Integrated decision-making about China?s energy poverty alleviation based on system dynamics

被引:17
作者
Che, Xiahui [1 ]
Geng, Pengpeng [2 ]
Wang, Dan [3 ]
Fan, Cheng [4 ]
Yuan, Yuehua [5 ]
机构
[1] Hebei Univ, Sch Management, Baoding 071002, Peoples R China
[2] Anhui Agr Univ, Sch Econ & Management, Hefei 230036, Peoples R China
[3] Xidian Univ, Sch Econ & Management, Xian 710126, Peoples R China
[4] Nanjing Univ Informat Sci & Technol, Sch Management Sci & Engn, Nanjing 210044, Peoples R China
[5] Hebei Univ, Sch Hist, Baoding 071002, Peoples R China
关键词
Energy poverty alleviation; Employment; Financial support; Energy structure; System dynamic modeling;
D O I
10.1016/j.esr.2022.101011
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
An energy poverty policy simulation model is developed to make integrated decision and optimize China's energy poverty alleviation. In the model, system dynamic modeling is used to investigate the time-varying behavior of energy poverty system over time, and scenario analysis is carried to test and determine the most efficient scenario. The results show that energy poverty will move toward a sustainable alleviation from 2021 to 2030. Compared with 2011, the energy poverty index in scenario I - VI will decrease by 47.98%, 62.08%, 43.19%, 53.31%, 62.22% and 88.42% in 2030. Both employment and financial expenditure have a significant positive effect on energy poverty alleviation, while energy structure adjustment plays a double-sided role in alleviating energy poverty. Combination strategy is the most efficient scenario, where China could achieve United Nations Sustainable Development Goal (SDG) 7 of providing clean and affordable energy access to all by 2031.
引用
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页数:9
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共 34 条
[1]   Cost-of-Illness and the Health-Related Quality of Life of Patients in the Dengue Fever Outbreak in Hanoi in 2017 [J].
Bach Xuan Tran ;
Giang Thu Vu ;
Long Hoang Nguyen ;
Anh Tuan Le Nguyen ;
Tung Thanh Tran ;
Binh Thanh Nguyen ;
Thao Phuong Thi Thai ;
Latkin, Carl A. ;
Ho, Cyrus S. H. ;
Ho, Roger C. M. .
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2018, 15 (06)
[2]   Rethink fuel poverty as a complex problem [J].
Baker, Keith J. ;
Mould, Ronald ;
Restrick, Scott .
NATURE ENERGY, 2018, 3 (08) :610-612
[3]   Does cash money solve energy poverty? Assessing the impact of household heating allowances in Spain [J].
Barrella, Roberto ;
Linares, Jose Ignacio ;
Romero, Jose Carlos ;
Arenas, Eva ;
Centeno, Efraim .
ENERGY RESEARCH & SOCIAL SCIENCE, 2021, 80
[4]   Fuel poverty policy: Go big or go home insulation [J].
Best, Rohan ;
Sinha, Kompal .
ENERGY ECONOMICS, 2021, 97
[5]   Applying the mixed-mode with an adaptive approach to reduce the energy poverty in social dwellings: The case of Spain [J].
Bienvenido-Huertas, David ;
Sanchez-Garcia, Daniel ;
Rubio-Bellido, Carlos ;
Pulido-Arcas, Jesus A. .
ENERGY, 2021, 237
[6]   Do unemployment benefits and economic aids to pay electricity bills remove the energy poverty risk of Spanish family units during lockdown? A study of COVID-19-induced lockdown [J].
Bienvenido-Huertas, David .
ENERGY POLICY, 2021, 150
[7]   A comparative study of the interlinkages between energy poverty and low carbon development in China and Germany by developing an energy poverty index [J].
Bonatz, Nora ;
Guo, Ru ;
Wu, Wenhao ;
Liu, Linjing .
ENERGY AND BUILDINGS, 2019, 183 :817-831
[8]   Regional-level household energy consumption determinants: The european perspective [J].
Borozan, Djula .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 90 :347-355
[9]   System dynamics within typical days of a high variable 2030 European power system [J].
Brinkerink, Maarten ;
Shivakumar, Abhishek .
ENERGY STRATEGY REVIEWS, 2018, 22 :94-105
[10]   Energy poverty and health expenditure: Evidence from Ghana [J].
Bukari, Chei ;
Broermann, Shanaz ;
Okai, Davidson .
ENERGY ECONOMICS, 2021, 103