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2018 | vol. 14, iss. 5 | 1003--1010
Tytuł artykułu

How Bad Are the Growth Hampering Effects of Non-Communicable Diseases? : the Case of Developing Countries

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper attempts to estimate the impact of Non-Communicable Diseases on economic growth in developing countries. In fact, the literature has confirmed the existence of causal liaisons between the epidemiological burden of diseases and macroeconomic aspects. This analysis is conducted through a dynamic panel of 29 middle-income countries around the Mediterranean basin and Central Asia over the period between 1995 and 2016 using the System Generalized Method of Moments (SGMM) to account for the potential endogeneity of the explanatory variables. The robustness and consistence of the estimates was verified by statistical tests and by the estimation of alternative versions of the basic specification.(original abstract)
Rocznik
Strony
1003--1010
Opis fizyczny
Twórcy
  • Mohammed VI Polytechnic University, Morocco
  • Cadi Ayyad University, Morocco
  • Mohammed VI Polytechnic University, Morocco
autor
  • Mohammed V University, Morocco
Bibliografia
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  • Arellano, M., & Bond, S. (1991). Some Tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The Review of Economic Studies, 58(2), 277. https://doi.org/10.2307/2297968
  • Aschengrau, A., & Seage, G. R. (2013). Essentials of epidemiology in public health. Burlington, MA: Jones & Bartlett Learning.
  • Blacher, J., Levy, B. I., Mourad, J.-J., Safar, M. E., & Bakris, G. (2016). From epidemiological transition to modern cardiovascular epidemiology: hypertension in the 21st century. The Lancet, 388, 530-532
  • Bloom, D. E., Cafiero-Fonseca, E. T., McGovern, M. E., Prettner, K., Stanciole, A., Weiss, J., ... Rosenberg, L. (2014). The macroeconomic impact of non-communicable diseases in China and India: Estimates, projections, and comparisons. The Journal of the Economics of Ageing, 4, 100-111.
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of econometrics, 87(1), 115-143.
  • Boccia, S., Villari, P., & Ricciardi, W. (Ed.). (2015). A systematic review of key issues in public health. Cham: Springer International Publishing.
  • Fischer, S. (1998). Capital account liberalization and the role of the IMF. In "Should the IMF pursue capital-account convertibility? (Essays in International Finance, No. 207, pp.1-10). Princeton, NJ: Princeton University.
  • Franco, M., Cooper, R. S., Bilal, U., & Fuster, V. (2011). Challenges and opportunities for cardiovascular disease prevention. The American Journal of Medicine, 124(2), 95-102.
  • Friis, R. H., & Sellers, T. A. (2014). Epidemiology for public health practice (5th ed). Burlington, Mass: Jones & Bartlett Learning.
  • Keogh-Brown, M. R., Jensen, H. T., Arrighi, H. M., & Smith, R. D. (2016). The Impact of Alzheimer's disease on the chinese economy. EBioMedicine, 4, 184-190.
  • Kontsevaya, A., Kalinina, A., & Oganov, R. (2013). Economic burden of cardiovascular diseases in the Russian Federation. Value in Health Regional Issues, 2(2), 199-204.
  • Mensah, G. A. (2013). Descriptive epidemiology of cardiovascular risk factors and diabetes in Sub-Saharan Africa. Progress in Cardiovascular Diseases, 56(3), 240-250.
  • Nickell, S. (1981). Biases in dynamic models with fixed effects. Econometrica, 49(6), 1417.
  • Omran, A. R. (1971). The epidemiologic transition: A theory of the epidemiology of population change. The Milbank Memorial Fund Quarterly, 49(4), 509.
  • Regmi, K., & Gee, I. (Ed.). (2016). Public Health Intelligence. Cham: Springer International Publishing.
  • Suhrcke, M., & Urban, D. (2010). Are cardiovascular diseases bad for economic growth? Health Economics, 19(12), 1478-1496.
  • Verikios, G., Dixon, P. B., Rimmer, M. T., & Harris, A. H. (2015). Improving health in an advanced economy: An economywide analysis for Australia. Economic Modelling, 46, 250-261.
  • WHO (2014). Global status report on noncommunicable diseases 2014: Attaining the nine global noncommunicable diseases targets; A shared responsibility. Geneva: World Health Organization.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171544373

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