tree planting has increased the
farmers’ use of tree products for local medicinal purposes (Mean Score = 3.43). However, the
farmers disagree with the following negative statements on their attitude towards engaging in
agroforestry practices in the study area; most farmers are not willing to plant agroforestry trees
due to lack of fund (Mean Score = 3.38); planting and nurturing of agroforestry trees is not
encouraging because it affects other farm activities negatively (e.g paying little attention to the
other farm activities) (Mean Score = 2.57) and planting and nurturing of agroforestry trees don’t
allow expansion of food crop farm areas (Mean Score =2.52).
These findings show that the majority of the farmers have strong positive attitude
towards agroforestry tree planting and engaging in other agroforestry practices in Ekiti State.
More so, the low standard deviations from the mean for the responses, is an indication that the
farmers’ individual scores as regards their attitude towards the planting of agroforestry trees and
engaging in other agroforestry practices did not differ from their mean score. This finding agrees
with Ozor, Agwu, Chuckwuone, Madukwe and Gartorth (2007) who noted in their study that
farmers shown positive attitude in favour agricultural technology in Nigeria. This also confirms
the work of Agwu and Abah (2009) who noted that farmers showed positive attitude towards
National Fadama Development Project (NFDP- II) in Kogi State. From the foregoing, it is
clearly revealed that farmers always show positive attitude towards programmes, projects,
agricultural practices that hold great benefits for them. The positive attitude of the farmers
towards agroforestry tree planting and engagement in other agroforestry practices is because
they are more aware of the positive benefits associated with agroforestry tree planting e.g.
reduced deforestation and land degradation; soil protection, nutrient recycling; weed suppression
and provision of staking materials and fuel wood; reducing soil erosion, improving soil organic
matter and nutrient status, and sustaining crop yield under continuous cropping. In this study,
specific issues which elicited most favourable attitude from the farmers include engaging in
agroforestry practice is necessary to achieve increased agricultural productivity and engaging in
agroforestry practice helps in the improvement of soil fertility. This implies that the farmers are
aware that agroforestry tree planting and engagement in other agroforestry practices can improve
their socio-economic status and sustain their soil for improved agricultural productivity.
Table 4.5: Farmers’ attitude towards agroforestry tree planting and engagement in other
agroforestry practices in Ekiti State
S/No. Items Mean
Score
Standard
Deviation
Remarks
1. Engaging in agroforestry practice is necessary to
achieve increased agricultural productivity
3.56 0.609 Agree
2. Engaging in agroforestry practice is necessary to
enhance farmers income generation
3.36 0.715 Agree
3.* Most farmers are not willing to plant agroforestry
trees due to lack of fund
3.38 0.734 Agree
4.* Planting and nurturing of agroforestry trees is not
encouraging because it affects other farm activities
negatively (e.g paying little attention to the other
farm activities)
2.57 1.009 Agree
5. Planting and retention of agroforestry trees makes
extension workers to provide better services to
farmers
2.57 1.009 Agree
6. Engaging in agroforestry practice has made
governments to be more responsive to farmers’ needs
2.67 0.818 Agree
7.* Farmers do not loose their benefits of participating in
other agricultural programmes if engaging in
agroforestry practice
2.43 0.963 Disagree
8. Engaging in agroforestry practice makes farmers to
benefits more from donor assisted agroforestry
programmes
3.02 0.776 Agree
9. Engaging in agroforestry practice enhance the
farmers’ access to agroforestry tree products (AFTPs)
3.18 0.627 Agree
10. Engaging in agroforestry practice enhance the
nutritional status of the farmers households
2.99 0.832 Agree
11. Farmers engage in agroforestry practices because it
helps farmers to benefit from other donor assisted
agricultural and rural development programme in the
state
3.29 0.674 Agree
12.* Planting and nurturing of agroforestry trees don’t
allow expansion of food crop farm areas
2.52 1.091 Agree
13. Engaging in agroforestry practice reduces land
degradation due to deforestation
3.20 0.822 Agree
14. Engaging in agroforestry practice helps in the
improvement of soil fertility
3.48 0.705 Agree
15. Planting and retention of agroforestry trees to
improve environmental sustainability
3.41 0.632 Agree
16. Engaging in agroforestry tree planting has increased
the farmers’ use of tree products for local medicinal
purposes
3.43 0.608 Agree
* Negative statements
Source: Computed from field data, 2013.
