Abstract
With the continuous acceleration of the modernization process, the Eco-environmental problems of the Yangtze River Economic Zone in China have become increasingly prominent, which makes the study of carbon emission efficiency become a long-term concern. Based on the panel data of 11 provinces and cities of the Yangtze River Economic Zone in 2009～2016, this paper calculates the DEA-Malmquist index of the Total Factor Carbon Emission Efficiency containing undesirable output in various provinces and cities and three major regions. By studying the DEA-Malmquist index and its decomposition, the results show that the Total Factor Carbon Emission Efficiency of various regions in the Yangtze River Economic Zone presents a growth trend, and its main contribution comes from technological progress. In the future, the emission reduction rules of the Yangtze River Economic Zone will be transformed from the traditional top-down emission reduction model to the bottom-up “independent contribution” emission reduction model.
Highlights
The Yangtze River Economic Zone stretches across the Eastern, Central and Western China, has a very important strategic position
Change of Total Factor Carbon Emission Efficiency (TFCEE) is represented by the Malmquist index, which is marked as MCPI
The quantity of employment in the second industry is selected as the labor input; the total energy consumption of each province is taken as energy input; the total fixed assets investment is regarded as capital input; the GDP is used as expected output; the amount of carbon emissions is taken as the undesired output
Summary
The Yangtze River Economic Zone stretches across the Eastern, Central and Western China, has a very important strategic position. The definition of carbon emission efficiency mainly includes two concepts: Single Factor Carbon Emission Efficiency (SFCEE) and Total Factor Carbon Emission Efficiency (TFCEE). The calculation methods of it mainly include carbon productivity, carbon index, and carbon emissions unit GDP, etc. Du et al used SFA method to measure the carbon dioxide emission efficiency of various provinces and cities in China[3]. Ramanathan used DEA method to analyze the fluctuation of carbon emissions over time in 17 countries[4]. Zhou used different DEA methods including SBM models when measuring carbon emission efficiency in OECD countries[5,6,7]. DEA model and Malmquist index are coupled to analyze the time-series evolution of TFCEE in 11 provinces and cities in the Yangtze River Economic Zone
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