School of Public Policy and Administration, Chongqing University, Chongqing, 400044, China.
School of International Business, Southwestern University of Finance and Economics, Chengdu, 611130, China.
J Environ Manage. 2022 Aug 15;316:115198. doi: 10.1016/j.jenvman.2022.115198. Epub 2022 May 7.
With rapid urbanization and industrialization, environmental pollution caused by such activities has drawn much attention due to its adverse impacts on environmental quality and public health. Therefore, under the current background of China's ecological civilization construction, promoting the precise and scientific treatment of environmental pollution holds great significance. This paper proposes an improved perpetual inventory method to systematically measure the capital stock of urban and industrial pollution control. The efficiency of urban and industrial pollution control is measured by adopting the global data envelopment analysis (DEA) model. Then, the influencing factors of pollution control efficiency are empirically analyzed by using the spatial Tobit regression model. The results reveal that, first, the growth rate of the capital input scale of urban pollution control is greater than that of industrial pollution control, and the spatial distribution of capital input is unbalanced. Second, the efficiency of urban and industrial pollution control from 1991 to 2019 was generally low. The current efficiency values of urban and industrial pollution control are less than 0.2 and 0.5, respectively, indicating that urban and industrial pollution control are far from efficient. Third, the efficiency of urban and industrial pollution control is significantly positively related to the level of urbanization and industrialization, has a U-shaped relationship with the economic development level, and has heterogeneous effects on technology, energy intensity, government influence and foreign trade. On this basis, we provide constructive suggestions for optimizing the performance of pollution control.
随着城市化和工业化的快速发展，这些活动造成的环境污染因其对环境质量和公众健康的不利影响而备受关注。因此，在中国生态文明建设的当前背景下，推动环境污染的精准科学治理具有重要意义。本文提出了一种改进的永续盘存法，以系统地衡量城市和工业污染控制的资本存量。采用全局数据包络分析（DEA）模型来衡量城市和工业污染控制的效率。然后，利用空间 Tobit 回归模型对污染控制效率的影响因素进行实证分析。结果表明：首先，城市污染控制的资本投入规模增长率大于工业污染控制，资本投入的空间分布不平衡。其次，1991 年至 2019 年期间，城市和工业污染控制的效率普遍较低。城市和工业污染控制的当前效率值分别小于 0.2 和 0.5，表明城市和工业污染控制远非有效。第三，城市和工业污染控制的效率与城市化和工业化水平显著正相关，与经济发展水平呈 U 型关系，对技术、能源强度、政府影响和对外贸易具有异质性影响。在此基础上，我们为优化污染控制绩效提供了建设性的建议。
