Impact of sectoral economic performance and fiscal capacity on public health expenditure in South Africa
Vol 8, Issue 7, 2024
VIEWS - 1565 (Abstract)
Abstract
This study analyses the long-run relationship between, and the direction and magnitude of impact of sectoral economic growth and fiscal capacity on government health expenditure. The study was carried out to validates the Wagner hypothesis from sectoral perspective and revenue-expenditure hypothesis for South Africa for the period 1984–2020. Fully modified least squares and dynamic least squares and canonical cointegration regression were used to achieve the objectives of the study. Empirical regression results showed that there is a negative impact of the secondary sector GDP on public health expenditure. Thus, invalidating the Wagner hypothesis and suggesting that secondary sector GDP cannot serves as an answer for public health expenditure. However, there was a positive relationship between tertiary sector GDP and public health expenditure. The study make case for unceasing provision of an enabling environment that continuously support growth of the tertiary sector.
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- Arestis, P., Şen, H., & Kaya, A. (2020). On the linkage between government expenditure and output: empirics of the Keynesian view versus Wagner’s law. Economic Change and Restructuring, 54(2), 265–303. https://doi.org/10.1007/s10644-020-09284-7
- Awe, F. D., Saliu, M. O., Ogunleye, E. O. (2020). Socio-Economic, Demand and Supply-Driven Determinants of Health Care Expenditures in Sub-Sahara Africa. Research on Humanities and Social Sciences, 10(10), 45-55.
- Behera, D. K., & Dash, U. (2018). The impact of macroeconomic policies on the growth of public health expenditure: An empirical assessment from the Indian states. Cogent Economics & Finance, 6(1), 1435443. https://doi.org/10.1080/23322039.2018.1435443
- Behera, D. K., & Dash, U. (2019). Impact of macro-fiscal determinants on health financing: empirical evidence from low-and middle-income countries. Global Health Research and Policy, 4(1). https://doi.org/10.1186/s41256-019-0112-4
- Bhorat, H., Lilenstein, K., Oosthuizen, M., et al. (2020). Structural transformation, inequality, and inclusive growth in South Africa. Wider Working Paper. https://doi.org/10.35188/unu-wider/2020/807-8
- Bhorat, H., Rooney, C. (2017). State of Manufacturing in South Africa’. DPRU Working Paper 201702. Cape Town: DPRU, University of Cape Town.
- Boachie, M. K., Mensah, I. O., Sobiesuo, P., et al. (2014). Determinants of public health expenditure in Ghana: a cointegration analysis. Journal of Behavioural Economics, Finance, Entrepreneurship, Accounting and Transport, 2(2), 35-40.
- Braendle, T., & Colombier, C. (2016). What drives public health care expenditure growth? Evidence from Swiss cantons, 1970–2012. Health Policy, 120(9), 1051–1060. https://doi.org/10.1016/j.healthpol.2016.07.009
- Chipunza, T., & Nhamo, S. (2023). Fiscal capacity and public health expenditure in Zimbabwe. Cogent Economics & Finance, 11(1). https://doi.org/10.1080/23322039.2023.2175459
- Dinçer, H., Yuksel, S. (2019). Identifying the causality relationship between health expenditure and economic growth: An application on E7 countries. Journal of Health Systems and Policies, 1(1), 5-23.
- Dudzevičiūtė, G., Šimelytė, A., & Liučvaitienė, A. (2018). Government expenditure and economic growth in the European Union countries. International Journal of Social Economics, 45(2), 372–386. https://doi.org/10.1108/ijse-12-2016-0365
- Ebaid, A., & Bahari, Z. (2019). The Nexus between Government Expenditure and Economic Growth: Evidence of the Wagner’s Law in Kuwait. Review of Middle East Economics and Finance, 15(1). https://doi.org/10.1515/rmeef-2017-0001
- Espinosa, J. P., Cabauatan, R. R., & Tatlonghari, V. M. (2023). Public Health Spending in the Philippines: A Cointegration and Causality Analysis Using Autoregressive Distributed Lag Approach. Journal of Development Policy and Practice, 245513332211443. https://doi.org/10.1177/24551333221144363
- Fazal, F., Saleem, T., Ur Rehman, M. E., et al. (2022). The rising cost of healthcare and its contribution to the worsening disease burden in developing countries. Annals of Medicine & Surgery, 82. https://doi.org/10.1016/j.amsu.2022.104683
- Friedman, M. (1978). The limitations of tax limitation. Quadrant, 22, 22-24.
- HIS Markit. (2020). EViews 12 User’s Guide II. IHS Global Inc.
- Inchauspe, J., MacDonald, G., & Kobir, M. A. (2022). Wagner’s Law and the Dynamics of Government Spending on Indonesia. Bulletin of Indonesian Economic Studies, 58(1), 79–95. https://doi.org/10.1080/00074918.2020.1811837
- Johansen, S. (1991). Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551. https://doi.org/10.2307/2938278
- Johansen, S. (1995). Likelihood-based inference in cointegrated vector autoregressive models. OUP Oxford.
- Kaur, A. (2020). Health Status, Government Health Expenditure and Economic Growth Nexus in India: A Toda–Yamamoto Causality Approach. Arthaniti: Journal of Economic Theory and Practice, 22(1), 34–46. https://doi.org/10.1177/0976747920963401
- Ke, X. U., Saksena, P., Holly, A. (2011). The determinants of health expenditure: a country-level panel data analysis. Geneva: World Health Organization, 26, 1-28.
