Economic growth and under-five malaria mortality in Tanzania mainland: from correlation analysis to causality


  • Mwoya Byaro University of Zambia
  • Abeli Kinyondo Dar es Salaam University College of Education
  • Patrick Musonda University of Zambia





Under-Five Malaria Mortality, GDP Per Capita and Granger Causality Test.


This paper establishes empirical evidence related with correlation and causality between economic growth (as measured by GDP per capita) and under-five malaria mortality in Tanzania Mainland. The goal is to contribute knowledge on the existing relationship between economic growth and under-five malaria mortality. Correlation and scatter regression analysis plot were employed to find out the relationship among the (GDP per Capita), Insecticides Treated Nets (ITNs) distributed, Human Resources (physicians and nurses) and under-five malaria mortality from the year 2004 to 2015. Moreover, Granger Causality test was applied to test the causal link between the economic growth and under-five malaria Mortality. The economic growth (as measured by GDP per Capita) and number of ITNs distributed under various malaria campaigns have significant unidirectional causality to under-five malaria mortality while there is no causality evidence between human resource for health (physicians and nurses) and under-five malaria mortality despite the observed correlation relationship. Since economic growth and ITNs have unidirectional causal link with under-five malaria mortality, it implies that any changes in GDP per Capita and ITNs will change under-five malaria mortality. The researchers and policy makers need to gather more evidence on ITNs and economic growth to assess the risk of under-five malaria mortality to inform decision making.


[1] Armstrong, C. E., Martinez-Alvarez, M., Singh, N. S., John, T., Magoma, M., & Holmes, H. A., et al. (2016). Subnational Variation for Care at Birth in Tanzania. Is this Explained by People, Place, Money Or Drugs? BMC Public Health, 16 (2), 795.

[2] Asiedu, E., Gaekwad, N. B., Nanivazo, M., Nkusu, M., & Yi, J. (2015). On the Impact of Income per Capital on Health Outcomes: Is Africa Different? Journal of Economic Literature, JEL F23, D72.

[3] Atieli, H. E., Zhou, G., Afrane, Y., Githeko, A. K., Lee, M. C., Mwanzo, I., et al. (2011). Insecticides Treated Nets (ITN) Ownership, Usage and Malaria Transmission in the Highlands of Western Kenya. Journal of Parasites and Vectors, 4(1), 113.

[4] Barro, R. (1991). Economic Growth in a Cross-Section of Countries. Quarterly Journal of Economics, 106(2), 407-443.

[5] Barro, R. (2003). Determinants of Economic Growth in a Panel of Countries. Annals of Economics and Finance, 4,231-274.

[6] Bhargava, A. (1997). Nutritional Status and the Allocation of Time in Rwandese Households. Journal of Econometrics, 77(1), 277-295.

[7] Bhargava, A., Jamison, D.T., Lau, L.J., Murray, C.J.L. (2001).Modeling the Effects of Health on Economic Growth. Journal of Health Economics, 20(3), 423-440.

[8] Bloom, D.E., Canning, D. & Sevilla, J. (2004). The Effect of Health on Economic Growth: A production Function Approach. World Development, 32(1), 1-13.

[9] Bloom,D.E., and Canning,D.(2001).Cumulative Causality, Economic Growth, and the Demographic Transition, in Birdsall N.,A.C. Kelley,S.W. Sinding (eds.),2001: Population Matters: Demographic Change, Economic Growth, and Poverty in the Developing World, Oxford: Oxford University Press.

[10] Byaro, M., &Musonda, P. (2016). Determinats of Infant and under five mortality Differentials in Tanzanian Zones: Evidence from Panel Data Analysis. Journal of Economics and Sustainable Developments, 7 (18), 113-123.

[11] Byaro, M., &Musonda, P. (2017). Per Capita Income and Public Health Expenditure: What Makes Good Child Health Outcomes in Tanzania? A comparison between Frequentist and Bayesian Approach (1993-2013). International Journal of Health. 5(1), 74-81.

[12] Conway, Roger, K. et al. (1984). The Impossibility of Causality Testing. Agricultural Economics Research, 36(3), 1-19.

[13] Deluna, R. J., & Peralta, T. F. (2014). Public Health Expenditures, Income and Health Outcomes in the Philippines. MPRA, 1 -20.

[14] Filmer, D., & Pritchett, L. (1999). The Impact of Public Spending on Health: Does Money Matter? Social Science and Medicine, 49 (10), 1309-1323.

[15] Geweke, John et al. (1983). Comparing Alternatives Tests of Causality in Temporal Systems: Analytical Results and Experimental Evidence. Journal of Econometrics, 21(2), 161-194.

[16] Granados, J.A.T., & Ionides, E.L. (2008). The Reversal of the Relation between Economic Growth and Health Progress: Sweden in the 19th and 20th Centuries. Journal of Health Economics, 27(3), 544-563.

[17] Granger, C.W.J. (1969). Investigation Causal Relations by Econometric Models and Cross Spectoral Methods. Econometrica, 37(3), 424-438.

[18] Granger, Clive W.J. (1980). Testing for Causality. A Personal Viewpoint. Journal of Economic Dynamic and Control, 2(4), 329-352.

