全要素生产率
索引(排版)
可持续发展
中国
随机前沿分析
空间分析
生产力
马尔奎斯特指数
空间相关性
技术变革
面板数据
边疆
绿色发展
经济地理学
经济
计量经济学
统计
数学
地理
生产(经济)
计算机科学
经济增长
法学
考古
宏观经济学
万维网
政治学
作者
Haoran Wang,Herui Cui,Qiaozhi Zhao
标识
DOI:10.1016/j.jclepro.2020.125624
摘要
Green technology innovation can greatly decline the environmental effects arising from fossil energy consumption. It is an essential way to improve green total factor productivity (GTFP) and achieve China’s goal of sustainable development. In this paper, stochastic frontier analysis and Malmquist index methods are applied to estimate provincial GTFPs of China during 2000–2016. Then, Spatial Durbin model is used to find out their spatial effect of green technology innovation on green total factor productivity from regional perspective. Empirical results are as follows: Firstly, it shows an upward trend on the whole while GTFP of eastern region is the highest and that of western region is the lowest. Moran index of GTFPs varies such dynamic trends as ‘upward→downward→upward’. Moreover, it is significantly positive and still at the lower-level range. ‘High-High’ and ‘Low-Low’ are the dominant spatial clustering types. This indicates that more attention should be paid to spatial arrangements. Secondly, based on the analysis results of Spatial Durbin model, green technology innovation has significant positive effect on its own GTFP variation but negative effects on that of its neighbors during the research period. Thirdly, based on three subsamples results, green technology innovations of eastern and central regions have negative effects on their GTFPs while having positive effects on that of western provinces. Findings can provide spatial references for central government in the policy regarding accelerating high-quality green development.
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