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我国省域全要素能源效率研究——基于三阶段全局UHSBM模型 被引量:18

China’s Total Factor Energy Efficiency Evaluation : Based on Three Stage Global Undesirable-Hybrid-Slack-Based-Model
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摘要 采用三阶段全局UHSBM模型,在考虑污染物排放与能源要素投入之间不可分性的基础上对我国省域全要素能源效率进行测算,并将当期SBM模型、当期SBM-Undesirable模型、当期UHSBM模型所得结果与其进行了对比分析。研究发现:我国省域全要素能源效率整体存在明显的持续上升趋势,但各区域之间差异较大;环境规制强度、对外开放程度的增强有助于全要素能源效率的提升,第二产业比重、煤炭消费比重的增加则相反,国有资本占比的提升同时存在两方面影响;排除环境因素和随机因素的影响后,我国绝大部分省份全要素能源效率都有所下降,同时区域间差距进一步拉大;忽视非期望产出、投入产出间的不可分性的影响以及在面板数据中使用当期DEA方法都会导致对全要素能源效率的高估。 In this paper, we consider the inseparability between undesirable outputs and energy inputs, and use both the Global Undesirable-Hybrid-Slack-Based-Model and three-stage DEA model to calculate the total-factor energy efficiency of 30 provinces in China. Meanwhile, the research results of SBM, SBM with undesirable outputs and Undesirable-Hybrid-Slack-Based-Model were compared with our research results. The conclusions show that: The total-factor energy efficiency in China shows a distinct and sustained upward trend, but there are great differences among regions. Enhancing environmental regulation and openness will contribute to the improvement of total factor energy efficiency, the increase of the proportion of secondary industry and coal consumption will have negative effects. At the same time, the increase of the proportion of state-owned capital will have complicated effects. After external environmental factors and random factors are removed, the total-factor energy efficiency decreases, and the gap between regions in China widen further.Ignoring the impact of undesirable outputs, the inseparability between undesirable outputs and energy inputs, and using current DEA method in panel data will lead to overestimation of total factor energy efficiency.
作者 彭树远 PENG Shu-yuan(School of Management,China University of Mining&Technology,Beijing 100083,China)
出处 《经济问题》 CSSCI 北大核心 2020年第1期11-19,共9页 On Economic Problems
关键词 全要素能源效率 非期望混合距离SBM模型 三阶段DEA方法 total-factor energy efficiency Undesirable-Hybrid-Slack-Based-Model three-stage DEA
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