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Energies 2017, 10(12), 1942; https://doi.org/10.3390/en10121942

Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model

1,2,3,* , 3,4,* , 3,5
and
1
1
College of Resources and Safety Engineering, China University of Mining and Technology (Beijing), Beijing 100083, China
2
Beijing Key Laboratory for Precise Mining of Intergrown Energy and Resources, China University of Mining and Technology (Beijing), Beijing 100083, China
3
Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, China
4
School of Management and Economics, Beijing Institute of Technology, Beijing 100081, China
5
Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China
*
Authors to whom correspondence should be addressed.
Received: 6 October 2017 / Revised: 14 November 2017 / Accepted: 20 November 2017 / Published: 23 November 2017
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Abstract

Renewable energy can help to tackle energy poverty issues of the availability of modern energy services and the sustainability of energy supply. Based on the concept of the Energy Development Index, published by International Energy Agency, this paper builds the clean energy development index and applies the Grey incidence decision method to analyze regional energy poverty issues in China. A model using panel data investigates the influencing factors that are governing energy poverty alleviation and the relationship between energy poverty and social development. The improved index system not only considers the access to modern energy services, but also addresses the cleanliness of energy supply and the transition to clean energy consumption for cooking. The results indicate that due to insufficient clean energy development, China’s Northeast and West regions have experienced increasing energy poverty problems, while energy poverty in the Southwest region has improved considerably because of its renewable energy development. Urbanization, affordability, and renewable energy development can increase access to modern energy services, contributing to energy poverty alleviation. However, the role of rural household consumption levels in energy poverty alleviation should be considered in rural energy policy. View Full-Text
Keywords: energy poverty; renewable energy; energy development; electricity access; modern energy services energy poverty; renewable energy; energy development; electricity access; modern energy services
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Wang, B.; Li, H.-N.; Yuan, X.-C.; Sun, Z.-M. Energy Poverty in China: A Dynamic Analysis Based on a Hybrid Panel Data Decision Model. Energies 2017, 10, 1942.

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