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Research on China's Inter-Provincial Total Factor Productivity Under the Resources and Environment Constraints: Analysis Based on GML Index Method

机译：资源与环境约束下中国省跨总因素生产力研究：基于GML索引方法的分析

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摘要

Based on the theory of total factor productivity, the directional distance function and the GML index were used to study the changes of total factor productivity in China's 30 provinces and cities from 2004 to 2016 under the constraints of resources and environment. The study found that after incorporating resources and environmental factors into the TFP research framework, the TFP in various regions was reduced to varied degrees. TFP growth in the eastern, central, and western regions decreased by 0.02, 0.29, and 0.1 per cent, respectively, and the national average decreased by 0.1 per cent; panel data regression results show that the level of economic development, endowment structure, resource factors, and foreign investment factors have a significant negative impact on total factor productivity, while industrial structure and technological factors have significant positive effects during the selected sample period. Among them, the largest effect on total factor productivity is the industrial structure and resource factors, and the smallest is the endowment structure.
机译：基于总因素生产率的理论，定向距离功能和GML指数用于研究2004年至2016年中国30个省市的总因素生产率的变化，根据资源和环境的制约。该研究发现，将资源和环境因素纳入TFP研究框架后，各个区域的TFP降低到各种程度。东部，中央和西部地区的TFP增长分别下降0.02,0.29和0.1％，国家平均水平降低0.1％;面板数据回归结果表明，经济发展，禀赋结构，资源因素和外国投资因素的水平对总因素生产率产生了显着的负面影响，而工业结构和技术因素在选定的样品期间具有显着的积极影响。其中，对总因素生产率的最大影响是产业结构和资源因素，最小的是禀赋结构。

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