Abstract
Does improved access to financial sources increase entrepreneurship across gender? We explore this question in the Indian context, by constructing a novel measure of financial access defined as the distance of each unbanked village to the nearest banked centre. Using economic census data at the village level, we find that the proximity of an unbanked village to a banked centre within 5 km increases entrepreneurship in the non-agricultural sector. While exploring the mechanisms, we find that the impact on women is driven by the uptake of institutional credit. The prevailing norms around gender influence the gains from bank proximity as the impact on women enterprises occurs mainly in villages which have liberal social norms. Results hold when we use the number of branches within 5 km as an alternate measure of financial access. Results are robust to several additional tests. Our results show that the lack of nearby banking facilities represents a key constraint for women, and hence, widespread banking outreach can boost female entrepreneurship in rural areas.
Plain English Summary
Close proximity to banks increases entrepreneurship among women in the non-agricultural sector by strengthening their formal credit uptake. Women are under-represented in entrepreneurial activities in several countries. A prominent reason for this could be the difficulty they face in accessing formal finance. Lack of credit often restricts women from entering more productive sectors of the economy, particularly in traditional societies like India, where women are restricted from venturing too far from their residences. In such cases, a proximate bank branch within a female entrepreneur’s neighbourhood should be beneficial. We show that the women-owned non-agricultural enterprises increase in a village when a new bank branch opens within 5 km of the village. The proximity to a branch improves accessibility, which further leads to credit uptake by women entrepreneurs. Thus, credit plays an important role for women entrepreneurship. Men-owned enterprises, on the other hand, move out of agriculture and enter the non-agricultural sector. These results show the structural transformational potential of the financial development in rural India. Our findings indicate that it is advisable for policymakers to expand financial access, particularly for women, to ensure women’s economic emancipation alongside the structural transformation of the rural economy of India.
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Data Availability
The data is available on request.
Notes
See, Pradhan Mantri Gram Sadak Yojana (PMGSY) at Pradhan Mantri Gram Sadak Yojana (myscheme.gov.in).
See, Rajiv Gandhi Grameen Vidyutikaran Yojana (RGGVY) at Committee Reports (prsindia.org).
IFC reported a large unmet financing gap in the Micro, Small and Medium Enterprise (MSME) sector across the world, particularly in the developing world. Nearly 21 percent of micro enterprises world-wide are fully financially constrained, and 19 percent are partially constrained. For SMEs, these figures stand at 30 and 14 percent, respectively. This problem was observed to be highest for the South Asia region, where 56 percent of micro enterprises (highest) and 50 percent of SMEs (second highest) were either fully or partially financially constrained.
The sectors not covered in EC are the following: in the case of agricultural activity, establishments classified under 011 and 012 of Section A of NIC 2008; in the case of non-agricultural activity, establishments engaged in Section O of NIC 2008 (public administration, defence, compulsory social security), Section T of NIC 2008 (territorial organization and bodies) and Section R of NIC 2008 (illegal gambling and betting activities).
Several measures have been used in the literature as a proxy of access to banks/finance. The first of these is the geographic and demographic penetration of bank branches, where the total number of bank branches is divided by either total area or total population (Alessandrini et al., 2010; Beck et al., 2007a, b, 2008; Zhao and Jones-Evans, 2017). Recent studies have used different measures such as straight-line distance and travel distance to the nearest bank branch or distance that users are willing and able to travel for the service (Koomson et al., 2020; Langford et al., 2021; Camacho et al., 2021).
The spatial data we use are the GIS shape files, which provide us with the location of each village—specifically, the latitude and longitude of the boundary of each village. These data are obtained from the research team at the World Bank. These GIS shape files are compatible with Population Census 2011.
The spatial data for Arunachal Pradesh were not available, so that state is not included in the analysis.
A total of 274,009 unbanked villages had a bank branch within 5 km prior to the treatment period (2005). As these villages were already proximate, their characteristics are not comparable to the distant villages. Additionally, we do not observe a sizeable change in distance for these villages. Therefore, we exclude them from our analysis.