- Khan, B. (2022). Determinants of public health expenditure in some selected states of India: a panel data approach. Journal of Positive School Psychology, 6(10), 1636-1646.
- Kiross, G. T., Chojenta, C., Barker, D., et al. (2020). The effects of health expenditure on infant mortality in sub-Saharan Africa: evidence from panel data analysis. Health Economics Review, 10(1). https://doi.org/10.1186/s13561-020-00262-3
- Malakoane, B., Heunis, J. C., Chikobvu, P., et al. (2020). Public health system challenges in the Free State, South Africa: a situation appraisal to inform health system strengthening. BMC Health Services Research, 20(1). https://doi.org/10.1186/s12913-019-4862-y
- Meng, X., Mu, G., Tong, J. (2022). Health economics in Africa from 1991 to 2020: A systematic review. Journal of Public Health in Africa, 13(2). https://doi.org/10.4081%2Fjphia.2022.2027
- Micah, A. E., Chen, C. S., Zlavog, B. S., et al. (2019). Trends and drivers of government health spending in sub-Saharan Africa, 1995–2015. BMJ Global Health, 4(1), e001159. https://doi.org/10.1136/bmjgh-2018-001159
- Mohapatra, S. (2017). Economic growth, public expenditure on health and IMR in India. International Journal of Social Economics, 44(12), 2002–2018. https://doi.org/10.1108/ijse-05-2015-0121
- Murshed, S. M., Bergougui, B., Badiuzzaman, M., et al. (2020). Fiscal Capacity, Democratic Institutions and Social Welfare Outcomes in Developing Countries. Defence and Peace Economics, 33(3), 280–305. https://doi.org/10.1080/10242694.2020.1817259
- Nyasha, S., & Odhiambo, N. M. (2019). Government Size and Economic Growth: A Review of International Literature. SAGE Open, 9(3), 215824401987720. https://doi.org/10.1177/2158244019877200
- Odhiambo, N. M. (2021). Health expenditure and economic growth in sub-Saharan Africa: an empirical investigation. Development Studies Research, 8(1), 73–81. https://doi.org/10.1080/21665095.2021.1892500
- Oleribe, O. E., Momoh, J., Uzochukwu, B. S., et al. (2019). Identifying Key Challenges Facing Healthcare Systems In Africa And Potential Solutions International Journal of General Medicine, 12, 395–403. https://doi.org/10.2147/ijgm.s223882
- Onifade, S. T., Çevik, S., Erdoğan, S., et al. (2020). An empirical retrospect of the impacts of government expenditures on economic growth: new evidence from the Nigerian economy. Journal of Economic Structures, 9(1). https://doi.org/10.1186/s40008-020-0186-7
- Park, J. Y. (1992). Canonical Cointegrating Regressions. Econometrica, 60(1), 119. https://doi.org/10.2307/2951679
- Phillips, P. C. B., & Hansen, B. E. (1990). Statistical Inference in Instrumental Variables Regression with I(1) Processes. The Review of Economic Studies, 57(1), 99. https://doi.org/10.2307/2297545
- Sagarik, D. (2016). Determinants of Health Expenditures in ASEAN Region: Theory and Evidence. Millennial Asia, 7(1), 1–19. https://doi.org/10.1177/0976399615624054
- Saikkonen, P. (1992). Estimation and Testing of Cointegrated Systems by an Autoregressive Approximation. Econometric Theory, 8(01), 1–27. https://doi.org/10.1017/s0266466600010720
- Sedrakyan, G. S., & Varela-Candamio, L. (2019). Wagner’s law vs. Keynes’ hypothesis in very different countries (Armenia and Spain). Journal of Policy Modeling, 41(4), 747–762. https://doi.org/10.1016/j.jpolmod.2019.02.011
- Selvanathan, E. A., Selvanathan, S., & Jayasinghe, M. S. (2021). Revisiting Wagner’s and Keynesian’s propositions and the relationship between sectoral government expenditure and economic growth. Economic Analysis and Policy, 71, 355–370. https://doi.org/10.1016/j.eap.2021.05.005
- Sfakianakis, G., Grigorakis, N., Galyfianakis, G., et al. (2020). The impact of macro-fiscal factors and private health insurance financing on public health expenditure: evidence from the OECD countries for the period 2000–2017. EuroMed Journal of Business, 16(1), 1–24. https://doi.org/10.1108/emjb-03-2020-0029
- Shrestha, M. B., & Bhatta, G. R. (2018). Selecting appropriate methodological framework for time series data analysis. The Journal of Finance and Data Science, 4(2), 71–89. https://doi.org/10.1016/j.jfds.2017.11.001
- Startz, R. (2019). EViews Illustrated. University of California: Santa Barbara.
- Stock, J. H., & Watson, M. W. (1993). A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems. Econometrica, 61(4), 783. https://doi.org/10.2307/2951763
- Üzümcü, A., Söğüt, Y. (2020). Public Health Expenditures and Economic Growth: An Analysis on Turkey (1983–2019). Ekonomi İşletme Siyaset ve Uluslararası İlişkiler Dergisi, 6(2), 275-295.
- Wagner, A. (1883). Finanzwissenschaft, 3rd, ed. Leipzig: Winter.
DOI: https://doi.org/10.24294/jipd.v8i7.3946
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