Sk ew Productivity Distributions and Agglomeration:Evidence from plant-level data
Sk ew Productivity Distributions and Agglomeration:Evidence from plant-level data
复制标题
生产力分布偏斜和集聚：来自工厂级数据的证据
DOI：
10.1080/00343404.2012.753143
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发表时间：
2013
期刊：
影响因子：
4.6
通讯作者：
Toshihiro Okubo and Eiichi Tomiura
中科院分区：
文献类型：
--
作者：
TAKAMURA;Yukari;渡部敏明;Toshihiro Okubo and Eiichi Tomiura
奥库博特和TomiuraE。偏斜生产力分布和聚集：来自工厂层面数据的证据，区域研究。本文根据日本的制造业普查数据，实证分析了各地区的工厂生产率分布形态的差异。它重点关注偏斜度，通过估计工厂级别的伽玛分布来检查不对称性。通过将形状参数与经济地理变量相联系，发现生产率分布有明显的左偏趋势，尤其是在核心区、产业结构多样化区、市场潜力弱区和产业集聚区。这些研究结果表明，聚集经济可能会容纳异质工厂的生产力范围广泛。
OkuboT. and TomiuraE. Skew productivity distributions and agglomeration: evidence from plant-level data,Regional Studies. 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.