The literature shows that socio-economic factors—such as size and density of population, level of education, the share of urban population, size of the profitable market, growth rate, unemployment rate, and level of economic activity—are significant drivers of bank branch availability.
Other proxies include withdrawing women from school at menarche (Field and Ambrus, 2008; Khanna, 2021), low desired levels of education for women (Maertens, 2013), historical transition of societies from hunter-gatherer to agricultural (Hansen et al., 2015), living in joint families (Dhanaraj & Mahambare, 2018) and other restrictions on women’s movement away from the house (Dean & Jayachandran, 2019) and women’s use of mobile phones (Scott et al., 2021).
We conduct another test wherein we choose the control group using PSM. Results are presented in Table 14 (Appendix). Our results remain robust.
References
Abadie, A., Athey, S., Imbens, G. W., & Wooldridge, J. M. (2023). When should you adjust standard errors for clustering? The Quarterly Journal of Economics, 138(1), 1–35. https://doi.org/10.1093/qje/qjac038
Agarwal, S., & Hauswald, R. (2010). Distance and private information in lending. The Review of Financial Studies, 23(7), 2757–2788. https://doi.org/10.1093/rfs/hhq001
Alamá, L., & Tortosa-Ausina, E. (2012). Bank branch geographic location patterns in S pain: Some implications for financial exclusion. Growth and Change, 43(3), 505–543. https://doi.org/10.1111/j.1468-2257.2012.00596.x
Alesina, A., Giuliano, P., & Nunn, N. (2013). On the origins of gender roles: Women and the plough. Quarterly Journal of Economics, 128, 469–530. https://doi.org/10.1093/qje/qjt005
Alessandrini, P., Presbitero, A. F., & Zazzaro, A. (2010). Bank size or distance: What hampers innovation adoption by SMEs? Journal of Economic Geography, 10(6), 845–881. https://doi.org/10.1093/jeg/lbp055
Ansong, D., Chowa, G., & Adjabeng, B. K. (2015). Spatial analysis of the distribution and determinants of bank branch presence in Ghana. International Journal of Bank Marketing, 33(3), 201–222. https://doi.org/10.1108/IJBM-09-2013-0103
Aristei, D., & Gallo, M. (2016). Does gender matter for firms’ access to credit? Evidence from international data. Finance Research Letters, 18, 67–75. https://doi.org/10.1016/j.frl.2016.04.002
Asher, S., & Novosad, P. (2020). Rural roads and local economic development. American Economic Review, 110(3), 797–823. https://doi.org/10.1257/aer.20180268
Asher, S., Lunt, T., Matsuura, R., & Novosad, P. (2021). Development research at high geographic resolution: An analysis of night lights, firms, and poverty in India using the SHRUG open data platform. The World Bank Economic Review, 35(4), 845–871. https://doi.org/10.1093/wber/lhab003
Asiedu, E., Kalonda-Kanyama, I., Ndikumana, L., & Nti-Addae, A. (2013). Access to credit by firms in Sub-Saharan Africa: How relevant is gender? American Economic Review, 103(3), 293–297. https://doi.org/10.1257/aer.103.3.293
Aterido, R., Beck, T., & Iacovone, L. (2013). Access to finance in Sub-Saharan Africa: Is there a gender gap? World Development, 47(7), 102–120. https://doi.org/10.1016/j.worlddev.2013.02.013
Bailwal, N., & Paul, S. (2021). Caste discrimination in provision of public schools in rural India. Journal of Development Studies, 57(11), 1830–1851. https://doi.org/10.1080/00220388.2020.1862796
Banerjee, A., & Newman, A. F. (1993). Occupational choice and the process of development. Journal of Political Economy, 101(2), 274–298. https://doi.org/10.1086/261876
