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基于超效率DEA模型的区域节能减排效果测度——以湖南省为例 被引量:4

Quantitative Assessment of Regional Low Carbon Efficiency Based on Super Efficiency DEA Model
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摘要 节能减排效果测度是检验区域经济发展质量的重要标准。将超效率DEA模型引入到区域节能减排效果测度当中,利用湖南省14个市州的实际数据,就"十二五"以来湖南各市州节能减排效果进行具体测度,并利用Malmquist指数模型计算其效率变动值,同时利用多元回归分析检验影响区域节能减排效果的因素。研究认为,湖南省各市州节能减排效果整体情况较好,但也表现出一定的地区差异,而产业高级化程度以及节能减排政策扶持力度是关键性的影响原因,因而新阶段应继续通过加大节能减排政策扶持力度、提高产业高级化程度以及强化相关体制机制保障等多个途径推进节能减排。湖南省的示例对于其他区域的节能减排具有示范意义。 The effect of energy conservation and emissions reduction measure is the important standard for testing quality of regional economic development. In this paper, the super efficiency DEA model is introduced to measure the effect of energy saving and emission reduction, using the actual data of 14 cities in Hunan province. Effect of energy conservation, emis- sions reduction and Malmquist index model are used to calculate the changes in the efficiency value. At the same time the multiple regression analysis is used to examine the effects of the impact of regional energy conservation and emissions reduc- tion factor. Research suggests that the effect of energy conservation and emissions reduction in Hunan province is in a good situation, but also shows some regional differences, and high - level industry level and energy conservation and emissions reduction policy support are critical. In a new stage, therefore, policy support for energy conservation and emissions reduc- tion should be intensified; the high -level industry level should be improved; the relevant systems and mechanisms should be strengthened to ensure more than one way to promote energy conservation and emissions reduction. The example of Hu- nan province can provide good enlightenment to other regions.
出处 《科技管理研究》 CSSCI 北大核心 2016年第13期255-259,266,共6页 Science and Technology Management Research
基金 湖南省社会科学基金重大招标项目"按照绿色化要求推进我省产业结构调整与布局的思路和对策研究"(15ZDA06) 湖南省社会科学基金项目"绿色化发展战略下湖南工业竞争力评价及转型策略研究"(15YBA411) 湖南省科技厅软科学研究计划项目"生态文明制度建设背景下湖南省林业碳汇市场化融资机制研究"(2015ZK3039) 中南林业科技大学引进高层次人才科研启动基金项目"战略性新兴产业产能过剩的治理对策研究"(2014YJ005)
关键词 区域节能减排效果 测度模型 实证分析 regional energy conservation and emissions reduction effect measure model empirical analysis Hunan
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