Determinants of labor productivity in the USA
-
DOIhttp://dx.doi.org/10.21511/ppm.21(4).2023.54
-
Article InfoVolume 21 2023, Issue #4, pp. 724-739
- Cited by
- 372 Views
-
81 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
This study aims to examine whether the labor productivity of the US population directly depends on public or private insurance coverage of people, employment level, life expectancies, spending on the public health system as a percentage of GDP, and spending on the public health system in natural terms.
Empirical testing was carried out on the USА statistical data for 1987–2021 using a regression model with the fitting procedure backward stepwise selection (in Statgraphics software), and a multivariate adaptive regression spline MARS (using Salford Predictive Modeler software). The research hypothesis was confirmed for only two indicators: life expectancies and spending on the public health system in natural terms. Their impact on labor productivity appeared to be directly proportional. As an indicator, spending on the public health system has a greater impact on the change in productivity (0.0058%), whereas life expectancy has a lesser effect (0.0047%). The study showed that the MARS model provides more objective and accurate results compared to the regression model with the fitting procedure – backward stepwise selection. This conclusion is based on a comparison of real data modeled by both methods. The study proved that labor productivity in the USA grew yearly from 1987 to 2021 (the constant term in the MARS model’s regression equation is +0.48428). To calculate the specific values of labor productivity for each year, a model was developed depending on the optimal basic functions (automatically generated by the MARS model depending on the current values of life expectancies and spending on the public health system in natural terms).
Acknowledgment
This study is funded by Department of Applied Social Sciences of the Faculty of Organization and Management of the Silesian University of Technology for the year 2023 (grant number 13/020/BK_23/0081).
- Keywords
-
JEL Classification (Paper profile tab)J24, І10, І38, O47, О51
-
References76
-
Tables7
-
Figures1
-
- Figure 1. MARS regression splines
-
- Table 1. Characteristics of the regression model (5)
- Table 2. Analysis of variance
- Table 3. Evaluation of the basis functions
- Table 4. Basis functions
- Table 5. Statistical characteristics of the optimal MARS model
- Table 6. Comparison table of real values of labor productivity and predicted values by regression (5) and MARS (6)
- Table A1. Standardized indicators of the study
-
- Abraham, K. G., & Kearney, M. (2018). Explaining the decline in the U.S. employment-to-population ratio: A review of the evidence (Working Paper 24333). National Bureau of Economic Research.
- Aburto, J., Villavicencio, F., Basellini, U., & Vaupel, J. (2020). Dynamics of life expectancy and life span equality. Proceedings of the National Academy of Sciences, 117(10), 5250-5259.
- AL-Hashimi, Y. N., AL-Toobi, J. S., & Ahmed, E. R. (2023). The influence of corporate governance on firm performance during the COVID-19 pandemic. Financial Markets, Institutions and Risks, 7(1), 109-122.
- Amato, L. H., Cebula, R. J., & Connaughton, J. E. (2022). State productivity and economic growth. Regional Studies, Regional Science, 9(1), 180-203.
- Atiyatna, D., Bashir, A., & Hamidi, I. (2021). Identifying factors influencing the labor productivity of SMEs in South Sumatra. Jurnal Ekonomi Pembangunan, 19(1), 91-100.
- Awojobi, O. N., Kwabia, E., & Adeniji, O. A. (2023). Social protection programmes in mitigating the socio-economic impacts of the Covid-19 pandemic: A comparative study of Ghana, Kenya, and South Africa. SocioEconomic Challenges, 7(3), 21-47.
- Babenko, V., Nehrey, M., Gaponova, E., Ryzhikova, N., & Zaporozhets, E. (2019). Life expectancy of population of the country: The role of health services effectiveness. Research in World Economy, 10(4), 86-91.
- Belhadi, A., Abdellah, N., & Nezai, A. (2023). The effect of big data on the development of the insurance industry. Business Ethics and Leadership, 7(1), 1-11.
- Beltrán-Sánchez, H., Soneji, S., & Crimmins, E. M. (2015). Past, present, and future of healthy life expectancy. Cold Spring Harbor Perspectives in Medicine, 5(11), a025957.