[19] Gupta, S., Verhoeven, M., &Tiongson, E. R. (2003). Public Spending on Health Care and the Poor. Health Economics, 12, 685-696.

[20] Jasco, P. (2005). Google Scholar: The Pros and the cons. Online Information Review, 29(2), 208-214.

[21] Kabene, S. M., Orchad, C., Howard, J. M., Soriano, M. A., & Leduc, R. (2006). The Importance of Human Resources Management in Health Care:A Global Context. Human Resources for Health, 4(1), 20.

[22] Mayer, D. (2001). The Long Term Impact of Health on Economic Growth in Latin America. World Development, 29(6,) 1025-1033.

[23] Maziarz, M. (2015). A Review of the Granger Causality Fallacy. The Journal of Philosophical Economics: Reflections on Economic and Social Issues, VIII: 2, 86-105.

[24] Mboera, L. E., Makundi, E. A., &Kitua, A. Y. (2007). Uncertainty in Malaria Control in Tanzania: Crossroads and Challenges for Future Interventions. American Journal of Tropical Medicine and Hygiene, 77 (6), 112-118.

[25] McGuire, J. W. (2006). Basic Health Care Provision and Under Five Mortality: A cross National study on developing countries. World Development, 34 (3), 405-425.

[26] Morand, OF. (2005).Economic Growth, Health, and Longevity in the very long term: Facts and Mechanism, in: Lopez-Casasnovas G, Rivera B, Currais L (eds), Health and Economic growth: Findings and Policy Implications. Cambrige MIT press, Cambrige.

[27] Narayan, P. K., Mishra, S., & Narayan, S. (2010). Investigating the Relationship between Health and Economic Growth: Empirical Evidence from a Panel of 5 Asian Countries. Journal of Asian Economics, 21(4), 404-411.

[28] National Malaria Control Programme. (2016). Unpublished Official Malaria Mortality Data.

[29] Nguyen, M. P., Mirzoev, T., and Le, T. M. (2016). Contribution of Health Workforce to Health Outcomes: Empirical Evidence from Vietnam. Human Resources for Health, 14:68.

[30] NIMR. (2013). National Institute for Medical Research, the Fourth Tanzania National Health Research Priorities, 2013-2018. Dar es Salaam: National Institute for Medical Research.

[31] Nishiyama, A. (2011). Economic Growth and Infant Mortality in Developing Countries. European Journal of Development Research, 23(4), 630-647.

[32] Okoyo, C., Mwandawiro, C., Kihara, J., Simiyu, E., Gitonga, C. W., & Noor, A. M. (2015). Comparing Insecticides Treated Bed Net use to Plasmodium Falciparum Infection among Schoolchildren Living near Lake Victoria, Kenya. Malaria Journal, 14(1), 515.

[33] Podrecca, E., &Carmeci, G. (2001). Fixed Investment and Economic Growth: New Results on Causality. Applied Economics, 33(2), 177-182.

[34] Sachs, J., & Warner, A. (1997). Sources of Slow Growth in African Economies. Journal of African Economies, 6(3), 335-337.

[35] Schneider, P.H. (2005). International Trade, Economic Growth and Intellectual Property Rights. A Panel Data Study of Developed and Developing Countries. Journal of Development Economics, 78(2), 529-547.

[36] Selemani, M., Msengwa, A. S., Mrema, S., Shamte, A., Mahande, M. J., Lutambiz, A. M., et al. (2016). Assessing the Effects of Mosquito Nets on Malaria Mortality Using a Space Time Model: A Case Study of Rufiji and Ifikara Health and Demographic Surveillance System Sites in Rural Tanzania. Malaria Journal, 15(1), 257.

[37] Senkoro, E. (2012). Absorption of Health Professional Graduates to the Public Sector Employment:What is The Status? Ministry of Health Social Welfare Human Resource Health Newsletter, 1 (2).

[38] Sirili, N., Kiwara, A., Nyongole, O., Frumence, G., Semakafu, A., &Hurtig, A. (2014). Addressing the Human Resource for Health Crisis in Tanzania: The lost in transition Syndrome. Tanzania Journal of Health Research, 16 (2).

[39] Stern, D.I. (2011). From Correlation to Granger Causality. Crawford School Research Paper, (13), 37.

[40] Strauss, J., & Thomas, D. (1998). Health, Nutrition and Economic Development. Journal of Economic Literature, 36(2), 766-817.

[41] Webber, D.J. (2002). Policies to Stimulate Growth: Should we invest in Health or Education? Applied Economics, 34(13), 1633-1643.

[42] Weil, D. N. (2007).Accounting for the Effect of Health on Economic Growth. Quarterly Journal of Economics, 122(3), 1265-1306.

[43] World Bank. (1993). World Development Report, 1993: Investing in Health. New York: Oxford University Press.

[44] World Bank. (2015). World Development Indicators Database. http://

[45] World Bank. (2016). World Development Indicators Database. http://

[46] World Health Organization. (1999b). World Health Report 1999: Making a Difference. Geneva: World health Organization.

[47] Zurn, P., Dal Poz, M.R., Stiwell, B., Adams, O. (2004). Imbalances in the Health workforce. Human Resources for Health, 2(1), 13.

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