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Financial Deepening and Bank Productivity in Latin America

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Title: Financial Deepening and Bank Productivity in Latin America


1
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 9th, 2009

2
Introduction
  • Financial 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).

3
Financial Deepening
Figure 1 Bank Credit to the Private Sector in
terms of GDP, Average Percentage 1999-2006
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.
4
Figure 2Financial Deepening in Latin 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.
5
Literature Review
  • Economists 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.

6
Literature 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

7
Literature Review
  • Recent 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.

8
Motivation
  • Latin 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.

9
Data
  • Data 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 973
  • Years 2000 - 2006

10
Methodology
GMM Panel Data endogenous variables (TFP, PCR)
exogenous variables macro variables
TFP TOTAL FACTOR PRODUCTIVITY PCR CREDIT TO
THE PRIVATE SECTOR /GDP CPI CONSUMER PRICE
INDEX TRADE SUM OF EXPORTS IMPORTS / GDP GOV
TOTAL GOVERNMENT EXPENDITURE / GDP XRATE
AVERAGE ANNUAL EXCHANGE RATE GDP per capita
GROSS DOMESTIC PRODUCT per capita
11
TFP or the Malmquist Index
  • The 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.

12
TFP or the Malmquist Index
Where M is the Malmquist Productivity Index D is
the distance function made up of inputs and
outputs. A value of M gt1 implies an increase of
productivity A value of M1 means no change in
productivity and M lt1 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)
13
TFP or the Malmquist Index
  • 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.

14
Empirical Results
Figure 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.
15
Empirical Results
Table 1 GMM dynamic panel data, TFP as the
dependent variable
TFP (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-value AR(2) p-value Hansen J test p-value Observations Year dummies -2.04 (0.042) 1.22 (0.224) 25.89  (0.359) 973 Yes -1.58 (0.113) -0.19 (0.853) 28.31 (0.166) 513 Yes -1.87 (0.062) -0.03 (0.977) 19.48 (0.427) 973 Yes
16
Empirical Results
Table 2 GMM dynamic panel data, PCR as the
dependent variable
PCR (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-value AR(2) p-value Hansen J test p-value Observations Year dummies -2.6 (0.009) -2.02 (0.043) 44.96 (0.006) 973 Yes -1.44 (0.150) -1.15 (0.251) 36.91 (0.024) 513 Yes -1.05 (0.293) -1.02 (0.310) 22.57 (0.257) 513 Yes
17
Results
  • The 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.

18
Other results
  • XRATE variable is negatively and significantly
    related TFP.
  • GDP per capita is positively and significantly
    related with PCR.

19
Conclusions 1/2
  • The 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.

20
Conclusions 2/2
  • Evidence 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.

21
Policy Implications
  • Policy 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.
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