城市工业大气污染治理效率及动态分析--基于三阶段超效率SBM-DEA模型

Efficiency and Dynamic Analysis of Urban Industrial Air Pollution Control-Based on Three-stage Super-efficiency SBM-DEA Model

区域城市大气污染联合治理是国家环境治理的重点关注内容。基于京津冀及周边“2+26”个城市的面板数据,对28个城市的工业大气污染治理效率进行测算,并分析其动态变化。为避免外界环境因素和随机误差因素对效率结果的影响,使用基于传统DEA效率测算模型改进的三阶段超效率SBM-DEA模型。研究发现,这二者影响因素对工业大气污染治理效率的结果有显著影响,剔除二者影响之后,28个城市的污染治理效率降低,其中技术效率相对规模效率较高,动态视角下,大部分城市的污染治理效率呈现逐年增长趋势。环境因素中第二产业占总产值的比重对投入冗余影响最大,区域城市应该进行产业结构优化升级,促进经济增长的同时,有效提高污染治理效率。

Joint control of regional urban air pollution is the focus of national environmental governance.Based on panel data of 2+26 cities in The Beijing-Tianjin-Hebei region and its surrounding areas,the efficiency of industrial air pollution control in 28 cities was calculated and its dynamic changes were analyzed.In order to avoid the influence of external environmental factors and random error factors on efficiency results,the improved three-stage SUPER-efficiency SBM-DEA model based on traditional DEA efficiency measurement model was used.It is found that the two influencing factors have a significant impact on the efficiency of industrial air pollution control.After removing the two influences,the pollution control efficiency of 28 cities decreases,among which the technical efficiency is higher than the scale efficiency.From the dynamic perspective,the pollution control efficiency of most cities shows a trend of annual growth.Among environmental factors,the proportion of secondary industry in total output value has the greatest impact on input redundancy.Regional cities should optimize and upgrade industrial structure to promote economic growth and effectively improve pollution control efficiency.