image

Impact of Health on Labour Productivity in Morocco: Insights from Dynamic ARDL and KRLS Techniques

Download Paper: Download pdf
Author(s):
  • Nabil El BAOUCHARI FSJES-Souissi, Laboratory of Economic Analysis and Modelling (LEAM), Mohammed V University in Rabat, Morocco
  • Radouane RAOUF FSJES-Souissi, Laboratory of Economic Analysis and Modelling (LEAM), Mohammed V University in Rabat, Morocco
Abstract:

This study examines the impact of health, as measured by life expectancy (LE), on labour productivity, measured by GDP per capita (GDPC), in Morocco from 1990 to 2021. Utilizing a dynamic Autoregressive Distributed Lag (DYNARDL) model, along with the Kernel-Based Regularized Least Squares (KRLS) method, we assess the counterfactual impact of life expectancy while holding other variables constant. Our findings indicate that life expectancy has a significant and positive effect on labour productivity in both the short and long term. Specifically, a 1% increase in LE leads to a 6% increase in GDPC in the long run, while in the short run, this effect is even more pronounced, with a 1% change in LE resulting in a 14% variation in GDPC. These results highlight the critical role of health improvements in enhancing economic productivity in developing economies, aligning closely with the Sustainable Development Goals (SDGs), particularly Goal 3 - Good Health and Well-being and Goal 8 - Decent Work and Economic Growth. Additionally, DYNARDL simulations suggest that a projected 10% increase in life expectancy could initially accelerate labour productivity, although this acceleration rate diminishes over time, eventually stabilising. These findings underscore the importance of sustained health investments to achieve not only long-term economic growth in Morocco but also broader SDG targets, such as reducing inequalities and fostering sustainable, inclusive economic development.


© The Author(s) 2024. Published by RITHA Publishing under the CC-BY 4.0. license, allowing unrestricted distribution in any medium, provided the original work, author attribution, title, journal citation, and DOI are properly cited.


How to cite:

El Baouchari, N., Raouf, R. (2024). Impact of Health on Labour Productivity in Morocco: Insights from dynamic ARDL and KRLS techniques. Journal of Global Sustainability and Development, Volume I, Issue 1, 7 – 25. https://doi.org/10.57017/jgsd.v1.i1.01


References:

Abdelgany, M., & Saleh, A. (2023). Human Capital and Labour Productivity: Empirical Evidence from Developing Countries. International Journal of Economics Finance and Management Sciences, 10, 173–184. https://doi.org/10.11648/j.ijefm.20221004.13 


Aghion, P., Howitt, P., & Murtin, F. (2010). The Relationship Between Health and Growth: When Lucas Meets Nelson-Phelps (Working Paper 15813). National Bureau of Economic Research.https://doi.org/10.3386/w15813 


Arrow, K., Bolin, B., Costanza, R., Dasgupta, P., Folke, C., Holling, C. S., Jansson, B.-O., Levin, S., Mäler, K.-G., Perrings, C., & Pimentel, D. (1995). Economic growth, carrying capacity, and the environment. Ecological Economics, 15(2), 91–95. https://doi.org/10.1016/0921-8009(95)00059-3 


Baharin, R., Syah Aji, R. H., Yussof, I., & Mohd Saukani, N. (2020). Impact of Human Resource Investment on Labour Productivity in Indonesia. Iranian Journal of Management Studies, 13(1), 139–164. https://doi.org/10.22059/ijms.2019.280284.673616 


Barro, R. J. (1991). Economic Growth in a Cross Section of Countries. The Quarterly Journal of Economics, 106(2), 407–443. https://doi.org/10.2307/2937943 


Barro, R. J., & Lee, J.-W. (1994). Sources of economic growth. Carnegie-Rochester Conference Series on Public Policy, 40, 1–46. https://doi.org/10.1016/0167-2231(94)90002-7 


Beylik, U., Cirakli, U., Cetin, M., Ecevit, E., & Senol, O. (2022). The relationship between health expenditure indicators and economic growth in OECD countries: A Driscoll-Kraay approach. Frontiers in Public Health, 10, 1050550. https://doi.org/10.3389/fpubh.2022.1050550 


Bhargava, A., Jamison, D. T., Lau, L. J., & Murray, C. J. (2001). Modeling the effects of health on economic growth. Journal of Health Economics, 20(3), 423–440. https://doi.org/10.1016/s0167-6296(01)00073-x 


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. https://doi.org/10.1016/j.worlddev.2003.07.002 


Cole, M., & Neumayer, E. (2006). The impact of poor health on total factor productivity. Journal of Development Studies, 42(6), 918–938.


