Skip to main content
Log in

Scalability versus flexibility: firm size and R&D in Indian industry

  • Published:
The Journal of Technology Transfer Aims and scope Submit manuscript

Abstract

This article has examined the impact of firm size on R&D spending for a panel of several thousand Indian firms, for a period of seven years from 1999–2000 to 2005–2006. The average levels of R&D spending are low but for firms that do undertake R&D the average levels of R&D spending are much higher. The results of the analysis for all the manufacturing sector firms have shown that larger firm size is associated with a higher probability of R&D spending. In non-linear estimation the squared term is negative denoting that after a particular threshold firm size has no effect on R&D spending. When only the R&D spending firms are evaluated then size has a mild impact on R&D spending and in a non-linear framework the effect of size disappears signifying that both the relatively smaller and larger firm alike seem to be motivated in building capabilities in the post-liberalization period of the Indian economy.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. The consequences of R&D spending are, however, not evaluated in this analysis. On that topic, the literature is equally large (see Hall 2002) and while evidence for Indian firms is not available, the paucity of data on innovative sales or productivity precludes such analysis.

  2. They also noted that previous studies of the private, or firm-level, returns to R&D had been based on incomplete and imprecise measures of productivity and showed how Census-Bureau, plant level data, the longitudinal research database, could be used to construct estimates of total factor productivity that were subject to considerably less measurement error than those constructed from publicly available sources. These generated substantially more precise estimates of the firm-level returns to R&D. They reported that the returns to company-funded R&D remained high during the productivity slowdown of the 1970s. Broadly similar results were also established by Medda et al. (2005).

References

  • Acs, Z. J., & Audretsch, D. B. (1987). Innovation, market structure, and firm size. Review of Economics and Statistics, 69(4), 567–574.

    Article  Google Scholar 

  • Acs, Z. J., & Audretsch, D. B. (1991). R&D, firm size, and innovative activity. In Z. J. Acs & D. B. Audretsch (Eds.), Innovation and technological change: An international comparison. New York, NY: Harvester Wheatsheaf.

    Google Scholar 

  • Aghion, P., & Howitt, P. (1992). A model of growth through creative destruction. Econometrica, 60, 323–351.

    Article  Google Scholar 

  • Aragón-Correa, J., Hurtado-Torres, N., Sharma, S., & García-Morales, V. (2008). Environmental strategy and performance in small firms: A resource-based perspective. Journal of Environmental Management, 86, 88–103.

    Article  Google Scholar 

  • Arellano, M. (2003). Panel data econometrics. Oxford: Oxford University Press.

    Book  Google Scholar 

  • Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. Review of Economic Studies, 58, 277–297.

    Article  Google Scholar 

  • Arrow, K. (1962). Economic welfare and the allocation of resources for inventions. In R. Nelson (Ed.), The rate and direction of inventive activity. National Bureau of Economic Research. Princeton: Princeton University Press.

    Google Scholar 

  • Baltagi, B. H. (2008). Econometric analysis of panel data (4th ed.). Chichester: Wiley.

    Google Scholar 

  • Bhagat, S., & Welch, I. (1995). Corporate research and development investments: International comparisons. Journal of Accounting and Economics, 19, 443–470.

    Article  Google Scholar 

  • Bonaccorsi, A. (1992). On the relationship between firm size and export intensity. Journal of International Business Studies, 23(4), 605–635.

    Article  Google Scholar 

  • Bound, J., Cummins, C., Griliches, Z., Hall, B., & Jaffe, A. (1984). Who does R&D and who patents? In Z. Griliches (Ed.), R&D, patents, and productivity. Chicago: University of Chicago Press.

    Google Scholar 

  • Bowman, C., & Ambrosini, V. (2003). How the resource-based and the dynamic capability views of the firm inform corporate-level strategy. British Journal of Management, 14, 289–303.

    Article  Google Scholar 

  • Bozeman, B., & Link, A. N. (1983). Investments in technology: Corporate strategies and public policy alternatives. New York: Praeger.

