北京邮电大学学报(社会科学版) ›› 2020, Vol. 22 ›› Issue (6): 79-89.doi: 10.19722/j.cnki.1008-7729.2020.0238

• 经济与管理 • 上一篇    下一篇

产业集聚、研发投入对环境污染的影响研究

赵宏中( 1957—) ,男,山西太原人,博士,教授   

  1. 武汉理工大学 经济学院,湖北 武汉430000
  • 收稿日期:2020-08-26 出版日期:2020-12-30 发布日期:2021-01-25
  • 通讯作者: 赵宏中( 1957—) ,男,山西太原人,博士,教授
  • 作者简介:赵宏中( 1957—) ,男,山西太原人,博士,教授

Influence of Industrial Agglomeration and R&D Investment on Environmental Pollution

  1. School of Economics, Wuhan University of Technology, Wuhan 430070, China
  • Received:2020-08-26 Online:2020-12-30 Published:2021-01-25

摘要: 在全面梳理产业集聚和研发投入对环境污染影响关系的基础上,利用2005—2016年中国工业30 个省区市的面板数据,实证考察了产业集聚和研发投入对环境污染的影响关系。结果表明:产业集聚水平和研发投入对环境污染有显著的反向抑制作用,但两者很难对抑制环境污染发挥协同效应。非线性检验结果显示:过度追求产业集聚规模的提升会加重对环境的消耗,随着研发投入强度的提升,产业集聚对环境污染的抑制效果呈现先下降再上升的波动趋势变化。因此,要注重产业集聚质量的提升,动态处理产业集聚、研发投入与环境污染之间的关系。


关键词: 产业集聚, 研发投入, 环境污染, 面板门槛模型

Abstract: On the basis of comprehensively sorting out the effect of industrial agglomeration and R&D investment on environmental pollution, the relationship among industrial agglomeration, R&D investment and environmental pollution is empirically investigated by using panel data related industry of 30 provinces in China from 2005 to 2016. The results show that the level of industrial agglomeration and R&D investment have a significant reverse inhibition effect on environmental pollution, but both of them are difficult to play a coordinated effect on the inhibition of environmental pollution. The nonlinear test results show that the excessive pursuit of the improvement of industrial agglomeration scale will increase the consumption of environment. With the enhancement of R&D investment intensity, the inhibition effect of industrial agglomeration on environmental pollution shows a fluctuating trend of first decreasing and then increasing. Therefore, attention should be paid to the improvement of industrial agglomeration quality, and the relationship among industrial agglomeration, R&D investment and environmental pollution should be dealt with dynamically.

Key words: industrial agglomeration, R&, D input, environmental pollution, panel threshold model

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