Bardasi, E., Sabarwal, S., & Terrell, K. (2011). How do female entrepreneurs perform? Evidence from three developing regions. Small Business Economics, 37(4), 417–441. https://doi.org/10.1007/s11187-011-9374-z
Basu, P. (2005). A financial system for India’s poor. Economic and Political Weekly, 40(37), 4008–4012. https://www.jstor.org/stable/4417132
Beck, T., Demirgüc-Kunt, A., & Levine, R. (2007a). Finance, inequality and the poor: Cross-country evidence. Journal of Economic Growth, 12(1), 27–49. https://doi.org/10.1007/s10887-007-9010-6
Beck, T., Demirgüc-Kunt, A., & Martinez Peria, M. S. (2007b). Reaching out: Access to and use of banking services across countries. Journal of Financial Economics, 85(1), 234–266. https://doi.org/10.1016/j.jfineco.2006.07.002
Beck, T., Demirgüc-Kunt, A., & Martinez Peria, M. S. (2008). Banking services for everyone? Barriers to bank access and use around the world. World Bank Economic Review, 22(3), 397–430. https://doi.org/10.1093/wber/lhn020
Bertay, A. C., Demirgüç-Kunt, A., & Huizinga, H. (2015). Bank ownership and credit over the business cycle: Is lending by state banks less procyclical? Journal of Banking & Finance, 50, 326–339. https://doi.org/10.1016/j.jbankfin.2014.03.012
Borker, G. (2018). Safety First: Perceived Risk of Street Harassment and Educational Choices of Women. Working paper, World Bank. http://hdl.handle.net/10986/36004. Accessed March 2021.
Brei, M., & Schclarek, A. (2013). Public bank lending in times of crisis. Journal of Financial Stability, 9, 820–830. https://doi.org/10.1016/j.jfs.2013.01.002
Bruhn, M., & Love, I. (2011). Gender differences in the impact of banking services: Evidence from Mexico. Small Business Economics, 37, 493–512. https://doi.org/10.1007/s11187-011-9377-9
Bruhn, M., & Love, I. (2014). The real impact of improved access to finance: Evidence from Mexico. The Journal of Finance, 69(3), 1347–1376. https://doi.org/10.1111/jofi.12091
Burgess, R., & Pande, R. (2005). Do rural banks matter? Evidence from the Indian social banking experiment. American Economic Review, 95(3), 780–795. https://doi.org/10.1257/0002828054201242
Burlig, F., & Preonas, L. (2021). Out of the darkness and into the light? Development Effects of the Rural Electrification, working paper – 268R, Energy Institute at Haas. Available at: WP268.pdf (berkeley.edu).
Camacho, J. A., et al. (2021). Financial accessibility in branchless municipalities: An analysis for Andalusia. European Planning Studies, 29(5), 883–898. https://doi.org/10.1080/09654313.2020.1804533
Cao, Z., & Shi, X. (2021). A systematic literature review of entrepreneurial ecosystems in advanced and emerging economies. Small Business Economics, 57, 75–110. https://doi.org/10.1007/s11187-020-00326-y
Chakraborty, T., Mukherjee, A., Rachapalli, S. R., & Saha, S. (2018). Stigma of sexual violence and women’s decision to work. World Development, 103, 226–238. https://doi.org/10.1016/j.worlddev.2017.10.031
Chaudhuri, K., Sasidharan, S., & Raj, R. S. N. (2020). Gender, small firm ownership, and credit access: Some insights from India. Small Business Economics, 54, 1165–1181. https://doi.org/10.1007/s11187-018-0124-3
Chen, Y. S., Chen, Y., Lin, C. Y., & Sharma, Z. (2016). Is there a bright side to government banks? Evidence from the global financial crisis. Journal of Financial Stability, 26, 128–143. https://doi.org/10.1016/j.jfs.2016.08.006
Coleman, S. (2002). Constraints faced by women small business owners: Evidence from the data. Journal of Developmental Entrepreneurship, 7(2), 151–174. https://www.proquest.com/scholarly-journals/constraints-faced-women-small-busines-owners/docview/208439042/se-2?accountid=10461.
