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Drivers of firm-level productivity in Russia's manufacturing sector

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  • Bogetic, Zeljko
  • Olusi, Olasupo

Abstract

This note presents the results of an empirical analysis of firm-level productivity growth in Russia's manufacturing sector during the period 2003-08 using a rich Amadeus database as well as the recent EBRD/World Bank Business Enterprise and Performance surveys (BEEPs). The results show that productivity grew steadily between 2003 and 2008, with an annual growth rate averaging 4 percent over the period, showing no signs of a slowdown from the previous period after the 1998 crisis. Firm characteristics such as size, location, age, and the structure of firm ownership are important determinants of productivity, as evidenced by positive effects of scale economies (large firm effect), agglomeration (Moscow-city effect), private ownership, and a firm's industry dominance. Supplemental analysis of the quality of infrastructure -- water, electricity, transport, and the internet -- using BEEPS data show that infrastructure quality gaps reduce firm productivity with water supply gaps having the largest impact.

Suggested Citation

  • Bogetic, Zeljko & Olusi, Olasupo, 2013. "Drivers of firm-level productivity in Russia's manufacturing sector," Policy Research Working Paper Series 6572, The World Bank.
    • Handle: RePEc:wbk:wbrwps:6572
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    References listed on IDEAS

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    1. Agarwal, Rajshree & Gort, Michael, 1996. "The Evolution of Markets and Entry, Exit and Survival of Firms," The Review of Economics and Statistics, MIT Press, vol. 78(3), pages 489-498, August.
    2. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-838, May.
    3. Olley, G Steven & Pakes, Ariel, 1996. "The Dynamics of Productivity in the Telecommunications Equipment Industry," Econometrica, Econometric Society, vol. 64(6), pages 1263-1297, November.
    4. Bogetic, Zeljko & Fedderke, Johannes W., 2006. "International benchmarking of infrastructure performance in the Southern African Customs Union Countries," Policy Research Working Paper Series 3987, The World Bank.
    5. Fedderke, J.W. & Bogetic, Z., 2009. "Infrastructure and Growth in South Africa: Direct and Indirect Productivity Impacts of 19 Infrastructure Measures," World Development, Elsevier, vol. 37(9), pages 1522-1539, September.
    6. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
    7. White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
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    Cited by:

    1. Kudrin, A. & Gurvich, E., 2015. "Government Stimulus or Economic Incentives?," Journal of the New Economic Association, New Economic Association, vol. 26(2), pages 179-186.
    2. Simachev, Yuri & Kuzyk, Mikhail & Feygina, Vera, 2014. "Russian policies in support of innovation: elusive quest for efficiency," MPRA Paper 56750, University Library of Munich, Germany.
    3. repec:kap:ecopln:v:51:y:2018:i:2:d:10.1007_s10644-016-9196-8 is not listed on IDEAS
    4. repec:eee:rujoec:v:1:y:2015:i:1:p:30-54 is not listed on IDEAS

    More about this item

    Keywords

    Transport Economics Policy&Planning; E-Business; Economic Theory&Research; Microfinance; Municipal Financial Management;

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