- Blašková, M., Blaško, R., Rosak-Szyrocka, J., & Ulewicz, R. (2017). Flexibility and variability of motivating employees and managers in Slovakia and Poland. Polish Journal of Management Studies 15(1), 26-36.
- Bottegal, G., & Pillonetto, G. (2018). The generalized cross validation filter. Automatica, 90, 130-137.
- Branning, G., & Vater, M. (2016). Healthcare spending: Plenty of blame to go around. American Health & Drug Benefits, 9(8), 445-447.
- Brychko, M., Bilan, Y., Lyeonov, S., & Streimikiene, D. (2023). Do changes in the business environment and sustainable development really matter for enhancing enterprise development? Sustainable Development, 31(2), 587-599.
- Chugunov, I., Makohon, V., Kaneva, T., & Adamenko I. (2022). Influence of financial support of human capital development on economic growth. Problems and Perspectives in Management, 20(2), 269-280.
- CIEC-data. (n.d.). China Labour Productivity Growth.
- Craven, P., & Wahba, G. (1978). Smoothing noisy data with spline functions. Numerische Mathematik, 31, 377-403.
- Dizioli, A., & Pinheiro, R. (2016). Health insurance as a productive factor. Labour Economics, 40, 1-24.
- Dzwigol, H. (2019). The concept of the system approach of the enterprise restructuring process. Virtual Economics, 2(4), 46-70.
- Dzwigol, H. (2021). The uncertainty factor in the market economic system: The microeconomic aspect of sustainable development. Virtual Economics, 4(1), 98-117.
- El Fallahi, F., Ibenrissoul, A., & El Amri, A. (2023). Defining and measuring overall performance in emerging countries: A comprehensive financial perspective review. Financial Markets, Institutions and Risks, 7(3), 81-93.
- Elamir, E. A. H. (2020). Determinant indicators for labor market efficiency and higher education and training: Evidence from Middle East and North Africa countries. Problems and Perspectives in Management, 18(1), 206-218.
- Erlangga, D., Suhrcke, M., Ali, S., & Bloor, K. (2019). The impact of public health insurance on health care utilisation, financial protection and health status in low- and middle-income countries: A systematic review. PLoS One, 14(8), e0219731.
- Friedman, J. H. (1991). Multivariate adaptive regression splines. The Annals of Statistics, 19(1), 1-67.
- Gardner, H., Paz, S., & Ssoz, J. (2023). The influence of international trade on labour productivity in services: The case of Brazil in the 1990s. Review of Development Economics, 27(1), 268-290.
- Gontareva, I., Babenko, V., Shmatko, N., & Pawliszczy, D. (2021). Correlation of income inequality and entrepreneurial activity. Journal of Optimization in Industrial Engineering, 14(1), 33-38.
- Gopal, R., & Murali, K. (2015). A critical review on factors influencing. labour productivity in construction. IOSR Journal of Mechanical and Civil Engineering, 12(5), 47-51.
- Grenčíková, A., Kordoš, M., & Berkovic, V. (2020). Impact of Industry 4.0 on labor productivity in the Slovak Republic. Problems and Perspectives in Management, 18(2), 396-408.
- Hartman, M., Martin, A., Washington, B., Catlin, A., & The National Health Expenditure Accounts Team. (2021). National health care spending in 2020: Growth driven by federal spending in response to the COVID-19 pandemic. Health Affairs, 41(1), 13-25.
- Horváth, A., & Gyenge, G. (2023). Changes and trends based on perceived lifestyles reflected in movies. SocioEconomic Challenges, 7(3), 174-183.
- Hо, А. (2015). Health insurance. In H. ten Have (Ed.), Encyclopedia of Global Bioethics. Springer.
- Kochmańska, A. (2019). Innovative approach to the management of culturally diverse human resources in today’s labour market. Zeszyty Naukowe. Organizacja i Zarządzanie, 141, 173-182.
- Kochmańska, A. (2021). Innovative, intangible ways of motivating employees in modern enterprises in the time of the Covid-19 pandemic. Proceedings of the 37th International Business Information Management Association (IBIMA). Cordoba, Spain.
