Spatial Differences and Influencing Factors of Energy Poverty: Evidence From Provinces in China

被引:9
|
作者
Jia, Wenxing [1 ]
Wu, Shengnan [1 ]
机构
[1] Shanghai Univ Finance & Econ, Inst Yangtze River Delta & Yangtze River Econ Belt, Sch Urban & Reg Sci, Shanghai, Peoples R China
关键词
energy poverty; regional difference; influencing factors; relational data; solid fuel; energy consumption; HOUSEHOLD FUEL CHOICE; CONSUMPTION; HEALTH; IMPACTS; COOKING; WOMEN; SOUTH; MODEL;
D O I
10.3389/fenvs.2022.921374
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The complex and severe problem of energy poverty seriously affects the health and quality of life of residents and poses a significant challenge to the country's macroeconomic development. The purpose of this paper is to analyze the spatial distribution of energy poverty and the characteristics of regional differences in 30 provinces in mainland China from 2008 to 2019 by constructing an energy poverty evaluation index system and explore the main reasons for the gap between energy poverty regions in China from the perspective of "relational data." The results show that the spatial distribution of energy poverty in China is "high in the west and central area and low in the east," and the spatial pattern is relatively stable. From the perspective of the time dimension, the problem of energy poverty in China has been alleviated during the sample period, and the overall gap in energy poverty has shown a decreasing trend. The difference in energy poverty between regions is the primary source of the overall gap, but its contribution is gradually decreasing. The empirical results suggest that reducing the imbalance of industrial structure, energy price, and energy investment among regions can effectively narrow the inter-regional energy poverty gap. Moreover, there are differences in the dominant factors that determine the difference in energy poverty within the eastern, central, and western regions. In this regard, it is recommended to further improve the relevant policies in developing new energy sources according to local conditions, reasonably increasing energy construction investment, strengthening technological innovation, establishing financial guarantee mechanisms, and guiding residents to consume modern, clean energy.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Factors of Energy Poverty: Evidence from Tibet, China
    Zang, Dungang
    Li, Fanghua
    Chandio, Abbas Ali
    [J]. SUSTAINABILITY, 2021, 13 (17)
  • [2] Spatial correlation network of renewable energy consumption and its influencing factors: Evidence from 31 Chinese provinces
    Wang, Huiping
    Liu, Peiling
    [J]. RENEWABLE ENERGY, 2023, 217
  • [3] Differences and Influencing Factors of Relative Poverty of Urban and Rural Residents in China Based on the Survey of 31 Provinces and Cities
    Sun, Hong
    Li, Xiaohong
    Li, Wenjing
    Feng, Jun
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2022, 19 (15)
  • [4] Exploring the spatial disparities and influencing factors of child multidimensional poverty in China
    Wang, Xia
    Hai, Shaoqi
    Cai, Peiru
    Shi, Shuyue
    [J]. APPLIED SPATIAL ANALYSIS AND POLICY, 2022, 15 (04) : 1387 - 1409
  • [5] Exploring the spatial disparities and influencing factors of child multidimensional poverty in China
    Xia Wang
    Shaoqi Hai
    Peiru Cai
    Shuyue Shi
    [J]. Applied Spatial Analysis and Policy, 2022, 15 : 1387 - 1409
  • [6] Spatial association network of economic resilience and its influencing factors: evidence from 31 Chinese provinces
    Wang, Huiping
    Ge, Qi
    [J]. HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2023, 10 (01):
  • [7] Spatial association network of economic resilience and its influencing factors: evidence from 31 Chinese provinces
    Huiping Wang
    Qi Ge
    [J]. Humanities and Social Sciences Communications, 10
  • [8] Analysis of Factors Influencing Energy Efficiency Based on Spatial Quantile Autoregression: Evidence from the Panel Data in China
    Zhang, Jinping
    Lu, Qiuru
    Guan, Li
    Wang, Xiaoying
    [J]. ENERGIES, 2021, 14 (02)
  • [9] Temporal and Spatial Differences in the Resilience of Smart Cities and Their Influencing Factors: Evidence from Non-Provincial Cities in China
    Dong, Xiaojun
    Shi, Tao
    Zhang, Wei
    Zhou, Qian
    [J]. SUSTAINABILITY, 2020, 12 (04)
  • [10] Green, poverty reduction and spatial spillover: an analysis from 21 provinces of China
    Chu Qin
    Wei Zhang
    [J]. Environment, Development and Sustainability, 2022, 24 : 13610 - 13629