IDEAS home Printed from https://ideas.repec.org/a/tec/journl/v26y2021i1p455-465.html
   My bibliography  Save this article

Malnutrition and Economic growth, Dynamic panel data analysis of developing countries

Author

Listed:
  • Sawssen Nafti

    (Faculty of Economics and Management of Sousse Laboratory, University of Sousse Street of Khalifa El Karoui Sahloul - BP ndeg 526 - 4002 Sousse Tunisia)

Abstract

This paper concentrates on the empirical analysis of the pace of change in the food security situation in developing countries. We used dynamic panel data modeling by the GMM technique of Blundel and Bond (1998) during the period which range from 1990-2018 in order to estimate the relationship between the growth rate of GDP per capita and the growth rate of under nutrition prevalence in 26 developing countries belonging to the three different regions, namely Latin America, Sub-Saharan Africa and Asia. Food security was used at a national level as measured by the prevalence of under nutrition and the magnitude of the food deficit. The results of the estimates clearly show a negative relationship between economic growth rate and under nutrition prevalence; however, the economic growth of developing countries seems to be a key factor in reducing poverty and the proportion of the undernourished population.

Suggested Citation

  • Sawssen Nafti, 2021. "Malnutrition and Economic growth, Dynamic panel data analysis of developing countries," Technium Social Sciences Journal, Technium Science, vol. 26(1), pages 455-465, Decembrie.
    • Handle: RePEc:tec:journl:v:26:y:2021:i:1:p:455-465
    DOI: https://doi.org/10.47577/tssj.v26i1.5205
    as

    Download full text from publisher

    File URL: https://techniumscience.com/index.php/socialsciences/article/view/5205/1899
    Download Restriction: no
    File URL: https://techniumscience.com/index.php/socialsciences/article/view/5205
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.47577/tssj.v26i1.5205?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Christopher F Baum & Mark E. Schaffer & Steven Stillman, 2003. "Instrumental variables and GMM: Estimation and testing," Stata Journal, StataCorp LP, vol. 3(1), pages 1-31, March.
    2. Bai, Jushan & Ng, Serena, 2010. "Instrumental Variable Estimation In A Data Rich Environment," Econometric Theory, Cambridge University Press, vol. 26(6), pages 1577-1606, December.
    3. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    4. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    5. Stephen R. Bond, 2002. "Dynamic panel data models: a guide to micro data methods and practice," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 1(2), pages 141-162, August.
    6. Stephen Bond & Anke Hoeffler, 2001. "GMM Estimation of Empirical Growth Models," Economics Series Working Papers 2001-W21, University of Oxford, Department of Economics.
    7. Stephen Bond, 2002. "Dynamic panel data models: a guide to microdata methods and practice," CeMMAP working papers CWP09/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    8. Stephen Bond & Frank Windmeijer, 2005. "Reliable Inference For Gmm Estimators? Finite Sample Properties Of Alternative Test Procedures In Linear Panel Data Models," Econometric Reviews, Taylor & Francis Journals, vol. 24(1), pages 1-37.
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    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. Fernando Mayoral & Carlos Garcimartín, 2013. "The impact of population on the reduction of steady-state disparities across Spanish regions," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 50(1), pages 49-69, February.
    2. Martin Andersson & Hans Lööf, 2009. "Learning‐by‐Exporting Revisited: The Role of Intensity and Persistence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 893-916, December.
    3. Yongfu Huang, 2011. "Private investment and financial development in a globalized world," Empirical Economics, Springer, vol. 41(1), pages 43-56, August.
    4. Coviello, Decio & Islam, Roumeen, 2006. "Does aid help improve economic institutions ?," Policy Research Working Paper Series 3990, The World Bank.
    5. Piper, Alan T., 2014. "An Investigation into Happiness, Dynamics and Adaptation," MPRA Paper 57778, University Library of Munich, Germany.
    6. Martin Andersson & Hans Lööf, 2011. "Agglomeration and productivity: evidence from firm-level data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 601-620, June.
    7. Jan F. Kiviet, 2005. "Judging Contending Estimators by Simulation: Tournaments in Dynamic Panel Data Models," Tinbergen Institute Discussion Papers 05-112/4, Tinbergen Institute.
    8. Piper, Alan T., 2014. "The Benefits, Challenges and Insights of a Dynamic Panel assessment of Life Satisfaction," MPRA Paper 59556, University Library of Munich, Germany.
    9. Alali, Walid Y., 2010. "Impact of Institutions and Policy on Economic Growth: Empirical Evidence," EconStor Preprints 269878, ZBW - Leibniz Information Centre for Economics.
    10. Borsato, Andrea & Lorentz, André, 2023. "The Kaldor–Verdoorn law at the age of robots and AI," Research Policy, Elsevier, vol. 52(10).
    11. Alan Piper, 2018. "Adult life satisfaction largely (though not wholly) contemporaneous," Discussion Papers 028, Europa-Universität Flensburg, International Institute of Management.
    12. Ulaşan, Bülent, 2012. "Cross-country growth empirics and model uncertainty: An overview," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-69.
    13. Alali, Walid Y., 2010. "Impact of Institutions and Policy on Economic Growth: Empirical Evidence," MPRA Paper 115610, University Library of Munich, Germany.
    14. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    15. Piper, Alan T., 2018. "Adult life satisfaction: largely (though not wholly) contemporaneous? A System General Method of Moments dynamic panel analysis," MPRA Paper 85601, University Library of Munich, Germany.
    16. Nguyen Thi Tuong Anh & Hung Quang Doan & Tuan Anh Bui & Nam Hoang Vu & Duong Thuy Thanh Le, 2022. "A Revisit of Motives for Chinese Outward Foreign Direct Investment: The Role of the Institution in Host Countries," SAGE Open, , vol. 12(4), pages 21582440221, December.
    17. Alandejani, Maha & Asutay, Mehmet, 2017. "Nonperforming loans in the GCC banking sectors: Does the Islamic finance matter?," Research in International Business and Finance, Elsevier, vol. 42(C), pages 832-854.
    18. Luisa Corrado & Roberta Distante, 2012. "Eating Behavior and Social Interactions from Adolescence to Adulthood," Discussion Papers 12-03, University of Copenhagen. Department of Economics.
    19. Desiderio Romero-Jordán & Pablo del Río & Cristina Peñasco, 2014. "Household electricity demand in Spanish regions. Public policy implications," Working Papers 2014/24, Institut d'Economia de Barcelona (IEB).
    20. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.

    More about this item

    Keywords

    key words: Malnutrition; food security; Alimental deficit; Economic growth;
    All these keywords.

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:tec:journl:v:26:y:2021:i:1:p:455-465. 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: Tasente Tanase The email address of this maintainer does not seem to be valid anymore. Please ask Tasente Tanase to update the entry or send us the correct address (email available below). General contact details of provider: .

    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.