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Does population health influence FDI inflows into Ghana?

Author

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  • Mustapha Immurana

Abstract

Purpose - Ghana is one of the countries instituting several measures toward attracting more Foreign Direct Investment (FDI) inflows. This is because, FDI is largely viewed as essential to socioeconomic development. However, while population health can influence FDI inflows, it has received very little attention. This study, therefore, investigates empirically, as to focusing on population health could be a useful tool in Ghana’s attempt to attract more FDI inflows. Design/methodology/approach - The study uses time series data on Ghana from 1980 to 2018 to achieve its objective. Life expectancy, death rate, infant mortality rate, under-five mortality rate and incidence of malaria are used as proxies for population health, while the Ordinary Least Square (OLS) and the Instrumental Variable Two-Stage Least Square (IV2SLS) regressions are employed as empirical estimation techniques. Findings - Using the OLS regression, except the incidence of malaria, the study finds all the other population health indicators to significantly influence FDI inflows. However, after controlling for endogeneity using the IV2SLS regression, all population health indicators are found to be significant as regards their effects on FDI inflows. Practical implications - Paying attention to population health could be an effective strategy that can be employed by policymakers in the quest to get more FDI inflows into Ghana. Originality/value - This study, to the best of our knowledge, is the first study solely devoted to Ghana, which doing so helps in devising country-specific policies with regard to the effect of population health on FDI inflows. Further, this study becomes the first to use death rate, infant mortality rate and under-five mortality rate in examining the effect of population health on FDI inflows. Thus, since there are various causes of deaths, using indicators that capture deaths from all factors helps in giving a much broader picture with regard to the FDI population health nexus. Also, this study is the first to use up to five different population health indicators in examining the effect of population health on FDI inflows, which aids in revealing whether FDI is sensitive to the population health indicator used.

Suggested Citation

  • Mustapha Immurana, 2020. "Does population health influence FDI inflows into Ghana?," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 48(2), pages 334-347, December.
  • Handle: RePEc:eme:ijsepp:ijse-05-2020-0288
    DOI: 10.1108/IJSE-05-2020-0288
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    Citations

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    Cited by:

    1. Mustapha Immurana & Micheal Kofi Boachie & Maxwell Ayindenaba Dalaba & Kofi Mintah Oware & Toby Joseph Mathew K.K. & Martin Amogre Ayanore & Hadrat Mohammed Yusif, 2021. "An empirical analysis of the effect of tobacco taxation on economic growth in 38 African countries," Journal of International Development, John Wiley & Sons, Ltd., vol. 33(8), pages 1257-1269, November.

    More about this item

    Keywords

    Population health; FDI; Ghana; OLS; IV2SLS; C32; C36; F2; I1;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation
    • F2 - International Economics - - International Factor Movements and International Business
    • I1 - Health, Education, and Welfare - - Health

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