基于数据包络分析方法的辽宁省工业节能减碳效率

doi:10.13287/j.1001-9332.201609.002

应用生态学报 ›› 2016, Vol. 27 ›› Issue (9): 2925-2932.doi: 10.13287/j.1001-9332.201609.002

基于数据包络分析方法的辽宁省工业节能减碳效率

王丽^1,2, 郗凤明^1*, 李金鑫³, 刘丽丽^1,2

1中国科学院沈阳应用生态研究所, 沈阳 110016;
2中国科学院大学, 北京 100049;
3中国石油大庆炼化公司, 黑龙江大庆 163411

收稿日期:2016-01-05 发布日期:2016-09-18
通讯作者: * E-mail: xifengming@iae.ac.cn
作者简介:王丽,女,1990年生,硕士研究生.主要从事碳排放、景观生态研究. E-mail: wangli2014@mails.ucas.ac.cn
基金资助:
国家自然科学基金项目(41473076)和中国清洁发展机制(CDM)基金赠款项目(2013051,2013124)资助

Efficiency of industrial energy conservation and carbon emission reduction in Liaoning Pro-vince based on data envelopment analysis (DEA)method.

WANG Li^1,2, XI Feng-ming^1*, LI Jin-xin³, LIU Li-li^1,2

1Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China;
2University of Chinese Academy of Sciences, Beijing 100049, China;
3PetroChina Daqing Refining & Chemical Company, Daqing 163411, Heilongjiang, China

Received:2016-01-05 Published:2016-09-18
Contact: * E-mail: xifengming@iae.ac.cn
Supported by:
This work was supported by the National Natural Science Foundation of China (41473076) and the Grant China Clean Development Mechanism (CDM) Projects (2013051, 2013124)

摘要/Abstract

摘要： 以辽宁省2003—2012年39个行业作为独立的决策单元,综合考虑经济、能源和环境效益,结合方向距离函数和径向数据包络分析(DEA)方法对各工业行业节能减碳效率进行测算和分解,核算了各工业行业的CO₂排放,并将CO₂作为一种非期望产出引入到节能减碳效率模型中.结果表明: 研究期间,辽宁省工业行业节能减碳效率具有明显的行业异质性;辽宁省工业节能减碳效率总体不高,但呈现上升趋势;提高纯技术效率和规模效率是提高工业节能减碳效率的主要措施,尤其是提高规模效率.为了提高辽宁省各行业节能减碳效率,辽宁省应加快调整产业结构,鼓励发展低碳排放高效益的产业;提高科技水平,合理调整产业规模;优化能源结构,推进可再生能源和清洁能源的开发.

Abstract: Taking 39 industries as independent decision-making units in Liaoning Province from 2003 to 2012 and considering the benefits of energy, economy and environment, we combined direction distance function and radial DEA method to estimate and decompose the energy conservation and carbon emissions reduction efficiency of the industries. Carbon emission of each industry was calculated and defined as an undesirable output into the model of energy saving and carbon emission reduction efficiency. The results showed that energy saving and carbon emission reduction efficiency of industries had obvious heterogeneity in Liaoning Province. The whole energy conservation and carbon emissions reduction efficiency in each industry of Liaoning Province was not high, but it presented a rising trend. Improvements of pure technical efficiency and scale efficiency were the main measures to enhance energy saving and carbon emission reduction efficiency, especially scale efficiency improvement. In order to improve the energy saving and carbon emission reduction efficiency of each industry in Liaoning Province, we put forward that Liaoning Province should adjust industry structure, encourage the development of low carbon high benefit industries, improve scientific and technological level and adjust the industry scale reasonably, meanwhile, optimize energy structure, and develop renewable and clean energy.

王丽, 郗凤明, 李金鑫, 刘丽丽. 基于数据包络分析方法的辽宁省工业节能减碳效率[J]. 应用生态学报, 2016, 27(9): 2925-2932.

WANG Li, XI Feng-ming, LI Jin-xin, LIU Li-li. Efficiency of industrial energy conservation and carbon emission reduction in Liaoning Pro-vince based on data envelopment analysis (DEA)method.[J]. Chinese Journal of Applied Ecology, 2016, 27(9): 2925-2932.

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基于数据包络分析方法的辽宁省工业节能减碳效率

Efficiency of industrial energy conservation and carbon emission reduction in Liaoning Pro-vince based on data envelopment analysis (DEA)method.

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