Total-factor energy efficiency of regions in China
By Jin-Li Hu, Shih-Chuan Wang. 2006
1,390 citations recorded by the source corpus.
Abstract This paper analyzes energy efficiencies of 29 administrative regions in China for the period 1995–2002 with a newly introduced index. Most existing studies of regional productivity and efficiency neglect energy inputs. We use the data envelopment analysis (DEA) to find the target energy input of each region in China at each particular year. The index of total-factor energy efficiency (TFEE) then divides the target energy input by the actual energy input. In our DEA model, labor, capital stock, energy consumption, and total sown area of farm crops used as a proxy of biomass energy are the four inputs and real GDP is the single output. The conventional energy productivity ratio regarded as a partial-factor energy efficiency index is computed for comparison in contrast to TFEE; our index is found fitting better to the real case. According to the TFEE index rankings, the central area of China has the worst energy efficiency and its total adjustmentof energy consumption amount is over half of China's total. Regional TFEE in China generally improved during the research period except for the western area. A U-shape relation between the area's TFEE and per capita income in the areas of China is found, confirming the scenario that energy efficiency eventually improves with economic growth.
Subfields: Economics and Econometrics, Environmental Engineering, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/e1574936c027dd6533e2cbe3c909d35f6e90e263
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Citations in the corpus
- Linear programming models for measuring economy-wide energy efficiency performance (2008, methodology): “However, as discussed by Hu and Wang (2006), energy inputs alone cannot produce any outputs without incorporating other non-energy inputs.”
- Regional total factor energy efficiency: An empirical analysis of industrial sector in China (2012, methodology): “(2006) realized the limitations and irrationalities caused by the method of single factor energy efficiency evaluation [11].”
- Industrial energy efficiency with CO2 emissions in China: A nonparametric analysis (2012, background): “Later, Hu and Wang (2006) develop a total-factor energy efficiency index and apply it to evaluate China’s regional energy efficiency.”
- Data envelopment analysis application in sustainability: The origins, development and future directions (2018, methodology): “…applied traditional DEA models and Malmquist index to analyze regional dynamic relative macroeconomic performance, energy efficiency and water efficiency in China (e.g., Chen, Song, & Xu, 2015; Guo et al., 2011; Hu & Wang, 2006; Hu et al, 2006; Hu et al., 2005; Li & Hu, 2012; Zhou et al., 2010 ).”