Crocco, M., Santos, F., & Amaral, P. V. (2010). The spatial structure of financial development in Brazil. Spatial Economic Analysis, 5(2), 181–203. https://doi.org/10.1080/17421770903511973
Das, J., Daniels, B., Ashok, M., Shim, E.-Y., & Muralidharan, K. (2022). Two Indias: The structure of primary health care markets in rural Indian villages with implications for policy. Social Science & Medicine., 301, 112799. https://doi.org/10.1016/j.socscimed.2020.112799
Dean, J. T., & Jayachandran, S. (2019). Changing family attitudes to promote female employment. AEA Papers and Proceedings, 109, 138–142. https://doi.org/10.1257/pandp.20191074
Dekle, R., & Lee, M. (2015). Do foreign bank affiliates cut their lending more than the domestic banks in a financial crisis. Journal of International Money and Finance, 50, 16–32. https://doi.org/10.1016/j.jimonfin.2014.08.005
Delecourt, S., & Fitzpatrick, A. (2021). Childcare Matters: Female Business Owners and the Baby-Profit Gap. Management Science, 67(7), 4455–4474. https://doi.org/10.1287/mnsc.2021.3976
Demirgüç-Kunt, A., & Klapper, L. F. (2012). Measuring Financial Inclusion: The Global Findex Database. World Bank Policy Research Working Paper 6025. http://hdl.handle.net/10986/6042. Accessed March 2020.
Demirgüç-Kunt, A., Klapper, L., Singer, D., & Van Oudheusden, P. (2015). The Global Findex Database 2014: Measuring Financial Inclusion Around the World. World Bank Policy Research Working Paper, No. 7255, World Bank, Washington, DC. https://doi.org/10.1596/1813-9450-7255
Demirgüc-Kunt, A., Klapper, L., Singer, D., Ansar, S., & Hess, J. (2018). The Global Findex Database 2017: Measuring Financial Inclusion and The Fintech Revolution. World Bank Publications. World Bank. https://doi.org/10.1596/978-1-4648-1259-0
Devarajan, T. K. (2004). Service area approach and utilization of bank credit in Kerala–A case study of Kannur District. Centre for Development Studies. Discussion Paper 75. https://docslib.org/doc/8882603/service-area-approach-and-utilisation-of-bank-credit-in-kerala-a-case-study-of-kannur-district. Accessed March 2020.
Dhanaraj, S., & Mahambare, V. (2018). Family structure, education and women’s employment in rural India. World Development, 115, 17–29. https://doi.org/10.1016/j.worlddev.2018.11.004
Dutta, N., & Mallick, S. (2018). Enabling women entrepreneurs: Exploring factors that mitigate the negative impact of fertilityrates on female entrepreneurship. Kyklos, 71, 402–432. https://doi.org/10.1111/kykl.12175
Dutta, N., & Mallick, S. (2023). Gender and access to finance: Perceived constraints of majority-female-owned Indian firms. British Journal of Management (forthcoming). https://doi.org/10.1111/1467-8551.12623
Ergungor, O. E. (2010). Bank branch presence and access to credit in low-to moderate-income neighborhoods. Journal of Money, Credit and Banking, 42(7), 1321–1349. https://doi.org/10.1111/j.1538-4616.2010.00343.x
Fafchamps, M., & Schündeln, M. (2013). Local financial development and firm performance: Evidence from Morocco. Journal of Development Economics, 103, 5–28. https://doi.org/10.1016/j.jdeveco.2013.01.010
Fairlie, R. W., & Robb, A. M. (2009). Gender differences in business performance: Evidence from the characteristics of business owners survey. Small Business Economics, 33, 375–395. https://doi.org/10.1007/s11187-009-9207-5
