Skew Productivity Distributions and Agglomeration: Evidence from Plant-Level Data

被引:9
|
作者
Okubo, Toshihiro [1 ]
Tomiura, Eiichi [2 ]
机构
[1] Keio Univ, Fac Econ, Minato Ku, Mita, Tokyo 1088345, Japan
[2] Yokohama Natl Univ, Dept Econ, Hodogaya Ku, Yokohama, Kanagawa 2408501, Japan
关键词
Agglomeration; Productivity; Skewness; Heterogeneity; Plant-level data; FIRM SIZE DISTRIBUTION; GEOGRAPHIC CONCENTRATION; LOCALIZATION; CONVERGENCE; INDUSTRIES; SELECTION; EVOLUTION; GROWTH; MARKET;
D O I
10.1080/00343404.2012.753143
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper empirically examines how the shapes of plant productivity distributions vary across regions based on Japan's manufacturing census. It focuses on the skewness to examine the asymmetry by estimating the gamma distribution at the plant level. By linking the estimated shape parameters with economic geography variables, it is found that the productivity distribution tends to be significantly left skewed, especially in cores, regions with diversified industrial compositions, regions with weak market potential and in agglomerated industries. These findings suggest that agglomeration economies are likely to accommodate heterogeneous plants with wide ranges of productivities.
引用
收藏
页码:1514 / 1528
页数:15
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