Age-driven energy poverty in urban household: Evidence from Guangzhou in China

被引:2
|
作者
Jiang, Lu [1 ,4 ]
Shi, Xiaonan [1 ]
Feng, Tong [2 ]
Yan, Meng [3 ]
机构
[1] Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
[2] Tianjin Univ Finance & Econ, Sch Publ Finance & Adm, Tianjin 300222, Peoples R China
[3] Qinghai Normal Univ, Sch Geog Sci, Xining 810008, Peoples R China
[4] UCL, Bartlett Sch Sustainable Construct, London WC1H 0AL, England
基金
中国国家自然科学基金;
关键词
Household energy consumption; Energy poverty; Household head; Age; Urban China; FUEL CHOICES; CONSUMPTION; COOKING;
D O I
10.1016/j.esd.2023.101369
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Energy poverty occurs when a household cannot fulfill its energy needs. Despite its widespread occurrence, Chinese cities have yet to formally recognize energy poverty as distinct from general poverty at the national level, thereby limiting the effectiveness of countermeasures. Guangzhou, a subtropical first-tier city in China, has a complex population comprising diverse migrants and locals of all ages. This age diversity greatly affects energy demand and poverty sensitivity, so analyzing age's impact on energy poverty is crucial. Thus, this paper surveyed 1072 households in 2020 to measure the extent of energy poverty. The energy poverty rate was found to be 13.85 %. Additionally, a U-shaped relationship was discovered between age and energy poverty, with a turning point at age 44. The adults in Guangzhou who are in energy poverty are not in income poverty. Higher education levels were found to impact energy consumption in households of both younger and older adults. For individuals older than 42-or 46 with a higher education level-the likelihood of experiencing energy poverty gradually decreases with age. Our findings indicate a unique pattern in which both younger and older individuals are susceptible to energy poverty in a humid subtropical climate. To achieve the UN's 2030 clean energy goals, policymakers must focus on tailored skill training, enhanced social welfare, and effective affordable housing policies to alleviate energy poverty.
引用
收藏
页数:16
相关论文
共 50 条
  • [41] The impact of urbanization on the alleviation of energy poverty: Evidence from China
    Qi, Xin
    Chen, Jueying
    Wang, Jingyi
    Liu, Heguang
    Ding, Boyan
    CITIES, 2024, 151
  • [42] Regional road development, rural and urban poverty: Evidence from China
    Fan, Shenggen
    Chan-Kang, Connie
    TRANSPORT POLICY, 2008, 15 (05) : 305 - 314
  • [43] ECONOMIC DEVELOPMENT AND RURAL ENERGY POVERTY: EVIDENCE FROM CHINA
    Wang, Yi
    Wang, Jianhe
    Wang, Lei
    Zhang, Li
    Xiang, Ziman
    SINGAPORE ECONOMIC REVIEW, 2023, 68 (04): : 1231 - 1250
  • [44] Social capital and energy poverty: Empirical evidence from China
    Ren, Zhiyuan
    Zhu, Yuhan
    Jin, Canyang
    Xu, Aiting
    ENERGY, 2023, 267
  • [45] How education reduces urban relative poverty? Evidence from China
    Zhang, Kun
    Cai, Shuxun
    Wang, Yuanyuan
    JOURNAL OF THE ASIA PACIFIC ECONOMY, 2024, 29 (04) : 2041 - 2064
  • [46] Household fuel choice in urban China: evidence from panel data
    Zhang, Xiao-Bing
    Hassen, Sied
    ENVIRONMENT AND DEVELOPMENT ECONOMICS, 2017, 22 (04) : 392 - 413
  • [47] Energy poverty and thermal comfort in northern urban China: A household-scale typology of infrastructural inequalities
    Robinson, Caitlin
    Yan, Da
    Bouzarovski, Stefan
    Zhang, Yang
    ENERGY AND BUILDINGS, 2018, 177 : 363 - 374
  • [48] The Role of Farmland Titling in Urban Agricultural Resilience: Evidence from Metropolitan Guangzhou, China
    Li, Dan
    Zhong, Wenjing
    Chen, Yitao
    SUSTAINABILITY, 2022, 14 (23)
  • [49] Mobile Internet Use and Multidimensional Poverty: Evidence from A Household Survey in Rural China
    Yang, Long
    Lu, Haiyang
    Wang, Sangui
    Li, Meng
    SOCIAL INDICATORS RESEARCH, 2021, 158 (03) : 1065 - 1086
  • [50] Mobile Internet Use and Multidimensional Poverty: Evidence from A Household Survey in Rural China
    Long Yang
    Haiyang Lu
    Sangui Wang
    Meng Li
    Social Indicators Research, 2021, 158 : 1065 - 1086