北京航空航天大学学报(社会科学版) ›› 2020, Vol. 33 ›› Issue (1): 93-98.DOI: 10.13766/j.bhsk.1008-2204.2018.0375

• 经济与管理 • 上一篇    下一篇

中国城市工业污染的影响因素研究

李学迪, 郑海涛   

  1. 北京航空航天大学 经济管理学院, 北京 100083
  • 收稿日期:2018-12-12 出版日期:2020-01-25 发布日期:2020-02-25
  • 作者简介:李学迪(1983-),女,山东章丘人,博士研究生,研究方向为管理科学与工程.
  • 基金资助:
    国家自然科学基金(71873012,71371021);教育部人文社会科学项目规划基金(17YJA790097)

Influencing Factors of Industrial Pollution in Chinese Cities

LI Xuedi, ZHENG Haitao   

  1. School of Economics and Management, Beijing University of Aeronautics and Astronantics, Beijing 100083, China
  • Received:2018-12-12 Online:2020-01-25 Published:2020-02-25

摘要: 利用中国77个城市自2004-2012年的数据,构建基于线性混合模型的STIRPAT模型,对东部、中部和西部地区的城市工业污染影响因素进行实证研究。结果表明,整体来看,随着人口规模的扩大、城市化进程和工业化进程的推进,工业污染将显著地增加。能源消费结构的改善将有利于降低工业污染。同时,中国城市存在着正"U"型工业污染库兹涅茨曲线,随着人均GDP的增加,工业污染呈现先减少后增加的趋势。分地区来看,人口规模对工业污染的影响随着地区的不同而不同,西部地区比东部地区和中部地区的影响程度要小。因此,中国的工业污染治理政策要因地制宜。

关键词: 中国城市, 线性混合模型, STIRPAT模型, 工业污染, 面板数据

Abstract: Based on the data of 77 cities in China from 2004 to 2012, the STIRPAT model combined with linear mixed model is constructed to study the influencing factors of urban industrial pollution in eastern, central and western regions of China. The results show that, as a whole, with the expansion of population size, urbanization process and the industrialization process, industrial pollution will be significantly increasing. Improvements in the energy consumption structure will help reducing industrial pollution. At the same time, there is a "U" shape Kuznets curve of industrial pollution in China's urbans. With GDP per capita growing, industrial pollution firstly decreases and then increases. The impact of population size on industrial pollution varies with regions. This influence in the western region is greater than that in the eastern and central regions. Policy implications for controlling industrial pollution in Chinese cities will be provided.

Key words: Chinese cities, linear mixed model, STIRPAT model, industrial pollution, panel data

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