Li Jiao, Ding Tao, He Weijun
School of Economics, Hefei University of Technology, Hefei, 230601, Anhui, China.
School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China.
Environ Sci Pollut Res Int. 2022 Nov;29(51):77565-77579. doi: 10.1007/s11356-022-20780-3. Epub 2022 Jun 9.
PM2.5 is a bad output of China's improved industrialization and rapid economic development, which seriously threatens people's health and greatly hinders the sustainable economic development. Studying the socio-economic driving factors of PM2.5 emissions is of great significance for reducing air pollution and realizing green development. Therefore, based on the simultaneous consideration of space technology differences and time technology progress, this paper constructs an index decomposition analysis-production-theoretical decomposition analysis decomposition model under the global meta-frontier-production theory. Then, we decompose the PM2.5 emission concentration of 30 provinces in China from 2005 to 2018 into nine driving factors and discuss the impact of different factors from the national, regional, and provincial levels. The results reveal that economic activity is still the main factor to promote the increase of PM2.5 emission, but its effect decreases, while the inhibitory effect of catch-up effect on PM2.5 concentration increases gradually. In addition, economic activities have the greatest impact on the East China, while the time catch-up effect has a more significant impact on the Central and Western China. Moreover, the influence of energy intensity effect, space technology catch-up effect, and time technology catch-up effect is gradually increasing, which have become important factors to inhibit the PM2.5 emission. Based on the above results, we put forward relevant policy suggestions.
PM2.5是中国工业化进程加快和经济快速发展的不良产物,严重威胁着人们的健康,极大地阻碍了经济的可持续发展。研究PM2.5排放的社会经济驱动因素对于减少空气污染和实现绿色发展具有重要意义。因此,本文基于空间技术差异和时间技术进步的同时考量,在全球元前沿生产理论下构建了指数分解分析-生产-理论分解分析分解模型。然后,将2005年至2018年中国30个省份的PM2.5排放浓度分解为九个驱动因素,并从国家、区域和省级层面探讨不同因素的影响。结果表明,经济活动仍是推动PM2.5排放增加的主要因素,但其作用在减弱,而追赶效应抑制PM2.5浓度的作用逐渐增强。此外,经济活动对华东地区影响最大,而时间追赶效应在中西部地区影响更为显著。而且,能源强度效应、空间技术追赶效应和时间技术追赶效应的影响在逐渐增强,已成为抑制PM2.5排放的重要因素。基于上述结果,我们提出了相关政策建议。