Modeling undesirable output with a DEA approach based on an exponential transformation: An application to measure the energy efficiency of Chinese industry

2019 ◽  
Vol 236 ◽  
pp. 117717 ◽  
Author(s):  
Zhixiang Zhou ◽  
Guangcheng Xu ◽  
Chu Wang ◽  
Jie Wu
Author(s):  
Mohd Afjal ◽  
Kavya C S

This study uses the Data Envelopment Analysis (DEA) slack-based model (SBM) and Malmquist Productivity Index (MPI) to evaluate energy efficiency based on CO2 emissions in 42 countries belonging to 6 continents. First, the data envelopment analysis was employed to calculate the efficiency scores for the countries individually and continent basis and then Malmquist index was used to examine the improvement. The study period chosen was 2011-2020. The results of this study showed that on the basis of continents there has been fluctuations in energy efficiency except for Australia, with an efficiency score of equal to one throughout the study period. Additionally, from the results of Malmquist Productivity Index it was found that the 42 countries showed no significant energy enhancement during the period of 2011-2020. KEYWORDS: Energy Efficiency, CO2 emissions, Continents, Data Envelopment Analysis, Malmquist Productivity Index


Author(s):  
Ying Li ◽  
Yung-ho Chiu ◽  
Liang Chun Lu

China’s rapid economic growth is accompanied by increasing energy consumption and severe environmental problems. As sustainable development can only be achieved by reducing energy intensity, new energy and renewable energy investment, as well as improving traditional energy efficiency, is becoming increasingly important. However, past energy efficiency assessments using data envelopment analysis (DEA) models mostly focused on radial and non-radial DEA model analyses. However, traditional radial DEA models ignore non-radial slacks when evaluating efficiency values, and non-radial DEA models ignore the same proportionality as radial DEA when evaluating efficiency value slacks. To balance the radial and non-radial model characteristics and consider undesirable output, this study combines a modified Epsilou-based measure (EBM) DEA and undesirable output and proposes a modified undesirable EBM DEA model to analyze the efficiency of China’s new and traditional energy sources. The empirical results found that (1) most new energy investment in most municipalities/provinces rapidly grew from 2013 to 2016; (2) as the annual efficiency score was only 1 in Beijing, Inner Mongolia, Shanghai, and Tianjin, the other 26 municipalities/provinces need significant improvements; (3) traditional energy efficiency scores were higher than new energy efficiency; and (4) NO2 efficiencies are slightly better than CO2 and SO2 efficiencies.


2014 ◽  
Vol 6 (8) ◽  
pp. 5476-5492 ◽  
Author(s):  
Qunwei Wang ◽  
Peng Zhou ◽  
Zengyao Zhao ◽  
Neng Shen

2020 ◽  
Author(s):  
Ze Tian ◽  
Ruomei Wang ◽  
Fang-rong Ren

Abstract Background: As the two main forces of China’s power electricity, the energy generation efficiencies of thermal power and hydropower are important factors affecting energy conservation and emissions reduction.Methods: Considering regional differences and multiple effective decision-making units, this research uses the meta-frontier super-efficiency slack based measure model to comprehensively evaluate the efficiencies of hydropower and thermal power generation in China, with CO2 emissions of thermal power generation as its undesirable output.Results: The average group efficiency of thermal power generation in the central region have greatly improved, and the eastern and western regions also show an upward trend, whereas there is a slight downward trend for hydropower in the three regions. The hydropower technological gaps in the three regions have slightly expanded, but the thermal power technology gaps in the east, the central, and the west have gradually narrowed, indicating that the thermal power industry is generally mature, and CO2 emission control and treatment have made some progress. From the perspective of input-output non-efficiency level, the undesirable output CO2 of thermal power energy efficiency in the eastern, central, and western regions is surplus, and the redundancy of equipment utilization hours, energy input, and installed capacity in the western region are all high, but generation in the western region is insufficient, leading to relatively low efficiency of thermal power generation there. In the east, the redundancy of equipment utilization hours, number of employees, and installed capacity are all high, and the generation of hydropower in the east and the central is insufficient, leading to relatively low efficiency of hydropower in these two regions.Conclusions: There are regional differences in the efficiencies of hydropower and thermal power generation in China. The thermal power industry is becoming mature, but its CO2 emissions should be reduced, and the hydropower industry needs further policies support according to local conditions to improve energy efficiency and achieve green development.


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