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Research on the green total factor productivity and its influencing factors based on system GMM model

机译:基于系统GMM模型的绿色总因素生产力及其影响因素研究

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The entropy method is used to calculate pollution comprehensive index reflecting provincial environmental pollution level. On this basis, the Malmquist productivity index is used to study the regional green total factor productivity (GTFP) in China, and the system generalized moment method is used to explore the influencing factors of GTFP. Firstly, the results show that the provinces with lower environmental pollution comprehensive index are mainly in the western and eastern regions, while the provinces with higher pollution comprehensive index are mainly distributed in the central inland areas. Secondly, GTFP shows an N-type upward trend, which is basically consistent with the trend of total factor productivity. The overall GTFP in the east is on the rise, which is promoted by technical efficiency. The GTFP in the central and west has declined, and the main factor restricting their improvement is technological retrogression. The expansion of production scale in the east and west can contribute to the improvement of GTFP. The central region is at a stage where the scale of returns is not economic, and it is more important for promoting technological progress. Lastly, the industrial structure can significantly inhibit the increase of GTFP, however, the energy consumption structure, FDI and pollution control investment have a significant role in improving GTFP.
机译:熵方法用于计算反映省级环境污染水平的污染综合指数。在此基础上,Malmquist生产力指数用于研究中国的区域绿色总数表生产力(GTFP),系统广泛性矩法用于探索GTFP的影响因素。首先,结果表明,环境污染综合指数较低的省份主要在西部和东部地区,而污染综合指数省份的省份主要分布在内陆地区。其次,GTFP显示了N型向上趋势,基本上与总因素生产率的趋势一致。东方的总体GTFP正在上升,这是通过技术效率推广的。中部和西方的GTFP已经下降,主要因素限制改善是技术逆出。东部和西方生产规模的扩展可以有助于改善GTFP。中央地区处于返回规模不是经济的阶段,并且对于促进技术进步更为重要。最后,产业结构可以显着抑制GTFP的增加,然而,能耗结构,外国直接投资和污染控制投资在改善GTFP方面具有重要作用。

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