IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-01691436.html
   My bibliography  Save this paper

Understanding the effect of international remittances on undernourishment in Sub-Saharan Africa: A spatial model approach

Author

Listed:
  • Hamed Sambo

    (CEPN - Centre d'Economie de l'Université Paris Nord - UP13 - Université Paris 13 - USPC - Université Sorbonne Paris Cité - CNRS - Centre National de la Recherche Scientifique)

Abstract

This paper investigates the impact of remittances on undernourishment in Sub-Saharan Africa using panel data from 35 countries spanning the years 2001-2011. The panel Spatial Error Model (SEM) was used after taking into account the spatial interaction between countries. We find that remittances contribute to the reduction of undernourishment in Sub-Saharan African. However, the elasticity of calorie consumption to remittances is narrow. Moreover, the impact of remittances is more pronounced in intermediate income deciles countries than in the countries in lower income deciles and higher income deciles. Abstract This paper investigates the impact of remittances on undernourishment in Sub-Saharan Africa using panel data from 35 countries spanning the years 2001-2011. The panel Spatial Error Model (SEM) was used after taking into account the spatial interaction between countries. We find that remittances contribute to the reduction of undernourishment in Sub-Saharan African. However, the elasticity of calorie consumption to remittances is narrow. Moreover, the impact of remittances is more pronounced in intermediate income deciles countries than in the countries in lower income deciles and higher income deciles.

Suggested Citation

  • Hamed Sambo, 2018. "Understanding the effect of international remittances on undernourishment in Sub-Saharan Africa: A spatial model approach," Working Papers hal-01691436, HAL.
    • Handle: RePEc:hal:wpaper:hal-01691436
    Note: View the original document on HAL open archive server: https://hal.science/hal-01691436
    as

    Download full text from publisher

    File URL: https://hal.science/hal-01691436/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
    2. Anríquez, Gustavo & Daidone, Silvio & Mane, Erdgin, 2013. "Rising food prices and undernourishment: A cross-country inquiry," Food Policy, Elsevier, vol. 38(C), pages 190-202.
    3. Adams, Richard H. & Cuecuecha, Alfredo, 2013. "The Impact of Remittances on Investment and Poverty in Ghana," World Development, Elsevier, vol. 50(C), pages 24-40.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Joel OUDINET, 2021. "Introduction - L’impact de la migration sur le développement inclusif," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 53, pages 5-21.
    2. Joel Oudinet, 2021. "L’impact de la migration sur le développement inclusif," Post-Print hal-04065384, HAL.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hamed Sambo, 2018. "Understanding the effect of international remittances on undernourishment in Sub-Saharan Africa: A spatial model approach," CEPN Working Papers hal-01691436, HAL.
    2. Hamed SAMBO, 2018. "Understanding the effect of international remittances on undernourishment in Sub-Saharan Africa: A spatial model approach," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 47, pages 43-61.
    3. Hamed Sambo, 2017. "Understanding the effect of international remittances on undernourishment in Sub-Saharan Africa: A spatial model approach," CEPN Working Papers 2017-21, Centre d'Economie de l'Université de Paris Nord.
    4. Hajer Habib, 2023. "Remittances and Labor Supply: Evidence from Tunisia," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 14(2), pages 1870-1899, June.
    5. María Ayuda & Fernando Collantes & Vicente Pinilla, 2010. "From locational fundamentals to increasing returns: the spatial concentration of population in Spain, 1787–2000," Journal of Geographical Systems, Springer, vol. 12(1), pages 25-50, March.
    6. Ruaa Al Juboori & Divya S. Subramaniam & Leslie Hinyard & J. S. Onésimo Sandoval, 2023. "Unveiling Spatial Associations between COVID-19 Severe Health Index, Racial/Ethnic Composition, and Community Factors in the United States," IJERPH, MDPI, vol. 20(17), pages 1-17, August.
    7. Debelo Bedada Yadeta & Fetene Bogale Hunegnaw, 2022. "Effect of International Remittance on Economic Growth: Empirical Evidence from Ethiopia," Journal of International Migration and Integration, Springer, vol. 23(2), pages 383-402, June.
    8. Junming Li & Meijun Jin & Honglin Li, 2019. "Exploring Spatial Influence of Remotely Sensed PM 2.5 Concentration Using a Developed Deep Convolutional Neural Network Model," IJERPH, MDPI, vol. 16(3), pages 1-11, February.
    9. Kristien Werck & Bruno Heyndels & Benny Geys, 2008. "The impact of ‘central places’ on spatial spending patterns: evidence from Flemish local government cultural expenditures," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 32(1), pages 35-58, March.
    10. Pede, Valerien O. & Florax, Raymond J.G.M. & Holt, Matthew T., 2009. "A Spatial Econometric Star Model With An Application To U.S. County Economic Growth, 1969–2003," Working papers 48117, Purdue University, Department of Agricultural Economics.
    11. Juergen Deppner & Marcelo Cajias, 2024. "Accounting for Spatial Autocorrelation in Algorithm-Driven Hedonic Models: A Spatial Cross-Validation Approach," The Journal of Real Estate Finance and Economics, Springer, vol. 68(2), pages 235-273, February.
    12. Zheng, Xinye & Li, Fanghua & Song, Shunfeng & Yu, Yihua, 2013. "Central government's infrastructure investment across Chinese regions: A dynamic spatial panel data approach," China Economic Review, Elsevier, vol. 27(C), pages 264-276.
    13. Yuping Deng & Helian Xu, 2015. "International Direct Investment and Transboundary Pollution: An Empirical Analysis of Complex Networks," Sustainability, MDPI, vol. 7(4), pages 1-25, April.
    14. Simonetta Longhi & Peter Nijkamp & Jacques Poot, 2006. "Spatial Heterogeneity And The Wage Curve Revisited," Journal of Regional Science, Wiley Blackwell, vol. 46(4), pages 707-731, October.
    15. Eveline Van Leeuwen & Sandy Dall'erba, 2000. "Does Agricultural Employment Benefit From EU Support?," Regional and Urban Modeling 283600099, EcoMod.
    16. Tapsuwan, Sorada & Polyakov, Maksym & Bark, Rosalind & Nolan, Martin, 2015. "Valuing the Barmah–Millewa Forest and in stream river flows: A spatial heteroskedasticity and autocorrelation consistent (SHAC) approach," Ecological Economics, Elsevier, vol. 110(C), pages 98-105.
    17. Cassette, Aurélie & Paty, Sonia, 2006. "La concurrence fiscale entre communes est-elle plus intense en milieu urbain qu’en milieu rural ?," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 78.
    18. Vassilis Tselios, 2008. "Income and educational inequalities in the regions of the European Union: Geographical spillovers under welfare state restrictions," Papers in Regional Science, Wiley Blackwell, vol. 87(3), pages 403-430, August.
    19. Mur, Jesús & Angulo, Ana, 2009. "Model selection strategies in a spatial setting: Some additional results," Regional Science and Urban Economics, Elsevier, vol. 39(2), pages 200-213, March.
    20. Wang, Xiaoxi & Zhang, Yaojun & Yu, Danlin & Qi, Jinghan & Li, Shujing, 2022. "Investigating the spatiotemporal pattern of urban vibrancy and its determinants: Spatial big data analyses in Beijing, China," Land Use Policy, Elsevier, vol. 119(C).

    More about this item

    Keywords

    Remittances; Undernourishment; Spatial Error Model; Sub-Saharan Africa;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:wpaper:hal-01691436. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.