Inputs optimization to reduce the undesirable outputs by environmental hazards: a DEA model with data of PM2.5 in China
Inputs optimization to reduce the undesirable outputs by environmental hazards: a DEA model with data of PM2.5 in China
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通过优化投入来减少环境危害造成的不良产出：基于中国 PM2.5 数据的 DEA 模型
DOI：
10.1007/s11069-017-3105-y
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Gao Ge
中科院分区：
文献类型：
--
作者：
Wu Xianhua;Chen Yufeng;Guo Ji;Gao Ge
目前，中国的雾霾天气日益严重。中国在环境治理中迫切需要减少雾霾排放。一种可行的方法是通过优化输入源来控制雾霾的排放。本文提出了一种通过调整输入指标来控制雾霾排放的创新方法。通过SO2排放、NOX排放、烟尘排放、煤炭消费、汽车保有量、资本、劳动力等7个投入指标，以及GDP（理想产出）和PM2.5排放（不理想产出），计算中国29个省份投入指标的产出效率。结果表明，在PM2.5排放量与GDP相等的情况下，输入指标冗余度过高。输入指标除劳动力外，冗余率较高。烟尘排放、二氧化硫排放和煤耗的冗余率较高，分别为78%、67.18%和61.14%。此外，除了投入产出效率最优的北京、天津和上海外，其他省份的投入都是冗余的。宁夏、贵州、山西等中西部省份冗余较大。本文提出的思路和方法可以为未来减少不良产出投入指标的研究提供借鉴，实证结果可以为中国PM2.5减排提供实证支持。
Currently, the hazy weather in China is increasingly serious. It is urgent for China to reduce haze emissions in environmental governance. A feasible way is to control haze emissions by optimizing the input sources. This paper proposed an innovative method in which the haze emission is controlled by readjusting input indicators. The output efficiency of input indicators in 29 provinces in China is calculated through 7 input indicators (namely, SO2 emissions, NOX emissions, soot emissions, coal consumption, car ownership, capital, and labor force) as well as GDP (desirable output) and PM2.5 emissions (undesirable output). The results showed that the input indicators are excessive in redundancy on condition that PM2.5 emissions and GDP are equal. The input indicators are high in redundancy rate except labor force. The redundancy rates of soot emissions, SO2 emissions and coal consumption are relatively high and, respectively, are 78, 67.18, and 61.14%. Moreover, all the provinces are redundant in inputs except Beijing, Tianjin, and Shanghai which are optimal in input–output efficiency. The redundancy of middle and western provinces, such as Ningxia, Guizhou, and Shanxi, is relatively large. The ideas and methods proposed in this paper can provide a reference for the future researches that aim to reduce the input indicators of undesirable output, and the empirical results can provide empirical support for the PM2.5 abatement in China.
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发表时间：
2015-12-01
影响因子：
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作者：
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DOI：
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影响因子：
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DOI：
10.1080/17477891.2016.1211505
发表时间：
2017-01
期刊：
Environmental Hazards
影响因子：
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作者：
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