Abstract
The objective of this study is to determine whether a nonlinear relationship exists between competition and outreach, as well as, between competition and financial sustainability of Peruvian regulated microfinance institutions (MFIs) from 2003 to 2019. We consider three different competition measures reflecting market power, the geographical presence of MFIs, and market concentration. Our findings are as follows: Market concentration does not affect financial sustainability and outreach, whereas market power has a nonlinear U-shaped relationship with financial sustainability and depth of outreach and a negative linear relationship with outreach breadth. Furthermore, the geographic presence of MFIs has a nonlinear U-shaped relationship with financial sustainability and depth of outreach, while it has a nonlinear inverted U-shaped relationship with outreach breadth. These findings reveal differentiated effects of competition on the performance of MFIs that depend on the level of their market power and their geographic presence in the market. Given the high market power and low geographic presence, on average, of Peruvian MFIs, we find that competition negatively affects their financial sustainability and positively affects their outreach. This study brings to the debate on the effects of competition on MFI performance a new interpretation of these effects based on empirical evidence that reconciles previous empirical results.
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The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
Notes
There are non-governmental organizations (NGOs) with microcredit programs and cooperatives specializing in microfinance, which are also part of the Peruvian microfinance system. While NGOs are unregulated entities, cooperatives are in the process of being incorporated into supervision and regulation. The most important of both types of entities voluntarily report their financial information to the MIX Market database. According to this information, in 2019, these institutions were responsible for 6% of all the microcredit granted by the Peruvian microfinance system. Given their reduced participation in the national supply of microcredit, our analysis incorporates regulated MFIs only.
Resolution SBS 1276–2002, which approved the regulations for the entry of MFIs into the Lima market.
See SBS (2003).
Legislative Decree 1028/2008, which amends Article 290 of Law 28,677, General Law of the Financial System and the Insurance System and Organic Law on the Superintendency of Banking, Insurance, and Private Pension Fund Administrators.
Inefficiencies in a firm’s operations prevent it from maximizing profits and/or minimizing costs.
For Al-Azzam and Parmeter (2021), the higher this percentage, the less competition because the expansion of the number of MFI branches increases market concentration. We consider this interpretation to be inadequate because competition drives MFIs to expand their branch networks.
In increasingly concentrated markets, firms can engage in collusive conduct and possess the capacity to establish a price above their marginal cost (Leon 2014).
An alternative interpretation of the relationship between competition and concentration is provided by Philippon (2019), according to whom, in industries with efficient and high-productivity firms, it is possible to observe high levels of competition in conjunction with high market concentration; that is, higher market concentration leads to higher competition. However, evidence shows that concentration and average market power have increased in the regulated microfinance industry in Peru (Aguilar and Portilla 2020; Huayta et al. 2017). Similarly, there has been no major technological change in this industry that would improve its efficiency (Aguilar and Portilla 2019). Therefore, it is more appropriate to consider that the relationship between competition and concentration is negative in an analysis of the Peruvian microfinance sector.
There are other non-parametric approaches to estimate the firm’s inefficiency. However, the main disadvantage of non-parametric approaches, such as data envelopment analysis (DEA), is that they attribute any deviation from the best performance to inefficiency and do not consider other factors, such as idiosyncratic shocks or measurement errors. On the other hand, the major disadvantage of SFA is that imposes a functional form (Khalily et al. 2014). Considering both arguments, we use SFA. Finally, for a detailed presentation on the topic of SFA, see Kumbhakar and Lovell (2003).
We estimate an alternative profit frontier that, unlike the standard one, considers that financial intermediation institutions (in this case, MFIs) do not act in a perfectly competitive market and, thus, the price of their product is not given; rather, it can be established through product fixing. Therefore, we include the product and the price of inputs as exogenous factors in the profit frontier (Berger and Mester 1997; Humphrey and Pulley 1997). Under this assumption, we use profits as an endogenous variable and the same set of explanatory variables as in the case of the cost frontier.
In this study, we follow the intermediation approach of Benston et al. (1982), according to which financial intermediaries produce loans from a combination of the following inputs: loanable funds, labor, and physical infrastructure. The production of loans is measured by the monetary value of the loans offered, while the total costs include both operating and financial costs. We must mention that in the particular case of MFIs, given the greater risk to which their loan portfolios are exposed due to the type of loans they grant (to highly unstable businesses and/or productive units), it is necessary to incorporate the cost derived from the risk of default into the total cost.
