The African Financial
Development Gap*
Lemma Senbet
University of Maryland and AERC
*Keynote address in honor of Erik Thorbecke, Cornell University, April 2013
BACKGROUND
Background
Africa is Rising
In late 50s into early 60s most African countries were regarded at par or ahead of most developing countries in Asia and Latin America in terms of economic development.
Yet, Africa’s growth performance has long been disappointing, referred to as a tragedy by some commentators.
But changing: Africa growth renaissance
Africa rising!
Africa On the Move
Pre-Crisis Period
In the aggregate, Africa began rising in the wake of the 21st century and had, in fact, experienced, what amounts to growth renaissance
That was before it got caught up in the global crisis.
GDP growth of 5.2% for the three year period (2002-2007) prior to the crisis, outpacing population growth
Inflation was brought under control
Improvement in fiscal discipline
Declining debt burden/increasing capacity for debt service
Increasing foreign investment and remittance flows
Performance not Accidental Payoffs to Reforms
Impressive performance outcomes are payoffs to economic and financial sector reforms – not accidental
Extensive economic and financial sector reforms over the last two decades, including large scale privatization programs as well as measures to empower private initiative, measures for capital market development
Emergence of stock markets in Sub-Saharan Africa as a particularly interesting feature, including a regional market
Resilience and Diversity of African
Economic Performance
Overall, African economies have been resilient to the global crisis
The effect of the crisis was, nonetheless, significant
The growth dropped to 2.5% from a three-year pre-crisis average of 6% [Channel for crisis transmission]
However, no bailouts, no large bank failures, no large company failures
Growth has resumed, even accelerating
For years, oil and other commodities have been drivers of growth, but currently non-oil producing countries are growing at a similar rate
Now seven African countries are among the fastest growing in the world
SSA is growing faster than Asia, except China and India
Challenge: African Financial
Development Gap
Growing evidence for the role of finance in economic development
Yet, most countries in Africa face a severe financial development gap relative to not only the advance economies but other developing economies.
The pre-crisis 2007 financial development indicators are telling in that respect
African Financial Development Gap
Banking depth: The liquid liabilities of financial sectors averaged about 30 percent of GDP for Sub-Saharan Africa
The indicator averaged 50% or more for Latin America, East Asia, South Asia, the Middle East and North Africa
Banking intermediation: Things even worse on this score: the pre-crisis 2007 average private date credit provision scaled by GDP was half the size for other developing countries
But, why do we care about this low level of financial development?
Financial Sector Development and
Economic Development
A financial system should be judged ultimately on its role in economic development.
The available empirical evidence is that well-functioning financial systems, along with well-designed institutions and regulatory systems, foster economic development (e.g., Levine and
Zervos, 1998).
Some evidence in the context of Africa as well (e.g., Yartey and Adjasi, 2007; follow-up by Senbet and
Otchere, 2008)
Implications for Africa
The empirically supported positive linkage between financial sector development and economic development provides a strong case for the development of a well-functioning financial sector in Africa.
The implication for Africa: Suggests a linkage between financial sector development and poverty alleviation, as well as employment creation.
The central question is how to develop a well-functioning financial sector and build its capacity so as to exploit its potential contribution to economic development.
Channel: Capacity of financial systems to perform multiple functions and not mere existence of the systems.
Multiple Functions
Illustrative Case of the Stock Markets
Stock market liquidity is positively and robustly correlated with contemporaneous and future rates of economic growth, capital accumulation and productivity growth.
Stock market liquidity promotes investments in longer-run or long-duration, yet high return, projects that would otherwise be foregone. Investors can readily trade their stake.
Stock markets allow for risk-sharing, which in turn allows firms to mobilize capital at a lower cost of capital.
Valuable projects are now adopted which might have been rationed out in the absence of a well-functioning stock market. As many firms face improved stock market opportunity, the aggregate economy also benefits.
