Abstract
At present, China's haze is becoming more and more serious. How to reduce haze emission is an urgent problem in China's environmental governance. This paper uses the SBM-Undesirable model, adopting 5 inputs indexes(coal, oil, gas, labor and capital), and 2 outputs indexes（GDP and PM2.5 emissions）as expected output and unexpected output respectively, to calculate the emission efficiency of PM2.5 in China's 29 provinces. Based on the efficiency evaluation results of SBM-Undesirable model, the reasons for the inefficiency of PM2.5 emission are analyzed. The redundancy rate of investment, the insufficient rate of expected output and the redundancy rate of undesirable outputs are calculated. Results showed that: (1) Most provinces with high PM2.5 emission efficiency are concentrated in the eastern region, while the PM2.5 emission efficiency in the central and western regions is relatively low. (2) The redundancy rate of input variables and undesirable output of the eastern region is lower than that of the western and based on SBM-Undesirable model central regions. This is likely to have a great relationship with the economic development and the high level of technology in the eastern region. This study provides a reference for reducing the haze theory and providing empirical support for the government's haze reduction.
Highlights
In recent years, large-scale haze weather in China has increasingly aroused the high attention of the society at home and abroad to the air pollution problem
If we can use quantitative analysis tools to study the emission reduction indicators of air pollutants from the perspective of management, on the one hand, we do not need to clarify the source of air pollution in the short term and its forming process, on the other hand, we can provide empirical support for the emission reduction indicators and their ranges regulated by the government, which undoubtedly has a good reference value and practical significance[2
This paper aims to treat the undesired output PM2.5 as the input index, took China’s provinces as the decision-making unit, took PM2.5 as the representative index of haze, used the data envelopment model (DEA) evaluation method to evaluate the PM2.5 emission efficiency of each province, measured the input redundancy rate and the undesired output redundancy rate of each province, so as to provide new ideas for energy conservation and emission reduction work concerning China’s air pollution
Summary
Large-scale haze weather in China has increasingly aroused the high attention of the society at home and abroad to the air pollution problem. In such a context, how to take effective measures to meet the challenges brought by atmospheric pollution such as haze has become an important issue of common concern for government departments and academia [1]. This paper aims to treat the undesired output PM2.5 as the input index, took China’s provinces (autonomous regions, municipalities directly under the central government) as the decision-making unit, took PM2.5 as the representative index of haze, used the data envelopment model (DEA) evaluation method to evaluate the PM2.5 emission efficiency of each province, measured the input redundancy rate and the undesired output redundancy rate of each province, so as to provide new ideas for energy conservation and emission reduction work concerning China’s air pollution. When the efficiency of the decision unit is not 1 (ie. p* < 1), referring to the research by Cooper et al, based on the relaxation variables, the source of the inefficient loss considering the undesired output can be decomposed into: 2.1 Radial movement
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