Abstract
This research adopts the meta Dynamic Directional Distance Functions (DDF) model in order to calculate the environmental efficiency and environmental governance efficiency of China’s industrial sector from 2010 to 2017 from the overall, sub-regional, and sub-provincial perspectives and discusses the technical gaps in regional environmental pollution control and the reasons for ineffective environmental governance. The research results show that the overall level of environmental governance efficiency in China’s industrial sector is relatively high over this time period, and the group frontier calculation results have improved compared to the meta frontier. The actual technical level of the high-income group is closest to the potential technical level, and the upper-middle income group is still far from the potential technical level. The main reason for the ineffective environmental governance of the provinces in the high-income group is ineffective management, while the main reason for ineffective environmental governance of the provinces in the upper-middle-income groups is technical inefficiency. Regardless of high-income groups or upper-middle-income groups, each province’s inefficiency of environmental governance is caused by inefficiency of the input factors.
Highlights
The rapid growth of China’s environmental protection investment has strongly promoted the country’s economic and social transformation to green development
Considering energy saving, pollution treatment, and external environmental heterogeneity, Liu et al [12] adopted a modified three-stage data envelopment analysis (DEA) model to evaluate the ecological efficiency of 30 provinces and cities in China in 2015, and the results indicate that economic development factors such as level, technological innovation, environmental regulation, and industrial structure have affected the ecological efficiency of various regions
Provinces and cities showing a downward trend in environmental governance efficiency include Inner Mongolia, Zhejiang, Shandong, and Shaanxi, while provinces and cities showing an upward trend in environmental governance efficiency include Liaoning, Jilin, Jiangsu, Fujian, Hubei, Guangdong, and Chongqing
Summary
The rapid growth of China’s environmental protection investment has strongly promoted the country’s economic and social transformation to green development. Efficient treatment of industrial pollution is the key to environmental governance. In the context of China’s continuous strengthening of industrial pollution control facilities and costs and innovative pollution control technologies, this study will use the meta Dynamic DDF model to scientifically evaluate the environmental governance efficiency of the industrial sectors in 30 provinces and cities in China from 2010 to 2017. The meta DDF distance function model makes the evaluation results more accurate; third, the various inputs and a detailed analysis of the output elements can clearly understand the specific reasons for the insufficient efficiency of environmental pollution control in the industrial sector to formulate targeted improvement measures.
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