Stock markets promote efficient governance of a listed companies by exerting external pressure and discipline on management.
Multiple Functions
Illustrative Case of the Stock Markets
Stock market liquidity is positively and robustly correlated with contemporaneous and future rates of economic growth, capital accumulation and productivity growth.
Stock market liquidity promotes investments in longer-run or long-duration, yet high return, projects that would otherwise be foregone. Investors can readily trade their stake.
Stock markets allow for risk-sharing, which in turn allows firms to mobilize capital at a lower cost of capital.
Valuable projects are now adopted which might have been rationed out in the absence of a well-functioning stock market. As many firms face improved stock market opportunity, the aggregate economy also benefits.
Stock markets promote efficient governance of a listed companies by exerting external pressure and discipline on management.
Stock Markets and Development Multiple Functions as a Channel
Stock Market
Development
Capitalization
Liquidity
Volatility
Global
Integration
Economic Development
Economic Growth
Capital Accumulation
Productivity Growth
Saving Rates
14
A Closer Look at the African Financial
Development Gap*
Measuring the African financial development gap:
Obtain predicted levels of financial development for SSA countries, based on
regression analyses of other low- and middle-income countries
For the majority of SSA countries, the actual levels of banking sector
development are below predicted levels
Analyzing determinants of financial development:
Population density seems to matter more for Africa;
Natural resources ‘curse’: Similar in Africa and elsewhere;
Macroeconomic conditions and institutional environment: Not as important
[Allen, Carletti, Cull, Qian, Senbet, Venzuela (NBER,2012)]
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Summary statistics Allen, Carletti, Cull, Qian, Senbet (NBER, 2012)
World (minus Africa) Africa Variable
Mean Standard
Deviation
Mean Standard
Deviation
Liquid liabilities / GDP 64.2% 47.4% 27.5% 17.7%
Private credit / GDP 57.7% 45.3% 17.6% 22.7%
Stock Market Capitalization / GDP 52.1% 60.0% 25.6% 43.8%
Stock Market Value Traded / GDP 34.1% 50.9% 6.5% 20.0%
Ln(Population) 2.44 1.59 2.24 1.33
Ln(Population density) 0.44 1.94 0.09 0.12
Natural resources 0.5 2.41 0.15 0.77
Offshore center 4.4% 20.7% 0.0% 0.0%
Ln(Per capita income) 2.25 1.04 0.38 0.94
Population * GDP per capita 0.48 1.35 0.03 0.07
Real GDP growth rate 4.1% 2.5% 4.8% 2.7%
Inflation rate 5.2% 5.2% 9.3% 15.0%
Current Account balance / GDP 0.2% 8.1% -3.8% 6.7%
KKM index 0.33 0.9 -0.54 0.58
Bank concentration 0.65 0.19 0.81 0.14
Foreign ownership share 27.1% 25.9% 44.4% 24.4%
State ownership share 15.9% 19.7% 13.3% 16.6%
Manufacturing / GDP 16.8% 6.1% 11.0% 7.3%
Secondary/Primary school enrollment 0.81 0.24 0.33 0.18
Roads / Area 1.07 1.65 0.21 0.22
Railroads / Area 0.03 0.03 0 0
Urban population 63.6% 20.7% 36.2% 17.2%
Geographic branch penetration 29.76 80.07 7.97 22.49
Demographic branch penetration 16.51 17.28 2.86 3.64
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Benchmarking Financial Development
FDi = α + β1Populationi Exogenous determinants, based on Beck et al.