4.5: CONSTRAINTS TO AGROFORESTRY TREE PLANTING BY FARMERS IN
EKITI STATE
Table 4.6 shows the varimax-rotated principal component factor analysis of major factors
constraining farmers in planting agroforestry trees and engaging in other agroforestry practices
in the study area. From result in the table, four (4) factors were extracted based on the responses
of the respondents (farmers). The Kaiser criterion (1960) was used for selecting the number of
underlying factors or principal components explaining the data. In this study, the number was
decided by leaving out components with corresponding Eigen values (a measure of explained
variance) of less than one. Only variables with factor loadings of /0.40/ and above at 10%
overlapping variance were used in naming the factors. Variables that have factor loading of less
than /0.40/ were not used while variables that loaded in more than one constraints were also
discarded (Madukwe, 2004). The communalities represent the relation between the variable and
all other variables (i.e., the squared multiple correlation between the item and all other items).
These factors are; factor 1(Techno-information and public policies factor), factor 2
(Technical/Institutional support factor), factor 3 (Land, belief and risk taking factor) and factor 4
(Agricultural extension/planting materials factor).
Under factor 1 (Techno-information and public policies factor), the specific constraining
variable against agroforeststry tree planting and engagement in other agroforestry practices
include: high cost of fertilizers and other inputs (0.764); poor access to agroforestry tree planting
information by the farmers (0.691); lack of adequate access to agroforestry practices/
technologies (0.680); lack of adequate extension programmes directed towards agroforestry
practice (0.589); inadequate government policies to encourage farmers in agroforestry practices
(0.540) and high cost of farmland (0.427).
Variables that loaded under factor 2 (Technical/Institutional support factor) include:
Insufficient knowledge of credit source to support farm work (0.790); Lack of adequate access to
supporting institutional facilities e.g, cooperative, tree planting education programme (0.678);
Limited Government responsiveness to agroforestry tree management and programme (0.637);
Lack of access to and awareness about NGOs programme for agroforestry tree planting (0.614);
Illiteracy of the farmers (0.560); Poor technical know-how of the farmers in relation to
agroforestry tree planting technology (0.439).
The constraints as perceived by the respondents (farmers) constraining farmers’
willingness to plant agroforestry trees and engage in other agroforestry practices under factor 3
(Land, belief and risk taking factor) include: involvement of the farmers in some off farm jobs,
e.g. trading, artisans, teaching, etc. (0.749); inherited system of land ownership (0.685); religious
belief of the farmers about tree planting (0.643) and unwillingness of the farmers to take risks
involved in planting, retaining and nurturing agroforestry trees (0.522).
Under factor 4 (Agricultural extension/planting materials factor) the specific constraining
variable against agroforestry tree planting and engagement in other agroforestry practices
include: high cost of improved agroforestry tree planting materials (-0.747) and poor agricultural
extension service delivery (0.439).
Adekunle (2009) reported that on some of the reasons why some respondents are not willing to
plant trees to include non-availability of land as the majority has a small landholding, problems
with land tenure, long gestation period of trees, lack of planting materials (seeds and seedlings),
lack of technical expertise, lack of incentive and poor government policies.
Table 4.6: Farmers’ Constraints to Agroforestry tree planting and engagement in their
agroforestry practices in Ekiti State
Constraints Factor
1
Factor
2
Factor
3
Factor
4
Commonalit
y
High cost of fertilizers and other inputs 0.764 0.615
Poor access to agroforestry tree planting
information by the farmers
0.691 0.584
Lack of adequate access to agroforestry
practices/ technologies
0.680 0.519
Lack of adequate extension programmes
directed towards agroforestry practice
0.589 0.462
Inadequate government policies to
encourage farmers in agroforestry practices
0.540 0.557
High cost of farmland 0.427 0.360
Insufficient knowledge of credit source to
support farm work. 0.790 0.650
Lack of adequate access to supporting
institutional facilities e.g, cooperative, tree
planting education programme.
