School of Management, China University of Mining and Technology, No.1 Daxue Road, Quanshan District, Xuzhou, 221116, China.
SUNGROW Co. Ltd, Hefei, 230000, China.
Environ Sci Pollut Res Int. 2020 Feb;27(5):4786-4798. doi: 10.1007/s11356-019-06984-0. Epub 2019 Dec 16.
This paper uses static and dynamic panel regression to measure the effect of energy consumption on air quality of 20 heavily polluted cities in the Yangtze River Delta of China. Further, the influence of the relevant policies on the relationship between energy consumption and air quality is tested with the method of regression discontinuity. This study concluded the following: (1) When energy consumption structure, industrial structure, and energy efficiency are taken into account, the effect coefficient of energy consumption on air quality is 0.4579, meaning that controlling energy consumption tends to improve the air quality positively. (2) The emission of sulfur dioxide is characterized by inertia; the annual increase in sulfur dioxide emissions in the previous year will lead to an increase of 0.427% in the annual emissions. (3) The relationship between energy consumption and air quality of different cities varies, and these cities can be divided into four categories. (4) The relevant policies for improving air quality are effective to some extent. This study indicates that the Yangtze River Delta should focus on actively changing the mode of energy development.
本文运用静态和动态面板回归方法,测度了能源消费对中国长三角地区 20 个重污染城市空气质量的影响。进一步,本文利用回归间断点法检验了相关政策对能源消费与空气质量之间关系的影响。研究结论如下:(1)在考虑能源消费结构、产业结构和能源效率的情况下,能源消费对空气质量的影响系数为 0.4579,表明控制能源消费有利于空气质量的正向改善。(2)二氧化硫排放具有惯性,上一年二氧化硫排放量的增加会导致当年排放量增加 0.427%。(3)不同城市的能源消费与空气质量关系存在差异,可以将这些城市分为四类。(4)改善空气质量的相关政策在一定程度上是有效的。本研究表明,长三角地区应积极转变能源发展方式。