+ β2Population Densityi (2008)
+ β3Natural Resourcesi
+β4Offshore Centeri
+β5Per Capita Incomei Plausibly exogenous, Financial development
+β6Population*GDP Per Capitai affects these variables at a lag, Beck et al. (2008)
+β7Real GDP Growth Ratei Macroeconomic variables
+β8Inflation Ratei
+β9Current Account Balance/GDPi
+Β10KKM Indexi Index of institutional development
+ β11Bank Concentration Banking sector structure and ownership variables
+Β12Foreign Ownership Sharei
+Β13State Ownership Sharei
+Β14Manufacturing/GDPi Other variables
+Β15Secondary/Primary enrolment
+ εi
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Regressions for non-African countries
Liquid liabilities / GDP Private credit / GDP
All Low + Middle income All Low + Middle income
(1) (2) (3) (4) (5) (6) (7) (8)
Ln(Population) -0.017 -0.003 -0.001 -0.035 0.003 0.015 0.002 -0.027
(0.021) (0.028) (0.019) (0.030) (0.018) (0.021) (0.017) (0.026) Ln(Population Density) 0.074*** 0.031 0.036 0.032 0.018 0.019 0.032* -0.020
(0.023) (0.027) (0.022) (0.022) (0.019) (0.020) (0.019) (0.019)
Natural Resources -0.038*** -0.069*** -0.034 -0.062* -0.022* 0.0002 -0.010 -0.026 (0.014) (0.019) (0.033) (0.036) (0.012) (0.014) (0.028) (0.031)
Offshore Center 0.247* 0.133 0.369*** 0.341*** 0.191 0.159 0.374*** 0.339***
(0.145) (0.170) (0.112) (0.121) (0.123) (0.127) (0.096) (0.102) Ln(Per Capita Income) 0.222*** 0.061 0.056 -0.091 0.275*** -0.016 0.089** -0.063
(0.036) (0.083) (0.039) (0.065) (0.031) (0.062) (0.034) (0.055)
Population * GDP Per Capita
0.004 -0.013 0.006 0.061 0.071** 0.062** -0.031 0.015
(0.032) (0.033) (0.100) (0.101) (0.027) (0.024) (0.086) (0.084)
Real GDP Growth Rate -2.015 -2.619** -3.129*** -1.769** (1.514) (1.159) (1.126) (0.974)
Inflation Rate -1.219 -0.946* -1.092** -0.894**
(0.751) (0.505) (0.559) (0.424) Current Account Balance /
GDP 1.519*** 1.565** 0.392 1.236**
(0.556) (0.658) (0.414) (0.553) KKM Index 0.239*** 0.215*** 0.362*** 0.210***
(0.093) (0.080) (0.069) (0.067)
Manufacturing / GDP -1.313** 0.436 -0.127 0.651 (0.652) (0.580) (0.485) (0.487)
Secondary/Primary
Enrollment -0.335 -0.040 -0.130 -0.004
(0.241) (0.179) (0.179) (0.150)
Constant 0.383*** 1.188*** 0.467*** 0.990*** -0.041 0.782*** 0.248*** 0.640***
(0.123) (0.223) (0.101) (0.167) (0.104) (0.166) (0.087) (0.141)
Adjusted R2 0.41 0.51 0.14 0.36 0.54 0.70 0.22 0.43
Observations/Countries 111 97 75 67 111 97 75 67
18
Private credit/GDP: Actual vs. predicted values
19
Population Density: Africa (2000)
20
Explaining the African Financial Development Gap
(Regressions for SSA) Liquid liabilities / GDP Private credit / GDP
All Without South Africa All Without South Africa
(1) (2) (3) (4) (5) (6) (7) (8)
Ln(Population) -0.035 -0.004 -0.029 -0.011 -0.058** -0.021 -0.007 0.013
(0.026) (0.026) (0.031) (0.030) (0.024) (0.023) (0.022) (0.021) Ln(Population
Density)
0.074*** 0.080***
0.075*** 0.077***
0.0314* 0.049**
0.043*** 0.061***
(0.019) (0.022) (0.020) (0.024) (0.018) (0.020) (0.014) (0.016) Natural Resources -0.033 -0.013 -0.032 -0.010 -0.030 -0.001 -0.024 -0.015
(0.036) (0.047) (0.037) (0.049) (0.033) (0.041) (0.027) (0.034)
Offshore Center - - - - - - - -
Ln(Per Capita Income) 0.038 0.022 0.043 0.018 0.009 0.054 0.048* 0.073
(0.035) (0.078) (0.037) (0.080) (0.032) (0.068) (0.027) (0.056) Population * GDP Per
Capita
0.441 -0.281
0.057 0.221
2.941*** 2.396***
-0.141 -0.163
(0.520) (0.508) (1.12) (1.197) (0.477) (0.442) (0.816) (0.834) Real GDP Growth
Rate
-0.447
-0.499
-0.607
-0.343
