Infrastructure and household poverty in Brazil: A regional approach using multilevel models

Medeiros, Victor; Ribeiro, Rafael Saulo Marques; Amaral, Pedro

doi:10.1016/j.worlddev.2020.105118

Cited by 53 publications

(50 citation statements)

References 42 publications

(43 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Manifold studies have investigated the importance of infrastructure on economic growth, poverty, productivity, trade and innovation in a regional approach (Agrawal, Galasso and Oettl , 2017;Arbués et al, 2015;Cosci and Mirra, 2017;Fingleton and Szumilo, 2019;Hong, Chu and Wang, 2011;Jiwattanakulpaisarn et al, 2010;Medeiros, Ribeiro and Amaral, 2020;Wan and Zhang;Zhang and Ji, 2019). Our study sheds some light on the role of roads on local university-industry collaboration.…”

Section: Related Literaturementioning

confidence: 99%

“…Other issue that has been raised by the literature on infrastructure is the heterogeneous effect of the quality of infrastructure services Medeiros, Ribeiro and Amaral, 2020). Poor quality highways may increase the number of accidents and force individuals to adopt other modes of transportation, changing the expected effect of highways, for example.…”

Section: Infrastructure Qualitymentioning

confidence: 99%

“…Since innovation is considered one of the main drivers of economic growth and regions have different infrastructure endowments, investments in road infrastructure may be a key policy measure with the aim of promoting a sustained and regionally balanced economic growth. Several empirical studies have proven the role of infrastructure on economic growth, productivity, employment, trade and poverty (Arbués et al, 2015;Cosci and Mirra, 2017;Deng et al, 2014;Fingleton and Szumilo, 2019;Hong, Chu and Wang, 2011;Jiwattanakulpaisarn et al, 2010;Medeiros, Ribeiro and Amaral, 2020;Wan and Zhang;Zhang and Ji, 2019). However, few studies have investigated the role of transportation infrastructure in promoting innovation and expanding knowledge flows.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Transportation infrastructure and University-Industry collaborations: regional-level evidence from Brazil

Medeiros¹,

Stein²,

Ribeiro³

et al. 2021

Blucher Engineering Proceedings

Self Cite

View full text Add to dashboard Cite

As universidades têm desempenhado um papel importante na promoção da inovação no nível da empresa. As interações universidade-empresa são assunto de crescente interesse nos estudos sobre inovação. A literatura identificou que spillovers de conhecimento são limitados no espaço. Assim, uma infraestrutura de transporte adequada pode amplificar transbordamentos de conhecimento, conectando locais e promovendo a difusão do conhecimento. Neste trabalho, examinamos o impacto de um aumento no provimento de estradas sobre as interações universidade-empresa no Brasil, usando modelos de variáveis instrumentais para tratar possíveis problemas de endogeneidade. Nossos resultados sugerem que rodovias impactam positivamente as interações U-E. Também mostramos que os efeitos das estradas nas interações U-E locais são maiores para empresas e grupos de pesquisa de pequeno porte, grupos de pesquisa de alta qualidade e microrregiões líderes. Além disso, encontramos que a rede de estradas pode estar concentrando espacialmente os fluxos de conhecimento no Brasil.

show abstract

Section: Related Literaturementioning

confidence: 99%

Section: Infrastructure Qualitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Transportation infrastructure and University-Industry collaborations: regional-level evidence from Brazil

Medeiros¹,

Stein²,

Ribeiro³

et al. 2021

Blucher Engineering Proceedings

Self Cite

View full text Add to dashboard Cite

show abstract

“…Different poverty research topics have been addressed in previous studies (Figure 2c). Most of them (41%) investigated the impacts of socioeconomic activities on poverty from a variety of perspectives, including fiscal policies (e.g., cash transfer program (Gilliland et al, 2019), government redistributive policies (Mukarati et al, 2020;Salotti and Trecroci, 2018), tax reforms (Feltenstein et al, 2017;Llambi et al, 2016), public pension system (Inagaki, 2018), childcare policy (Cockburn et al, 2016)), trade liberalization policies (Liyanaarachchi et al, 2016), financial crises (Antoniades et al, 2020), and public investment adjustments in tourism (Banerjee et al, 2015), energy (Tiberti et al, 2017), and infrastructure (Medeiros et al, 2021). We found that economic growth, trade liberalization, and cash transfer have positive impacts on poverty reduction, in which the cash transfer has a significant impact in the short term, but has a limited role in the long run.…”

