EconPapers    
Economics at your fingertips  
 

Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective

Lijun Zeng (), Laijun Zhao (), Qin Wang (), Bingcheng Wang (), Yuan Ma (), Wei Cui () and Yujing Xie ()
Additional contact information
Lijun Zeng: Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Laijun Zhao: Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Qin Wang: Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China
Bingcheng Wang: College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China
Yuan Ma: College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China
Wei Cui: College of Economics and Management, Shandong University of Science and Technology, Qingdao 266590, China
Yujing Xie: China Institute of Regulation Research, Zhejiang University of Finance & Economics, Hangzhou 310018, China

Energies, 2018, vol. 11, issue 1, 1-25

Abstract: As the world faces great challenges from climate change and environmental pollution, China urgently requires energy saving, emission reduction, and carbon reduction programmes. However, the non-cooperative energy saving model (NCESM), the simple regulation mode that is China’s main model for energy saving, is not beneficial for optimization of energy and resource distribution, and cannot effectively motivate energy saving at the provincial level. Therefore, we propose an interprovincial cooperative energy saving model (CESM) from the perspective of electricity utilization, with the object of maximizing the benefits from electricity utilization of the cooperation union based on achieving the energy saving goals of the union as a whole. The CESM consists of two parts: (1) an optimization model that calculates the optimal quantities of electricity consumption for each participating province to meet the joint energy saving goal; and (2) a model that distributes the economic benefits of the cooperation among the provinces in the cooperation based on the Shapley value method. We applied the CESM to the case of an interprovincial union of Shanghai, Sichuan, Shanxi, and Gansu in China. The results, based on the data from 2001–2014, show that cooperation can significantly increase the benefits of electricity utilization for each province in the union. The total benefits of the union from utilization of electricity increased 38.38%, or 353.98 billion CNY, while the benefits to Shanghai, Sichuan, Shanxi, and Gansu were 200.28, 58.37, 57.11, and 38.22 billion CNY respectively greater under the CESM than the NCESM. The implementation of the CESM provides the provincial governments not only a flexible and incentive way to achieve short-term goals, but also a feasible and effective path to realize long-term energy saving strategies. To test the impact of different parameter values on the results of the CESM, a sensitivity analysis was conducted. Some policy recommendations are made at the central government level and the provincial government level to promote the implementation of the CESM.

Keywords: interprovincial cooperation; energy saving; optimal model; game; Shapley value (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations View citations in EconPapers (2) Track citations by RSS feed

Downloads: (external link)
https://www.mdpi.com/1996-1073/11/1/241/pdf (application/pdf)
https://www.mdpi.com/1996-1073/11/1/241/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:11:y:2018:i:1:p:241-:d:127853

Access Statistics for this article

Energies is currently edited by Prof. Dr. Enrico Sciubba

More articles in Energies from MDPI, Open Access Journal
Bibliographic data for series maintained by XML Conversion Team ().

 
Page updated 2018-10-02
Handle: RePEc:gam:jeners:v:11:y:2018:i:1:p:241-:d:127853