Incorporating greenhouse gas effects to evaluate energy efficiency in China

Yeh, Tsai‐Lien; Chen, Tser‐Yieth; Lai, Pei-Ying

doi:10.1080/13504509.2010.500496

Cited by 4 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, to emphasize the connotation of energy efficiency, the non-radial directional distance function (NDDF) model of the data envelopment analysis (DEA) model is chosen for assessment. DEA is a widely used method for assessing GTFEE [10][11][12][13][14][15][16][17][18][19][20][21]. This method does not require pre-assumptions about the form of the production function and avoids the risk of incorrectly setting the function form [22].…”

Section: Introductionmentioning

confidence: 99%

“…Similarly, Honma et al [18] calculated total factor energy efficiency for 14 developed countries using GDP as the only output from 1995 to 2005. As the study progressed, Yeh et al [21] added CO 2 and SO 2 emissions as undesirable outputs and utilized the Banker-Charnes-Cooper (BCC)-DEA [32] model to assess total factor energy efficiency in 30 Chinese provinces from 2002 to 2007. According to the findings, the eastern region had the highest energy efficiency, while the western region exhibited poor energy efficiency.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

China’s Green Total Factor Energy Efficiency Assessment Based on Coordinated Reduction in Pollution and Carbon Emission: From the 11th to the 13th Five-Year Plan

2023

View full text Add to dashboard Cite

As the world’s largest energy consumer, China is facing multiple pressures to conserve energy, mitigate pollution and reduce carbon emissions. An objective and scientific assessment of green total factor energy efficiency (GTFEE) is an important prerequisite for achieving energy conservation, emission reduction and low carbon development. In this research, a non-radial data envelopment analysis (DEA) is conducted to assess the GTFEE in China, while the issue of climate and air pollution from energy use is considered in the assessment system. We use different indicators to refer to air pollutants, which provides a reference for related research in indicator selection. The results show that different indicators have different inefficiency values, but changes in the indicators have a minimal effect on the inefficiency values of the other constant indicators. We also assess the GTFEE for the last three five-year plan periods to inform future policy development. The results show that China’s average annual GTFEE exhibits a unique trend in each five-year plan period, with an overall “v” shaped trend. The annual average GTFEE of different regions also varies. The other changes in the rankings of the provinces are mainly concentrated in the 11th to 12th Five-Year Plan period.

show abstract