0.678 0.524
Limited Government responsiveness to
agroforestry tree management and
programme
0.637 0.534
Lack of access to and awareness about
NGOs programme for agroforestry tree
planting
0.614 0.424
Illiteracy of the farmers 0.560 0.442
Poor technical know-how of the farmers in
relation to agroforestry tree planting
technology
0.439
0.401
Involvement of the farmers in some off farm
jobs, e.g. trading, artisans, teaching, etc. 0.749 0.568
Inherited system of land ownership 0.685 0.476
Religious belief of the farmers about tree
planting
0.643
0.512
Unwillingness of the farmers to take risks
involved in planting, retaining and nurturing
agroforestry trees
0.522
0.450
High cost of improved agroforestry tree
planting materials -0.747 0.602
Poor agricultural extension service delivery 0.439 0.407
Percentage (%) of variance 15.397 14.836 11.049 8.136 49.418
Factor 1(Techno-information, cost and public policies factor), factor 2 (Technical/institutional
support factor), factor 3 (Land, belief and risk taking factor) and factor 4 (Agricultural
extension/planting materials factor).
Source: Computed from field data, 2013.
CHAPTER FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
5.1 SUMMARY
This study examined the factors influencing farmers’ willingness to engage in
agroforestry practices in Ekiti State, Nigeria. The study was conducted using survey design.
Multistage random sampling technique was adopted to select the respondents from a population
of 1,215 registered farmers from Ekiti State. The two agricultural zones (Zone I and Zone II) in
the state were used. Each zone was made up of 8 local government areas (LGAs). Three LGAs
were randomly selected from each agricultural zone making 6 LGAs and from each of the
selected LGAs; three communities were randomly selected making 18 communities. Random
sampling procedure was also used to select ten farmers from each sampled farming communities
to give a total of 180 respondents. Primary data were collected using structured questionnaire.
The questionnaire was structured into five sections. Sections A, B and C were used to
obtain data on socio-economic characteristics of the farmers, associated land tenure system and
factors influencing farmers’ willingness to plant agroforestry trees respectively. Sections D and
E were structured into four-point rating scale to obtain data on farmers’ attitudes toward
agroforestry tree planting and constraints facing farmers in planting agroforestry trees
respectively. The questionnaire was validated by three lecturers from the Department of
Agricultural Economics, University of Nigeria, Nsukka. To ascertain the reliability of the
questionnaire, 15 copies were trial tested on farmers from Ondo State and a reliability coefficient
of 0.77 was obtained using Cronbach alpha method. Data generated were analyzed using factor
analysis and probit model.
Based on the data analyzed, the study found that majority (50.60%) of the respondents
were within 26 – 50 years age bracket while the average age of the farmers was 51 years.
Majority of the farmers (92.20%) were male. The greatest percentage (83.30%) were married
while 15%, 1.10% and 0.60% were single, widow and divorced, respectively. Majority (83.30%)
had formal education, while 16.70% never attended school. Out of those that had formal
education, 35.60% had primary education, 26.10% had secondary school education, while
21.70% had one form of higher education or the other. The average years of schooling of the
farmers was nine years. Majority (66.70%) of the respondents had farming as their primary
occupation while the remaining 33.30% had farming as their secondary occupation. Education
(years of schooling), farm distance to farmers’ residents, farming status and land ownership were
positive and significantly (p<0.05) influenced farmers’ willingness to plant agroforestry trees.
About 80% of the respondents were willing to intercrop agroforestry tree species with
cocoa while about 53.20% were willing to intercrop agroforestry tree species with arable crops.
Farmers expressed positive attitude towards 15 out of the 16 items bordering on planting of
agroforestry trees with mean values ranging between 2.68 and 3.73 on a four-point rating scale.
The constraints the farmers faced in planting agroforestry trees were lack of appropriate
technology, inadequate information, high cost of inputs, institutional neglect, land tenure system,
cultural barriers, inadequate agricultural extension visits and lack of improved planting materials
with mean values ranging between 2.75 and 3.58 on a 4-point rating scale.
