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

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  • 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
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    References listed on IDEAS

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    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.
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    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

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