The definition of the variables employed in the cost and profit frontiers are detailed in Table A1. Moreover, Table A2 presents the descriptive statistics for these variables. Finally, the estimates of the cost and profit frontiers are described in Tables A3 and A4, respectively.
In the case of negative profits, we use the following estimation: \({TP}_{AD}=(TP) (profit\, efficiency)\).
In addition, the U.S. Department of Justice and the Federal Trade Commission (2010) classify markets into three types according to HHI level. Unconcentrated markets: HHI below 1500; moderately concentrated markets: HHI between 1500 and 2500; highly concentrated markets: HHI above 2500.
OSS is the ratio of financial revenue to total cost (operating costs plus financial costs and provisions).
We use the following equation to rescale the variables:
$${f(x)}_{t}=\frac{(a-b)({x}_{t}-d)}{e-d}+b,$$where \(f(x)\) is the rescaled variable, a is the maximum value of the new scale, b is the minimum value of the new scale, e is the maximum value of the original variable, d is the minimum value of the original variable, and xt is the variable to be rescaled.
Instrumental variable (IV) estimator with fixed effects using the generalized method of moments (GMM).
Our results are robust to the use of a higher or lower lag. Moreover, we employed the Newey–West standard errors to correct for the presence of heteroscedasticity and autocorrelation.
The financial documents published by the SBS include the following: Balance Sheet, Income Statement, Financial Indicators, Distribution of Offices by Geographic Area, Staff by Job Category, and Number of Borrowers with Direct Credit.
At the beginning, we had data for 44 MFIs: 13 CMACs, two banks specializing in microfinance, 13 CRACs, and 14 EDPYMEs. However, we excluded those entities that were taken over at an early stage because they provided only a small number of observations and represented less than 3% of total loans in the Peruvian microfinance market. This left a panel with 37 MFIs.
See the section ''Peruvian regulated microfinance industry''.
See footnote 20.
References
Agoraki M, Delis M, Pasiouras F (2011) Regulations, competition and bank risk-taking transition countries. J Financ Stab 7(1):38–48
Aguilar G, Portilla J (2019) Technical change in the Peruvian regulated microfinance sector. Lat Am Bus Rev 20(1):5–35
Aguilar G, Portilla J (2020) Determinants of market power in the Peruvian regulated microfinance sector. J Ind Compet Trade 20:657–688. https://doi.org/10.1007/s10842-019-00318-z
Al-Azzam M, Parmeter C (2021) Competition and microcredit interest rates: international evidence. Empir Econ 60(2):829–868. https://doi.org/10.1007/s00181-019-01766-6
Ariss RT (2010) On the implications of market power in banking: evidence from developing countries. J Bank Financ 34(4):765–775. https://doi.org/10.1016/j.jbankfin.2009.09.004
Assefa E, Hermes N, Meesters A (2013) Competition and the performance of microfinance institutions. Appl Financ Econ 23(9):767–782. https://doi.org/10.1080/09603107.2012.754541
Aubert C, De Janvry A, Sadoulet E (2009) Designing credit agent incentives to prevent mission drift in pro-poor microfinance institutions. J Dev Econ 90(1):153–162
Baquero G, Hamadi M, Heinen A (2018) Competition, loan rates, and information dispersion in nonprofit and for-profit microcredit markets. J Money, Credit, Bank 50(5):893–937. https://doi.org/10.1111/jmcb.12472
Bassem BS (2012) Social and financial performance of microfinance institutions: Is there a trade-off? J Econ Int Financ 4(4):92–100. https://doi.org/10.5897/JEIF11.129
Benston G, Hanweck G, Humphrey D (1982) Scale economies in banking: a restructuring and reassessment. J Money, Credit, Bank 14(4):435–456. https://doi.org/10.2307/1991654
Berger A, Mester L (1997) Inside the black box: what explains differences in the efficiencies of financial institutions? J Bank Finance 21(7):895–947. https://doi.org/10.1016/S0378-4266(97)00010-1