(1.031) (1.057) (0.898) (0.736) Inflation Rate 0.060 0.058 -0.076 -0.066
(0.192) (0.196) (0.167) (0.136)
Current Account Balance / GDP
-0.082
-0.207
-0.879*
-0.241
(0.587) (0.656) (0.511) (0.457)
KKM Index 0.116* 0.119* 0.073 0.058 (0.062) (0.063) (0.054) (0.044)
Manufacturing / GDP -0.376 -0.341 -0.085 -0.265
(0.455) (0.470) (0.396) (0.327) Secondary/Primary
Enrollment
0.372
0.379
0.179
0.144
(0.247) (0.252) (0.215) (0.175) Constant 0.548*** 0.528*** 0.545*** 0.518*** 0.297*** 0.260* 0.275*** 0.309***
(0.078) (0.2613) (0.079) (0.3044) (0.071) (0.130) (0.058) (0.243)
Adjusted R2 0.36 0.53 0.34 0.52 0.64 0.78 0.24 0.45 Observations/Countries 38 33 37 32 38 33 37 32
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Remarks
Document the African financial development gap:
Comparing actual banking sector development measures with predicted levels
based on the analyses of other developing countries
Analyze factors that are associated with fin. development:
Importance of population density: Role of mobile banking technology?
Natural resource curse;
Macroeconomic conditions and institutional environment
Ongoing work:
Nonlinear relation between pop. density and banking development?
World Bank firm-level surveys;
Household surveys in Kenya.
Toward Resolution of Financial
African Development Gap
Kenya and Equity Bank
Sub-Saharan African countries have undergone extensive
economic/financial sector reforms over the last few decades.
Yet, many still face a severe financial development gap
relative to advanced and other peer developing economies.
A key obstacle to financial development is access by the
disadvantaged to financial services, which could promote
economic growth at the broadest scales.
In view of the important role of financial inclusion, study
study the expansion strategies of Equity Bank and other banks,
and their impact on access to banking services in Kenya.
Why Kenya?
Kenya’s financial development indicators are among the best in the Sub-Saharan Africa region.
Focusing on a specific country avoids the difficulties of cross-country studies regarding omitted (or poorly measured) country-level factors.
A ‘laboratory’ for the study of financial access as it has witnessed a general expansion in bank branching and the emergence of Equity Bank, which targets low income clients and traditionally under-served geographic districts.
Why Equity Bank?
Equity Bank is a pioneering institution that devised a strategy targeting low income clients and traditionally under-served geographic areas.
It is now the third largest listed company in Kenya by market capitalization.
It does not have any government ownership.
It has 55% of the deposit accounts in Kenya and 112 branches.
Integration of the informal into formal
It has began exporting its business model to other African countries: Uganda (42 branches) and South Sudan (3 branches), and is expanding in Tanzania and Rwanda.
Equity Bank’s Business Model
The business model of the bank is based on affordability and accessibility:
Affordability: To open a bank account only requires an ID and a photo (which can be taken in the branch itself). By contrast, foreign banks, such as Barclays, require a minimum balance of about US$ 222.
Accessibility: Local languages are spoken in its branches. In central Kenya, 30-40% people speak only a minority language.
Questions
Does Equity Bank pursue different
branching strategies from other commercial
banks?
If so, do these expansion strategies lead to
different outcomes for household access to
banking services?
