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Financing sources and firm level productivity growth: evidence from Indian manufacturing

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Abstract

A large literature provides empirical evidence that financial development enhances welfare by stimulating economic efficiency and offering more profitable growth opportunities, although the issues of identifying the exact mechanisms through which finance enhances welfare and dealing with the simultaneity between financial development and growth still remain contentious. This paper takes a firm-level approach to study the link between financing sources and firm growth in India. We start by observing that (domestic) financial underdevelopment should not necessarily constrain all firms’ growth opportunities equally, given they can also access other non-bank finance sources such as retained earnings, foreign finance and government borrowings. Similarly, it is unrealistic to assume that similar financial structure will generate homogenous effects across firms. These considerations motivate our research questions of whether financing sources matter for firms’ productivity growth and whether this depends on firm characteristics such as ownership and size. We answer these questions using a rich micro panel data set and employing econometric techniques that deal with the potential reverse causality from financial structure to productivity growth. We find that relative to retained earnings, bank and nonbank finances positively affect firm level productivity growth with bank loans having the largest and government borrowings the least effect on growth. Size is found to play a mediating role in the finance-growth nexus: access to bank loans (nonbank finance) disproportionately benefits smaller (bigger) firms. Further analysis around ownership structure suggests that all else equal, it would appear that financial structure matters only for the growth of domestic private firms.

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Notes

  1. See Levine (2005) for a review.

  2. Other variables used in the literature include initial TFP level to control for firms’ technological endowment, exporting to capture the expected performance-enhancing effects of export activities that have been widely documented across a number of countries, and innovation (measured as the percentage of R&D expenditure) to test the presence of innovation-driving growth (e.g. Jovanovic 1982). These variables were included in other regressions, but excluded from our main results as they were not significant.

  3. To the authors’ best knowledge, this is the only available econometric technique for tackling problems associated with censored regressors which are also endogenous. However see Rigobon and Stoker (2007) for an alternative treatment of the regression with exogenous censored regressors.

  4. Given four financing sources in our case, the share of internal finance is omitted from estimation.

  5. The organised sector here refers to firms that submit financial statements.

  6. These include hire purchase loans, deferred credit, debentures and bonds, borrowings syndicated across banks and institutions, loans from promoters/directors/shareholders, inter-corporate loans, commercial papers, fixed deposits, as well as borrowings from foreign sources.

  7. The distinction between group affiliation and non-group affiliation is important as some studies have found that group-affiliated firms enjoy exceptional access to government and foreign loans (e.g. Manos et al. 2007).

  8. About 35 % of firms in the data set belong to either an Indian business group or a foreign business house.

  9. There is a large variation in the age of the firms, with quite a few firms over 100 years old (the oldest firm is 182 years of age).

  10. All monetary values in Prowess are expressed in Rupees crore (1 crore equals 10 millions rupees).

  11. This observation from our data set is in contrast to Allen et al. (2012b) who report (albeit over a shorter period from 2001 to 2006) that alternative finance is the most important source of external finance followed by bank loans. Note that our definition of alternative finance differs from these authors.

  12. These figures are obtained by multiplying the coefficients on bank loans and non-bank loans from column (6) with their respective standard deviations (Table 1).

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Correspondence to Dev Vencappa.

Appendix

Appendix

See Table 6.

Table 6 First stage Tobit estimates of the determinants of financial structure

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Girma, S., Vencappa, D. Financing sources and firm level productivity growth: evidence from Indian manufacturing. J Prod Anal 44, 283–292 (2015). https://doi.org/10.1007/s11123-014-0418-7

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