我国城市绿色经济效率综合测度及时空分异——基于DEA-BCC和Malmquist模型  

Comprehensive Evaluation of Cities' Green Economy Effi ciency and Spatial and Temporal Differentiation in China: Based on the DEA-BCC and Malmquist Model

作　　者：王晓云[1] 魏琦[1] 胡贤辉[2] 

机构地区：[1]兰州理工大学经济管理学院,甘肃兰州730050 [2]湖南师范大学资源与环境科学学院,湖南长沙410081

出　　处：《生态经济》2016年第3期40-45,共6页Ecological Economy

基　　金：国家自然科学基金项目"我国电力行业碳排放权交易体系构建的实验研究""碳排放权交易体系中企业违约行为与监管机制构建的实验研究"(71203082;71563026);国家社会科学基金青年项目"中部地区耕地保护的经济补偿机制难点问题研究"(10CJY027);甘肃省哲学社会科学规划项目"甘肃省人口城镇化和土地城镇化协调发展研究"(YB035)

摘　　要：关注经济发展的环境代价,综合考虑生产要素投入和环境成本的经济效率值即绿色经济效率。文章以劳动、资本、土地、水资源、能源和环境成本作为经济的投入指标,以地区GDP作为产出指标,选用DEA-BCC和DEAMalmquist模型,对我国285个地级及以上城市2004~2012年的绿色经济效率进行实证测度及时空分异比较研究。结论表明,技术进步是导致城市绿色经济效率提升的主要驱动因素;对全国八大经济区域进行比较发现,各区域城市的动态效率和静态效率与区域经济发展水平均未存在直接联系,而且区域的动态效率与静态效率排名存在差异。It is necessary to watch the environmental costs for economic development, to comprehensively consider the production factors inputs and economic efficiency value which focuses on the environmental cost of economy development. This paper takes labor, capital, land, water resources, energy and environmental cost as the input indexes of economy, and takes GDP as output indicators, uses DEA-BCC and DEA-Malmquist model, makes empirical measure and studies on spatial and temporal differentiation of green economy efficiency of China＇s 285 cities from 2004 to 2012. The conclusion shows that the technological progress is the main driving factor to enhance the city green economy efficiency. After we make comparison of eight economic regions, we found that region dynamic efficiency and static efficiency are not associated with the level of regional economic development, and the dynamic and static efficiency ranking are different in each region.

关 键 词：DEA Malmquist效率指数 绿色经济效率 八大经济区域 

分 类 号：F293[经济管理—国民经济] F062.2