Dickey, D. A., & Fuller, W. A. (1981). Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica, 49(4), 1057–1072. https://doi.org/10.2307/1912517 


Dormont, B., Oliveira Martins, J., Pelgrin, F., & Suhrcke, M. (2008). Health Expenditures, Longevity and Growth (SSRN Scholarly Paper 1130315). https://doi.org/10.2139/ssrn.1130315 


Dua, P., & Garg, N. K. (2019). Determinants of labour productivity: Comparison between developing and developed countries of Asia-Pacific. Pacific Economic Review, 24(5), 686–704. https://doi.org/10.1111/1468-0106.12294 


Engle, R. F., & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251–276. https://doi.org/10.2307/1913236 


Ferwerda, J., Hainmueller, J., & Hazlett, C. J. (2017). Kernel-Based Regularized Least Squares in R (KRLS) and Stata (KRLS). Journal of Statistical Software, 79, 1–26. https://doi.org/10.18637/jss.v079.i03 


Granger, C. W. J. (1981). Some properties of time series data and their use in econometric model specification. Journal of Econometrics, 16(1), 121–130. https://doi.org/10.1016/0304-4076(81)90079-8 


Haider, A., & Butt, M. S. (2006). The Direction of Causality between Health Spending and GDP: The Case of Pakistan. MPRA Paper, Article 23379. https://ideas.repec.org//p/pra/mprapa/23379.html 


Hainmueller, J., & Hazlett, C. (2014). Kernel Regularized Least Squares: Reducing Misspecification Bias with a Flexible and Interpretable Machine Learning Approach. Political Analysis, 22(2), 143–168.


Johansen, S. (1995). A Statistical Analysis of Cointegration for I(2) Variables. Econometric Theory, 11(1), 25–59.


Johansen, S., & Juselius, K. (1990). Maximum Likelihood Estimation and Inference on Cointegration—With Applications to the Demand for Money. Oxford Bulletin of Economics and Statistics, 52(2), 169–210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x 


Jordan, S., & Philips, A. Q. (2018). The R Journal: Dynamic Simulation and Testing for Single-Equation Cointegrating and Stationary Autoregressive Distributed Lag Models. The R Journal, 10(2), 469–488. https://doi.org/10.32614/RJ-2018-076 


Kedir, A. M. (2009). Health and Productivity: Panel Data Evidence from Ethiopia. African Development Review, 21(1), 59–72. https://doi.org/10.1111/j.1467-8268.2009.00203.x 


Knapp, D. (2007). The Influence of Health on Labour Productivity: An Analysis of European Conscription Data [Thesis, The Ohio State University]. https://kb.osu.edu/handle/1811/25245 


Lea, R. A. (1993). World Development Report 1993: Investing in Health. Forum for Development Studies, 20(1), 114–117. https://doi.org/10.1080/08039410.1993.9665939 


Levine, R., & Renelt, D. (1992). A Sensitivity Analysis of Cross-Country Growth Regressions. The American Economic Review, 82(4), 942–963.


Lucas, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3–42. https://doi.org/10.1016/0304-3932(88)90168-7 


Magableh, S., Alalawneh, M., & Alqalawi, U. (2022). An empirical study on the effect of education on labour productivity. Journal of Governance and Regulation, 11(2, Special Issue), 301–308. https://doi.org/10.22495/jgrv11i2siart9 


Mankiw, Romer, D., & Weil, D. (1992). A Contribution to the Empirics of Economic Growth. Quarterly Journal of Economics, 107(May), 407–437.


