China's regional energy efficiency: Results based on three-stage DEA model
Bin Lu,
Ke Wang and
Zhiqiang Xu
No 89, CEEP-BIT Working Papers from Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology
Abstract:
Traditional DEA models ignore the influence of environmental variables and statistical noise which may result in biased efficiency estimates. To solve this problem, three-stage DEA model was proposed and has been widely applied in many areas. This study evaluates China's regional energy efficiency by using three-stage DEA model based on the statistical data of 2010, and discusses the divergence of three different efficiency assessment methods. The empirical results show that the environmental factors indeed influence the regional energy efficiency performance. After the adjustment of environmental variables, the national average technical efficiency by adopting three-stage DEA model decreased significantly than by using traditional DEA model, but the influences to regions are different due to diverse features, some regions were overestimated by using BCC-DEA model, and some regions were underestimated. Three-stage DEA model is able to reflect the true efficiency by eliminating environmental effects compared with other methods.
Keywords: Evaluation; Three-stage DEA Model; SFA; Environmental Influence; Regional Energy Efficiency (search for similar items in EconPapers)
JEL-codes: Q40 Q54 (search for similar items in EconPapers)
Pages: 12 pages
Date: 2016-02-05
New Economics Papers: this item is included in nep-cna, nep-eff and nep-ene
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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http://ceep.bit.edu.cn/docs/2018-10/20181011145224054819.pdf (application/pdf)
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Persistent link: https://EconPapers.repec.org/RePEc:biw:wpaper:89
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