Assessing the effect of income inequality on household energy poverty-empirical evidence from China

被引:0
|
作者
Wang, Dong [1 ]
Fang, Tingwei [1 ]
Wang, Xiaofan [1 ]
机构
[1] Shandong Technol & Business Univ, Sch Finance, Dept Finance, Yantai, Peoples R China
来源
关键词
income inequality; Gini coefficient; energy poverty; household income; sustainable development; FINANCE; INDEX;
D O I
10.3389/fenrg.2023.1290904
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
Eliminating energy poverty is not only a prerequisite for escaping the "energy poverty trap" but also crucial to enhancing the welfare of residents and realising ecological civilization. Income inequality has become an essential challenge affecting China's economic growth and social stability. By integrating Chinese household data for 2016, 2018, and 2020, a mixed-method approach of energy income response modeling, income inequality measurement modeling, and fixed panel modeling is used in this paper to explore the relationship between income inequality and household energy poverty. Further, the mechanism of income inequality on energy poverty and the poverty reduction effect of household income on energy poverty are explored. The results show that income inequality is significantly and positively correlated with household energy poverty, implying that widening income inequality leads to energy "poverty enhancement." In terms of mechanisms, income inequality increases energy poverty by increasing households' willingness to save and reducing energy consumption. The moderating effect analysis shows that the breadth of digital financial inclusion reduces the contribution of income inequality to household energy poverty. The increase in household income will increase the affordability of households, especially the increase in wage income and property income, which can help households lift themselves out of "energy poverty." Therefore, creating sustainable digital ecosystems, incorporating sound government interventions, and providing diversified income channels are key to helping households escape energy poverty.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] The Impact of digital finance on rural energy poverty-empirical evidence from rural China
    Li, Yi
    Zhou, Bing
    [J]. SCIENTIFIC REPORTS, 2024, 14 (01):
  • [2] The Distribution of Household Income in China: Inequality, Poverty and Policies
    Li, Shi
    Sicular, Terry
    [J]. CHINA QUARTERLY, 2014, 217 : 1 - 41
  • [3] Poverty improvement policies and household income: Evidence from China
    Zhang, Haonan
    Dai, Jiapeng
    [J]. HELIYON, 2023, 9 (11)
  • [4] Impact of internal migration on household energy poverty: Empirical evidence from rural China
    Shi, Xinjie
    Cui, Liu
    Huang, Zuhui
    Zeng, Pei
    Qiu, Tongwei
    Fu, Linlin
    Jiang, Qiang
    [J]. APPLIED ENERGY, 2023, 350
  • [5] Financialization, household debt and income inequality: Empirical evidence
    De Vita, Glauco
    Luo, Yun
    [J]. INTERNATIONAL JOURNAL OF FINANCE & ECONOMICS, 2021, 26 (02) : 1917 - 1937
  • [6] Poverty, Education and Income Inequality in Malaysia: Evidence from the 2009 Household Income Expenditure Survey
    Mohd, Saidatulakmal
    Hamat, Abdul Fatah Che
    Idris, Muhammad
    Kasim, Norfariza Hanim
    [J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON CONTEMPORARY ECONOMIC ISSUES 2014: STIMULATING ECONOMIC GROWTH, IMPROVING QUALITY OF LIFE & ENHANCING YOUTH INVOLVEMENT, 2014, : 111 - 118
  • [7] Emergence of urban poverty and inequality in China: evidence from household survey
    Fang, C
    Zhang, XB
    Fan, SG
    [J]. CHINA ECONOMIC REVIEW, 2002, 13 (04) : 430 - 443
  • [8] Short-term trends in China's income inequality and poverty: evidence from a longitudinal household survey
    Xie, Yu
    Zhang, Xiaobo
    Xu, Qi
    Zhang, Chunni
    [J]. CHINA ECONOMIC JOURNAL, 2015, 8 (03) : 235 - 251
  • [9] Digital Inequality and Household Income Distribution: Evidence from Rural China
    Li, Gang
    [J]. APPLIED RESEARCH IN QUALITY OF LIFE, 2023, 18 (06) : 3061 - 3087
  • [10] Digital Inequality and Household Income Distribution: Evidence from Rural China
    Gang Li
    [J]. Applied Research in Quality of Life, 2023, 18 (6) : 3061 - 3087