Abstract
This paper evaluates the effects of a voluntary registration policy with government authorities on financial performance of urban microenterprises in the Indian manufacturing sector. Using data from the 2006 World Bank survey of Indian microenterprises and applying the semi-parametric propensity score matching technique, we find that being registered leads to significant gains in sales per employee and value added per employee. Large gains are also noted for male-owned firms, those operating with or without paid labor and those operating outside of the owner’s home.
Similar content being viewed by others
Notes
A detailed discussion of the evolution of the small-scale industries sector in India can be found in Little et al. (1987).
We use the exchange rate of USD 1 = Rs. 50 for the entire analysis.
This classification has been in place since the enactment of the Micro, Small and Medium Enterprises Development Act (MSMED), 2006. Prior to this, manufacturing enterprises were defined as either micro or small on the basis of investment in plant and machinery. The classification was as follows: enterprises with investment of up to Rs. 2.5 million were classified as micro; and enterprises with investment between Rs. 2.5 million and Rs. 10 million were classified as small. In addition to this, the Industrial Policy Resolution of 1977 defined a ‘tiny’ sector as one with investment in machinery and equipment up to Rs. 0.1 million and situated in towns with a population of less than 50,000 according to 1971 census, and in villages.
Coad and Tamvada (2012) use the 2002–2003 all-India census of registered small-scale industries to explore determinants of firm growth and various types of barriers faced by small enterprises.
The detailed sampling methodology is available in Ferrari and Dhingra (2009).
References
Abadie, A., Drukker, D., Herr, J. L., & Imbens, G. W. (2004). Implementing matching estimators for average treatment effects in Stata. The Stata Journal, 4(3), 290–311.
Abadie, A., & Imbens, G.W. (2002). Simple and bias-corrected matching estimators for average treatment effects. NBER technical working paper No. 283.
Becker, S. O., & Ichino, A. (2002). Estimation of average treatment effects based on propensity scores. The Stata Journal, 2(4), 358–377.
Caliendo, M., & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys, 22(1), 31–72.
Coad, A., & Tamvada, J. P. (2012). Firm growth and barriers to growth among small firms in India. Small Business Economics, 39(2), 383–400.
Daniels, L. (1999). The role of small enterprises in the household and national economy in Kenya: A significant contribution or a last resort? World Development, 27(1), 55–65.
De Mel, S., McKenzie, D. & Woodruff, C. (2011). What is the cost of formality? Experimentally estimating the demand for formalization. Mimeo.
De Soto, H. (1989). The other path. New York: Harper and Row Publishers.
de Vries, G. (2010). Small retailers in Brazil: Are formal firms really more productive? Journal of Development Studies, 46(8), 1345–1366.
Dehejia, R. H., & Wahba, S. (1999). Causal effects in nonexperimental studies: Reevaluating the evaluation of training programs. Journal of the American Statistical Association, 94(448), 1052–1062.
Djankov, S., La Porta, R., Lopez-de-Silanes, F., & Shleifer, A. (2002). The regulation of entry. Quarterly Journal of Economics, 117, 1–37.
Enterprise Surveys. The World Bank. www.enterprisesurveys.org. Accessed 15 June 2011.
Fajnzylber, P., Maloney, W., & Montes-Rojas, G. V. (2009). Releasing constraints to growth or pushing on a string? Policies and performance of Mexican micro-firms. Journal of Development Studies, 45(7), 1027–1047.
Fajnzylber, P., Maloney, W., & Montes-Rojas, G. V. (2011). Does formality improve micro-firm performance? Evidence from the Brazilian SIMPLES program. Journal of Development Economics, 94(2), 262–276.
Ferrari, A., & Dhingra, I. S. (2009). India’s investment climate: Voices of Indian business. Washington: World Bank Publications.
Heckman, J. J., Ichimura, H., Smith, J., & Todd, P. (1998). Characterizing selection bias using experimental data. Econometrica, 66(5), 1017–1098.
Heckman, J. J., Ichimura, H., & Todd, P. (1997). Matching as an econometric evaluation estimator: Evidence from evaluating a job training programs. Review of Economic Studies, 64(4), 605–654.
Leuven, E. & Sianesi, B. (2003). PSMATCH2: STATA Module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. Retrieved June 10, 2011 from http://ideas.repec.org/c/boc/bocode/s432001.html.
Liedholm, C., & Mead, D. (1998). The dynamics of micro and small enterprises in developing countries. World Development, 26(1), 61–74.
Little, I. M., Mazumdar, D., & Page, J. M. (1987). Small manufacturing enterprises: A comparative analysis of India and other economies. New York: Oxford University Press.
McKenzie, D. (2010). Dimensions of informality in Bangladesh. Mimeo, World Bank.
McKenzie, D., & Sakho, Y. S. (2010). Does it pay firms to register for taxes? The impact of formality on firm profitability. Journal of Development Economics, 91, 15–24.
McPherson, M. A., & Liedholm, C. (1996). Determinants of small and micro enterprise registration: Results from surveys in Niger and Swaziland. World Development, 24(3), 481–487.
Ministry of Micro, Small and Medium Enterprises. (2009). Quick results of fourth all India census of micro, small and medium enterprises 2006–07. New Delhi: Government of India.
Ministry of Micro, Small and Medium Enterprises. (2011). Annual report 2010–2011. New Delhi: Government of India.
Ministry of Small Scale Industries. (2003). Quick results of third all India census of small scale industries 2001–02. Government of India: New Delhi.
Monteiro, J., & Assunção, J. (2012). Coming out of the shadows? Estimating the impact of bureaucracy simplification and tax cut on formality in Brazilian microenterprises. Journal of Development Economics, 99(1), 105–115
Nugent, J., & Sukiassyan, G. (2008). Associations versus registration as alternative strategies of small firms. Small Business Economics, 31, 147–161.
Rand, J., & Torm, N. (2012). The benefits of formalization: Evidence from Vietnamese manufacturing SMEs. World Development, 40(5), 983–998.
Rosenbaum, P. R., & Rubin, D. B. (1983). The central role of the propensity score in observational studies for causal effects. Biometrika, 70(1), 41–55.
Rosenbaum, P. R., & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician, 39(1), 33–38.
Silverman, B. W. (1986). Density estimation for statistics and data analysis. London and New York: Chapman and Hall.
Van Praag, C. M., & Versloot, P. (2007). What is the value of entrepreneurship? A review of recent research. Small Business Economics, 29(4), 351–382.
Acknowledgments
I thank Jeffrey Nugent, Saurabh Singhal, Deepti Goel, Ashwini Deshpande and two anonymous referees for detailed comments. All remaining errors are mine.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Sharma, S. Benefits of a registration policy for microenterprise performance in India. Small Bus Econ 42, 153–164 (2014). https://doi.org/10.1007/s11187-013-9475-y
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11187-013-9475-y