Agricultural Productivity Growth in Latin America and the - GTAP
Financial Deepening and Bank Productivity in Latin America
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Financial Deepening and Financial Deepening and Bank Productivity in Bank Productivity in Latin America Latin America Georgios Chortareas University of Athens Claudia Girardone University of Essex Jesus G. Garza Garcia University of the West of England Cass Business School Emerging Scholars in Banking and Finance December 9 th , 2009
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Financial Deepening and Bank Productivity in Latin America. Georgios Chortareas University of Athens Claudia Girardone University of Essex Jesus G. Garza Garcia University of the West of England Cass Business School Emerging Scholars in Banking and Finance December 9 th , 2009. - PowerPoint PPT Presentation
Transcript of Financial Deepening and Bank Productivity in Latin America
Financial Deepening and Financial Deepening and Bank Productivity in Latin Bank Productivity in Latin AmericaAmericaGeorgios ChortareasUniversity of Athens
Claudia GirardoneUniversity of Essex
Jesus G. Garza GarciaUniversity of the West of England
Cass Business SchoolEmerging Scholars in Banking and Finance
December 9th, 2009
IntroductionIntroductionFinancial liberalisation has been a recent
important trend in the financial sectors in Latin America.
Main idea was to generate a more competitive banking sector.
Aizenman (2005) suggests that financial liberalisation gained from increased savings in the economy (mainly through foreign capital).
This increase in savings in the economy was expected to increment the level of financial deepening in the economy (particularly the credit to the private sector).
Financial DeepeningFinancial DeepeningFigure 1
Bank Credit to the Private Sector in terms of GDP, Average Percentage
1999-2006
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Data obtained from IFS (International Financial Statistics) from the IMF (line 32D.ZF).*The Latin American average is calculated using the following countries: Argentina, Brazil, Chile, Colombia, Costa Rica, Paraguay, Peru, Uruguay and Venezuela. For Venezuela the average is calculated from 1999-2004 due to data availability. **The South East Asia average is calculated using the following countries: Brunei, Cambodia, Malaysia, Laos, Myanmar, Singapore, Thailand, Hong Kong, South Korea, Philippines and Vietnam. The average for Brunei and Vietnam was computed for the years 1999-2005 and for Myanmar from 1999-2004 due to data availability. ***The data for the EURO Area was elaborated including all the countries in the European Union.
Figure 2Figure 2Financial Deepening in Financial Deepening in Latin AmericaLatin America
Source: IFS (International Financial Statistics from the IMF)*The Latin American average is calculated using the following countries: Argentina, Brazil, Chile, Colombia, Costa Rica, Paraguay, Peru, Uruguay and Venezuela; except for M2/GDP in which Peru and Venezuela were excluded due to data availability.
Literature ReviewLiterature ReviewEconomists have largely disagreed on the role
of financial development and economic growth.
Increased numbers of financial institutions and financial instruments help reduce information costs in the economy (Rioja and Valev, 2004).
Many other studies find a positive relationship between finance and growth (King and Levine (1993a, b, c), Roubini and Sala-i-Martin (1992), Pagano (1993), Jayaratne and Strahan (1996), Levine (1997a, 1998), Arestis and Demetriades (1997), Rajan and Zingales (1998), Lindh (2000), Levine et al. (2000) among others.
Literature ReviewLiterature Review“Thus, if finance is to explain
economic growth, we need theories that describe how financial development influences resource allocation decisions in ways that foster productivity growth...”
Levine, 2004: p. 6
Literature ReviewLiterature ReviewRecent studies address how financial
development affects economic growth through greater productivity (economic).
Particularly, Levine et al. (2000), Arestis et al. (2002) and Arestis et al. (2006) argue that financial development affects economic growth through productivity growth.
There are various studies which suggest that financial development may enhance greater economic productivity and contribute to a more efficient allocation of capital.
MotivationMotivationLatin American financial systems are
highly bank- based.Extensive literature on the relationship
between financial deepening and economic growth.
No literature focusing on the microeconomic relationship: financial deepening and banking productivity and/or vice-versa.
Financial deepening forms the broad environment in which banks operate.
DataDataData obtained from Bankscope
and the IFS from the IMF.Study includes 9 Latin American
countries: Argentina, Brazil, Chile, Colombia, Costa Rica, Paraguay, Peru, Uruguay and Venezuela.
Observations: 973Years: 2000 - 2006
MethodologyMethodology
tiitititi
ttitititititititi
taGDPpercapiXRATEGOV
TRADECPIPCRPCRPCRTFPTFP
,,8,8,7
,6,52,41,3,21,1,,
TFP = TOTAL FACTOR PRODUCTIVITYPCR= CREDIT TO THE PRIVATE SECTOR /GDPCPI = CONSUMER PRICE INDEXTRADE = SUM OF EXPORTS + IMPORTS / GDPGOV = TOTAL GOVERNMENT EXPENDITURE / GDPXRATE = AVERAGE ANNUAL EXCHANGE RATEGDP per capita = GROSS DOMESTIC PRODUCT per capita
GMM Panel Data: endogenous variables (TFP, PCR) exogenous variables: macro variables
TFP or the Malmquist TFP or the Malmquist IndexIndexThe Malmquist Productivity Index is a
distance function which measures the degree of productivity using a multi input and multi output approach.
