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

被引:37
|
作者
Wang, Bing [1 ,2 ,3 ]
Li, Hua-Nan [3 ,4 ]
Yuan, Xiao-Chen [3 ,5 ]
Sun, Zhen-Ming [1 ]
机构
[1] China Univ Min & Technol, Coll Resources & Safety Engn, Beijing 100083, Peoples R China
[2] China Univ Min & Technol, Beijing Key Lab Precise Min Intergrown Energy & R, Beijing 100083, Peoples R China
[3] Beijing Inst Technol, Ctr Energy & Environm Policy Res, Beijing 100081, Peoples R China
[4] Beijing Inst Technol, Sch Management & Econ, Beijing 100081, Peoples R China
[5] Univ Sci & Technol Beijing, Donlinks Sch Econ & Management, Beijing 100083, Peoples R China
基金
中国博士后科学基金; 中国国家自然科学基金;
关键词
energy poverty; renewable energy; energy development; electricity access; modern energy services; RENEWABLE ENERGY; FUEL POVERTY; CLIMATE-CHANGE; VULNERABILITY; EUROPE;
D O I
10.3390/en10121942
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Renewable energy can help to tackle energy poverty issues of the availability ofmodern 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.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Research on Macro Influencing Factors of Energy Intellectual Property in China: Analysis Based on Dynamic Panel Data Model
    Pan, Lingyao
    [J]. 2018 5TH INTERNATIONAL CONFERENCE ON BUSINESS, ECONOMICS AND MANAGEMENT (BUSEM 2018), 2018, : 456 - 463
  • [2] Risk preference and relative poverty: An analysis based on the data of China Family Panel Studies
    Mao, Hui
    Fu, Yong
    [J]. ECONOMIC ANALYSIS AND POLICY, 2024, 82 : 220 - 232
  • [3] Marketisation and rural energy poverty: Evidence from provincial panel data in China
    Ren, Yi-Shuai
    Jiang, Yong
    Narayan, Seema
    Ma, Chao-Qun
    Yang, Xiao-Guang
    [J]. ENERGY ECONOMICS, 2022, 111
  • [4] Convergence analysis of regional energy efficiency in china based on large-dimensional panel data model
    Zhang, Wei
    Pan, Xiongfeng
    Yan, Yaobo
    Pan, Xianyou
    [J]. JOURNAL OF CLEANER PRODUCTION, 2017, 142 : 801 - 808
  • [5] Gasoline consumption in China: a dynamic panel data analysis
    Li, Raymond
    Leung, Guy C. K.
    [J]. ECONOMICS BULLETIN, 2012, 32 (03): : 2375 - 2382
  • [6] Internet diffusion in China: A dynamic panel data analysis
    Li, Raymond
    Shiu, Alice
    [J]. TELECOMMUNICATIONS POLICY, 2012, 36 (10-11) : 872 - 887
  • [7] The phased and regionalism characteristic of local government investment in China: Based on the analysis using dynamic panel data model
    Wang, Gan
    Yu, Zuwei
    Li, Bo
    [J]. International Journal of Digital Content Technology and its Applications, 2012, 6 (22) : 750 - 757
  • [8] The impact of microfinance on poverty reduction in Vietnam: A dynamic panel-data analysis
    Duong, Hoai A.
    Nghiem, Hong S.
    [J]. POVERTY & PUBLIC POLICY, 2022, 14 (04): : 405 - 422
  • [9] Influence of energy poverty on agricultural water efficiency using a panel data study in China
    Shi, Hongxu
    Zhang, Yuehua
    Bian, Mengyan
    Zhang, Jun
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01)
  • [10] Determinants of Poverty: A Dynamic Panel Data Analysis with Controls for Income Level and Inequality
    Leow, Kah Wei
    Tan, Eu Chye
    [J]. MALAYSIAN JOURNAL OF ECONOMIC STUDIES, 2019, 56 (02) : 227 - 242