Impact of transportation infrastructure on industrial pollution in Chinese cities: A spatial econometric analysis

被引:72
|
作者
Huang, Guobin [1 ]
Zhang, Jie [2 ]
Yu, Jian [3 ]
Shi, Xunpeng [4 ]
机构
[1] Guangzhou Univ, Sch Econ & Stat, Guangzhou 510006, Peoples R China
[2] China Railway Construct Corp, Beijing 100039, Peoples R China
[3] Cent Univ Finance & Econ, Sch Econ, Beijing 100081, Peoples R China
[4] Univ Technol Sydney, Australia China Relat Inst, Sydney, NSW 2007, Australia
基金
中国国家自然科学基金;
关键词
Transportation infrastructure; Industrial pollution; Industrial agglomeration; Urbanization; Spatial Durbin Model; ENVIRONMENTAL KUZNETS CURVE; ROAD INFRASTRUCTURE; ECONOMIC-DEVELOPMENT; AIR-POLLUTION; INVESTMENT; URBANIZATION; EMISSIONS; DEMAND; HEALTH; GROWTH;
D O I
10.1016/j.eneco.2020.104973
中图分类号
F [经济];
学科分类号
02 ;
摘要
Transportation infrastructure (TI) plays a critical role in China's economic growth, but its negative impacts on the environment have not been sufficiently addressed by the government. While studies of TI's impact on air pollution exist, there are few studies examining its impact on industrial pollution. This paper fills this gap by using the Spatial Durbin Model and balanced panel data from 280 of China's cities spanning 2003 to 2015. The results show that TI, represented by urban roads, aggravates the cities' industrial SO2 emissions, industrial soot (dust) emissions, and industrial wastewater over the long run. The channel analysis further shows that TI influences industrial pollution through industrial agglomeration, but not urbanization. TI has no direct effect on the industrial pollution of neighboring cities but does influence neighboring cities' industrial pollution through the spatial spillover effects of industrial agglomeration. Provincial policymakers and city planners should together pay more attention to the role of industrial agglomeration when designing economic policies to manage the negative effects of TI on the environment, and through cross-city cooperation develop means to reduce these effects. (C) 2020 Elsevier B.V. All rights reserved.
引用
收藏
页数:17
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