Fernández-Olit, B., Ruza, C., de la Cuesta-González, M., & Matilla-Garcia, M. (2019). Banks and financial discrimination: What can be learnt from the Spanish experience? Journal of Consumer Policy, 42, 303–323. https://doi.org/10.1007/s10603-019-09412-5
Field, E., & Ambrus, A. (2008). Early marriage, age of menarche, and female schooling attainment in Bangladesh. Journal of Political Economy, 116(5), 881–930. https://doi.org/10.1086/593333
Field, E., Jayachandran, S., & Pande, R. (2010). Do traditional institutions constrain female entrepreneurship? A field experiment on business training in India. American Economic Review, 100, 125–129. https://doi.org/10.1257/aer.100.2.125
Gang, I. N., Natarajan, R. R., & Sen, K. (2022a). Finance, gender, and entrepreneurship: India’s informal sector firms. Journal of Development Studies, 58(7), 1383–1402. https://doi.org/10.1080/00220388.2022.2061855
Gang, I., Natarajan, R. R., Sen, K., & Yun, M. S. (2022b). Does the gender of the owner affect the productivity of enterprises in India’s informal economy?. Journal of Income Distribution, 31(3–4). https://doi.org/10.25071/1874-6322.40548
Garg, S., & Gupta, S. (2023). What influences village-level access to a bank branch? Evidence from India. International Journal of Bank Marketing, 41(4), 882–902. https://doi.org/10.1108/IJBM-08-2022-0360
Ghosh, S. (2012). Determinants of banking outreach: An empirical assessment of Indian States. The Journal of Developing Areas, 46(2), 269–295. https://doi.org/10.1353/jda.2012.0034
Ghosh, S., & Vinod, D. (2017). What constrains financial inclusion for women? Evidence from Indian micro data. World Development, 92, 60–81. https://doi.org/10.1016/j.worlddev.2016.11.011
Hainmueller, J. (2012). Entropy balancing for casual effects: A multivariate reweighting method to produce balanced samples in observational studies. Political Analysis, 20(1), 25–46. https://doi.org/10.1093/pan/mpr025
Hansen, C. W., Jensen, P. S., & Volmar, S. C. (2015). Modern gender roles and agricultural history: The Neolithic inheritance. Journal of Economic Growth, 20, 365–404. https://doi.org/10.1007/s10887-015-9119-y
Hegerty, S. W. (2016). Commercial bank locations and “Banking Deserts”: A statistical analysis of Milwaukee and Buffalo. Annals of Regional Science, 56, 253–271. https://doi.org/10.1007/s00168-015-0736-3
Ho, S. J., & Mallick, S. (2017). Does institutional linkage of Bank-MFI foster inclusive financial development even in the presence of MFI frauds? Scottish Journal of Political Economy, 64, 283–309. https://doi.org/10.1111/sjpe.12124
Iacus, S. M., King, G., & Porro, G. (2012). Causal inference without balance checking: Coarsened exact matching. Political analysis, 20(1), 1–24. https://doi.org/10.1093/pan/mpr013
Jayachandran, S. (2021). Social norms as barriers to women’s employment in developing countries. IMF Economic Review, 69, 576–595. https://doi.org/10.1057/s41308-021-00140-w
Kairiza, T., Kiprono, P., & Magadzire, V. (2017). Gender differences in financial inclusion amongst entrepreneurs in Zimbabwe. Small Business Economics, 48(1), 259–272. https://doi.org/10.1007/s11187-016-9773-2
Khanna, M. (2021). The precocious period: the impact of early menarche on schooling in India. Available at: https://ssrn.com/abstract=3419041. Accessed March 2022.