And do these outcomes differ by
demographics and districts?
Data
Combining a new dataset on bank penetration at the district level with household level survey data:
Bank penetration dataset
Based on branch-level information aggregated as a district-level panel on the number of branches by bank.
Covers 45 commercial banks that operated in 65 Kenyan districts in the period between 2006 and 2009.
FinAccess household surveys
Conducted by Financial Sector Deepening Trust Kenya.
4,420 completed interviews in 2006 and 6,598 in 2009.
Data on access to financial services and individual/household characteristics.
Banking Branch Expansion
The Kenyan banking system expanded 68% between 2006 and 2009 in terms of the number of branches
Expansion in all bank categories: domestic private, foreign, and government
Expansion occurred not only in urban districts but also rural, arid and semi-arid districts
However, expansion primarily driven by domestic private banks, with Equity Bank playing a major role
Equity Bank branch expansion 155% (110 from 44)
Domestic private banks 2006 2009 Change % Change
CharterHouse Bank Ltd. 10 10 0 0
National Industrial Credit Bank Ltd. 16 16 0 0
Commercial Bank of Africa Ltd. 19 20 1 5
Equity Bank 44 112 68 155
Co-operative Bank of Kenya Ltd. 52 83 31 60
Sub-Total 247 450 203 82
Foreign banks 2006 2009 Change % Change
K-Rep Bank Ltd. 22 30 8 36
Standard Chartered Bank Kenya Ltd. 31 35 4 13
Barclays Bank of Kenya Ltd. 62 119 57 92
Sub-Total 150 258 108 72
Government and government-influenced banks 2006 2009 Change % Change
Consolidated Bank of Kenya Ltd. 12 13 1 8
CFC Stanbic Bank Ltd. 16 35 19 119
National Bank of Kenya Ltd. 33 43 10 30
Kenya Commercial Bank Ltd. 117 169 52 44
Sub-Total 179 262 83 46
Total 576 970 394 68
Bank
Branch
Expansion
Bank Expansion Strategies
Stylized Facts
See Figures:
All bank groups exhibited substantial branch expansion between 2006 and 2009
All groups showed higher penetration in urban, highly populated, and educated districts
Domestic private banks had greater presence in under developed districts, and foreign banks had the least presence in those districts
Domestic privates are lead by Equity Bank – playing vital role in fostering banking services in under developed districts
Now formal analysis
Branch Expansion: Urban
districts
0
50
100
150
200
Foreign banks Govt banks Local private banks
Urban Districts
2006 2009
Branch Expansion: Low
Population Density Districts
0
50
100
150
200
250
300
Foreign banks Govt. banks Local private banks
Low Population Density Districts
2006 2009
Branch Expansion: High Minority
Language Districts
0
50
100
150
200
250
300
Foreign banks Govt. banks Local private banks
High Minority Language Districts
2006 2009
Methodology
Bank Expansion Strategies: Regression Analysis
Branchesdt = α + μt + βXd + εdt
Use of Bank Accounts: Probit Model
Pr(Bankedidt = 1) = F(α + μd + βEquitydt + γBranchesdt + φzidt)
Access to Credit: Ordered Probit Model
The dependent variable takes the value:
0 = the individual does not have a bank account/loan,
1 = the individual has a bank account,
2 = the individual has a loan from a bank.
