%0 Journal Article
%T 中国绿色全要素生产率估算及时空演化分析<br>An Estimation and Spatiotemporal Evolution Analysis of Green Total Factor Productivity in China
%A 韩睿
%J Journal of Low Carbon Economy
%P 25-33
%@ 2324-7932
%D 2020
%I Hans Publishing
%R 10.12677/JLCE.2020.91004
%X 基于2000~2015年中国29个省市的面板数据，将能源消耗和环境污染纳入投入产出分析框架，利用DEA-Malmquist指数分析法估算了中国各省市的绿色全要素生产率及其分解项，并据此从时空演变层面分析了各省市的绿色全要素生产率的发展态势及其异质性。结果表明：我国的绿色全要素生产率的改善很大程度上依赖于绿色技术进步，并且在沿海地区和内陆地区具有差异性，在推进经济社会可持续发展时，要注重采取不同的政策措施，挖掘经济可持续发展潜力。<br />
The energy consumption and environmental pollution were taken into the input-output analysis framework and the green total factor productivity and its decomposition of Chinese provinces were estimated by using DEA-Malmquist index analysis method based on 2000 - 2015 panel data of 29 provinces and cities in China. Then, the development trend and heterogeneity of green total factor productivity in different provinces and cities from the perspective of spatio-temporal evolution were analyzed. The results show that the improvement of China’s green total factor productivity depends on the progress of green technology to a large extent, and there are differences between coastal areas and inland areas. Therefore, different policies and measures should be taken to tap the potential of sustainable economic development when promoting sustainable economic and social development.
%K 绿色全要素生产率，DEA-Malmquist指数，绿色技术进步<br>Green TFP
%K DEA-Malmquist
%K Green Technology Progress
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=34136