Natural disasters, information/communication technologies, foreign direct investment and economic growth in developed countries

  • Received May 27, 2018;
    Accepted July 5, 2018;
    Published July 6, 2018
  • Author(s)
    Nadia Benali , Rochdi Feki
  • DOI
    http://dx.doi.org/10.21511/ee.09(2).2018.06
  • Article Info
    Volume 9 2018, Issue #2, pp. 80-87
  • TO CITE АНОТАЦІЯ
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    4 articles
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

This paper investigates the causal relationship between natural disasters (DMS), information and communication technologies (ICT), foreign direct investment (FDI) and economic growth (GDP per capita) for 10 developed countries over the period 1990 to 2016. Panel DOLS and FMOLS results show that there is a positive relationship running from ICT to natural disasters and to foreign direct investment. In addition, ICT have a positive effect on GDP per capita. VECM Granger causality analysis results reveal a unidirectional causality in the short and long term from ICT to natural disaster and to FDI at the 5% and 10% levels. Therefore, one may note that there is a unidirectional relationship running from natural disaster to GDP and a bidirectional relationship between FDI and GDP.

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    • Table 1. Descriptive analysis
    • Table 2. Panel unit root tests results: series in level
    • Table 3. Panel unit root tests results: series in first difference
    • Table 4. Pedroni cointegration test
    • Table 5. Kao residual cointegration test result
    • Table 6. FMOLS and DOLS
    • Table 7. The VECM Granger causality
    • Anuchitworawong, H., & Thampanishvong, K. (2015). Determinants of foreign direct investment in Thailand: Does natural disaster matter? International Journal of Disaster Risk Reduction, 14, 312-321.
    • Becklumb, (2010). Changements climatiques et migrations forcée, le rôle du Canada. Parlement du Canada.
    • Benali N., & Saidi. K. (2017). A robust analysis of the relationship between natural disasters, electricity and economic growth in 41 countries. Journal of Economic Development, 42, 3.
    • Benali, N., & Abdelkafi, I., & Feki, R. (2018). Natural-disaster shocks and government's behavior: Evidence from middle income Countries. International Journal of Disaster Risk Reduction, 27, 1-6.
    • Benali, N., Ben Mbarek, M., & Feki, R. (2017). Natural Disaster, Government Revenues and Expenditures: Evidence from High and Middle-Income Countries. Journal of the Knowledge Economy, 1-16.
    • Cavallo E., & Noy, I. (2010). The Economics of Natural Disasters: A Survey (IDB Working Paper series 124).
    • Costantini, V., & Martini, C. (2010). The causality between energy consumption and economic growth: a multi-sectoral analysis using non-stationary cointegrated panel data. Energy Economics, 32, 591-603.
    • Cuaresma, J. C., Hlouskova, J., & Obersteiner, M. (2008). Natural Disasters as Creative Destruction? Evidence from Developing Countries. Economic Inquiry, 46, 214-226.
    • Cuñado, J., & Ferreira, S. (2014). The macroeconomic impacts of natural disasters: the case of floods. Land Econ., 90(1), 149-168.
    • Fakher, A. (2016). The Impact of Investment in ICT Sector on Foreign Direct Investment: Applied Study on Egypt. Review of Integrative Business and Economics Research, 5(2), 151-166.
    • Granger, C. W. J. (1988). Causality, cointegration and control. Journal of Economic Dynamics and Control, 12, 551-559.
    • Hallegatte, S., & Dumas, P. (2009). Can Natural Disasters have Positive Consequences? Investigating the Role of Embodied Technical Change. Ecological Economics, 68, 777-786.
    • Hansen, H., & Rand, J. (2006). On the causal links between FDI and growth in developing countries. The World Economy, 29, 21-41.
    • Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. J. Econ., 115, 53e74.
    • Jemli, R., Chtourou, N., Feki R., & Bazin D. (2012). La survenue des catastrophes naturelles: classification des variables explicatives par les réseaux de neurones. Ethique et économie.
    • John, W. C., Mitomoa, H., Otsuka, T., & Stefan, J. (2015). The effects of ICT and mass media in post-disaster recovery – A two model case study of the Great East Japan Earthquake. Telecommunications Policy, 39, 515-532.
    • Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. J. Econ., 90, 1e44.
    • Levin, A., Lin, C. F., & Chu, C. (2002). Unit root tests in panel data: asymptotic and finite sample Properties. J. Econ., 108, 1e24.
    • Mahmoodi, M., & Mahmoodi, E. (2016). Foreign direct investment, exports and economic growth: evidence from two panels of developing countries. Economic Research – Ekonomska Istraživanja, 29(1), 938-949.
    • Mark, N. C., & Sul, D. (2002). Cointegration vector estimation by panel DOLS and long-run money demand (NBER Technical Working Papers 0287). National Bureau of Economic Research, Inc.
    • Miankhel, A. K., Thangavelu, S. M., & Kalirajan, K. (2009). Foreign direct investment, exports, and economic growth in selected emerging countries: Multivariate VAR analysis (MPRA Paper, No. 22763).
    • Noy, I. (2009). The Macroeconomic Consequences of Disasters. Journal of Development Economics, 88, 221-231.
    • Omri, A., & Kahouli, B. (2014). Causal relationships between energy consumption, foreign direct investment and economic growth: Fresh evidence from dynamic simultaneous-equations models. Energy Policy, 67, 913-922.
    • Pedroni, P. (1997). Panel Cointegration, Asymptotic and Finite Sample Properties of Pooled Time Series Tests with an Application to the PPP Hypothesis: New Results (Working Paper in Economics). Indiana University.
    • Pedroni, P. (1999). Critical values for cointegration tests in heterogeneous panels with multiple regressors. Oxf. Bull. Econ. Stat. 61, 635-670.
    • Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Rev. Econ. Stat., 83, 727-731.
    • Pedroni, P. (2004). Panel cointegration. Asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econ. Theory, 20, 597-625.
    • Red Cross Report (2010). Tsunami five-year progress report.
    • Samarajiva, R., & Waidyanatha, N. (2009). Two complementary mobile technologies for disaster warning. Info, 11(2), 58-65.
    • Sawada, Y., Bhattacharyay, R., & Kotera, T. (2011). Aggregate Impacts of Natural and Man-made Disasters: A quantitative comparison (RIETI Discussion Paper Series 11-E-023).
    • Shklovski, I., Palen, L., & Sutton, J. (2008). Finding community through information and communication technology in disaster response (Conference Paper).
    • Skidmore, M. and & Toya, H. (2002). Do Natural Disasters Promote Long-run Growth? Economic Inquiry, 40(4), 664-687.
    • Stanley, T. D., Doucouliagos, C., & Steel, P. (2015). Does ICT Generate Economic Growth? A Meta Regression Analysis. Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance.
    • Toya, H., & Skidmore, M. (2015). Information/communication technology and natural disaster vulnerability. Economics Letters, 137, 143-145.
    • United Nations International Strategy for Disaster Reduction (UNISDR) Report (2015). Towards a post-2015 framework for disaster risk reduction.
    • United Nations Report (2010). Situation, challenges and outlook.
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