HEALTH EXPENDITURES AND EDUCATION EXPENDITURES RELATED TO LABOR PRODUCTIVITY IN INDONESIA? A TIME SERIES ANALYSIS SPANNING 2001–2019

Authors

  • Rosdiana Sijabat Atma Jaya Catholic University of Indonesia

DOI:

https://doi.org/10.38076/ykdbpd03

Keywords:

Health expenditures, education expenditures, labor productivity, time series analysis

Abstract

This study examined government health and education spending and its impact on Indonesian labor productivity from 2001 to 2019. The problem was relevant since Indonesia's labor productivity rose before 2019, while health and education spending fluctuated. Labor productivity rose from 4.38 in 2001 to 11.84 in 2019, while government health expenditure rose from 3.96% to 8.67% of general government expenditure. Government education spending rose from 11.59% of general government spending in 2001 to 17.35% in 2019 but fluctuated thereafter. These patterns raised the question of whether Indonesian labor productivity was improved by public spending on education and health. This study used secondary data from 2001 to 2019 for quantitative time-series analysis. Descriptive analysis, Augmented Dickey-Fuller and Phillips-Perron unit root tests, Johansen and cointegration test, and regression analysis were used. Results revealed that health spending boosted labor productivity in the short and long term. Education expenditure had little short-term effect but a favorable and large long-term benefit. These findings suggested that health investment boosted labor productivity faster than education spending. Thus, Indonesian policy should increase health and education spending and improve the quality and effectiveness of these expenditures to boost human capital and labor productivity.

Studi ini mengkaji dampak belanja kesehatan dan pendidikan pada produktivitas tenaga kerja Indonesia dari tahun 2001 hingga 2019. Studi ini signifikan karena produktivitas tenaga kerja Indonesia meningkat sebelum tahun 2019, sementara belanja untuk kesehatan dan pendidikan berfluktuasi. Produktivitas tenaga kerja meningkat dari 4,38 pada tahun 2001 menjadi 11,84 pada tahun 2019, sementara belanja pemerintah untuk kesehatan meningkat dari 3,96% menjadi 8,67% dari belanja pemerintah umum. Belanja pemerintah untuk pendidikan meningkat dari 11,59% dari belanja pemerintah umum pada tahun 2001 menjadi 17,35% pada tahun 2019 tetapi berfluktuasi setelahnya. Kondisi ini menimbulkan pertanyaan apakah produktivitas tenaga kerja Indonesia meningkat akibat belanja pendidikan dan kesehatan. Studi ini menggunakan data sekunder dari tahun 2001 hingga 2019 untuk analisis deret waktu. Analisis deskriptif, uji akar unit Augmented Dickey-Fuller dan Phillips-Perron, uji Johansen dan kointegrasi, serta analisis regresi digunakan untuk menjawab tujuan penelitian. Hasil penelitian menunjukkan bahwa belanja kesehatan meningkatkan produktivitas tenaga kerja dalam jangka pendek dan panjang. Belanja pendidikan memiliki sedikit pengaruh jangka pendek tetapi memberikan manfaat jangka panjang. Temuan ini menunjukkan bahwa investasi kesehatan meningkatkan produktivitas tenaga kerja lebih cepat daripada belanja pendidikan. Oleh karena itu, kebijakan peningkatan belanja kesehatan dan pendidikan perlu disertai kualitas dan efektivitas belanja untuk meningkatkan produktivitas tenaga kerja

References

Akoum, I. (2016). Research, development and innovation in Malaysia: elements of an effective growth model. Asian Economic and Financial Review, 6(7), 390–403. https://doi.org/10.18488/journal.aefr/2016.6.7/102.7.390.403

Alam, M. S., Miah, M. D., Hammoudeh, S., & Tiwari, A. K. (2018). The nexus between access to electricity and labour productivity in developing countries. Energy Policy, 122, 715–726. https://doi.org/10.1016/j.enpol.2018.08.009

Alhassan, G. N., Adedoyin, F. F., Bekun, F. V., & Agabo, T. J. (2020). Does life expectancy, death rate and public health expenditure matter in sustaining economic growth under COVID‐19: Empirical evidence from Nigeria? Journal of Public Affairs: An International Journal, 21(4), e2302. https://doi.org/10.1002/pa.2302

Ali, S., Yusop, Z., Kaliappan, S. R., Chin, L., & Meo, M. S. (2022). Impact of trade openness, human capital, public expenditure and institutional performance on unemployment: Evidence from OIC countries. International Journal of Manpower, 43(5), 1108–1125. https://doi.org/10.1108/IJM-10-2020-0488

Allanson, P. (2017). Monitoring income-related health differences between regions in Great Britain: A new measure for ordinal health data. Social Science & Medicine, 175, 72–80. https://doi.org/10.1016/j.socscimed.2016.12.033

Allanson, P., & Cookson, R. (2022). Comparing healthcare quality: A common framework for both ordinal and cardinal data with an application to primary care variation in England. Health Economics, 31(12), 2593–2608. https://doi.org/10.1002/hec.4597

Al-Zyoud, H., Ali, S., & Ahmad, A. N. (2021). Determinants of human capital development in SAARC countries: Role of public infrastructure and institutional quality. Pakistan Economic and Social Review, 59(2), 179–202.