Created by the Swedish statistician Malmquist in 1953, it was first proposed by Caves, Christensen, and Diewert (1982).
It has since been further developed by Fare (1998), Fare et al. (1994) among others.
TFP or the Malmquist TFP or the Malmquist IndexIndex
21
111
1111111
1, ),(),(
),(),(),,,(
ttt
ttt
ttt
ttttttt
tt xyDxyD
xyDxyDxxyyM
Where M is the Malmquist Productivity Index D is the distance function made up of inputs and outputs. A value of M >1 implies an increase of productivityA value of M=1 means no change in productivity and M <1 is a reduction in productivity.
The distance function is the DEA input-oriented approach.x = inputs (interest rate expenses, personnel expenses and other operating expenses)y= outputs (loans and other earning assets)
TFP or the Malmquist TFP or the Malmquist IndexIndex
21
111
11
1
11111
1, ),(),(
),(),(
),(),(),,,(
ttt
ttt
ttt
ttt
ttt
ttttttt
tt xyDxyD
xyDxyD
xyDxyDxxyyM
MI(TFP) TEC TC
Where MI represents the Malmquist Index (TFP- Total Factor Productivity), TEC is the technical efficiency change and TC is the technological change.
• The technical efficiency change relates to how close firms are operating in relation to the best practice frontier. • On the other hand, technical change refers to the shift in the best practice frontier.
Empirical ResultsEmpirical ResultsFigure 3
TFP, TC and TEC average annual geometric average in Latin America (%)
TFP, TC and TEC are the geometrical averages for the corresponding years in Latin America. The Latin American average includes the countries in study: Argentina, Brazil, Chile, Colombia, Costa Rica, Paraguay, Peru, Uruguay and Venezuela.
Empirical ResultsEmpirical ResultsTable 1
GMM dynamic panel data, TFP as the dependent variableTFP(a)
TFP(b)
TFP(c)
TFP lagged(t-1) .061 -.059 -.019
PCR 1.133*** 1.488*** PCR lagged(t-1) 1.56*** -.845
PCR lagged(t-2) .832* .228
CPI .032*** .031*** .043*** TRADE -.34 .267 -.082 GOV -2.618*** -2.857* -2.647**XRATE -.036*** -.095* -.058*GDP per capita -.059 -.039 -.184 Cte. 1.481** 1.128 2.511** AR(1)p-valueAR(2)p-valueHansen J testp-valueObservationsYear dummies
-2.04(0.042)
1.22(0.224)25.89 (0.359)
973Yes
-1.58(0.113)-0.19
(0.853)28.31
(0.166)513Yes
-1.87 (0.062)-0.03 (0.977)19.48 (0.427)
973Yes
Empirical ResultsEmpirical ResultsTable 2
GMM dynamic panel data, PCR as the dependent variablePCR(d)
PCR(e)
PCR(f)
PCR lagged(t-1) .463** .986*** .835*** TFP .016*** .008* TFP lagged(t-1) -.011 -.015 TFP lagged(t-2) -.024** -.005 CPI -.005*** -.004*** -.006*** TRADE .286*** .22*** .223*** GOV .683*** .21 .301 XRATE -.001 -.009 -.006 GDP per capita .095*** .11*** .117*** Cte. -.8*** -.902*** -.951*** AR(1)p-valueAR(2)p-valueHansen J testp-valueObservationsYear dummies
-2.6(0.009)-2.02
(0.043)44.96
(0.006)973Yes
-1.44(0.150)-1.15
(0.251)36.91
(0.024)513Yes
-1.05 (0.293)-1.02 (0.310)22.57 (0.257)
513Yes
ResultsResultsThe main findings indicate there is a
strong positive relationship between TFP and PCR and vice-versa (model f).
CPI is positive and significant when explaining banking sector productivity but negative and significant when explaining financial deepening.
TRADE, is positive and significant when explaining financial deepening.
Government expenditure is negative and significant with TFP, implying that greater government expenditure decreases banking productivity.
Other resultsOther resultsXRATE variable is negatively and
significantly related TFP.GDP per capita is positively and
significantly related with PCR.
Conclusions 1/2Conclusions 1/2The above results are in general
supportive of a positive relationship between financial deepening and banking productivity.
This finding suggests that a channel through which the beneficial effects of financial deepening find their way through the economy is the banking system.
Conclusions 2/2Conclusions 2/2Evidence of reverse causality
between financial deepening and banking productivity.
The finding of reverse causality may indicate the existence of a virtuous cycle between financial deepening and banking productivity where one facilitates the other.
Policy ImplicationsPolicy ImplicationsPolicy oriented measures in the
region should take in consideration the positive causality between financial deepening and banking productivity and try to increase the level of credit to the private sector as a stimulant of economic growth.
