资源与产业 ›› 2020, Vol. 22 ›› Issue (4): 23-31.DOI: 10.13776/j.cnki.resourcesindustries.20200422.001

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工业结构、空间溢出与绿色全要素生产率研究——以江苏省为例

庄 远,吴 正,刘 戎   

  1. (河海大学 商学院,江苏 南京 211100)
  • 收稿日期:2019-11-21 修回日期:2020-04-13 出版日期:2020-08-20 发布日期:2020-08-28
  • 通讯作者: 吴正 15195958191@163.com
  • 基金资助:
    国家社科基金(14CGL020)

A CASE STUDY ON JIANGSU PROVINCE: INDUSTRIAL STRUCTURE, SPATIALOVERFLOW AND GREEN TOTAL FACTOR PRODUCTIVITY (GTFP)

ZHUANG Yuan, WU Zheng, LIU Rong   

  1. (Business School, Hohai University, Nanjing 211100, China)
  • Received:2019-11-21 Revised:2020-04-13 Online:2020-08-20 Published:2020-08-28

摘要: 在当前经济新常态下,保持工业的可持续性发展、优化工业产业结构、促进工业绿色全要素生产率的提升是工业发展的重点。本文利用江苏省各地区工业行业数据,基于DEA模型测算江苏省各地区绿色全要素生产率(green total factor productivity, GTFP),并将工业行业进一步分为5个产业部门,分别在邻接空间权重、地理距离权重和经济距离权重下实证考察工业结构对GTFP的空间溢出效应及其分解。结果表明,江苏省绿色全要素生产率具有高度的空间集聚性,各个工业部门对区内和区外的影响具有同向性,即直接效应与间接效应的符号相同。同时分析各控制变量对GTFP的影响,结果显示,控制变量不同则其影响不同。实证结果表明,江苏省各地区之间的产业结构具有外溢作用,但是工业产业结构中仍存在高耗能、高污染、高排放的企业,这对江苏省经济发展转型升级产生一定的阻碍作用,也是江苏省能否成功实现产业结构动能转换的关键所在。

关键词: 工业结构, 全要素生产率, 空间溢出, 空间Durbin模型, 江苏省

Abstract: Industrial development relies on maintaining sustainable development, optimizing industrial structure and boosting industrial GTFP amid the current economic situation. This paper, according to industrial data in Jiangsu province, uses DEA model to measure their GTFP which is used to divide the industrial sector into 5 divisions, discusses the spatial overflow and its decomposition of industrial structure on GTFP from weights of adjacent space, geographic distance and economy distance. Jiangsu's GTFP is of highly spatial concentration, and of same orientation on inside and outside of region of each industrial department, with same symbols of direct and in-direct effects. Influences of controlling variables on GTFP vary. Industrial structure is of overflow effect among Jiangsu's regions, whose industrial structure still has highly energy-consuming, highly polluting, and highly emitting companies, impeding its economic transformation and upgrading to some extent, crucial to its successful kinetic transformation of industrial structure.

Key words: industrial structure, GTFP, spatial overflow, spatial Durbin model, Jiangsu province

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