Anderson, D. R., Burnham, K. P., & White, G. C. (1998). Comparison of Akaike information criterion and consistent Akaike information criterion for model selection and statistical inference from capture-recapture studies. Journal of Applied Statistics, 25(2), 263–282. https://doi.org/10.1080/02664769823250

Arshada, M. N., & Malik, Z. A. (2015). Quality of human capital and labor productivity: a case of Malaysia. International Journal of Economics, Management and Accounting, 23(1), 37–55. https://doi.org/10. 31436/ijema.v23i1.289

Baharin, R., Aji, R. H., Yussof, I., & Saukan, N. M. (2020). Impact of human resource investment on labor productivity in Indonesia. Iranian Journal of Management Studies, 13(1), 139–164. https://doi.org/10. 22059/ijms.2019.280284.673616

Baltagi, B. H. (2021). Econometric analysis of panel data (6th ed.). Springer.

Box, G. E., Jenkins, G. M., Reinsel, G. C., & Ljung, G. M. (2015). Time series analysis: Forecasting and control (5th ed.). John Wiley and Sons Inc.

Brunello, G., Fort, M., Schneeweis, N., & Winter-Ebmer, R. (2016). The causal effect of education on health: What is the role of health behaviors? Health Econ, 25(3), 314–360. https://doi.org/10.1002/hec.3141

Chang, Y.-C., Chang, T., & Wang, M.-C. (2022). Are healthcare expenditures related to economic growth in China? Bootstrap ARDL approach. Front. Public Health, 9(766091), 1–7. https://doi.org/10.3389/fpubh.2021.766091

Chansarn, S. (2013). Educational attainment and its contribution to labor productivity growth in Thailand. Journal of Population and Social Studies, 21(2), 189–207.

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

Duggan, M., Goda, G. S., & Jackson, E. (2019). The effects of the affordable care act on health insurance coverage and labor market outcomes. National Tax Journal, 72(2), 261–322. https://doi.org/10.17310/ntj.2019.2.01

Ezoji, A., Assari, A., Mahdavi, M. R., & Jahangard, E. (2019). The impact of human capital (Health and education) on labor productivity; A composite model approach- A case study of Iran. Iran. Econ. Rev, 23(2), 373–397. https://doi.org/10.22059/ier.2019.70287

Gaies, B. (2022). Reassessing the impact of health expenditure on income growth in the face of the global sanitary crisis: The case of developing countries. The European Journal of Health Economics, 23, 1415–1436 . https://doi.org/10.1007/s10198-022-01433-1

Greene, W. H. (2008). Econometric analysis (6th ed.). Pearson/Prentice Hall.

Guo, D. (2018). Labour market impacts of school expenditure and class size: Evidence from China. The Journal of Development Studies, 54(7), 1137–1153. https://doi.org/10.1080/00220388.2017.1366451

Henderson, D. J., & Russell, R. R. (2005). Human capital and convergence: a production-frontier approach. International Economic Review, 46(4), 1167–1205. https://doi.org/10.1111/j.1468-2354.2005.00364.x

Hsiao, C. (2007). Panel data analysis—Advantages and challenges. TEST, 16, 1–22. https://doi.org/10.1007/s11749-007-0046-x

Knight, T. (2022). Women’s employment and public spending: a cross-country study. International Advances in Economic Research, 28(1–2), 1–17. https://doi.org/10.1007/s11294-022-09851-w

Li, Y., Deng, J., Hu, Z., & Gong, B. (2023). Economic policy uncertainty, industrial intelligence, and firms’ labour productivity: Empirical evidence from China. Emerging Markets Finance and Trade, 59(2), 498–514. https://doi.org/10.1080/1540496X.2022.2096433

Linhartova, V. (2021). Analyzing the role of public expenditures in human development: Panel data analysis of EU-28 countries. Montenegrin Journal of Economics, 17(1), 85–96. https://doi.org/10.14254/1800-5845/2021.17-1.6

Mačiulytė-Šniukienė, A., & Matuzevičiūtė, K(2018). Impact of human capital development on productivity growth in EU member states. Business, Management and Education, 16, 1–12. https://doi.org/10.3846/bme.2018.66

