Educational expansion, inequality and poverty reduction in Brazil: A simulation study

Medeiros, Marcelo; Barbosa, Rogério Jerônimo; Carvalhaes, Flavio

doi:10.1016/j.rssm.2019.100458

Cited by 18 publications

(14 citation statements)

References 16 publications

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“…Stream 3 analyses the impact of financial development on poverty elimination (Kalwij & Verschoor, 2007;Hameed et al, 2017;Bayar, 2017;Boukhatem, 2016;Kaidi et al, 2019), the role of education, microfinance, microcredit, aid, and donation to remove poverty (Page & Shimeles, 2015;Kaya et al, 2013;Mojumder & Lu, 2013;White, 1996;Jones, 2016;Cremin & Nakabugo, 2012;Brown & James, 2020;Medeiros et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

A bibliometric analysis on poverty alleviation

Hassan

Alshater²,

Banna

et al. 2022

IJOES

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Purpose World legends and the scientific community have taken the devastating impact of poverty issue seriously which has been reflected in the growing trend of research in this area. Hence, this paper aims to conduct a bibliometric analysis on poverty alleviation literature, discuss the various dimensions of poverty alleviation and deliver some ideas for future research. Design/methodology/approach This study deploys a combined quali-quantitative method familiar as meta-literature review on 454 articles collected from the Web of Science (WoS) database with Social Science Citation Index (SSCI) coverage over the period 1971–2020. Using Rstudio, VOSviewer and Excel, the collected data have been analysed from different lenses. Findings This study considers the most contributing scientific actors like authors, journals, topics, institutions and countries as parameters for analysing articles. Based on the analysis from various perspectives, it determines five main research streams upon which it provides some potential research directions to be considered in future research. Research limitations/implications This study solely relies on the articles available in the WoS database with index in SSCI. However, it excludes analysing thousands of articles on the same topic available in other platforms. Originality/value This study provides a retrospective on the scientific works and collective efforts of scholars germane to poverty alleviation from the highest ranked journals, which would help better understand the literature development and the intellectual structure of this field.

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Section: Discussionmentioning

confidence: 99%

A bibliometric analysis on poverty alleviation

Hassan

Alshater²,

Banna

et al. 2022

IJOES

View full text Add to dashboard Cite

show abstract

“…We rank this SDG as challenging to include in systems models since there are significant challenges for modelling to address poverty across all levels of society. These challenges are addressed in a variety of ways in the social sciences literature [21][22][23]. The challenge that systems modelling has in addressing the distribution of wealth, as well as the evidence of social sciences approaches to some of these challenges, is addressed further in goal 17: partnerships towards the goals.…”

Section: Modelling the Un Sustainable Development Goalsmentioning

confidence: 99%

Embedding the United Nations sustainable development goals into energy systems analysis: expanding the food–energy–water nexus

et al. 2021

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Background There have been numerous studies that consider the nexus interactions between energy systems, land use, water use and climate adaptation and impacts. These studies have filled a gap in the literature to allow for more effective policymaking by considering the trade-offs between land use, energy infrastructure as well as the use of water for agriculture and providing energy services. Though these studies fill a significant gap in the modelling literature, we argue that more work is needed to effectively consider policy trade-offs between the 17 United Nations sustainable development goals (SDGs) to avoid missing important interactions. Results We examine the 17 SDGs individually to determine if it should be included in a modelling framework and the challenges of doing so. We show that the nexus of climate, land, energy and water needs to be expanded to consider economic well-being of both individuals and the greater economy, health benefits and impacts, as well as land use in terms of both food production and in terms of sustaining ecological diversity and natural capital. Such an expansion will allow energy systems models to better address the trade-offs and synergies inherent in the SDGs. Luckily, although there are some challenges with expanding the nexus in this way, we feel the challenges are generally modest and that many model structures can already incorporate many of these factors without significant modification. Finally, we argue that SDGs 16 and 17 cannot be met without open-source models and open data to allow for transparent analysis that can be used and reused with a low cost of entry for modellers from less well-off nations. Conclusions To effectively address the SDGs, there is a need to expand the common definition of the nexus of climate, land, energy, and water to include the synergies and trade-offs of health impacts, ecological diversity and the system requirements for human and environmental well-being. In most cases, expanding models to be able to incorporate these factors will be relatively straight forward, but open models and analysis are needed to fully support the SDGs.

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“…We rank this SDG as challenging to include in systems models since there are significant challenges for modelling to address poverty across all levels of society. These challenges are addressed in a variety of ways in the social sciences literature [21]- [23]. The challenge that systems modelling has in addressing the distribution of wealth, as well as the evidence of social sciences approaches to some of these challenges, is addressed further in goal 17: Partnerships towards the goals.…”

Section: Modelling the Un Sustainable Development Goalsmentioning

confidence: 99%

Embedding the United Nations sustainable development goals into energy systems analysis – expanding the food-energy-water nexus

Niet

Arianpoo

Kuling

et al. 2020

Preprint

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BackgroundThere have been numerous studies that consider the nexus interactions between energy systems, land use, water use and climate adaptation and impacts. These studies have filled a gap in the literature to allow for more effective policymaking by considering the trade-offs between land use, energy infrastructure as well as the use of water for agriculture and providing energy services. Though these studies fill a significant gap in the modelling literature, we argue that more work is needed to effectively consider policy trade-offs between the 17 United Nations Sustainable Development Goals (SDGs) to avoid missing important interactions.ResultsWe examine the 17 SDGs individually to determine if it should be included in a modelling framework and the challenges of doing so. We show that the nexus of climate, land, energy and water needs to be expanded to consider economic well-being of both individuals and the greater economy, health benefits and impacts, as well as land use in terms of both food production and in terms of sustaining ecological diversity and natural capital. Such an expansion will allow energy systems models to better address the trade-offs and synergies inherent in the SDGs. Luckily, although there are some challenges with expanding the nexus in this way, we feel the challenges are generally modest and that many model structures can already incorporate many of these factors without significant modification.Finally, we argue that SDGs 16 and 17 cannot be met without open-source models and open data to allow for transparent analysis that can be used and reused with a low cost of entry for modellers from less well off nations.ConclusionsTo effectively address the SDGs there is a need to expand the common definition of the nexus of climate, land, energy, and water to include the synergies and trade-offs of health impacts, ecological diversity and the system requirements for human and environmental well-being. In most cases, expanding models to be able to incorporate these factors will be relatively straight forward, but open models and analysis are needed to fully support the SDGs.

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Educational expansion, inequality and poverty reduction in Brazil: A simulation study

Cited by 18 publications

References 16 publications

A bibliometric analysis on poverty alleviation

A bibliometric analysis on poverty alleviation

Embedding the United Nations sustainable development goals into energy systems analysis: expanding the food–energy–water nexus

Embedding the United Nations sustainable development goals into energy systems analysis – expanding the food-energy-water nexus

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