Drivers of Firm-Level Productivity in Russia's Manufacturing Sector

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 pro...

Full description

Bibliographic Details
Main Author: Bogetic, Željko
Other Authors: Olusi, Olasupo
Format: eBook
Language:English
Published: Washington, D.C The World Bank 2013
Online Access:
Collection: World Bank E-Library Archive - Collection details see MPG.ReNa
LEADER 01769nmm a2200229 u 4500
001 EB002100979
003 EBX01000000000000001241069
005 00000000000000.0
007 cr|||||||||||||||||||||
008 221013 ||| eng
100 1 |a Bogetic, Željko 
245 0 0 |a Drivers of Firm-Level Productivity in Russia's Manufacturing Sector  |h Elektronische Ressource  |c Željko Bogetic 
260 |a Washington, D.C  |b The World Bank  |c 2013 
300 |a 29 p 
700 1 |a Olusi, Olasupo 
700 1 |a Bogetic, Željko 
041 0 7 |a eng  |2 ISO 639-2 
989 |b WOBA  |a World Bank E-Library Archive 
028 5 0 |a 10.1596/1813-9450-6572 
856 4 0 |u http://elibrary.worldbank.org/doi/book/10.1596/1813-9450-6572  |x Verlag  |3 Volltext 
082 0 |a 330 
520 |a 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