Guangdong Academy of Social Sciences, Guangzhou, China; Postdoctoral Mobile Research Station Of Applied Economics, South China Normal University, Guangzhou, China; School of Economics and Management, South China Normal University, Guangzhou, China.
School of Economics and Management, Guangdong University of Petrochemical Technology, Maoming, China.
Waste Manag. 2021 Sep;133:37-48. doi: 10.1016/j.wasman.2021.07.034. Epub 2021 Aug 4.
This study uses the Tapio elastic decoupling analysis method and an empirical model of the environmental Kuznets curve (EKC) to analyze the decoupling between municipal solid waste (MSW) generation and economic development in 285 of China's cities from 2002 to 2017. The decoupling analysis results show that the decoupling states in China's cities generally improved first and then deteriorated in 2002-2017. The proportion of cities experiencing deterioration of decoupling states had increased to 60.00% by 2014-2017, and cities with a higher economic development level generally had more serious deterioration. The empirical test results support the N-shaped EKC hypothesis of MSW, which can explain why the decoupling state changed from improvement to deterioration. The difference of the economic level of sample cities (which determines their position on EKC) can also explain the spatial heterogeneity of the decoupling state and its changes; for example, the proportion of cities that have crossed the inflection point of Tapio decoupling elasticity (the per capita GDP is 13,130.89 yuan) to enter the deterioration stage is highest (100/101) in the economically developed eastern region, and is lowest (66/75) in the economically backward western region of China. In general, the empirical results of EKC can effectively support and explain the results of decoupling analysis.
本研究采用 Tapio 弹性脱钩分析方法和环境库兹涅茨曲线(EKC)经验模型,分析了 2002-2017 年中国 285 个城市的生活垃圾(MSW)产生与经济发展之间的脱钩关系。脱钩分析结果表明,2002-2017 年中国城市的脱钩状态总体先改善后恶化。到 2014-2017 年,恶化脱钩状态的城市比例已增加到 60.00%,经济发展水平较高的城市脱钩状态恶化更为严重。经验检验结果支持了 MSW 的 N 型 EKC 假说,可以解释脱钩状态为何从改善转变为恶化。样本城市的经济水平差异(决定其在 EKC 上的位置)也可以解释脱钩状态及其变化的空间异质性;例如,在经济发达的东部地区,跨越 Tapio 脱钩弹性拐点(人均 GDP 为 13130.89 元)进入恶化阶段的城市比例最高(100/101),而在经济欠发达的西部地区最低(66/75)。总体而言,EKC 的经验结果可以有效地支持和解释脱钩分析的结果。