DEA Research Of Regional Difference About Carbon Emission Efficiency

In recent years, with China’s rapid economic development, people’s livingstandards have been greatly improved, but because the extensive economic growthmode has a high input, high consumption, high pollution charact eristics, our countryhas paid a serious energy and environmental costs, resulting in vast consumption of alarge variety of energy and significant emissions of pollutants and greenhouse gases.China, as the world’s largest developing country, but also as the world’s biggestcarbon emitters, is saddled with significant pressure and power on energyconservation and emissions reduction.All along, there is huge regional differences in economic development, the uneveneconomic development, the gap between the urban-rural,while carbon emissions ofthe regional difference problems in particular need attention. Many related factorshave influences on carbon dioxide emissions, such as geographical factors, economicdevelopment level, industrial structure, ownership structure, energy consumptionstructure, the degree of opening to the outside world, investment level, theinstitutional environment, urbanization level and energy prices, etc. This effect variesaccording to different provinces (cities, districts), and therefore, the efficiency ofdifferent provinces (cities, districts) may exist significant regional differences. Thatwill be complicated. It is inappropriate that emission reduction task is blindlyassigned in the area without considering regional differences.This issue must beseriously taken into account, and only a thorough understanding of carbon efficiencyregional differences can help to make targeted and effective policy recommendationsfor total energy conservation and emissions reduction targets.Firstly, this paper makes a more detailed estimate of carbon dioxide emissions inChina’s30provinces(cities, districts) from1997to2011, by the method ofIPCC(Intergovernmental panel on Climate Change)(2006) and the nationalcoordination committee on climate change and the national development and reformcommission energy research institute (2007).And the related influence factors ofcarbon dioxide emissions are analyzed in theory. Based on Supper Efficiency DEAmodel, and applying Stochastic Frontier Approach (SFA) to eliminate the influencefrom environment and random error factors, this paper researches carbon emissionefficiency of China’s30provinces (cities, districts) from1997to2011in phases. The results show that environment and random error factors are significant related tocarbon emission in provinces (cities, districts).This fully reflects the rationality,scientificity and superiority in super efficiency three-stage DEA Model. From theempirical results also clearly see that, on the whole, the efficiency of carbonemissions is on the rise, but rising slowly, and we can do a lot to improve it. From thelateral view, carbon emission efficiency has a strong significant difference in region,and the gap of carbon emission efficiency level between provinces (cities, districts) isincreasing year by year, the trend that carbon emission efficiency of the highest iswider than the lowest is obvious. By cluster analysis of carbon emission efficiency,the paper finds that the east has a higher efficiency in carbon emission, and the westhas a significant feature of high carbon economy. China can be divided into threemodes based on cluster analysis results.Finally, this paper provides some suggestions for energy conservation andemissions reductions. To achieve carbon reduction targets, it is necessary to accelerateimprovements in carbon efficiency, and make effective policy recommendations inline with China’s actual conditions. Narrow the gap between regional carbonefficiency is an effective way to achieve our overall carbon reduction targets.