    Google Scholar 

  • Calof, J. (1994). The relationship between firm size and export behavior revisited. Journal of International Business Studies, 25(2), 367–398.

    Article  Google Scholar 

  • Carlsson, B. (1989). Flexibility and the theory of the firm. International Journal of Industrial Organization, 7(2), 179–203.

    Article  Google Scholar 

  • Chen, M., & Hambrick, D. (1995). Speed, stealth, and selective attack: How small firms differ from large firms in competitive behavior. Academy of Management Journal, 38(2), 453–482.

    Article  Google Scholar 

  • Cohen, W. M. (1995). Empirical studies of innovative activity. In P. Stoneman (Ed.), Handbook of the economics of innovation and technological change (pp. 182–264). Oxford: Blackwell.

    Google Scholar 

  • Cohen, W. M., & Klepper, S. (1996). A reprise of size and R&D. Economic Journal, 106, 925–951.

    Article  Google Scholar 

  • Cohen, W. M., Levin, R. C., & Mowery, D. (1987). Firm size and R&D intensity: A re-examination. Journal of Industrial Economics, 35, 543–563.

    Article  Google Scholar 

  • Comanor, W. S. (1967). Market structure, product differentiation, and industrial research. Quarterly Journal of Economics, 81, 631–657.

    Article  Google Scholar 

  • Daft, R. (1986). Organizational theory and design (2nd ed.). St. Paul, MN: West Publishing Co.

    Google Scholar 

  • Dean, T., Brown, R., & Bamford, C. (1998). Differences in large and small firm responses to environmental context: Strategic implications from a comparative analysis of business formations. Strategic Management Journal, 19, 709–728.

    Article  Google Scholar 

  • Dickson, P., Weaver, K., & Hoy, F. (2006). Opportunism in the R&D alliances of SMEs: The roles of the institutional environment and SME size. Journal of Business Venturing, 21, 487–513.

    Article  Google Scholar 

  • Eisenhardt, K., & Martin, J. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(October-November special issue), 1105–1121.

    Article  Google Scholar 

  • Eliasson, G. (1991). Modeling the experimentally organized economy. Journal of Economic Behavior and Organization, 16(1–2), 153–182.

    Article  Google Scholar 

  • Ellerman, D. (1985). On the labor theory of property. Philosophical Forum, 16(Summer), 293–326.

    Google Scholar 

  • Feinberg, S., & Majumdar, S. K. (2001). Technology spillovers from foreign direct investment in the Indian pharmaceutical industry. Journal of International Business Studies, 32(3), 421–438.

    Article  Google Scholar 

  • Galbraith, J. K. (1952). American capitalism: The concept of countervailing power. Boston: Houghton Mifflin Company.

    Google Scholar 

  • Grabowski, H. G. (1968). The determinants of industrial research and development: A study of the chemical, drug, and petroleum industries. Journal of Political Economy, 76, 292–306.

    Article  Google Scholar 

  • Griliches, Z. (1994). R&D and productivity: The econometric evidence. Chicago: Chicago University Press.

    Google Scholar 

  • Griliches, Z., & Lichtenberg, F. (1984). Inter-industry technology flows and productivity growth: A reexamination. Review of Economics and Statistics, 66, 324–329.

    Article  Google Scholar 

  • Guha, R. (2007). India after Gandhi: The history of the world’s largest democracy. London: Macmillan.

    Google Scholar 

  • Hall, B. H. (2002). The financing of research and development. Oxford Review of Economic Policy, 18(1), 35–51.

    Article  Google Scholar 

  • Hall, B., & Mairesse, J. (1995). Exploring the relationship between R&D and productivity in French manufacturing firms. Journal of Econometrics, 65, 263–294.

    Article  Google Scholar 

  • Hamberg, D. (1964). Size of firm, oligopoly, and research: The evidence. Canadian Journal of Economics and Political Science, 30, 62–75.

    Article  Google Scholar 

  • Hambrick, D., MacMillan, I., & Day, D. (1982). Strategic attributes and performance in the BCG matrix: A PIMS-based analysis of industrial product businesses. Academy of Management Journal, 25, 510–531.

