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

Toshihiro Okubo, Eiichi Tomiura

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1514-1528
Number of pages15
JournalRegional Studies
Volume48
Issue number9
DOIs
Publication statusPublished - 2014

Fingerprint

agglomeration
agglomeration area
productivity
evidence
economic geography
skewness
asymmetry
census
manufacturing
Japan
geography
market
economy
industry
distribution

Keywords

  • Agglomeration
  • Heterogeneity
  • Plant-level data
  • Productivity
  • Skewness

ASJC Scopus subject areas

  • Social Sciences(all)
  • Environmental Science(all)

Cite this

Skew Productivity Distributions and Agglomeration : Evidence from Plant-Level Data. / Okubo, Toshihiro; Tomiura, Eiichi.

In: Regional Studies, Vol. 48, No. 9, 2014, p. 1514-1528.

Research output: Contribution to journalArticle

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