Efficiency Evaluation of Energy Saving & Emission Reduction: Application of DRF and the SE-DEA Model

2013 ◽  
Vol 291-294 ◽  
pp. 1280-1285 ◽  
Author(s):  
Bin Guo ◽  
Yu Bo Lu ◽  
Rong Xia Zhang ◽  
Yan Guo

Data Reduction Factor (DRF) and the Super Efficiency DEA (SE-DEA) model are employed to study the energy saving and emission reduction efficiency of Shanxi Province. Based on Shanxi’s 2003~2010 panel data, firstly the public factors with economic significance are selected from many input and output indices by means of DRF; secondly the efficiency values during 2003~2010 are estimated by plugging the public factors, which are nonnegative after transformation by threshold method, in the input-oriented SE-DEA model; finally the DMUs are sorted and the efficiency value and scale returns of each unit are analyzed in details.

Energy Policy ◽  
2011 ◽  
Vol 39 (6) ◽  
pp. 3029-3032 ◽  
Author(s):  
Jianjun Zhang ◽  
Meichen Fu ◽  
Yuhuan Geng ◽  
Jin Tao

2021 ◽  
Vol 13 (16) ◽  
pp. 9443
Author(s):  
Jiekun Song ◽  
Rui Chen ◽  
Xiaoping Ma

Energy consumption is an important source of the emissions of CO2 and air pollutants such as SO2 and NOX. Reducing energy consumption can realize the simultaneous reduction of air pollutants and CO2 emissions to a certain extent. This study examines the collaborative allocation of energy consumption and the emissions of SO2, NOX and CO2 in China. In contrast to previous studies, this paper proposes an improved centralized DEA model that takes into account the correlation between energy consumption and air environmental emissions, the economic development demand and the energy resource endowment of different provinces. The initial allocation scheme is obtained based on the principle of equity. Then, the initial allocation results are brought into the improved centralized DEA model to maximize the expected output. The empirical analysis of projected data for 2025 shows that the looser the restrictions of energy consumption, the greater the optimal economic output. When the energy consumption of each province is allowed to fluctuate within the range of 85% to 115% of the initial quota, the total GDP is the largest and 20.62% higher than the initial GDP. The optimal allocation scheme is more equitable than the initial scheme and realizes absolute interpersonal equity and economic equity. Eighteen provinces bear the pressures of energy saving, emission reduction or GDP growth, with average pressure indexes of 11.46%, 16.85% and 40.62%, respectively. The pressures on the major regions involved in the “Belt and Road”, Beijing-Tianjin-Hebei region and Yangtze River Economic Belt national strategies will thus be reduced significantly; the maximum pressures on energy saving, emission reduction and GDP growth are 10.03%, 12.17% and 29.84%, respectively. China can take a series of measures to promote regional coordinated development and improve the realization of optimal allocation schemes, including establishing unified resource asset trading platforms, improving the methods of regional cooperation, building effective transportation and logistics transport networks to weaken the barriers among regions and implementing differentiated regional policies and regional interest coordination mechanisms.


2014 ◽  
Vol 962-965 ◽  
pp. 1883-1886
Author(s):  
Shuang Wang

The article reviews, summarizes and concludes the existing literature researches at home and abroad, and mainly from the meaning and the present situation of energy conservation and emissions reduction, the relationship with economy, society and environment, index system of energy conservation and emissions reduction, and efficiency evaluation methods of energy conservation and emissions reduction. Finally on the basis of summarizing, it puts forward the five expectations of domestic researches on energy saving and emission reduction.


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