Energy poverty and public health: Global evidence

Pan, Lei; Biru, Ashenafi; Lettu, Sandra

doi:10.1016/j.eneco.2021.105423

Cited by 80 publications

(31 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The DGMM developed by Arellano and Bond (1991), while the SGMM developed by Arellano and Bover (1995) for the rst time and modi ed by Blundell and Bond (1998). In this study, both the One-step System GMM (OSGMM) and Two-steps System GMM (TSGMM) are used as the main estimation method because it can combines different equations (Pan et al, 2021). Explicitly, both the lagging difference of the explanatory variables in the level equation and the lagging level values of the explanatory variables in the difference equation are used as instrumental variable to tackle the endogeneity problem (Bun and Windmeijer, 2010).…”

Section: Estimations Strategy and Resultsmentioning

confidence: 99%

How does clean fuels and technologies-based energy poverty affect carbon emissions? New evidence from eighteen developing countries

Yahong

Ping

Khan

et al. 2022

Preprint

View full text Add to dashboard Cite

The relationship between all types of poverty and other socioeconomic indicators has been studied extensively; nevertheless, clean fuels and technologies-based energy poverty, which is adjusted for carbon emissions, have not been studied. The current study empirically examines the effect of clean fuels and technologies-based energy poverty on carbon emissions (Co2e) using panel data of eighteen developing countries from Asia for the period of 2006–2017. By using the System-Generalized Method of Movement (SGMM) estimators, the empirical findings suggest the presence of clean fuels and technologies-based energy poverty and its curse on environment, i.e., energy-poverty positively affect Co2e growth in Asian developing countries. Furthermore, economic growth (GDP), trade, and population are also positively associated with Co2e growth and have detrimental effect the environmental degradation. Based on the empirical findings of current study, we recommend robust policy implications that the governments of targeted countries should invest more to increase clean fuels and technologies.

show abstract

Section: Estimations Strategy and Resultsmentioning

confidence: 99%

How does clean fuels and technologies-based energy poverty affect carbon emissions? New evidence from eighteen developing countries

Yahong

Ping

Khan

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…The population unable to keep their home adequately warm is an important indicator of energy poverty [ 72 , 73 , 74 , 75 ]. Current health expenditure as a percentage GDP [ 76 ] is included in the analysis to indicate how a country’s healthcare resources are related to energy poverty. People or households that are in arrears on their utility bills are often affected by energy poverty [ 47 , 65 , 77 , 78 , 79 , 80 ].…”

Section: Methodsmentioning

confidence: 99%

Energy Poverty and Personal Health in the EU

Polimeni

Simionescu

Iorgulescu

2022

IJERPH

View full text Add to dashboard Cite

The aim of this paper is to assess the impact of energy poverty on health in the EU-27 countries for the period from 2003–2020 using Panel Autoregressive Distributed Lag models and generalized ridge regressions. Arrears on utility bills exerts positive long-run effects on capacity to keep the home adequately warm, current health expenditures, and self-perceived health as bad or very bad, but a negative long-run influence on energy import dependency. In the long-term, the population being unable to keep their home adequately warm positively affects self-perceived health as bad and very bad and negatively influences number of cooling days. Current health expenditure has a long-run influence on self-perceived health as bad and very bad and the number of heating days. Positive short-run impacts were observed for energy import dependency, arrears on utility bills, and number of heating days on current health expenditure and the population unable to keep their home adequately warm. People at risk of poverty or social exclusion in different zones had a significant impact on energy poverty indicators. A separate analysis is made for those EU states with the highest energy import dependency and the implications of the results are discussed.

show abstract

“…Oster (2019) argued that unobserved covariates are typically relatively less important than those included in models, and, thus, the relative degree of selection on observables and unobservables is between zero and one ( < <1), as one may expect if extensive controls are employed based on relevant literature. Following existing studies (Oster, 2019;Clark et al, 2021;Pan et al, 2021), we apply the more conservative assumption of =1, suggesting that the relative degree of selection on observed and unobserved variables is set equal to 1.…”

Section: Composite Measures Of Fuel Deprivationmentioning

confidence: 99%