不同类型资本偏向性技术进步对碳排放效率的影响

Effects of different types of capital-biased technological progress on carbon emission efficiency

摘要:

文章基于2007～2018年中国省际面板数据，通过构建Super-SBM模型对我国30个省（市）区域（西藏及港澳台除外）的碳排放效率进行测算，利用GML指数对碳排放效率的动态变化及其构成进行测度，并进一步采用Tobit回归识别不同类型的资本偏向性技术进步对碳排放效率影响。研究发现：①我国大多数地区碳排放效率较低，未达到有效水平，且碳排放效率值均有不同程度下降。②碳排放效率变化主要是由技术效率变化引起的。③ICT资本偏向性技术进步和人力资本偏向性技术进步对30个省域整体、能源富集区碳排放效率的提升具有显著抑制作用，对能源贫乏区碳排放效率的提升具有显著促进作用。

Abstract:

This paper selects from 2007 to 2018 provincial panel data to explore the impact of different types of capital-biased technological progress on carbon emission efficiency, by constructing Super-SBM model to calculate the carbon emission efficiency of 30 provinces (cities) in China (except Tibet, Hong Kong, Macao and Taiwan) , and using GML index to measure the dynamic change and composition of carbon emission efficiency, furthermore, Tobit regression was used to identify the influencing factors. The study found: ① The carbon emission efficiency of most regions in China is low, and the carbon emission efficiency has decreased to some extent from 2007 to 2018. ② The change of carbon emission efficiency is mainly caused by the change of technical efficiency. ③ ICT capital-biased technological progress and human capital-biased technological progress have a significant inhibitory effect on the improvement of carbon emission efficiency in 30 provinces as a whole and in energy-rich regions, it can promote the improvement of carbon emission efficiency in energy-deficient region.