Kiefer, K., Heileman, M., & Pett, T. L. (2022). Does gender still matter? An examination of small business performance. Small Business Economics, 58, 141–167. https://doi.org/10.1007/s11187-020-00403-2
Kochar, A. (1997). An empirical investigation of rationing constraints in rural credit markets in India. Journal of Development Economics, 53(2), 339–371. https://doi.org/10.1016/S0304-3878(97)00020-5
Kochar, A. (2011). The distributive consequences of social banking: A micro empirical analysis of the Indian experience. Economic Development and Cultural Change., 59(2), 251–280. https://doi.org/10.1086/657122
Koomson, I., Villano, R. A., & Hadley, D. (2020). Effect of financial inclusion on poverty and vulnerability to poverty: Evidence using a multidimensional measure of financial inclusion. Social Indicators Research, 149, 613–639. https://doi.org/10.1007/s11205-019-02263-0
Kumar, A., Pal, R., & Pal, R. (2019). Usage of formal financial services in India: Demand barriers or supply constraints? Economic Modelling, 80, 244–259. https://doi.org/10.1016/j.econmod.2018.11.010
Langford, M., Higgs, G., & Jones, S. (2021). Understanding spatial variations in accessibility to banks using variable floating catchment area techniques. Applied Spatial Analysis and Policy, 14, 449–472. https://doi.org/10.1007/s12061-020-09347-2
Langowitz, N., & Minniti, M. (2007). The entrepreneurial propensity of women. Entrepreneurship, Theory and Practice, 31(3), 341–365. https://doi.org/10.1111/j.1540-6520.2007.00177.x
Maertens, A. (2013). Social norms and aspirations: Age of marriage and education in rural India. World Development, 47, 1–15. https://doi.org/10.1016/j.worlddev.2013.01.027
Maudos, J. (2017). Bank restructuring and access to financial services: The Spanish case. Growth and Change, 48(4), 963–990. https://doi.org/10.1111/grow.12211
Menon, N., & Rodgers, Y. M. (2011). How access to credit affects self-employment: Differences by gender during India’s rural banking reform. The Journal of Development Studies, 47(1), 48–69. https://doi.org/10.1080/00220381003706486
Micco, A., & Panizza, U. (2006). Bank ownership and lending behaviour. Economic Letters, 93(2), 248–254. https://doi.org/10.1016/j.econlet.2006.05.009
Mitra, A. (2014). Son preference in India: Implications for gender development. Journal of Economic Issues, 48(4), 1021–1037. https://doi.org/10.2753/JEI0021-3624480408
Morrisson, C., & Jütting, J. P. (2005). Women’s discrimination in developing countries: A new data set for better policies. World Development, 33(7), 1065–1081. https://doi.org/10.1016/j.worlddev.2005.04.002
Motta, V. (2020). Lack of access to external finance and SME labor productivity: Does project quality matter? Small Business Economics, 54, 119–134. https://doi.org/10.1007/s11187-018-0082-9
Muravyev, A., Talavera, O., & Schäfer, D. (2009). Entrepreneurs’ gender and financial constraints: Evidence from international data. Journal of Comparative Economics, 37(2), 270–286. https://doi.org/10.1016/j.jce.2008.12.001
Nguyen, H. Q. (2019). Are credit markets still local? Evidence from bank branch closings. American Economic Journal: Applied Economics, 11(1), 1–32. https://doi.org/10.1257/app.20170543
Ongena, S., & Popov, A. (2016). Gender bias and credit access. Journal of Money, Credit and Banking, 48(8), 1691–1724. https://doi.org/10.1111/jmcb.12361
Oppedal Berge, L. I., & Garcia Pires, A. J. (2020). Gender, formality, and entrepreneurial success. Small Business Economics, 55, 881–900. https://doi.org/10.1007/s11187-019-00163-8
Panda, S. (2018). Constraints faced by women entrepreneurs in developing countries: Review and ranking. Gender in Management, 33(4), 315–331. https://doi.org/10.1108/GM-01-2017-0003
Paulson, A. L., & Townsend, R. (2004). Entrepreneurship and financial constraints in Thailand. Journal of Corporate Finance, 10(2), 229–262. https://doi.org/10.1016/S0929-1199(03)00056-7
Petersen, M. A., & Rajan, R. G. (1994). The benefits of lending relationships: Evidence from small business data. The Journal of Finance, 49(1), 3–37. https://doi.org/10.1111/j.1540-6261.1994.tb04418.x
Petersen, M. A., & Rajan, R. G. (2002). Does distance still matter? The information revolution in small business lending. The Journal of Finance, 57(6), 2533–2570. https://doi.org/10.1111/1540-6261.00505
Picard, R. (2010). GEONEAR: Stata module to find nearest neighbors using geodetic distances. Statistical Software Components S457146. Boston College Department of Economics, Revised 22February 2012.
