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

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  • Victor Medeiros

    (UFMG)

  • Rafael Saulo Marques Ribeiro

    (UFMG)

  • Pedro Vasconcelos Maia do Amaral

    (UFMG)

Abstract

Many scholars have highlighted the role of infrastructure investments in promoting economic growth along with poverty reduction and social inclusion. Developing economies show substantial discrepancies in terms of infrastructure in the rural-urban, regional and income dimensions. These disparities may be reinforcing a social and economic framework marked by a large portion of the population living in poverty. In a scenario characterized by immense regional and income heterogeneities, the present study aims to evaluate the effect of infrastructure investments on household poverty in Brazil. In addition, we verify whether these effects vary according to infrastructure characteristics such as provision, quality and access. The analysis is based on detailed household microdata from the Demographic Census and infrastructure variables at the municipal and state levels, captured from a variety of data sources. An additional contribution of the paper is the novel application of multilevel logistic models to investigate the relationship between infrastructure and poverty at household, municipal and state levels. Our results demonstrate negative effects of the infrastructure provision on poverty. These effects, in turn, are strengthened when infrastructure quality and access are greater, which allows us to infer about the importance of public policies aimed at achieving lower inequalities in access to basic sanitation, Internet, transportation, telephone services and electricity. These policies should also take into account the infrastructure heterogeneities at the regional level, since such heterogeneities have been important in explaining household poverty.

Suggested Citation

  • Victor Medeiros & Rafael Saulo Marques Ribeiro & Pedro Vasconcelos Maia do Amaral, 2019. "Infrastructure and household poverty in Brazil: a regional approach using multilevel models," Textos para Discussão Cedeplar-UFMG 607, Cedeplar, Universidade Federal de Minas Gerais.
  • Handle: RePEc:cdp:texdis:td607
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    Cited by:

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    2. Wang, Yongpei & Guan, Zhongyu & Zhang, Qian, 2023. "Railway opening and carbon emissions in distressed areas: Evidence from China's state-level poverty-stricken counties," Transport Policy, Elsevier, vol. 130(C), pages 55-67.
    3. Oughton, Edward J. & Comini, Niccolò & Foster, Vivien & Hall, Jim W., 2022. "Policy choices can help keep 4G and 5G universal broadband affordable," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    4. Zhang, Jiaping & Zhang, Huirong & Gong, Xiaomei, 2022. "Mobile payment and rural household consumption: Evidence from China," Telecommunications Policy, Elsevier, vol. 46(3).
    5. Aparajita Dasgupta & Anahita Karandikar & Devvrat Raghav, 2022. "Road Access, Fertility and Child Health in Rural India," Working Papers 86, Ashoka University, Department of Economics.
    6. Jorge Mora‐Rivera & Isael Fierros‐González & Fernando García‐Mora, 2024. "Determinants of poverty among Indigenous people in Mexico's Guerrero Mountain Region," Development Policy Review, Overseas Development Institute, vol. 42(1), January.
    7. Aparajita Dasgupta & Anahita Karandikar & Devvrat Raghav, 2024. "Road Access, Fertility, and Child Health in Rural India," Population and Development Review, The Population Council, Inc., vol. 50(1), pages 117-147, March.
    8. Edward J Oughton & Niccol`o Comini & Vivien Foster & Jim W Hall, 2021. "Policy choices can help keep 4G and 5G universal broadband affordable," Papers 2101.07820, arXiv.org, revised Feb 2021.
    9. Victor Medeiros & Rafael Saulo Marques Ribeiro & Pedro Vasconscelos Maia do Amaral, 2022. "Infrastructure and income inequality: An application to the Brazilian case using hierarchical spatial autoregressive models," Journal of Regional Science, Wiley Blackwell, vol. 62(5), pages 1467-1486, November.
    10. Kunzai Niu & Hengzhou Xu, 2023. "Urban–rural Integration and Poverty: Different Roles of Urban–rural Integration in Reducing Rural and Urban Poverty in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 165(3), pages 737-757, February.
    11. Bovick Wandja Yemba & Rafael S. M. Ribeiro & Victor Medeiros, 2020. "Infrastructure and manufacturing in Sub-Saharan Africa: An empirical analysis using dynamic panel data models," PSL Quarterly Review, Economia civile, vol. 73(294), pages 261-276.
    12. Romano, Patrícia Ribeiro & Bezerra Sampaio, Raquel Menezes, 2023. "Road concessions: Evidence of the effects of improving the transport infrastructure on economic development in Brazil," Transport Policy, Elsevier, vol. 142(C), pages 115-124.
    13. Yang Zhou & Chunyang Tong & Yongsheng Wang, 2022. "Road construction, economic growth, and poverty alleviation in China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1306-1332, September.

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    Keywords

    infrastructure; household poverty; Brazil; multilevel approach; spatial heterogeneity.;
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