Coal saving in China: from Pareto-Koopmans to Kaldor-Hicks criterion
Journal of Organizational Change Management
ISSN: 0953-4814
Article publication date: 12 February 2018
Abstract
Purpose
In the creation of coal consumption reduction policy, the Chinese Government selected eight provinces as key provinces and encouraged them to replace coal with other non-coal energy, involving Kaldor-Hicks improvement. The purpose of this paper is to answer how much coal can be conserved if Kaldor-Hicks improvement is considered.
Design/methodology/approach
A DEA model reflecting Kaldor-Hicks improvement is suggested to calculate the potential of coal reduction, and an endogenous directional distance function model is proposed to calculate the energy consumption efficiency.
Findings
The results show that the non-key provinces wasted more coal than the key provinces, although the latter are of more concern. From the Kaldor-Hicks criterion, ten non-key provinces in a certain year can save more coal from an energy substitution policy and eight key provinces cannot. Through measurement of coal and energy efficiency, it is also found that provinces with an abundance of coal perform the worst in China.
Originality/value
Previous studies measuring Chinese saving potential of coal mainly focused on Pareto-Koopmans criterion, not consistent to policy practices. This study changes to Kaldor-Hicks criterion, allowing to make some factors better off and other factors worse off.
Keywords
Acknowledgements
The funding of this study has been provided by Key Foundation of National Research in Statistics of China No. 2011LZ023; Key Foundation of Natural Science for Colleges and Universities in Anhui, China No. KJ2011A001; National Natural Science Foundation of China No. 71171001; Soft Science Foundation of Anhui, China No. 12020503063; the Humanities and Social Science Research of the Ministry of Education Project of China No. 16YJCZH155, No. 17YJA790042; and the Program for New Century Excellent Talents in University No. NCET-12-0595.
Citation
Wang, J., Tian, Y., Song, M., Zhao, J. and Li, H. (2018), "Coal saving in China: from Pareto-Koopmans to Kaldor-Hicks criterion", Journal of Organizational Change Management, Vol. 31 No. 1, pp. 103-117. https://doi.org/10.1108/JOCM-06-2017-0231
Publisher
:Emerald Publishing Limited
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