中国地理科学 ›› 2020, Vol. 30 ›› Issue (2): 309-323.doi: 10.1007/s11769-019-1087-2

• 论文 • 上一篇    下一篇

Impact of Industrial Agglomeration on Productivity: Evidence from Iran's Food Industry

Nastaran NAJKAR1, Mohammad Reza KOHANSAL2, Mohammad GHORBANI2   

  1. 1. Department of Agricultural Economics, International Campus of Ferdowsi University of Mashhad, Mashhad 9177948974, Iran;
    2. Department of Agricultural Economics, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran
  • 收稿日期:2019-03-07 出版日期:2020-03-20 发布日期:2019-11-08
  • 通讯作者: Mohammad Reza KOHANSAL.E-mail:Kohansal@um.ac.ir E-mail:Kohansal@um.ac.ir
  • 基金资助:
    Under the auspices of Project of Research Center of Ferdowsi university of Mashhad (No. 40779)

Impact of Industrial Agglomeration on Productivity: Evidence from Iran's Food Industry

Nastaran NAJKAR1, Mohammad Reza KOHANSAL2, Mohammad GHORBANI2   

  1. 1. Department of Agricultural Economics, International Campus of Ferdowsi University of Mashhad, Mashhad 9177948974, Iran;
    2. Department of Agricultural Economics, Ferdowsi University of Mashhad, Mashhad 9177948974, Iran
  • Received:2019-03-07 Online:2020-03-20 Published:2019-11-08
  • Contact: Mohammad Reza KOHANSAL.E-mail:Kohansal@um.ac.ir E-mail:Kohansal@um.ac.ir
  • Supported by:
    Under the auspices of Project of Research Center of Ferdowsi university of Mashhad (No. 40779)

摘要: This paper aims to examine the effect of agglomeration on firm level productivity in Iran's food manufacturing by employing a firm level dataset during 1986-2015 among firms for four districts. The empirical results show that agglomeration in north districts are key factors in productivity growth. In this work, we apply a spatial Bayes model that uses hierarchical techniques during the three terms. The productivity clustering map is able to capture such patterns as the high productivity area that appears in the south, north districts of Iran. This paper evaluates the effect of agglomeration on firm productivity in Iran's food industries at district level. We find that regional market potential is the strong predictor of productivity; moreover, industrial agglomeration has a productivity-augmenting impact.

关键词: Agglomeration, productivity, spatial Bayes, hierarchical, Iran

Abstract: This paper aims to examine the effect of agglomeration on firm level productivity in Iran's food manufacturing by employing a firm level dataset during 1986-2015 among firms for four districts. The empirical results show that agglomeration in north districts are key factors in productivity growth. In this work, we apply a spatial Bayes model that uses hierarchical techniques during the three terms. The productivity clustering map is able to capture such patterns as the high productivity area that appears in the south, north districts of Iran. This paper evaluates the effect of agglomeration on firm productivity in Iran's food industries at district level. We find that regional market potential is the strong predictor of productivity; moreover, industrial agglomeration has a productivity-augmenting impact.

Key words: Agglomeration, productivity, spatial Bayes, hierarchical, Iran