5.2 CONCLUSION
This study examined the factors influencing farmers’ willingness to engage in
agroforestry practices in Ekiti State, Nigeria. The probit model result indicates that education
(years of schooling), farm distance to farmers’ residents, farming status, and land ownership
positively influenced farmers’ willingness to plant agroforestry trees in the study area. In this
study, specific issue which elicited most favourable positive attitude from the farmers is
“engaging in agroforestry practice is necessary to achieve increased agricultural productivity”
while the negative statement that farmers disagree with most on their attitude towards planting
agroforestry trees and engaging in other agroforestry practices is“most farmers are not willing to
plant agroforestry trees due to lack of fund”. The study also revealed that the constraints faced
by farmers in planting agroforestry trees and engaging in other agroforestry practices are techno-
information, cost and public policies constraint, technical/institutional support constraints, land,
belief and risk taking constraint and agricultural extension/planting materials constraint. As
verified through this study, farmers must be properly given needed attention through extension
activities on agroforestry practices that can encourage them to plant agroforestry trees.
Promulgations on land use should be farmers’ friendly enough in order to encourage them to
plant agroforestry trees and make them have the confidence to reap the benefits of planting trees
that may still come to them several years later. Other technical supports such as credit must be
given by government agencies and non-governmental organizations (NGOs) in other to
encourage farmers to engage in agroforestry practices because of the benefits that can be derived
from this both by the farmers and the society at large.
5.3 RECOMMENDATIONS
The findings of the study have some important policy implications for enhancing the
willingness to engage in agroforestry practices especially in agroforestry tree planting. The
following recommendations are presented which have policy implications.
i. Government should consider making promulgations on land tenure arrangements
that give farmers sense of belongings on lands (i.e. to own more lands of theirs),
which have the potentials to make the farmers more willing to plant agroforestry
trees in the area. Tenants are less likely than landowners to engage in agroforestry
practices, because the benefits may not necessarily flow to them. Land ownership
has the potential to influence farmers’ decision on agroforestry tree planting.
ii. Farmers that are on full time farming should be encouraged to participate more in
agroforestry programmes by the governments and donor-assisted agencies at all
levels in the study area.
iii. Educated farmers should be encouraged to participate more in agroforestry
programmes, especially tree planting programmes or agricultural and/or rural
development programmes or projects that has tree planting as a component and
who will invariably help their neighbouring farmers, especially the illiterates to
be willing to plant agroforestry trees (i.e. farmer-to-farmer extension paradigm).
iv. Proactive measures should be taken in the extension programmes of the Ministry
of Agriculture and Ekiti State Agricultural Development Programme (EKADEP)
to involve farmers in their tree planting programmes and campaigns. Farmers
should be co-opted to participate in the planning, implementation and execution
of agroforestry programmes. Farmers should be enlightened by agroforestry
extension personnels that participation in other agricultural programmes or
projects do not make them to loose their benefits when they engage in
agroforestry practices.
v. Technical and institutional support constraints should be addressed through
provision of more credit through public policies and even creating more
awareness of non-governmental organizations (NGOs) interested in agroforestry
programmes. Farmers should even be made to be aware of relevant credit support
for tree planting and NGOs that are involved in supporting agroforestry
programmes in the study area.
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APPENDIX A
Questionnaire/ Interview Schedule
A. Location
1. Zone……………………………………………………………………
2. Local Government Area……………………………………………….
3. Village /Town……………………………………………………………
B. Socio-economic, institutional and farm-specific characteristics of farmers
1. Name (optional)………………………………………………………………..
2. Age in years……………………………………………………………………
3. Marital Status: Single Married Widow Divorced
4. Sex of the house head: Male Female
5. Level of Education:
i. Never attended school ii. Attended primary school
iii. Attended secondary school iv. Attended any higher institution
6. How many years did you totally spend in school…………………………
7. Number of people in your farming household…………………………….
8. Is farming your primary occupation? Yes No If No, which of the
following? (i). Craftsman (ii). Civil servant (iii). Trading
Specify, if others………………………………………………..
9. What is the average distance to your farm(s) in kilometers from your
homestead?………………..
10. Do you belong to any civil, local and farm association(s): Yes No If
yes, how many………………………….
11. For how long have you been farming? …………………………………….
12. What is your average income from farming in the last cropping season?
………………………………… (in Naira).
