Firm Growth and Productivity in Belarus : New Empirical Evidence from the Machine Building Industry

Using a unique dataset comprising information for (up to) 153 firms in the machine building sector in Belarus, we investigate the determinants of firm growth for an economy where state ownership of enterprises is widespread. We use panel data models based on generalizations of Gibrat’s law, total fa...

Full description

Bibliographic Details
Main Authors: Crespo Cuaresma, Jesus, Oberhofer, Harald, Vincelette, Gallina A.
Format: Journal Article
Language:en_US
Published: Elsevier 2013
Subjects:
Online Access:http://hdl.handle.net/10986/15490
id okr-10986-15490
recordtype oai_dc
spelling okr-10986-154902021-04-23T14:03:22Z Firm Growth and Productivity in Belarus : New Empirical Evidence from the Machine Building Industry Crespo Cuaresma, Jesus Oberhofer, Harald Vincelette, Gallina A. firm growth total factor productivity state-owned enterprises soft budget constraints Using a unique dataset comprising information for (up to) 153 firms in the machine building sector in Belarus, we investigate the determinants of firm growth for an economy where state ownership of enterprises is widespread. We use panel data models based on generalizations of Gibrat’s law, total factor productivity estimates and matching methods to assess the differences in firm growth between private and state-controlled firms. Our results indicate that labor hoarding and soft budget constraints play a particularly important role in explaining differences in performance between these two groups of firms. 2013-08-29T16:17:12Z 2013-08-29T16:17:12Z 2013-07-25 Journal Article Journal of Comparative Economics 0147-5967 DOI:10.1016/j.jce.2013.07.004 http://hdl.handle.net/10986/15490 en_US CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ World Bank Elsevier Publications & Research :: Journal Article Publications & Research Europe and Central Asia Belarus
repository_type Digital Repository
institution_category Foreign Institution
institution Digital Repositories
building World Bank Open Knowledge Repository
collection World Bank
language en_US
topic firm growth
total factor productivity
state-owned enterprises
soft budget constraints
spellingShingle firm growth
total factor productivity
state-owned enterprises
soft budget constraints
Crespo Cuaresma, Jesus
Oberhofer, Harald
Vincelette, Gallina A.
Firm Growth and Productivity in Belarus : New Empirical Evidence from the Machine Building Industry
geographic_facet Europe and Central Asia
Belarus
description Using a unique dataset comprising information for (up to) 153 firms in the machine building sector in Belarus, we investigate the determinants of firm growth for an economy where state ownership of enterprises is widespread. We use panel data models based on generalizations of Gibrat’s law, total factor productivity estimates and matching methods to assess the differences in firm growth between private and state-controlled firms. Our results indicate that labor hoarding and soft budget constraints play a particularly important role in explaining differences in performance between these two groups of firms.
format Journal Article
author Crespo Cuaresma, Jesus
Oberhofer, Harald
Vincelette, Gallina A.
author_facet Crespo Cuaresma, Jesus
Oberhofer, Harald
Vincelette, Gallina A.
author_sort Crespo Cuaresma, Jesus
title Firm Growth and Productivity in Belarus : New Empirical Evidence from the Machine Building Industry
title_short Firm Growth and Productivity in Belarus : New Empirical Evidence from the Machine Building Industry
title_full Firm Growth and Productivity in Belarus : New Empirical Evidence from the Machine Building Industry
title_fullStr Firm Growth and Productivity in Belarus : New Empirical Evidence from the Machine Building Industry
title_full_unstemmed Firm Growth and Productivity in Belarus : New Empirical Evidence from the Machine Building Industry
title_sort firm growth and productivity in belarus : new empirical evidence from the machine building industry
publisher Elsevier
publishDate 2013
url http://hdl.handle.net/10986/15490
_version_ 1764431060498644992