The persistence of energy poverty: A dynamic probit analysis

Alem, Yonas; Demeke, Eyoual

doi:10.1016/j.eneco.2020.104789

Cited by 65 publications

(24 citation statements)

References 36 publications

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“…Shirazi et al (2019) stated that economic and energy poverty are basically equivalent [41]. Some scholars have also pointed out that energy prices [42][43][44] and the income level directly affect the types of energy used [45][46][47][48]. Education level and energy infrastructure can also directly affect the energy use ability and attitude [3,41,42].…”

Section: Literature Reviewmentioning

confidence: 99%

Factors of Energy Poverty: Evidence from Tibet, China

Zang

Chandio

2021

Sustainability

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Energy poverty due to rising energy demand is a matter of global concern. Therefore, examination of the causes of energy poverty and development of effective solutions are urgent concerns. Using survey data on livelihood development in Tibetan farming and pastoral areas in 2019, this study applied logistic and ordinary least squares models to empirically investigate the factors that influence energy poverty in Tibet. We found that energy poverty is (1) unrelated to age, gender, education, marital status, political and village cadre experience, planting, or expenditures related to religious activities; (2) negatively correlated with migrant work, village status, household income, and traffic conditions; (3) positively correlated with employment, area, and breeding; and (4) both positively and negatively affected by family residence altitude. The results offer new insights and empirical evidence for the identification and elimination of energy poverty, improving livelihoods, and promoting rural revitalisation in Tibet.

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Section: Literature Reviewmentioning

confidence: 99%

Factors of Energy Poverty: Evidence from Tibet, China

Zang

Chandio

2021

Sustainability

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“…It can be speculated that people who are poor in energy are in a state of deprivation, but it is also true that everyone has their own notions of deprivation (Alem and Demeke 2020). Both objects and conditions of deprivation vary with people.…”

Section: Framework For Energy Poverty Assessmentmentioning

confidence: 99%

“…This can be achieved either by comparing poverty in each community on the basis of their own standards or comparing societies on a common computed standard. The aggregation process is followed by standardization, and the deprivation is measured under a common umbrella (Alem and Demeke 2020). If it is stated that people in the state of Gujarat (energy‐surplus state) are less energy poor than the people of Uttar Pradesh (energy‐deficit state), then this would be a generalization that might hold true to some extent but it is not absolute.…”

Section: Framework For Energy Poverty Assessmentmentioning

confidence: 99%

“…Basic needs may vary but the outcomes can be common for people (Banerjee and Duflo 2007). The basic need theory works for a shorter span when the government aims to achieve goals for a shorter period (Alem and Demeke 2020). With elections taking place every 5 y in India, the political structure is quite dynamic and the focus of these governments, which are in power for a short span, is to achieve short‐term goals.…”

Section: Causes Of Energy Disconnectsmentioning

confidence: 99%

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Review of Sustainable Grid‐Independent Renewable Energy Access in Remote Communities of India

Bose

Saini

Yadav

et al. 2021

Integr Envir Assess & Manag

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In the last decade India has seen an increase in the adoption of solar energy‐based technologies by consumers, which has been supported by various government efforts and policies. The rural areas and low‐income households that lack a proper electricity supply have emerged as a market for solar off‐grid technologies, with private developers increasing their market base slowly in this group. This has promulgated the need to restructure the decentralized energy sector. Existing literature points out the suitability of solar off‐grid in such markets; the present study investigates the challenges that have hindered its growth. The study reviews the concept of poverty with respect to the energy sector and analyzes methods of determining poor energy access in the present scenario. It emphasizes the need to understand and reconceptualize policy instruments in order to make solar off‐grid a powerful tool in tackling energy demand and providing adequate energy access. It further explores the causes of energy disconnects and how grid‐independent solar energy is a technological solution of utmost relevance and in consonance with the idea of sustainable development. For a successful venture, both consumer behavior and marketer objectives are important determinants. The work also provides insights into various models, tools, factors, and social constructs that affect consumer perception and subsequently demand. Over the course of the study, it has been revealed how private players and entrepreneurs are tapping the wrong solar market, leading to misappropriation of solar energy technologies. The suggested improvements and recommendations of the present study from the analysis can serve as a guide for policy makers, technological innovators, and financial stakeholders. Integr Environ Assess Manag 2021;17:364–375. © 2020 SETAC

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“…To the best of our knowledge, the UK [20,21], Spain [22], and France [23] have been the subject of the energy poverty dynamic analysis. We also account for dynamic energy poverty modeling performed by [24][25][26][27][28]. Different types of statistical tools are used in the analysis of energy poverty persistence, such as the mover-stayer model [23], dynamic probit estimator [27], Markov process [22], discrete hazard models [20], logistic regression [21], etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Escaping Energy Poverty: A Comparative Analysis of 17 European Countries

Karpinska

Śmiech

2021

Energies

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A comparative analysis of energy poverty transitions and persistence can provide valuable suggestions for long-term policy actions. This study examines the dynamics of energy poverty in 17 European countries based on the longitudinal household data from the EU Survey on Income and Living Conditions, waves 2015–2018. The study pursues two goals. First, we explore households’ chances of transitioning in and out of energy poverty in each country following the discrete-time Markov process. On average, the probability to stay in energy poverty is 51.5%, and there is a lot of heterogeneity across countries. Households in Bulgaria, Greece, Romania, and Lithuania are quite close to the energy poverty trap. Second, we identify factors that help energy-poor households leave energy poverty. Demographic, technical, and socio-economic factors are the drivers in escaping energy poverty, which suggests common EU policy.

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The persistence of energy poverty: A dynamic probit analysis

Cited by 65 publications

References 36 publications

Factors of Energy Poverty: Evidence from Tibet, China

Factors of Energy Poverty: Evidence from Tibet, China

Review of Sustainable Grid‐Independent Renewable Energy Access in Remote Communities of India

Escaping Energy Poverty: A Comparative Analysis of 17 European Countries

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