School of Economics & Management, Nanchang University, Nanchang, 330031, China; School of Economics, Zhejiang University of Finance and Economics, Hangzhou, 310018, China.
School of Urban and Regional Science, Institute of Finance and Economics Research, Shanghai University of Finance and Economics, Shanghai, 200433, China.
J Environ Manage. 2020 Aug 15;268:110667. doi: 10.1016/j.jenvman.2020.110667. Epub 2020 May 5.
The research on SO pollution in China has been hotly debated over the past decades. Different from the existing studies, this work employs satellite observed SO columns from 2005 to 2016 and applies a spatial econometric approach to investigate the socio-economic influencing factors of SO pollution of 270 prefecture-level cities in China. The findings are as follows. (1) SO pollution over China exhibits a significant and positive spatial autocorrelation. (2) The most polluted area is concentrated on the North China Plain. However, SO pollution over China has been reduced gradually during the sample period, implying that overall environmental quality in China has been substantially improved. (3) Besides, the results of spatial econometric models are not in support of "pollution haven hypothesis". On the contrary, the pollution halo effect of foreign direct investment works well and contributes to reducing SO pollution in China. Moreover, we find that urban economic levels and innovative capability are negatively correlated with SO pollution, indicating that economic growth and an increase in innovation can help improve environmental quality. On contrast, the share of the secondary industry, urbanization and transportation are found to have positive impacts, indicating that they are three main contributors to SO pollution in China.
中国的 SO 污染研究在过去几十年中一直备受争议。与现有研究不同,本研究利用 2005 年至 2016 年卫星观测到的 SO 柱,并采用空间计量经济学方法,调查了中国 270 个地级市 SO 污染的社会经济影响因素。研究结果如下:(1)中国的 SO 污染表现出显著的正空间自相关。(2)污染最严重的地区集中在华北平原。然而,中国的 SO 污染在样本期间逐渐减少,这意味着中国的整体环境质量得到了显著改善。(3)此外,空间计量经济学模型的结果不支持“污染避难所假说”。相反,外国直接投资的污染光环效应很好,有助于减少中国的 SO 污染。此外,我们发现城市经济水平和创新能力与 SO 污染呈负相关,这表明经济增长和创新增加有助于改善环境质量。相比之下,第二产业、城市化和交通的份额则被发现具有积极的影响,这表明它们是中国 SO 污染的三个主要贡献者。