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基于碳排放约束的中国省际生态效率评价与驱动力研究
刘丙泉,尚梦芳,李永波
(中国石油大学 经济管理学院,山东 青岛 266580)
摘要:
在构建生态效率评价指标体系的基础上,应用熵值法将多项环境污染指标综合为单一非期望产出指标,应用数据包络分析(DEA)和环境生产技术,构建考虑碳排放约束的省际全要素生态效率评价模型,结合Malmquist指数及其分解对中国2006—2012年30个省市自治区生态效率进行实证研究。结果表明,考察期内中国生态效率总体呈现缓慢增长,区域差异显著,大多数省市自治区生态效率与经济增长密切相关;诸多省市自治区生态效率的提升主要源于资源配置,技术进步驱动并不显著,但10余省市自治区技术进步对生态效率的驱动作用正在增强。
关键词:  生态效率  数据包络分析  Malmquist指数
DOI:
分类号:F205;X24
基金项目:国家社会科学基金项目(14BJL045);教育部人文社会科学研究青年基金项目(13YJC790090);青岛市社会科学规划研究项目(QDSKL140415);山东省高等学校人文社会科学研究项目(J14WG57);中央高校基本科研业务费专项资金资助项目(15CX04027B)
Study on Provincial Eco-efficiency Assessment and Driving Force in China Based on Carbon Emission
LIU Bingquan, SHANG Mengfang, LI Yongbo
(School of Economics & Management, China University of Petroleum, Qingdao, Shandong 266580, China)
Abstract:
The paper brings forward a model to evaluate provincial eco-efficiency in total factor perspective with consideration of carbon emission constraints, which applies entropy value method to integrate many environmental pollution indices into a single undesirable output index, further applies data envelopment analysis (DEA) and environmental production technology. The paper takes an empirical research in 30 provinces in China in 2006—2012 via combining the Malmquist index with its decomposition. The result shows that the Chinese eco-efficiency overall presents the slow growth in the study period, regional differences are still significant, the eco-efficiency of most cities is closely related to economic growth. It also shows that the eco-efficiency promotion of many cities is derived from the allocation of resources and technology progress is not significant, but more than 10 cities driving action of technological progress on the eco-efficiency is enhanced.
Key words:  eco-efficiency  Data envelopment analysis (DEA)  Malmquist index