Journal ArticleDOI
The persistence of energy poverty: A dynamic probit analysis
Yonas Alem,Eyoual Demeke +1 more
TLDR
In this paper, the authors used a dynamic probit estimator on three rounds of panel data from urban Ethiopia to estimate a model of the probability of being energy poor and investigate the persistence of energy poverty.About:
This article is published in Energy Economics.The article was published on 2020-08-01. It has received 45 citations till now. The article focuses on the topics: Energy poverty & Energy transition.read more
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Factors affecting carbon emissions in emerging economies in the context of a green recovery: Implications for sustainable development goals
Zhang Yu,Syed Abdul Rehman Khan,Pablo Samaniego Ponce,Ana Beatriz Lopes de Sousa Jabbour,Charbel José Chiappetta Jabbour +4 more
TL;DR: In this paper , a panel quantile regression is used to examine the heterogeneity of the distribution among various CO2 quantiles, and the results show that energy poverty should be reduced as a priority in developing countries in order to achieve SDG7 and reduce CO2 emissions.
Journal ArticleDOI
Determinants, persistence, and dynamics of energy poverty: An empirical assessment using German household survey data
TL;DR: The authors examined the determinants, persistence, and dynamics of energy poverty using seven waves of the German Socio-economic Panel (GSOEP) using a dynamic random effects probit model.
Journal ArticleDOI
Energy poverty and public health: Global evidence
TL;DR: In this paper, the authors investigated the effect of energy poverty on public health and found that living standards can serve as a channel through which energy poverty influences health, and that countries with higher standards of living weaken the negative effect of environmental degradation.
Journal ArticleDOI
Can renewable energy technology innovation alleviate energy poverty? Perspective from the marketization level
TL;DR: Wang et al. as discussed by the authors investigated how renewable energy technology innovation (RETI) alleviates energy poverty, also examining the role of marketization in the alleviation effect. And according to the nonparametric relationship between RETI and the EPI, they proposed corresponding policy recommendations to alleviate household energy poverty.
Journal ArticleDOI
Multidimensional energy poverty and human capital development: Empirical evidence from India
TL;DR: In this article, the authors used household-level survey data from India to construct a multidimensional measure of energy poverty, which focuses on quantifying energy deprivation, covering both accessibility to and affordability of a broad range of energy forms.
References
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Transforming our world : The 2030 Agenda for Sustainable Development
TL;DR: The Scoping meeting on collaboration between Regional Seas Programmes and Regional Fisheries Bodies in the Southwest Indian Ocean is described in this article, where the authors propose a framework for collaboration between regional sea programmes and regional fisheries bodies in the Indian Ocean.
Posted Content
Econometric Methods for Fractional Response Variables with an Application to 401(K) Plan Participation Rates
TL;DR: In this paper, simple quasi-likelihood methods for estimating regression models with a fractional dependent variable and for performing asymptotically valid inference are proposed, and they apply these methods to a data set of employee participation rates in 401(k) pension plans.
Journal ArticleDOI
Econometric methods for fractional response variables with an application to 401 (k) plan participation rates
TL;DR: In this paper, the authors develop attractive functional forms and simple quasi-likelihood estimation methods for regression models with a fractional dependent variable, and apply these methods to a data set of employee participation rates in 401 (k) pension plans.
Journal ArticleDOI
Proximate causes and underlying driving forces of tropical deforestation.
Helmut Geist,Eric F. Lambin +1 more
TL;DR: Tropical deforestation is driven by identifiable regional patterns of causal factor synergies, of which the most prominent are economic factors, institutions, national policies, and remote influences driving agricultural expansion, wood extraction, and infrastructure extension (at the proximate level).