Dynamical assessment of multi-dimensional energy poverty at the national and sub-national levels in Pakistan

被引:5
|
作者
Wang, Zilong [1 ]
Amin, Asad [2 ]
Chandio, Abbas Ali [3 ]
Shah, Aadil Hameed [4 ]
Ullah, Muhammad Imdad [5 ]
机构
[1] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211100, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Postdoctoral Stn Management Sci & Engn, Nanjing 211100, Peoples R China
[3] Sichuan Agr Univ, Coll Econ, Chengdu 611130, Peoples R China
[4] Govt Degree Coll, Dept Econ, Ban Hafiz Jee Mianwali, Punjab, Pakistan
[5] Bahauddin Zakaria Univ, Fac Pharm, Multan, Pakistan
关键词
Multi-dimensional energy poverty; Decomposition; Modern energy sources; Households; Deprivation; EMPIRICAL-EVIDENCE; HOUSEHOLDS; SERVICES;
D O I
10.1007/s12053-024-10190-4
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The primary objective of the current study is to examine the social issue of energy poverty from a multi-dimensional perspective in Pakistan's national, sub-national, and urban-rural regions. The universally attributed Alkire and Foster indexing approach and globally organized PSLM (Pakistan Social and Living Standard Measurement) data from 2010-2011 to 2019-2020 were used to calculate numerical results. The study's empirical findings emphasize that multiple-attribute energy poverty is primarily a rural phenomenon in Pakistan and its provinces. Furthermore, the time-variant situation reveals that with a shorter (longer) period, energy poverty exhibits a hybrid (declining) trend for Pakistan as a whole, its four provinces, and its regions. Finally, decomposability analyses of population subgroups and key dimensions show that households in two provinces (Sindh and KPK) and three attributes (cooking, home appliances, and entertainment) are the primary contributors to multi-dimensional energy poverty. Hence, to achieve the UN's Millennium Development Goals, i.e., SDG7, by 2030, several measures must be implemented rapidly, particularly in rural areas and the provinces, especially Sindh and KPK, such as providing easy access to modern energy services, reducing load shedding and energy shortfalls through advanced technology adoption, and improving households' living standards by reducing financial poverty. All of these solutions will assist in rapidly reducing energy poverty at all levels, paving the way for achieving the zero energy poverty goal (SDG7) by 2030.
引用
收藏
页数:16
相关论文
共 50 条
  • [1] Dynamical assessment of multi-dimensional energy poverty at the national and sub-national levels in Pakistan
    Zilong Wang
    Asad Amin
    Abbas Ali Chandio
    Aadil Hameed Shah
    Muhammad Imdad Ullah
    Energy Efficiency, 2024, 17
  • [2] European Regional Welfare Attitudes: a Sub-National Multi-Dimensional Analysis
    Angelo Moretti
    Adam Whitworth
    Applied Spatial Analysis and Policy, 2020, 13 : 393 - 410
  • [3] European Regional Welfare Attitudes: a Sub-National Multi-Dimensional Analysis
    Moretti, Angelo
    Whitworth, Adam
    APPLIED SPATIAL ANALYSIS AND POLICY, 2020, 13 (02) : 393 - 410
  • [4] Multi-dimensional public-private partnership readiness index: a sub-national analysis of India
    Malik, Sakshi
    Kaur, Simrit
    TRANSFORMING GOVERNMENT- PEOPLE PROCESS AND POLICY, 2021, 15 (04) : 483 - 511
  • [5] Foreign aid and energy poverty: Sub-national evidence from Senegal
    Munyanyi, Musharavati Ephraim
    Churchill, Sefa Awaworyi
    ENERGY ECONOMICS, 2022, 108
  • [6] Energy poverty in the Netherlands at the national and local level: A multi-dimensional spatial analysis
    Mulder, Peter
    Dalla Longa, Francesco
    Straver, Koen
    ENERGY RESEARCH & SOCIAL SCIENCE, 2023, 96
  • [7] Iran to achieve the SDG 3.4 at national and sub-national levels
    Ali Akbar Haghdoost
    Farshad Farzadfar
    Moein Yoosefi
    Kamyar Mansori
    Bagher Larijani
    Mohammad Reza Baneshi
    Fatemeh Khosravi Shadmani
    Scientific Reports, 12 (1)
  • [8] Iran to achieve the SDG 3.4 at national and sub-national levels
    Haghdoost, Ali Akbar
    Farzadfar, Farshad
    Yoosefi, Moein
    Mansori, Kamyar
    Larijani, Bagher
    Baneshi, Mohammad Reza
    Shadmani, Fatemeh Khosravi
    SCIENTIFIC REPORTS, 2022, 12 (01):
  • [9] Income, Poverty and Prices: Comparisons at National and Sub-national Level: Editors' Introduction
    Biggeri, Luigi
    Rao, D. S. Prasada
    SOCIAL INDICATORS RESEARCH, 2017, 131 (01) : 1 - 6
  • [10] Income, Poverty and Prices: Comparisons at National and Sub-national Level: Editors’ Introduction
    Luigi Biggeri
    D. S. Prasada Rao
    Social Indicators Research, 2017, 131 : 1 - 6