Presbitero, A. F., Rabellotti, R., & Piras, C. (2014). Barking up the wrong tree? Measuring gender gaps in firm’s access to finance. The Journal of Development Studies, 50(10), 1430–1444. https://doi.org/10.1080/00220388.2014.940914
Qi, S., Ongena, S., & Cheng, H. (2022). Working with women, do men get all the credit? Small Business Economics, 59, 1427–1447. https://doi.org/10.1007/s11187-021-00579-1
Qin, N., & Kong, D. (2022). Access to credit and entrepreneurship: Evidence from China. Economic Development and Cultural Change, 71(1), 295–331. https://doi.org/10.1086/714440
Raghuvanshi, J., Agrawal, R., & Ghosh, P. K. (2017). Analysis of barriers to women entrepreneurship: The DEMATEL approach. The Journal of Entrepreneurship, 26(2), 220–238. https://doi.org/10.1177/0971355717708848
Rajan, R., & Zingales, L. (1998). Financial dependence and growth. American Economic Review, 88(3), 559–586. http://www.jstor.org/stable/116849
RBI Circular. (2004). Relaxation in Service Area Norms. https://rbi.org.in/Scripts/BS_CircularIndexDisplay.aspx?Id=2044. Accessed March 2020.
RBI. (2019). National Strategy for Financial Inclusion 2019–2024. Reserve Bank of India. https://rbidocs.rbi.org.in/rdocs/content/pdfs/NSFIREPORT100119.pdf. Accessed March 2020.
Reserve Bank of India. (1970). Annual Report on the Working of the RBI and Trend and Progress of Banking in India for the year ended June 30, 1970. Accessed March 2020.
Reserve Bank of India. (2005). Liberalized Branch Authorization Policy. https://www.rbi.org.in/scripts/NotificationUser.aspx?Id=2503&Mode=0. Accessed March 2020.
Scott, K., Shinde, A., Ummer, O., Yadav, S., Sharma, M., Purty, N., Jairath, A., Chamberlain, S., & LeFevre, A. E. (2021). Freedom within a cage: how patriarchal gender norms limit women’s use of mobile phones in rural central India. BMJ Global Health, 6(Suppl 5), e005596. https://doi.org/10.1136/bmjgh-2021-005596
Siddique, Z. (2022). Media-reported violence and female labor supply. Economic Development and Cultural Change, 70(4), 1337–1365. https://doi.org/10.1086/714009
Smith, J. A., & Todd, P. (2005). Does matching overcome Lalonde’s critique of non-experimental estimators? Journal of Econometrics, 125(1–2), 305–353. https://doi.org/10.1016/j.jeconom.2004.04.011
Srinivas, V., & Wadhwani, R. (2019). Recognising the Value of Bank Branches in a Digital World, Findings from the Global Digital Banking Survey. Deloitte Insights, Deloitte Center for Financial Services Available at: DI_Bankbranches-digital-world.pdf (deloitte.com). Accessed March 2021.
Wing, C., Simon, K., & Bello-Gomez, R. A. (2018). Designing difference in difference studies: Best practices for public health policy research. Annual Review of Public Health, 39(1), 453–469. https://doi.org/10.1146/annurev-publhealth-040617-013507
Young, N. (2019). Banking and growth: Evidence from a regression discontinuity analysis. EBRD Working Paper. https://www.ebrd.com/publications/working-papers/banking-and-growth. Accessed April 2020.