Berger AN, Klapper LF, Turk-Ariss R (2009) Bank competition and financial stability. J Financ Serv Res 35:99–118. https://doi.org/10.1007/s10693-008-0050-7
Boyd J, De Nicolo G (2005) The theory of bank risk taking and competition revisited. J Financ 60(3):1329–1343
Boyd J, De Nicolo G, Jalal AM (2006) Bank risk taking and competition revisited: New theory and evidence. IMF Working paper, WP/06/297
Chakravarty S, Pylypiv MI (2015) The role of subsidization and organizational status on microfinance borrower repayment rates. World Dev 66:737–748
Churchill SA (2019) Microfinance financial sustainability and outreach: is there a trade-off? Empir Econ 59(3):1–22. https://doi.org/10.1007/s00181-019-01709-1
Cull R, Demirgüç-Kunt A, Morduch J (2011) Does regulatory supervision curtail microfinance profitability and outreach? World Dev 39(6):949–965. https://doi.org/10.1016/j.worlddev.2009.10.016
Cull R, Demirgüç-Kunt A, Morduch J (2014) Banks and microbanks. J Financ Serv Res 46(1):1–53. https://doi.org/10.1007/s10693-013-0177-z
Fu X, Lin Y, Molyneux P (2014) Bank competition and financial stability in Asia Pacific. J Bank Financ 38:64–77
Greene W (2005) Fixed and random effects in stochastic frontier models. J Prod Anal 23(1):7–32. https://doi.org/10.1007/s11123-004-8545-1
Guha B, Chowdhury PR (2013) Micro-finance competition: motivated micro-lenders, double-dipping and default. J Dev Econ 105:86–102. https://doi.org/10.1016/j.jdeveco.2013.07.006
Halouani N, Boujelbène Y (2015) External governance and dual mission in the African MFIs. Strateg Chang 24(3):243–265. https://doi.org/10.1002/jsc.2007
Hartarska V, Nadolnyak D (2007) Do regulated microfinance institutions achieve better sustainability and outreach? Cross-country evidence. Appl Econ 39(10):1207–1222. https://doi.org/10.1080/00036840500461840
Hermes N, Lensink R (2011) Microfinance: its impact, outreach, and sustainability. World Dev 39(6):875–881. https://doi.org/10.1016/j.worlddev.2009.10.021
Hossain S, Galbreath J, Hasan MM, Randøy T (2020) Does competition enhance the double-bottom-line performance of microfinance institutions? J Bank Financ. https://doi.org/10.1016/j.jbankfin.2020.105765
Huayta K, Garcia A, Sotomayor N (2017) Análisis de la competencia que enfrentan las instituciones microfinancieras peruanas y el impacto sobre su estabilidad financiera. Documento de Trabajo, 2, SBS
Humphrey D, Pulley L (1997) Banks’ responses to deregulation: profits, technology, and efficiency. J Money, Credit, Bank 29(1):73–93. https://doi.org/10.2307/2953687
Kar A, Swain R (2014) Competition in microfinance: does it affect performance, portfolio quality, and capitalization. In: Mersland R, Strøm RØ (eds) Microfinance institutions. Palgrave Macmillan, London, England, pp 208–226
Kar A, Swain R (2018) Competition, performance and portfolio quality in microfinance markets. Eur J Dev Res 30(5):842–870. https://doi.org/10.1057/s41287-018-0135-6
Keeley M (1990) Deposit insurance, risk and market power in banking. Am Econ Rev 8:1183–1200
Kendo S, Tchakounte J (2022) Impact of asset size on performance and outreach using panel quantile regression with non-additive fixed effects. Empir Econ 62(1):65–92
Kennedy P (2008) A guide to econometrics. Wiley
Khalily MB, Khaleque MA, Badruddoza S (2014) Impact of regulation on the cost efficiency of microfinance institutions in Bangladesh. Palgrave Macmillan, UK, pp 139–161
Koetter M, Kolari JW, Spierdijk L (2012) Enjoying the quiet life under deregulation? Evidence from adjusted Lerner indices for US banks. Rev Econ Stat 94(2):462–480. https://doi.org/10.1162/REST_a_00155
Kumbhakar S, Lovell C (2003) Stochastic frontier analysis. Cambridge University Press, Cambridge, England
Lerner A (1934) The concept of monopoly and the measurement of monopoly power. Rev Econ Stud 1(3):157–175. https://doi.org/10.2307/2967480
