城市绿色经济效率动态评价及影响因素——基于285个地级以上城市数据的分析  

Dynamic Evaluation of Urban Green Economy Efficiency and Its Influencing Factors:Based on Data of 285 Cities

作　　者：王晓云[1] 魏琦[1] 杨秀平[1] 

机构地区：[1]兰州理工大学经济管理学院,甘肃兰州730050

出　　处：《生态经济》2017年第2期68-71,共4页Ecological Economy

基　　金：国家自然科学基金地区项目"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"(71563026);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：将环境成本作为投入指标引入经济效率的分析框架,选用DEA-Malmquist模型对我国285个地级以上城市2004-2013年的绿色经济效率进行动态评价。然后选用面板混合估计模型,对动态效率的影响因素进行分析。结论表明,城市绿色经济效率持续提升的主要驱动力量是技术进步;Malmquist指数与城市规模呈现"U"型曲线关系;与第二产业比重、第三产业比重、地区生产总值增长率、私营和个体经济比重、职工工资水平呈显著正相关;与经济发展水平、外资利用规模呈显著负相关。In this paper the environmental cost is introduced into the analysis framework of economic efficiency as the input index, using DEA-Malmquist model, makes dynamic evaluation of green economy efficiency of China＇s 285 cities from 2004 to 2013.Then establishes the panel mixed estimation model, and analyzes the influencing factors of dynamic efficiency. The conclusion shows that the technological progress is the main driving factor to enhance the city grcen economy efficiency. Malmquist index presents a U-shaped curve relationship with the size of the city. The proportion of secondary industry and tertiary industry, GDP growth rate, the proportion of private and individual economy, wages of the employees shows a significant positive correlation to Malmquist index. And the economic development level, foreign capital scale show a significantly negative correlation to Malmquist index.

关 键 词：绿色经济效率 MALMQUIST指数 动态效率 混合估计模型 影响因素 

分 类 号：F293[经济管理—国民经济] F062.2