    Article  Google Scholar 

  • Hao, K. Y., & Jaffe, A. B. (1993). Effect of liquidity on firms’ R&D spending. Economics of Innovation and New Technology, 2, 275–282.

    Article  Google Scholar 

  • Hardin, J. W., & Hilbe, J. M. (2003). Generalized estimating equations. Boca Raton, Fl: Chapman and Hall.

    Google Scholar 

  • Harhoff, D. (1998). Are there financing constraints for R&D and investment in German manufacturing firms? Annales d’Economie et de Statistique, 49–50, 421–456.

    Google Scholar 

  • Hedeker, D., & Gibbons, R. (2006). Longitudinal data analysis. Hoboken, NJ: Wiley.

    Google Scholar 

  • Helpman, E., & Krugman, P. (1985). Market structure and foreign trade. Cambridge, MA: MIT Press.

    Google Scholar 

  • Himmelberg, C. P., & Petersen, B. C. (1994). R&D and internal finance: A panel study of small firms in high-tech industries. Review of Economics and Statistics, 76, 38–51.

    Article  Google Scholar 

  • Hitt, M., Hoskisson, R., & Ireland, R. (1990). Mergers and acquisitions and managerial commitment to innovation in M-form firms. Strategic Management Journal, 11(Summer Special Issue), 29–47.

    Google Scholar 

  • Hodge, B., & Anthony, W. (1991). Organization theory: A strategic approach. Boston, MA: Allyn and Bacon.

    Google Scholar 

  • Holmstrom, B. (1989). Agency costs and innovation. Journal of Economic Behavior & Organization, 12, 305–327.

    Article  Google Scholar 

  • Hoshi, T., Kashyap, A., & Scharfstein, D. (1991). Corporate structure, liquidity, and investment: Evidence from Japanese industrial groups. Quarterly Journal of Economics, 106, 33–60.

    Article  Google Scholar 

  • Hubbard, R. G. (1998). Capital-market imperfections and investment. Journal of Economic Literature, 36, 193–225.

    Google Scholar 

  • Jones, C., & Williams, J. (1998). Measuring the social rate of return to R&D. Quarterly Journal of Economics, 113, 119–135.

    Article  Google Scholar 

  • Judson, R. A., & Owen, A. L. (1999). Estimating dynamic panel data models: A practical guide for macroeconomists. Economics Letters, 65(1), 9–15.

    Article  Google Scholar 

  • Kamien, M., & Schwartz, N. (1982). Market structure and innovation. Cambridge: Cambridge University Press.

    Google Scholar 

  • Khilnani, S. (1999). The idea of India. New York: Farrar, Straus and Giroux.

    Google Scholar 

  • Kleinknecht, A. (1987). Measuring R & D in small firms: How much are we missing? Journal of Industrial Economics, 36(2), 253–256.

    Article  Google Scholar 

  • Klepper, S., & Simons, K. (1997). Technological extinctions of industrial firms: An inquiry into their nature and causes. Industrial and Corporate Change, 6(2), 379–460.

    Google Scholar 

  • Knight, G., & Cavusgil, S. T. (2004). Innovation, organizational capabilities, and the born-global firm. Journal of International Business Studies, 35, 2–14.

    Google Scholar 

  • Leiblein, M., & Madsen, T. (2009). Unbundling competitive heterogeneity: Incentive structures and capability influences on technological innovation. Strategic Management Journal, 30, 711–735.

    Article  Google Scholar 

  • Liang, K.-Y., & Zeger, S. L. (1986). Longitudinal data analysis using generalized linear models. Biometrika, 73(1), 13–22.

    Article  Google Scholar 

  • Lichtenberg, F., & Siegel, D. (1991). The impact of R&D investment on productivity-new evidence using linked R&D-LRD data. Economic Inquiry, 29(2), 203–229.

    Article  Google Scholar 

  • Link, A. N. (1980). Firm size and efficient entrepreneurial activity: A reformulation of the Schumpeter hypotheses. Journal of Political Economy, 88, 771–782.

