Coping with Extreme Climate Events Policy Implications Joyashree Roy Professor of Economics...
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Transcript of Coping with Extreme Climate Events Policy Implications Joyashree Roy Professor of Economics...
Coping with Extreme Climate Events
Policy Implications
Joyashree RoyProfessor of Economics Coordinator-Global Change Programme-JUJadavpur University, KolkataMay 12, 2006
Research Question
Why and How to bind climate issues with wider developmental
issues.
Natural Resource Base
Access to water And sanitation
Extrem
e events
Livelihoods
Participation In Decision
making
Health
VulnerabilityTo Environmental
Change
Opportunity Security
Empowerment
Access to environmental info
Elements of Well being
Dimensions of Poverty
Ex of Env factors
Environmental
Links to dim
ensions
of poverty
Bottom up Approach
Building up from Observing the Behaviour
of direct stakeholders
Design of the study• identification of hotspots• understanding vulnerability • identifying coping mechanism: households and
communities • adaptive actions of
– vulnerable groups with private motive – government and non-government external agencies with
social welfare motive – generate both private and public goods and services.
• Careful analysis of these will provide us with a portfolio of actions.
Stake holders’ perception and action
• Through community response
• Through Household response
– Responses are based on the field survey following LIFE approach
Policy Framework
• Sustainable development goals
– Livelihood: employment– Institution: decision making, social capital– Food: poverty– Empowerment: education, health..
Hot spot selection
• hydrological model results on climate variability related water availability scenarios
• district wise map representing population density, intensity of agricultural activity, degree of water stress/abundance, precipitation pattern – They all were then overlaid on each other to identify
the villages i.e. the hotspot as intersection of all these characteristics.
• the households in each village have been first stratified according to their landholding pattern
Study area• The flood basin survey has been conducted in
– villages of Nandabar, Karabar and Manitiri of the Nayagarh district of Orissa in the Mahanadi river basin.
• the drought survey has been carried out in – sabarkantha and Ahmedabad of gujarat in the Sabarmati
river basin. Eight villages - two each from the talukas Himmatnagar and Modasa in Sabarkantha and Dholka and Sanand in Ahmedabad have been selected for the survey.
• A total of approximately 200 households have been surveyed which due to random selection procedure can be considered a fairly representative sample.
Vulnerability assessment
• Vulnerability of the study areas has been judged by three component indices representing three sources of vulnerability: threats to livelihood (VIL), food security (VIF) and access to market (VIM) based on household responses.
Vulnerability status
Category Sabarmati Hotspot Mahanadi Hotspot Percentage of households showing a more than 10% fall in monthly expenditure during extreme events
84 100
Percentage of households showing a more than 10% fall in monthly food expenditure during extreme events
28 84
Percentage rise in the price of staple food during extreme events
10 to 50 85 to 150
Coping capacity
• Diversified occupational pattern
• Infrastructure facilities
• Asset position
• Social capital
• Indebtedness
Mahanadi Hotspot: Occupational Distribution
0
20
40
60
No. o
f ho
useh
olds
Agriculture Business and selfemployment
Mahanadi Hotspot: Types of Farmers
51%
31%
16% 2%
Marginal
Small
Semi- medium
Medium
Mahanadi Hotspot: Land Distribution
80%
20%
Farm land
Non farm land
Mahanadi Hotspot: Educational Distribution
8%
90%
2% Illiterate
Primary/Secondary
Graduation and above
Mahanadi Hotspot: Lighting Fuel
0
5
10
15
20
No.
of
hous
ehol
ds
Kerosene Electricity
Mahanadi Hotspot: Cooking Fuel
0
10
20
30
40
50
No
. o
f h
ous
eho
lds
Wood Kerosene Electricity Cookinggas
Mahanadi Hotspot: Cropping Pattern
05
101520253035404550
No.
of
Hh
lds.