13. Did you have access to credit in the last cropping season? Yes No
……………………………..
14. Did extension workers or agents visit your farm in the last cropping season? Yes
No If yes, how many times………………………….
15. Do you own the land you use in farming? Yes No
16. Are agroforestry tree planting materials available to you? Yes
No
C. Agroforestry practices observed by the farmers in the study area
17. Are you willing to plant agroforestry trees? Yes No
18. Which of the following agroforestry practices do you engage in?
(i). Approved tungya system (ii). Retaining trees on farmlands
(iii). Cocoa agroforestry (iv). Mulching with agrofoestry species
(v). Woodlot (vi). Alley farming (vii). Planting and retaining of
trees with livestock rearing (viii). Planting and retaining of trees with
planting of arable crops
D. Land Tenurial systems practiced by the farmers in the study area
19. Which of the following land tenurial systems do you practice in association with
agroforestry tree planting?
(i). Inheritance (ii). Gift (iii). Purchasing
(iv). Renting/Leasing (v). Government land (Approved Taungya
system)
E. Farmers’ attitude towards agroforestry tree planting and engagement in other
agroforestry practices in the area
Please tick the appropriate most column (√) below
S/No Items Strongl
y Agree
Agre
e
Disagre
e
Strongly
Disagre
e
1. Engaging in agroforestry practice is
necessary to achieve increased agricultural
productivity
2. Engaging in agroforestry practice is
necessary to enhance farmers income
generation
3. Most farmers are not willing to plant
agroforestry trees due to lack of fund
4. Planting and nurturing of agroforestry trees
is not encouraging because it affects other
farm activities negatively (e.g paying little
attention to the other farm activities)
5. Planting and retention of agroforestry trees
makes extension workers to provide better
services to farmers
6. Engaging in agroforestry practice has made
governments to be more responsive to
farmers’ needs
7. Farmers stand to loose their benefits of
participating in other agricultural
programmes if engaging in agroforestry
practice
8. Engaging in agroforestry practice makes
farmers to benefits more from donor
assisted agroforestry programmes
9. Engaging in agroforestry practice enhance
the farmers’ access to agroforestry tree
products (AFTPs)
10. Engagnig in agroforestry practice enhance
the nutritional status of the farmers
households
11. Farmers engage in agroforestry practices
because it helps farmers to benefit from
other donor assisted agricultural and rural
development programme in the state
12. Planting and nurturing of agroforestry trees
don’t allow expansion of food crop farm
areas
13. Engaging in agroforestry practice reduces
land degradation due to deforestation
14. Engaging in agroforestry practice helps in
the improvement of soil fertility
15. Planting and retention of agroforestry trees
to improve environmental sustainability
16. Engaging in agroforestry tree planting has
increased the farmers’ use of tree products
for local medicinal purposes
F. Farmers’ Constraints to Agroforestry tree planting and engagement in other agroforestry
practices in the study area
Please tick the most appropriate column (√) below
S/No Items Very
Serious
Serious Less
Serious
Not
Serious
1. Illiteracy of the farmers
2. Lack of adequate extension programmes directed
towards agroforestry practice
3. Poor access to agroforestry tree planting information
by the farmers
4. Limited Government responsiveness to agroforestry
tree management and programme
5. Insufficient funds/finance
6. Lack of adequate access to agroforestry practices/
technologies
7. Lack of adequate access to supporting institutional
facilities e.g, cooperative, tree planting education
programme.
8. High cost of improved agroforestry tree planting
materials
9. Poor agricultural extension service delivery
10. Inherited system of land ownership
11. Non-availability of farm labour
12. High cost of fertilizers and other inputs
13. High cost of farmland
14. Involvement of the farmers in some off farm jobs,
e.g. trading, artisans, teaching, etc.
15. Insufficient knowledge of credit source to support
farm work.
16. Inadequate government policies to encourage
farmers in agroforestry practices
17. Unwillingness of the farmers to take risks involved
in planting, retaining and nurturing agroforestry trees
18. Lack of access to and awareness about NGOs
programme for agroforestry tree planting
19. Religious belief of the farmers about tree planting
20. Poor technical know-how of the farmers in relation
to agroforestry tree planting technology