Section: Bibliometric Informationmentioning

confidence: 99%

A review of model-based scenario analysis of poverty for informing sustainability

Liu¹,

Guo²,

Gao³

et al. 2021

Preprint

View full text Add to dashboard Cite

Ending poverty in all its forms everywhere is the first goal being targeted by the United Nations 2030 Agenda for Sustainable Development. Poverty eradication is a long-term process that faces the challenges of many uncertainties and complex interactions with other Sustainable Development Goals (SDGs). In order to better understand poverty and contribute to addressing poverty in a sustainable manner, this paper aims to conduct a systematic review of model-based analysis for poverty scenario in the context of SDGs. We first review 144 studies from the perspectives of bibliometric information (i.e., publication types, research topics for poverty, research objects, research scales and geographic locations) and models information for poverty scenario analysis (i.e., model types, purposes, states, temporal and spatial range, sectors considered, poverty and other SDGs indicators). Second, we discuss the pros and cons of different types of models and identify seven representative models. We also discuss the synergies and trade-offs between poverty and other SDGs. Finally, we identify four potential research gaps in model-based poverty scenario analysis and provide suggestions for future research. The review shows that poverty scenario analysis was carried out mainly from a single perspective, such as economic, ecological, and agricultural. Few studies used effective models to analyze poverty under an integrated interactions analysis of multiple sectors. Comprehensive multi-sector models are needed for global and regional poverty scenario analysis over the medium- or long-term to enhance the ability of analyzing the combined effects, synergies, and trade-offs between poverty and a variety of other SDGs.

show abstract

“…Gaussian Process Subset Scanning (GPSS) detects community behavioral anomalies that correspond to significant public health events (Neill & Herlands, 2018). In addition, maintaining low levels of investment in infrastructure in the poorest areas can perpetuate regional inequality and poverty levels in the country (Medeiros et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Fine Moving Value in Behavioral Anomalies to Minimize Poverty in Disadvantaged Areas

Hidayat

Galushasti

Kurniawan

et al. 2021

REASER

View full text Add to dashboard Cite

Indonesia isa wealthycountry with resources,be theyhuman resources or naturalresources. However,even ifIndonesia is a resource-rich country,itcontinues to work to solve the problem of poverty.Unfortunately, there is no strategic solution that can alleviate poverty.Deprivationtriggersa behavioral anomaly in society,especially in disadvantaged areas. This research aims to determine the effect of community behavior on poverty alleviation in underprivileged areas.The study is based on a subtle value-moving approach to behavioral irregularities of people in disadvantaged areas.This study is included inaquantitative research with regional populations in Indonesia designated as lagging regions in 2020-2021. The sample of respondents included110 people from areas/provinces designated as lagging areas. Research instruments use data collection in the form of observations and in-depth interviews. Four hypotheses were developedto explain the influence between causal relationships through hypothesis testing and analyzed usingStructural Equation Modeling with the help of LISREL 8.8 software. The analysis results ofthis study showed that through a smooth-moving value approach,there was a significant favorable influence of behavioral anomalies onthe poverty rate. The study concluded that this movement of subtle values could be an attempt to raise awareness and change in the emergence of behavioral anomalies of people in disadvantaged areas.This study contributes to the understanding that the value of smooth-moving behavior can be an attempt to improve the emergence of societal behavioral anomalies. This ingenious solution can strengthen values, attitudes, mental and moral systems to reduce poverty in disadvantaged areas.

show abstract

Infrastructure and household poverty in Brazil: A regional approach using multilevel models

Cited by 53 publications

References 42 publications

Transportation infrastructure and University-Industry collaborations: regional-level evidence from Brazil

Transportation infrastructure and University-Industry collaborations: regional-level evidence from Brazil

A review of model-based scenario analysis of poverty for informing sustainability

Fine Moving Value in Behavioral Anomalies to Minimize Poverty in Disadvantaged Areas

Contact Info

Product

Resources

About