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

IF 3.2 4区 工程技术 Q3 ENERGY & FUELS Energy Efficiency Pub Date : 2024-03-02 DOI:10.1007/s12053-024-10190-4
Zilong Wang, Asad Amin, Abbas Ali Chandio, Aadil Hameed Shah, Muhammad Imdad Ullah
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Abstract

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.

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巴基斯坦国家和国家以下各级多维能源贫困的动态评估
本研究的主要目的是从多维角度研究巴基斯坦国家、次国家和城乡地区的能源贫困社会问题。研究采用了普遍认可的阿尔基勒和福斯特指数化方法以及全球组织的 2010--2011 年至 2019-2020 年巴基斯坦社会和生活水平测量(PSLM)数据来计算数值结果。研究的实证结果强调,多属性能源贫困主要是巴基斯坦及其各省的农村现象。此外,随时间变化的情况表明,随着时间的缩短(延长),整个巴基斯坦、其四个省份和地区的能源贫困呈现混合(下降)趋势。最后,对人口分组和关键维度的可分解性分析表明,两个省份(信德省和肯塔基米尔省)的家庭和三个属性(烹饪、家用电器和娱乐)是造成多维度能源贫困的主要因素。因此,为了在 2030 年前实现联合国千年发展目标,即可持续发展目标 7,必须迅速实施多项措施,特别是在农村地区和各省,尤其是信德省和开伯尔-开伯尔邦,例如提供便捷的现代能源服务,通过采用先进技术减少负荷中断和能源短缺,以及通过减少金融贫困提高家庭生活水平。所有这些解决方案都将有助于在各个层面迅速减少能源贫困,为到 2030 年实现零能源贫困目标(可持续发展目标 7)铺平道路。
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来源期刊
Energy Efficiency
Energy Efficiency ENERGY & FUELS-ENERGY & FUELS
CiteScore
5.80
自引率
6.50%
发文量
59
审稿时长
>12 weeks
期刊介绍: The journal Energy Efficiency covers wide-ranging aspects of energy efficiency in the residential, tertiary, industrial and transport sectors. Coverage includes a number of different topics and disciplines including energy efficiency policies at local, regional, national and international levels; long term impact of energy efficiency; technologies to improve energy efficiency; consumer behavior and the dynamics of consumption; socio-economic impacts of energy efficiency measures; energy efficiency as a virtual utility; transportation issues; building issues; energy management systems and energy services; energy planning and risk assessment; energy efficiency in developing countries and economies in transition; non-energy benefits of energy efficiency and opportunities for policy integration; energy education and training, and emerging technologies. See Aims and Scope for more details.
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