    Article  Google Scholar 

  • Luce, E. (2006). In spite of the Gods: The strange rise of modern India. London: Little, Brown.

    Google Scholar 

  • Majumdar, S. K. (2007). Private enterprise growth and human capital productivity in India. Entrepreneurship Theory and Practice, 31(6), 853–872.

    Article  Google Scholar 

  • Majumdar, S. K. (2009). Retentions, relationships and innovations: The financing of R&D in India. Economics of Innovation and New Technology, forthcoming.

  • Mansfield, E. (1964). Industrial research and development expenditures: Determinants, prospects, and relation of size of firm and inventive output. Journal of Political Economy, 71, 556–576.

    Article  Google Scholar 

  • Mansfield, E. (1968). Industrial research and technological innovation: An econometric analysis. New York: Norton.

    Google Scholar 

  • Medda, G., Piga, C., & Siegel, D. S. (2005). University R&D and firm productivity: Evidence from Italy. Journal of Technology Transfer, 30(1–2), 199–205.

    Google Scholar 

  • Medda, G., Piga, C., & Siegel, D. S. (2006). Assessing the returns to collaborative research: Firm-level evidence from Italy. Economics of Innovation and New Technology, 15(1), 37–50.

    Article  Google Scholar 

  • Meyer, K., Wright, M., & Pruthi, S. (2009). Managing knowledge in foreign entry strategies: A resource-based analysis. Strategic Management Journal, 30, 557–574.

    Article  Google Scholar 

  • Newbert, S. (2008). Value, rareness, competitive advantage, and performance: A conceptual-level empirical investigation of the resource-based view of the firm. Strategic Management Journal, 29, 745–768.

    Article  Google Scholar 

  • Nickell, S. J. (1981). Biases in dynamic models with fixed effects. Econometrica, 49(6), 1417–1426.

    Article  Google Scholar 

  • Pavitt, K., Robson, M., & Townsend, J. (1987). The size distribution of innovating firms in the UK: 1945–1983. Journal of Industrial Economics, 35, 297–316.

    Article  Google Scholar 

  • Scherer, F. M. (1965). Firm size, market structure, opportunity, and the output of patented inventions. American Economic Review, 55, 1097–1125.

    Google Scholar 

  • Scherer, F. (1982). Inter-industry technology flows and productivity growth. Review of Economics and Statistics, 64, 627–634.

    Article  Google Scholar 

  • Schumpeter, J. A. (1942). Capitalism, socialism, and democracy. New York: Harper and Row.

    Google Scholar 

  • Singh, J. (1990). Organizational evolution. Beverly Hills, CA: Sage.

    Google Scholar 

  • Sveikauskas, L. (1981). Technological inputs and multifactor productivity growth. Review of Economics and Statistics, 63, 275–282.

    Article  Google Scholar 

  • Svetličič, M., Jaklič, A., & Burger, A. (2007). Internationalization of small and medium-size enterprises from selected central European economies. Eastern European Economics, 45(4), 36–65.

    Article  Google Scholar 

  • Symeonidis, G. (1996). Innovation, firm size and market structure: Schumpeterian hypotheses and some new themes. OECD Economic Studies, 27(2), 35–70.

    Google Scholar 

  • Teece, D., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.

    Article  Google Scholar 

  • Terleckyj, N. (1980). Direct and indirect effects of industrial research and development on the productivity growth of industries. In J. W. Kendrick & B. Vaccara (Eds.), New developments in productivity measurement and analysis. Chicago University Press: Chicago.

    Google Scholar 

  • Wernerfelt, B. (1984). A resource-based view of the firm. Strategic Management Journal, 5(2), 171–180.

    Article  Google Scholar 

  • Zeger, S. L., Liang, K.-Y., & Albert, P. S. (1988). Models for longitudinal data: A generalized estimating equation approach. Biometrics, 44, 1049–1060.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sumit K. Majumdar.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Majumdar, S.K. Scalability versus flexibility: firm size and R&D in Indian industry. J Technol Transf 36, 101–116 (2011). https://doi.org/10.1007/s10961-009-9147-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10961-009-9147-x

Keywords

Navigation