Market structure and productivity: A concrete example

被引:349
作者
Syverson, C [1 ]
机构
[1] Univ Chicago, Chicago, IL 60637 USA
[2] Natl Bur Econ Res, Cambridge, MA 02138 USA
[3] US Bur Census, Ctr Econ Studies, Washington, DC 20233 USA
关键词
D O I
10.1086/424743
中图分类号
F [经济];
学科分类号
02 ;
摘要
Many studies have documented large and persistent productivity differences across producers, even within narrowly defined industries. This paper both extends and departs from the past literature, which focused on technological explanations for these differences, by proposing that demand-side features also play a role in creating the observed productivity variation. The specific mechanism investigated here is the effect of spatial substitutability in the product market. When producers are densely clustered in a market, it is easier for consumers to switch between suppliers ( making the market in a certain sense more competitive). Relatively inefficient producers find it more difficult to operate profitably as a result. Increases in substitutability truncate the productivity distribution from below, resulting in higher minimum and average productivity levels as well as less productivity dispersion. The paper presents a model that makes this process explicit and empirically tests it using data from U. S. ready-mixed concrete plants, taking advantage of geographic variation in substitutability created by the industry's high transport costs. The results support the model's predictions and appear robust. Markets with high demand density for ready-mixed concrete-and thus high concrete plant densities-have higher lower-bound and average productivity levels and exhibit less productivity dispersion among their producers.
引用
收藏
页码:1181 / 1222
页数:42
相关论文
共 31 条
[1]  
ABBOTT TA, 1992, 923 BUR CENS CTR EC
[2]   A MODEL OF GROWTH THROUGH CREATIVE DESTRUCTION [J].
AGHION, P ;
HOWITT, P .
ECONOMETRICA, 1992, 60 (02) :323-351
[3]  
[Anonymous], 1989, TECHNOLOGY CAPITAL F
[4]  
ASPLUND M, 2003, 03010 U PENNS PENN I
[5]  
BAILY MN, 1992, BROOKINGS PAP ECO AC, P187
[6]   Understanding productivity: Lessons from longitudinal microdata [J].
Bartelsman, EJ ;
Doms, M .
JOURNAL OF ECONOMIC LITERATURE, 2000, 38 (03) :569-594
[7]  
Basu S., 1997, 5915 NBER
[8]  
Bresnahan T., 1991, J POLITICAL EC, V99, P997
[9]   THE BIAS OF INSTRUMENTAL VARIABLE ESTIMATORS [J].
BUSE, A .
ECONOMETRICA, 1992, 60 (01) :173-180
[10]  
CAMPBELL JR, IN PRESS J IND EC