Zhang, Q., Arora, R., & Colombage, S. (2021). The determinants of bank branch location in India: An empirical investigation. International Journal of Bank Marketing, 39(5), 856–870. https://doi.org/10.1108/IJBM-07-2020-0395
Zhao, T., & Jones-Evans, D. (2017). SMEs, banks and the spatial differentiation of access to finance. Journal of Economic Geography, 17(4), 791–824. https://doi.org/10.1093/jeg/lbw029
Acknowledgements
The authors would like to thank the editor of this journal and two anonymous reviewers for their very constructive comments and suggestions. We also thank World Bank for providing us with Indian village-level shape files. We also appreciate the feedback from Sanjukta Das (NCAER), Sam Asher (John Hopkins University), Paul Novosad (Dartmouth College). We also thank seminar participants and discussants at the NCAER, the Institute of Economic Growth, the Delhi Winter School 2020; the STEG Annual Conference 2021; the South Asian Economic Development Conference 2021; 3rd Annual Conference on ‘Women in the Economy’, IWWAGE, ISI, New Delhi; the 3rd Annual Indian Public Policy Network Annual Conference, Indian School of Business, March 2021; the Annual conference of Development Studies Association (DSA) 2021; the Xavier School of Economics, Bhubaneshwar; ISB-NBER conference 2022; Annual Conference on Growth and Development at ISI Delhi, 2022; University of Manchester 2023; and the STEG/PSDRN workshop London 2023 for their feedback. An earlier version of this paper was circulated under the title “Impact of Financial Access on Gender Gap in Entrepreneurship and Financial Inclusion: Evidence from India”.
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Appendix
Appendix
In this appendix, we provide additional robustness tests.
1.1 Assessment using propensity scores for matching treatment and control group
We have shown robustness of results using a matched control group, where the matching was performed using Coarsened Exact Matching process (Iacus et al., 2012). To demonstrated robustness of that result, we use propensity score matching method as an alternative matching process. Under this method, we estimate the propensity of treatment for each village. The matched control group is then obtained by comparing the propensities of control group villages against treatment group villages.
Table 14 shows the results for our main specification but with the control group limited to the villages matched with the Treatment villages. Here as well, our main results remain robust. Female non-agricultural entrepreneurship increases while male-owned enterprises increase in non-agricultural sector and decreasing in the agricultural sector.
In Table 15, we provide the covariate balance t-test from the propensity score matching. The two groups are balanced across most covariates. We find a higher proportion of the matched control group with road. However, that only shows the direction of bias is against our main effects.
Figures 4, 5 and 6 plot the distribution of the continuous covariates—distance to town, population and literacy rate, respectively—for the treated and matched control groups.
1.2 Assessment using entropy balancing for matching treatment and control group
Further, we conduct another robustness check on our baseline results. We use entropy balancing techniques to match the treatment group with the control group as proposed by Hainmueller (2012). Table 16 shows the results. Here as well, our main results remain robust. Both female and male owned enterprises increase in the non-agricultural sector.
1.3 Impact on male and female employment
Our results suggest that the improved proximity to financial services increases entrepreneurship through flow of credit. We further study the impact on gender-wise employment. The EC data provides size of employment of each enterprise. We use that information to measure the impact on gender-wise employment in enterprises. Employment indicators should also be influenced by improved entrepreneurship since the Indian rural economy is labour intensive.
Tables 17 shows the effects on labour markets by sector and gender of workers. Total number of female workers increases by a magnitude of 0.908 (column 1). While it declines in agricultural enterprises by 0.417 (column 2), a more than compensating increase of 1.258 occurs in the non-agricultural enterprises (column 3).
Similarly, we observe that, male workforce declines by -0.698 in the agricultural sector (column 5) and increases by 1.647 in the non-agricultural enterprises (column 6). Thus, labour market results reaffirm the evidence on structural transformation (Table 17).
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Garg, S., Gupta, S. & Mallick, S. Financial Access and Entrepreneurship by Gender: Evidence from Rural India. Small Bus Econ (2024). https://doi.org/10.1007/s11187-024-00925-z
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DOI: https://doi.org/10.1007/s11187-024-00925-z