Calculation And Spatial Statistical Analysis Of China's Provincial Green Total Factor Productivity

As a tool index for measuring the quality of economic growth,the estimated measurement of traditional Total Factor Productivity(TFP)fails to take into account the insufficiency of energy supply and the constraints of limited environmental carrying capacity.However,ignoring the problems of energy consumption and environmental pollution in the process of economic development will not only make us lack a real understanding of China's economic development over the past few decades,but also mislead policy makers to make unreasonable decisions.In view of this,based on the traditional TFP measurement,this paper introduces energy supply and environmental pollution,and calculates green TFP that can more accurately measure the economic development status,and attempts to explore the differences and influencing factors of green TFP among provinces from the perspective of spatial region.The research content of this paper is mainly divided into two parts:(1)Based on the non-parametric DEA method,we construct the non-radial and non-angle SBM distance function,and combine the Malmquist index method to calculate the green TFP among these provinces in China from 2004 to 2016 and further decompose exponentials;By contrasting and analysing green TFP and traditional TFP at the provincial and regional levels,we make a deep analysis of the internal forces that trigger the growth of green TFP.(2)We use spatial statistical methods to test whether the green TFPs of various provinces and cities in China have spatial auto-correlation and spatial dependence among them.And on this basis we build a spatial econometric model to study the external factors that affect the growth of green TFPs of these provinces in China.The main conclusions of this paper are:(1)During 2004 and 2016,there is a significant difference in China between the green TFP and the traditional TFP.And the gap among those economic regions is obvious.The former trend is consistent with the economic trend,which can more accurately reflect the state of green economy development among these provinces.(2)The main driving force for the rise of green TFP in these provinces of China is the progress of green technology,while the effect of green technology efficiency on green TFP is not obvious.(3)During the research period,there is significant positive spatial auto-correlation in China's inter-provincial green TFP,that is,provinces with high green TFP are adjacent to other provinces with high green TFP.(4)The level of economic development,the level of foreign capital utilization,the intensity of energy consumption,the introduction of foreign technology and the environmental regulation of government have positively promoted the green TFP in China's provinces.The investment of domestic research toward China's interprovincial green TFP has a less significant negative inhibitory effect.And the industrial structure and the trade openness have had a significant negative impact on green TFP.Based on above conclusions,this paper proposes targeted political suggestions from the aspects of scientific and technological innovation,industry structure adjustment and energy structure optimization,and contributes to the coordinated and sustainable development of China's green economy.