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对外直接投资对空气污染的空间效应分析:来自中国的证据

Analysis of the spatial effect of outward foreign direct investment on air pollution: evidence from China.

作者信息

Zhou Anhua, Li Jun

机构信息

School of Mathematics and Statistics, Hunan University of Technology and Business, Changsha, 410205, China.

Key Laboratory of Hunan Province for Statistical Learning and Intelligent Computation, Changsha, 410205, China.

出版信息

Environ Sci Pollut Res Int. 2021 Oct;28(37):50983-51002. doi: 10.1007/s11356-021-13960-0. Epub 2021 May 11.

Abstract

Outward foreign direct investment (OFDI) plays a pivotal role in the strategy to build a high-level and open economy. This research used spatial panel models and data from 30 provinces in China from 2004 to 2017 to empirically analyse the relationship between OFDI and air pollution. The results revealed that, first, China's air pollution showed two spatial clustering areas: the eastern coastal area (e.g. Zhejiang) and the north-western area (e.g. Xinjiang). Second, with the increase in OFDI, the direct effect on the concentration of respirable suspended particulate matter (PM) and sulphur dioxide (SO) was negative, and the direct effect on nitrogen dioxide (NO) was positive; however, the total effect was negative. An increase of 1% in OFDI would directly decrease the concentrations of PM and SO by 0.024% and 0.096%, respectively, while NO would directly increase by 0.061%, but the total effect of OFDI on the three air pollutants was negative. Third, the environmental Kuznets curve hypothesis existed between economic growth and SO and NO but not between economic growth and PM. The spatial panel model results revealed that the spatial spillover effects of air pollutants (i.e. PM, SO and NO) were 0.494, 0.447 and 0.314, respectively. Moreover, the impact of OFDI on air pollution had significant temporal heterogeneity. To make the results robust, this research conducted a robustness test by replacing the spatial weight matrix and dependent variables. Finally, the conclusion of this article demonstrates the importance of OFDI in improving air pollution, and we could benefit from OFDI. Our research conclusions provide an important reference for policymakers in implementing trade policies and improving air pollution.

摘要

对外直接投资(OFDI)在构建高水平开放型经济战略中发挥着关键作用。本研究运用空间面板模型和2004年至2017年中国30个省份的数据,实证分析了OFDI与空气污染之间的关系。结果表明,第一,中国的空气污染呈现出两个空间聚集区:东部沿海地区(如浙江)和西北地区(如新疆)。第二,随着OFDI的增加,对可吸入悬浮颗粒物(PM)和二氧化硫(SO)浓度的直接影响为负,对二氧化氮(NO)的直接影响为正;然而,总影响为负。OFDI每增加1%,将分别使PM和SO的浓度直接降低0.024%和0.096%,而NO将直接增加0.061%,但OFDI对这三种空气污染物的总影响为负。第三,经济增长与SO和NO之间存在环境库兹涅茨曲线假说,但经济增长与PM之间不存在。空间面板模型结果显示,空气污染物(即PM、SO和NO)的空间溢出效应分别为0.494、0.447和0.314。此外,OFDI对空气污染的影响具有显著的时间异质性。为使结果稳健,本研究通过替换空间权重矩阵和因变量进行了稳健性检验。最后,本文的结论证明了OFDI在改善空气污染方面的重要性,我们可以从OFDI中受益。我们的研究结论为政策制定者实施贸易政策和改善空气污染提供了重要参考。

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