Pad
dy
Suga
rcan
e
Veg
etab
le
Nut
s
Pul
ses
(moo
ng)
Mahanadi Hotspot: Short-term Coping Strategies
33%
18%18%
2%
18%
11%
Store dry food andmedicinesWork in othervillagesCrop insurance
Migration
Protect livestock
Pray
Mahanadi Hotspot: Long-term Coping Strategies
30%
5%56%
9%
Build floodresistant houses
Build wallsaround houses
KeepcontingencyfundsBuy polythene
Mahanadi Hotspot: Infrastructure : Source of Potable Water during Floods
58%
2%16%
24% Flood water
Filtered flood water
Traditional souces
Non available
Mahanadi Hotspot: social capital: Support from Relatives
0
10
20
30
40
50
60
70
80
90
% o
f h
hld
s
Food Clothes Seeds Housingmtl
Cashaid
Loans Free lab
Mahanadi Hotspot: Social capital: Support from Villagers & Friends
0
10
20
30
40
50
60
70
80
90
% o
f h
hld
s
Food Clothes Seeds Housingmtl
Cashaid
Loans Free lab
Mahanadi Hotspot: Institution: Governmental Support
0
20
40
60
80
100
% o
f HH
lds
Food Clothes Seeds Housing mtl Cash aid
Mahanadi Hotspot: Institution: NGO Support
0102030405060708090
100
% o
f hhl
ds
Food Clothes Seeds Housingmtl
Cashaid
Loans Free lab
Mahanadi Hotspot: Policy Suggestions by Stakeholders
05
1015202530354045
% o
f h
hld
s
Cro
pco
mp
en
satio
n
Ag
ri in
pu
t a
id
Sto
rag
e
Dri
nki
ng
wa
ter
He
alth
Tra
nsp
ort
Kn
ow
led
ge
Ess
en
tials
PD
S
Lo
an
Sabarmati Hotspot: Occupational Distribution
45%
13%
35%
6% 1%0%Agriculture
Animal Husbandry
Agricultural Labour
Labour
Service
Business
Sabarmati Hotspot: Pattern of Land Holding
31%
63%
5%1% Landless
Marginal
Small
Semi- medium
Sabarmati Hotspot: Lighting Fuel
57%
43%
Electricity
Others
Sabarmati Hotspot: Cooking Fuel
100%
Woodt
Sabarmati Hotspot: Coping Strategies
0
10
20
30
40
50
60
70
80
% o
f hou
seho
lds
Diss
ave
Borr
ow m
oney
Mor
tgag
e pr
oper
ty
Sell
prop
erty
Leas
e ou
t pro
pert
y
Sell
lives
tock
Sell
log
Mig
ratio
n
Wor
k in
Gov
t
Save
fodd
er
Buy
fodd
er
Sabarmati Hotspot: Reported Damage to Crops
0
10
20
30
40
50
60
% o
f h
hld
s
Pad
dy
Whe
at
Jow
ar
Baj
ra
Cum
in
Cot
ton
Pul
ses
Cas
tor
Mai
ze
Sabarmati Hotspot: Village-wise Irrigation Availability
0 1000 2000 3000 4000 5000
Area (in ha.)
Nani-Demoi
Charanwada
Faredi
Juda
Vanaliya
Vejalka
Total
Irrigated area
Unirrigated area
Sabarmati Hotspot: Financial Aid Distribution
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
State Govt Others
% o
f h
ou
seh
old
s
Aid non-receivers
Aidreceivers
Sabarmati Hotspot: Policy Suggestions by Stakeholders
0
10
20
30
40
50
60
70
80In
sura
nce
Irri
gati
on
Mo
re
reli
ef
Hig
her
wages
Lo
an
Fo
dder/
fert
ilis
er/
Catt
le
cam
p
Subsi
dy
on
seeds
Adaptive capacity
• Complex combination of – technology – institutional governance
• Policy matrix
Policy MatrixTime Scale, Coverage & Actor
Technical Institutional
Policies Common to Flood & Drought Prone Areas Short –term Local Measures
Early detection systems of extreme weather events
Communication of early warning systems
Emergency relief Public distribution systems. &
Food banks Purchase/mortgage scheme for
livestock
Medium –term Community/state level Measures
Diversification of livelihoods through skill formation
Low interest credit systems
Better education Yearly joint scientific
meetings Long –term National Measures
Capacity building that transforms livelihood option set
R&D to develop disaster resistant crop strains
R&D to develop alternative cropping patterns
Investments in studying “the diverse” impacts of floods /droughts including impacts on water quality
Investments in rainfall & river monitoring & their modeling
Media- radio/T.V. programme disseminating information on adaptation measures
Policy MatrixPolicies Specific to Flood Prone Areas Short –term Local Measures
Safe places Flood proofing (structural & non-
structural) Water management through
appropriate storage and distribution systems to accelerate access to safe water
Food preservation
Resources to address disease outbreak
Medium –term Community/state level Measures
Phasing out high-risk land use practices
Assessing redistribution of risks from structural measures including dams, diversions and dykes
Recognising both positive & negative aspects of “floods”
Fostering institutional learning Investment in public health Policies to encourage efficient
water use Long –term National Measures
Building for current & future regimes
Enforcing land-use zoning & building restrictions in flood plains or removing perverse incentives for inappropriate risk-taking or redistributing involuntary risks likely to help for current & future variability
Inter-governmental cooperation on information systems including those related to assessing changes in flood regime due to climate interacting with land-use –residential & agricultural.
Policy Matrix
Policies Specific to Drought Prone Areas Short –term Local Measures
Small storage ponds Low cost irrigation
Early purchase schemes for livestock at good prices
Medium –term Community/state level Measures
Data dissemination
Ensuring technological gains are not over-run by increases in intensity of activities (enforced caps on crops/year, land receiving water)
Employing people during drought Information systems and
monitoring to ensure “fair compliance” &allocation at times of scarcity. “Managers” can then do their jobs
Water rights Long –term National Measures
Improving scientific knowledge, data capability
Investments in R&D in water saving practices and varieties
Regional water sharing agreements Water resource development
strategies that “take-into-account” variability
Structural changes Shift towards demand management
rather than never-ending strategies of augmenting supply
Thank youThank you