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Foreign Aid, Terrorism And Growth: Conditional Evidence From Quantile Regression

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  • Simplice A. ASONGU
  • Jacinta NWACHUKWU
  • Nicholas BIEKPE

Abstract

In this study, we investigate the role of development assistance in reducing a hypothetically negative impact of terrorism on economic growth, using a panel of 78 developing nations with data for the period 1984–2008. The empirical evidence is based on interactive quantile regressions. Domestic, transnational, unclear and total terrorism dynamics are employed while development assistance measurements comprised bilateral and multilateral aid variables. With regard to the investigated hypothesis, we consistently confirm that: (i) In quantiles where terrorism is found to increase (decrease) economic growth, its interaction with foreign aid decreases (increases) economic growth. (ii) Comparing thresholds of the modifying aid variables for which the hypothesis is either rejected or accepted reveals that higher levels of multilateral (bilateral) aid are needed to reverse the negative effect of total (unclear) terrorism on growth, than the quantity needed to reverse the positive impact of transnational (domestic and total) terrorism(s) on growth. (iii) There is scant evidence of positive net effects. Overall the findings broadly indicate that foreign aid is a necessary but not a sufficient policy tool for completely dampening the effects of terrorism on economic growth.

Suggested Citation

  • Simplice A. ASONGU & Jacinta NWACHUKWU & Nicholas BIEKPE, 2019. "Foreign Aid, Terrorism And Growth: Conditional Evidence From Quantile Regression," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 90(3), pages 457-486, September.
    • Handle: RePEc:bla:annpce:v:90:y:2019:i:3:p:457-486
    DOI: 10.1111/apce.12235
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    Cited by:

    1. Md Ismail Hossain & Md Istiak Hossain & Mollah Aminul Islam & Md Reza Sultanuzzaman, 2022. "Does Foreign Aid Have an Expected Role in the Economic Growth of Bangladesh? An Analysis in ARDL Approach," International Journal of Economics and Financial Issues, Econjournals, vol. 12(6), pages 113-126, November.
    2. Chukwuemeka Valentine Okolo & Jun Wen & Kibir Kolani, 2024. "Research Assessment on the Extreme Social Events in Africa—Evidence from a Bibliometric Analysis Using Web of Science and CiteSpace," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 11449-11494, September.

    More about this item

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • F23 - International Economics - - International Factor Movements and International Business - - - Multinational Firms; International Business
    • F35 - International Economics - - International Finance - - - Foreign Aid
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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