- Koibichuk, V., Khan, B., & Drozd, S. (2023). The USA medical insurance as a stimulating factor to increase labour efficiency. Health Economics and Management Review, 4(2), 40-50.
- Kornieieva, T., Varela, M., Luís, A. L., & Teixeira, N. (2022). Assessment of labour productivity and the factors of its increase in European Union 27 and Ukrainian economies. Economies, 10(11), 287.
- Kozmenko, O., Merenkova, O., Boyko, A., & Kravchuk, H. (2009). Forecasting of principal directions of Ukrainian insurance market development based on German insurance market indices. Innovative Marketing, 5(4), 51-54.
- Kuzior, A. (2022). Technological unemployment in the perspective of Industry 4.0 development. Virtual Economics, 5(1), 7-23.
- Kuzior, A., Kashcha, M., Kuzmenko, O., Lyeonov, S., & Brożek, P. (2022a). Public health system economic efficiency and COVID-19 resilience: Frontier DEA analysis. International Journal of Environmental Research and Public Health, 19(22), 14727.
- Kuzior, A., Kettler, K., & Rąb, Ł. (2022b). Digitalization of work and human resources processes as a way to create a sustainable and ethical organization. Energies, 15(1), 172.
- Letunovska, N., Kashcha, M., Dluhopolskyi, O., Lyeonov, S., Artyukhova, N., Gąsior, M., & Sak-Skowron, M. (2023). Health risks and country sustainability: The impact of the COVID-19 pandemic with determining cause-and-effect relationships and their transformations. Sustainability, 15(1), 222.
- Letunovska, N., Saher, L., Vasylieva, T., & Lieonov, S. (2021). Dependence of public health on energy consumption: A cross-regional analysis. E3S Web of Conferences, 250, 04014.
- Lyeonov, S. V., Kuzmenko, О., Koibichuk, V. V., Rubanov, P. M., & Smiianov, V. A. (2021b). Behavioral, social, economic and legal dimension of the public health system of Ukraine: descriptive, canonical and factor analysis. Wiadomosci Lekarskie, 74(12), 3126-3134.
- Lyeonov, S., Bilan, S., Yarovenko, H., Ostasz, G., & Kolotilina, O. (2021a). Country’s health profile: Social, economic, behavioral and healthcare determinants. Economics & Sociology, 14(3), 322-340.
- Lyeonov, S., Vasilyeva, T., Bilan, Y., & Bagmet, K. (2021с). Convergence of the institutional quality of the social sector: The path to inclusive growth. International Journal of Trade and Global Markets, 14(3), 272-291.
- Macrotrends. (n.d.). U.S. Life Expectancy 1950–2023.
- Melnyk, L., Kubatko, O., Matsenko, O., Balatskyi, Y., & Serdyukov, K. (2021). Transformation of the human capital reproduction in line with industries 4.0 and 5.0. Problems and Perspectives in Management, 19(2), 480-494.
- Murawska, A. (2017). Influence of population’s education level on the employment and unemployment rates in the European Union countries. Ekonomia i Prawo, 16(2), 171-184.
- Naga, N., & Amalou, S. I. (2023). Employee perceptions of skill-based compensation in an Algerian juice company. Business Ethics and Leadership, 7(2), 55-62.
- Njegovanović, A. (2023). Financial evolution and interdisciplinary research. Financial Markets, Institutions and Risks, 7(1), 71-95.
- Ober, J., & Karwot, J. (2023). The effect of publicly available COVID-19 information on the functioning of society, businesses, government and local institutions: A case study from Poland. International Journal of Environmental Research and Public Health, 20(3), 2719.
- Oe, H., & Yamaoka, Y. (2023). Organisational performance in the post-COVID era led by top leadership: Focus on the mediating effects of value co-creation mindset. Health Economics and Management Review, 4(3), 34-47.
- OECD. (n.d.). Labour productivity forecast.
- Papanicolas, I., Woskie, L., & Jha, A. (2018). Health care spending in the United States and other high-income countries. JAMA, 319(10), 1024-1039.