Leon F (2014) Measuring competition in banking: a critical review of methods
Mader P, Morvant-Roux S (2019) Financial inclusion and microfinance. Handbook of social policy and development. Edward Elgar Publishing, pp 411–430. https://doi.org/10.4337/9781785368431.00030
McIntosh C, Wydick B (2005) Competition and microfinance. J Dev Econ 78(2):271–298. https://doi.org/10.1016/j.jdeveco.2004.11.008
McIntosh C, De Janvry A, Sadoulet E (2005) How rising competition among microfinance institutions affects incumbent lenders. Econ J 115(506):987–1004. https://doi.org/10.1111/j.1468-0297.2005.01028.x
Nguyen T, Nghiem H, Roca E, Sharma P (2016) Efficiency, innovation and competition: evidence from Vietnam, China and India. Empir Econ 51(3):1235–1259
Nurmakhanova M, Kretzschmar G, Fedhila H (2015) Trade-off between financial sustainability and outreach of microfinance institutions. Eurasian Econ Rev 5(2):231–250. https://doi.org/10.1007/s40822-015-0016-7
Olivares-Polanco F (2005) Commercializing microfinance and deepening outreach? Empirical evidence from Latin America. J Microfinance 7(2):47–69
Philippon T (2019) The economics and politics of market concentration. NBER Rep 4:10–12
Quayes S (2012) Depth of outreach and financial sustainability of microfinance institutions. Appl Econ 44(26):3421–3433. https://doi.org/10.1080/00036846.2011.577016
Restrepo-Tobón D, Kumbhakar S (2014) Enjoying the quiet life under deregulation? Not quite. J Appl Economet 29(2):333–343. https://doi.org/10.1002/jae.2374
Robinson M (2001) The microfinance revolution: sustainable finance for the poor. World Bank Publications
Ruisanchez J (2020) Latin America and the Caribbean: the journey, the gap, and a vision of the new microfinance revolution. In: Lieberman IW, DiLeo P, Watkins TA, Kanze A (eds) The future of microfinance. Brookings Institution Press, pp 9–38
Sabin N (2015) Microfinance: a field in flux. In: Nicholls A, Paton R, Emerson J (eds) Social finance. Oxford University Press
SBS (2003) Memoria anual 2002. Superintendencia de Bancos, Seguros y Administradoras de Fondos de Pensiones, Lima
Schreiner M (2002) Aspects of outreach: a framework for discussion of the social benefits of microfinance. J Int Dev 14:591–603. https://doi.org/10.1002/jid.908
Subramaniam Y, Masron TA, Wahab MA, Mia MA (2021) The impact of microfinance on poverty and income inequality in developing countries. Asian-Pacific Econ Lit 35(1):36–48
US Department of Justice and the Federal Trade Commission (2010) Horizontal merger guidelines. Report, Federal Trade Commission, Washington, DC
Vanroose A, D’Espallier B (2013) Do microfinance institutions accomplish their mission? Evidence from the relationship between traditional financial sector development and microfinance institutions’ outreach and performance. Appl Econ 45(15):1965–1982. https://doi.org/10.1080/00036846.2011.641932
Watkins TA (2018) Introduction to microfinance. World Scientific Publishing Company. https://doi.org/10.1142/10054
Watkins TA (2020) Microfinance industry concentration and the role of large-scale and profitable MFIs. In: Lieberman IW, DiLeo P, Watkins TA, Kanze A (eds) The future of microfinance. Brookings Institution Press, pp 77–102
Wondirad HA (2020) Competition and microfinance institutions’ performance: evidence from India. Int J Corp Soc Responsib 5(1):1–19. https://doi.org/10.1186/s40991-020-00047-1
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We would like to acknowledge the financial support provided by the Pontificia Universidad Católica del Perú to carry out this research.
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Aguilar, G., Portilla, J. The nonlinearity of the relationship between competition and the dual performance of regulated microfinance institutions in Peru. SN Bus Econ 3, 128 (2023). https://doi.org/10.1007/s43546-023-00506-4
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DOI: https://doi.org/10.1007/s43546-023-00506-4