『Abstract
Measuring and improving the energy performance with considering
emission constraints is an important issue for China's energy
conservation, pollutant emissions reduction and environmental
protection. This study utilizes several data envelopment analysis
(DEA) based models to evaluate the total-factor energy and emission
performance of China's 30 regions within a joint production framework
of considering desirable and undesirable outputs as well as separated
energy and non-energy inputs. DEA window analysis is applied in
this study to deal with cross-sectional and time-varying data,
so as to measure the performance during the period of 2000-2009.
Two treatments for undesirable outputs are combined with DEA models
and the associated indicators for simplex energy performance and
unified energy and emission performance measurement are proposed
and compared. The evaluation results indicate that the treatment
of undesirable outputs transformation is more appropriate for
China's regional energy and emission performance evaluation because
it has stronger discriminating power and can provide more reasonable
evaluation results that characterize China's regions. The empirical
result shows that east China has the highest and the most balanced
energy and emission performance. The energy and emission performance
of China remained stable during 2000-2003, decreased slightly
during 2004-2006, and has continuously increased since 2007.
Keywords: Energy efficiency; CO2 emissions;
Performance evaluation』
1. Introduction
2. DEA based methods for energy and emission performance evaluation
2.1. Energy performance evaluation model
2.2. Energy and emission performance evaluation model
2.3. DEA window analysis and rank sum test
3. Data, variables and descriptions of China's regions and areas
4. Comparative analyses of China's regional energy and emission
performance
4.1. Operationalizing the methods
4.2. Comparative analyses of performance under different undesirable
outputs treatments
4.3. Comparative analyses of simplex energy performance and unified
energy and emission performance
4.4. Discussions on the performance evaluation results
5. Conclusion
Acknowledgement
References