- Polyanska, A., Zapukhliak, I., & Diuk, O. (2019). Culture of organization in conditions of changes as an ability of efficient transformations: The case of gas transportation companies in Ukraine. Oeconomia Copernicana, 10(3), 561-580.
- Radło, M., & Tomeczek, A. F. (2022). Factors influencing labor productivity in modern economies: A review and qualitative text analysis. WSEAS Transactions on Environment and Development, 18, 291-314.
- Raghupathi, V., & Raghupathi, W. (2020). Healthcare expenditure and economic performance: Insights from the United States data. Frontiers in Public Health, 8, 538294.
- Rochet, J. (1991). Incentives, redistribution and social insurance. The Geneva Papers on Risk and Insurance Theory, 16(2), 143-165.
- Sabancı, D., Kılıçarslan, S., & Adem, K. (2023). An application on forecasting for stock market prices: Hybrid of some metaheuristic algorithms with multivariate adaptive regression splines. International Journal of Intelligent Computing and Cybernetics, 16(4). 847-866.
- Salama, E. Y. M. (2014, September 2). Factors affecting labor productivity. LinkedIn.
- Schmitt, M. (2023). Dietary choices as prevention measure: Assessment of societal effects related to life expectancy in Germany. Health Economics and Management Review, 4(1), 26-38.
- Schöley, J., Aburto, J. M., Kashnitsky, I., Kniffka, M. S., Zhang, L., Jaadla, H., Dowd, J. B., & Kashyap, R. (2022). Life expectancy changes since COVID-19. Nature Human Behaviour, 6, 1649-1659.
- Sharma, J., & Kumar Mitra, S. (2023). Developing a used car pricing model applying Multivariate Adaptive regression Splines approach. Expert Systems with Applications, 236, 121277.
- Sheliemina, N. (2023). Interrelationship between indexes of the population medical care quality and macroeconomic efficiency. Health Economics and Management Review, 4(1), 47-59.
- Skrynnyk, O. (2023). Prediction of convergent and divergent determinants of organisational development. Business Ethics and Leadership, 7(1), 74-81.
- Sommers, B. (2017). Why health insurance matters – And why research evidence should too. Academic Medicine, 92(9), 1228-1230.
- Sotnyk, I. M. (2012). Trends and problems in management of production and consumption dematerialization. Actual Problems of Economics, 134(8), 62-67.
- Tian, F., Gao, J., & Jang, K. (2018). A quantile regression approach to panel data analysis of health-care expenditure in Organisation for Economic Co-operation and Development countries. Health Economics, 27(12), 1921-1944.
- Tran, L., Zimmerman, F., & Fielding, J. (2017). Public health and the economy could be served by reallocating medical expenditures to social programs. SSM – Population Health, 3, 185-191.
- Trippner, P. (2020). Determinants of pension capital management in Poland. Investment Management and Financial Innovations, 17(4), 315-326.
- U. S. Bureau of Labor Statistics. (n.d.). Labor force statistics from the current population survey.
- USA Facts. (n.d.a). People covered by public or private health insurance.
- USA Facts. (n.d.b). Healthcare expenditures as a percent of GDP.
- USA Facts. (n.d.c). National spending on healthcare goods and services.
- Uzyakova, E. S. (2022). Informal employment and its impact on population’s income and labor productivity. Studies on Russian Economic Development, 33(6), 716-722.
- Yasmirullah, S. D. P., Otok, B. W., Purnomo, J. D. T., & Prastyo, D. D. (2023). A hybrid model of spatial autoregressive-multivariate adaptive generalized Poisson regression spline. Decision Science Letters, 12(4), 721-728.
- Yu, Y., Xinxin, W., Ruoxi, L., & Tingting, Y. (2023). The mediating role of human capital in the relationship between education expenditure and science and technology innovation: Evidence from China. SocioEconomic Challenges, 7(1), 129-138.
- Zhang, Q., & Wang, X. (2020). Factors influencing employment rate and mobility of science and engineering and economics and management graduates in Northeast China: An examination. SAGE Open, 10(2).