绿色发展是构建可持续发展经济模式的必经之路,也是加快生态文明建设的重要手段。在积极贯彻党的十九大报告绿色发展理念的当下,科学考察我国绿色经济发展的效率,并评价影响绿色发展效率的各项因素,具有必要性和现实意义。基于此,本文采用我国2012-2016年30个省份的数据,构建四阶段DEA模型,测算了我国2012-2016年30个省份的绿色经济发展效率,同时借用Tobit模型对绿色经济发展效率的影响因素进行了分析,最后利用均值聚类分析和Malmquist指数对绿色经济发展效率进行了分类。结果表明：从全国范围来看,只有北京、上海、江苏、广东、青海五省绿色发展处于中国领先水平；从均值聚类分析的结果来看,绿色经济发展效率较高的省份共有14个,其中属于我国中西部地区的省份有5个,绿色经济发展效率较低的省份仍然处于西部地区,而且中西部省份仅占绿色经济发展效率较高省份的35%,远低于东部地区省份所占比重；通过Malmquist指数分析,对中国绿色经济发展效率进行了动态纵向评价,总体上讲,中国绿色经济发展效率处于每年增长态势,但逐渐放缓。

Green development is the only way to build a sustainable economic model,which is also an important means to accelerate the construction of ecological civilization. In this way, we will actively implement that green development concept of the communist party"s ninth report, It is necessary and realistic to investigate the efficiency of China"s green economy development and evaluate the factors affecting the efficiency of green development.This paper build four stage DEA model, to measure the 30 provinces from 2012 to 2016 in China"s green economy development efficiency based on the data of 30 provinces from 2012 to 2016.Then we analyze the influence factors of green economic development efficiency by Tobit model,Finally clustering analysis and Malmquist index of green economy development the classification efficiency.The results show that: From a nationwide perspective, only Beijing, Shanghai, Jiangsu, Guangdong, and Qinghai five provinces are in China"s leading level; From the point of the results of the mean clustering analysis, there are 14 provinces with high green economy development efficiency, among which there are 5 provinces belonging to the central and western regions of China. The provinces with low green economy development efficiency are still in the western region. In addition, the central and western provinces only account for 35% of the provinces with high green economy development efficiency, far lower than the proportion of the provinces in the eastern region; By Malmquist index analysis, efficiency in the development of Chinese green economy growth each year, but gradually slowed.

2018年度河北省科学技术厅软科学研究专项项目：《京津冀流域土地资源与环境承载力的评价研究》，项目编号：18454227