Magableh, S., Alalawneh, M., & Alqalawi, U. (2022). An empirical study on the effect of education on labor productivity. Journal of Governance and Regulation, 11(2), 301–308. https://doi.org/10.22495/jgrv11i2 siart9

Marconi, G. (2018). Education as a long-term investment: the decisive role of age in the education-growth relationship. KYKLOS, 71(1), 132–161. https://doi.org/10.1111/kykl.12165

Mehrara, M. (2011). Health expenditure and economic growth: an ARDL approach for the case of Iran. Journal of Economics and Behavioral Studies, 3(4), 249–256. https://doi.org/10.22610/jebs.v3i4.277

Moyo, C., Mishi, S., & Ncwadi, R. (2024). The determinants of labour productivity in the Eastern Cape Province: A sectoral and industry analysis. Development Southern Africa, 41(2), 371–387. https://doi.org/10.1080/0376835X.2024.2305150

Ngutsav, A., & Akaakohol, B. M. (2018). An empirical analysis of government education expenditure and labour productivity in Nigeria. International Journal of Social Sciences and Conflict Management, 3(2), 14-30.

Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrika, 75(2), 335–346. https://doi.org/10.1093/biomet/75.2.335

Phiri, A., & Mbaleki, C. (2022). Fiscal expenditures, revenues and labour productivity in South Africa. Cogent Economics & Finance, 10(1), 1–19. https://doi.org/10.1080/23322039.2022.2062912

Piabuo, S. M., & Tieguhong, J. C. (2017). Health expenditure and economic growth - a review of the literature and an analysis between the economic community for central African states (CEMAC) and selected African countries. Health Economics Review, 27(1), 1–13. https://doi.org/10.1186/s13561-017-0159-1

Prasetyo, D. E., Adenan, M., & Komariyah, S. (2019). Study of health expenditure and economic welfare in Indonesia. International Journal of Advanced Research in Science, Engineering and Technology, 6(7), 10125–10132.

Rahman, M. M., Khanam, R., & Rahman, M. (2018). Health care expenditure and health outcome nexus: New evidence from the SAARC-ASEAN region. Globalization and Health volume, 14(113), 1–11. https://doi.org/10.1186/s12992-018-0430-1

Rukumnuaykit, P., & Pholphirul, P. (2016). Human capital linkages to labour productivity: Implications from Thai manufacturers. Journal of Education and Work, 29(8), 922–955. https://doi.org/10.1080/13639080.2015.1104658

Sahnoun, M., & Abdennadher, C. (2022). Returns to investment in education in the OECD countries: Does Governance quality matter? Journal of the Knowledge Economy, 13(3), 1819–1842. https://doi.org/10.1007/s13132-021-00783-0

Sureiman, O. & Mangera, C. M. (2020). F test of overall significance in regression analysis simplified. Journal of the Practice of Cardiovascular Sciences, 6(2), 116–122. https://doi.org/10.4103/jpcs.jpcs_18_20

Viju, R., & Wullianallur, R. (2020). Healthcare expenditure and economic performance: Insights from the United States data. Frontiers in Public Health, 8, 1–15. https://doi.org/10.3389/fpubh.2020.00156

Wahab, A. A., & Kefeli, Z. (2017). Modeling the effect of healthcare expenditure and education expenditure on labour productivity: A study on OIC countries. Journal of Business and Economics Review (JBER), 2(2), 31–37. http://dx.doi.org/10.35609/jber.2017.2.2(5)

Yang, X. (2020). Health expenditure, human capital, and economic growth: An empirical study of developing countries. Int J Health Econ Manag, 20(1), 163–176. https://doi.org/10.1007/s10754-019-09275-w

Ye, L., & Zhang, X. (2018). Nonlinear granger causality between health care expenditure and economic growth in the OECD and major developing countries. International Journal of Environmental Research and Public Health, 15(9), 1–16. https://doi.org/10.3390/ijerph15091953

Yusri, A. (2022). Does government expenditure affect poverty, health, and education? Evidence from Aceh, Indonesia. The Indonesian Journal of Development Planning, 6(1), 1–20. https://doi.org/10.36574/jpp.v6i1.249

Zhao, W., & Xu, Y. (2022). Public expenditure and green total factor productivity: Evidence from Chinese prefecture-level cities. International Journal of Environmental Research and Public Health, 19(9), 1–27. https://doi.org/10.3390/ijerph19095755

Ziberi, B. F., Rexha, D., Ibraimi, X., & Avdiaj, B. (2022). Empirical analysis of the impact of education on economic growth. Economies, 10(4), 1–10. https://doi.org/10.3390/economies10040089

Downloads

Published

2026-06-01

Issue

Section

Articles