Branch Expansion Strategies
Whole Sample Urban Excluded
Dep. variable: Number of branches over
number of banks
Equity Bank
excluded Equity Bank
Equity Bank
excluded Equity Bank
Rural -3.403** -6.440 0.101** 0.834**
Arid and Semi-Arid -3.504** -7.276*
log( Density population) -0.068 -0.311** -0.019 -0.191**
Language: Minority language -4.961** -17.880*** -1.119** -7.685***
Language: Swahili -5.047** -18.666*** -1.146** -8.194***
Dummy (2009=1) 0.101** 1.045***
log( Density population) x d2009 0.007 0.049
Language: Minority language x d2009 0.009 0.708**
Language: Swahili x d2009 0.035 0.539
Constant 8.567*** 25.869*** 1.193** 8.364***
Observations 129 129 125 125
Adjusted R-squared 0.748 0.524 0.217 0.204
Use of Banking Services and
Equity Bank Presence
Dep. variable: Bank account (1) (2) (3) (4) (5)
Bank branches 0.0010***
Equity Bank presence 0.0424*** 0.0222** 0.0555***
Foreign bank presence 0.0255 0.0273
Gov. influenced banks presence 0.0298** 0.0287*
Local Private banks presence 0.0392** 0.0216
Foreign bank branches 0.0044 0.0103***
Gov. influenced bank branches 0.0019 -0.0019
Local private bank branches -0.0028 -
0.0072***
Observations 10922 10922 10922 10922 10922
Pseudo R-squared 0.332 0.326 0.327 0.331 0.333
District Fixed Effects YES YES YES YES YES
Control Variables YES YES YES YES YES
Access to Credit
Ordered Probit Average Marginal Effects
Financial Financial Financial
Access=0 Access=1 Access=2
Bank branches 0.0039*** -0.0007*** 0.0005*** 0.0002***
Equity Bank presence 0.2637*** -0.0496*** 0.0360*** 0.0135***
Observations 10922
Pseudo R-squared 0.2918
District Fixed Effects YES
Control Variables YES
Endogeneity Issue and Additional
Tests
Difficult to establish impact if branch expansion is non-random
Instrumental variables Based on Equity Bank’s shift in banking strategy,
business model
% of people speaking a minority language in a district
Difference-in-differences Look at districts with no Equity presence in 2006
Compare change in likelihood of account for
(a) Districts Equity had entered by 2009 [treatment]
(b) Districts without Equity presence 2006,2009 [control]
IV, Diff-in-Diff Results IV GMM IV Probit Difference in Differences
Dep. variable: Bank account (1) (2) (3) (4) (5)
First stage
Minority language district -0.9086*** -0.9069***
Minority language district*2009 0.2313*** 0.2333***
Second stage
Bank branches 0.0012*** 0.0010*** -0.0021
Equity Bank presence 0.0939*** 0.0984*** 0.0293** 0.0198** 0.0280**
Foreign bank presence 0.0038
Gov. banks presence 0.0181**
Local Private banks presence 0.0095
Foreign bank branches -0.0026
Gov. bank branches -0.0007
Local private bank branches -0.0034
Observations 10922 10922 5314 5314 5314
Centered R-squared 0.759
Partial R-square of excluded IVs 0.2822
p-value of excluded instruments 0.0000
p-value of Hansen J statistic 0.1924
Pseudo R-squared 0.348 0.348 0.348
District Fixed Effects YES YES YES YES YES
Control Variables YES YES YES YES YES
Conclusions and Main Findings
We study the branch expansion strategies of Equity Bank and other banks, and their impact on access to banking services in Kenya in view of the vital role of financial inclusion in developing economies.
Kenya 2006-2009 offers a “laboratory” for the study of financial access, especially in light of the emergence of Equity Bank.
The presence of domestic private banks (including Equity Bank), government or government-influenced banks, or foreign banks is associated with increased financial access at the district level.
Conclusions and Findings - Contd
Controlling for branching by other banks,
Equity Bank presence is strongly
associated with greater usage of bank
accounts and bank loans.
Effect strongest for individuals with low
income and limited education, and for
households that do not own a permanent
home and that have no member with a
salaried job.
Caveats
Over half of savings accounts in one bank
Concerns about banking system stability
Concentration of bank accounts likely to pose
challenges to the deposit insurance system
Jury is still out on sustainability of Equity
strategy. Also Replicability?
Equity Bank expanding into other African
countries: the bright and the dark for Kenya and
others