Mehmood, A., Siddique, H. M. A., & Ali, A. (2022). Impact of Health on Worker Productivity: Evidence from South Asia. Bulletin of Business and Economics, 11(2), Article 2.


Narayan, S., & Narayan, P. K. (2005). An empirical analysis of Fiji’s import demand function. Journal of Economic Studies, 32(2), 158–168. https://doi.org/10.1108/01443580510600931 


NPFH. (2018). Morocco National Survey on Population and Family Health 2017-2018. https://www.sante.gov.ma/Publications/Etudes_enquete/Documents/2019/03/Rapport%20pr%C3%A9liminaire_ENPSF-2018.pdf 


OECD. (2014). GDP per capita and productivity growth. Organisation for Economic Co-operation and Development. https://www.oecd-ilibrary.org/employment/data/oecd-productivity-statistics/gdp-per-capita-and-productivity-growth_data-00685-en 


Perron, P. (1989). The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis. Econometrica, 57(6), 1361–1401. https://doi.org/10.2307/1913712 


Pesaran, M. H., & Shin, Y. (1995). An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis. Cambridge Working Papers in Economics, Article 9514. https://ideas.repec.org//p/cam/camdae/9514.html 


Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), 289–326. https://doi.org/10.1002/jae.616 


Raghupathi, V., & Raghupathi, W. (2020). Healthcare Expenditure and Economic Performance: Insights from the United States Data. Frontiers in Public Health, 8. https://www.frontiersin.org/articles/10.3389/fpubh.2020.00156 


Rivera, B., & Currais, L. (1999). Economic growth and health: Direct impact or reverse causation? Applied Economics Letters, 6(11), 761–764. https://doi.org/10.1080/135048599352367 


Saha, S. (2013). Impact of Health on Productivity Growth in India. https://www.semanticscholar.org/paper/Impact-of-Health-on-Productivity-Growth-in-India-Saha/bc54b71843ce3db5d57ee5c7aa15a8c511c92bc1 


Samargandi, N. (2018). Determinants of Labour Productivity in MENA Countries. Emerging Markets Finance and Trade, 54(5), 1063–1081. https://doi.org/10.1080/1540496X.2017.1418658 


Sarkodie, S. A., & Owusu, P. A. (2020). How to apply the novel dynamic ARDL simulations (DYNARDL) and Kernel-based regularized least squares (KRLS). MethodsX, 7, 101160. https://doi.org/10.1016/j.mex.2020.101160 


Saucedo, E., Ozuna, T., & Zamora, H. (2020). The effect of FDI on low and high-skilled employment and wages in Mexico: A study for the manufacture and service sectors. Journal for Labour Market Research, 54(1), 9. https://doi.org/10.1186/s12651-020-00273-x 


Schultz, T. P. (2005). Productive Benefits of Health: Evidence from Low-Income Countries.


Ullah, S., Malik, M. N., & ul Hassan, M. (2019). Impact of Health on Labour Productivity: Empirical Evidence from Pakistan. European Online Journal of Natural and Social Sciences, 8(1), Article 1.


Umoru, D., & Yaqub, J. (2013). Labour Productivity and Health Capital in Nigeria: The Empirical Evidence. https://www.semanticscholar.org/paper/Labour-Productivity-and-Health-Capital-in-Nigeria%3A-Umoru-Yaqub/5dcdc3ad657f9fb1b992612af05c2103500af851 


UNCTADstat. (2023). [Dataset]. https://unctadstat.unctad.org/wds/ReportFolders/reportFolders.aspx 


World Bank Open Data. (2023). [Dataset]. https://data.worldbank.org 

Wu, C.-F., Chang, T., Wang, C.-M., Wu, T.-P., Lin, M.-C., & Huang, S.-C. (2021). Measuring the Impact of Health on Economic Growth Using Pooling Data in Regions of Asia: Evidence from a Quantile-On-Quantile Analysis. Frontiers in Public Health, 9. https://www.frontiersin.org/articles/ 10.3389/fpubh.2021.689610