Human capital development as the missing link between tax reforms and manufacturing performance: Evidence from Nigeria using bootstrap and nonlinear autoregressive distributed lag (ARDL) modelling

Authors

DOI:

https://doi.org/10.51867/ajernet.7.3.79

Keywords:

ARDL Bounds Testing, Human Capital Development, Nigeria, Manufacturing Sector Performance, Tax Reforms, TVET Governance

Abstract

This study examines the impact of tax reforms on manufacturing sector performance in Nigeria from 1990 to 2023, foregrounding the moderating role of human capital development as a central concern for education policy and workforce governance. The study is theoretically anchored in Neoclassical Investment Theory, Endogenous Growth Theory, and Human Capital Theory, which jointly frame tax reform, physical capital formation, and human capital accumulation as complementary drivers of manufacturing performance. Drawing on secondary data from the Central Bank of Nigeria and World Development Indicators, the research employs an Autoregressive Distributed Lag (ARDL) bounds testing approach augmented with a novel reform intensity index and bootstrap small-sample corrections. The study positions education systems and skills development infrastructure as critical transmission mechanisms through which fiscal policy generates or fails to generate sustainable industrial growth. The ARDL bounds test confirms a long-run equilibrium (F = 9.341). Bootstrap-corrected estimates reveal a significant error correction term (−0.709, p = 0.042), indicating 71% annual adjustment towards equilibrium. Long-run estimates from the human capital-augmented model show that investment (β = 38.46, p = 0.045), tax reform intensity (β = 75.22, p = 0.046), and human capital development (β = 22.88, p = 0.034) positively influences manufacturing performance. The significant and positive interaction term between reform intensity and human capital (β = 12.35, p = 0.038) confirms that fiscal policy effectiveness is contingent on education and training quality. Non-linear ARDL results confirm asymmetric effects for tax revenue and exchange rate. Granger causality establishes unidirectional links from human capital, inflation, and investment to manufacturing performance. The study concludes that tax reforms foster long-term industrial growth only when implemented alongside strategic investments in human capital. Recommendations address education managers, policymakers, and Technical and Vocational Education and Training (TVET) administrators, emphasising curriculum alignment, institutional capacity-building, and public-private partnerships.

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References

Adefeso, H. A. (2018). Government tax policy and performance of listed manufacturing firms in Nigeria: Evidence from dynamic panel data model. Zagreb International Review of Economics and Business, 21(1), 1-16. https://doi.org/10.2478/zireb-2018-0001

Adeagbo, J. O. (2024). Investment in education and economic growth nexus: Quantitative evidence from Nigeria. FUOYE Journal of Educational Management, 1(2), 1-12. https://www.fjam.fuoye.edu.ng/index.php/fjam/article/view/231

Adeagbo, J. O., & Abiola, A. G. (2015). Human capital development as a recipe for sustainable growth in Nigeria. International Journal of Recent Research in Commerce and Management, 2(3), 86-105. https://www.paperpublications.org/upload/book/Human%20Capital%20Development-418.pdf

Adeagbo, J. O., Mosobalaje, R. O., & Olaoye, F. O. (2025). Educational policies and labour market demand in Nigeria: A pathway to sustainable development. Emmanuel Alayande University of Education Journal of Multidisciplinary Studies, 2(1), 1-16. https://doi.org/10.60787/eaued-jms.vol2no1.31

Adeagbo, J. O., Salako, G., & Ojediran, O. A. (2023). Education, poverty and economic growth in Nigeria. NOUN Journal of Education, 9, 136-142.

Allais, S. (2012). Will skills save us? Rethinking the relationships between vocational education, skills development policies, and social policy in South Africa. International Journal of Educational Development, 32(5), 632-642.

https://doi.org/10.1016/j.ijedudev.2012.01.001

Aniemeke, O. T., & Owamah, E. K. (2026). Taxation and manufacturing sector performance in Nigeria. Jalingo Journal of Social and Management Sciences, 7(2), 65-83. https://doi.org/10.66490/jjsms.v7i2.2292

Becker, G. S. (1964). Human capital: A theoretical and empirical analysis, with special reference to education. National Bureau of Economic Research.

Cho, J. S., Kim, T., & Shin, Y. (2015). Quantile cointegration in the autoregressive distributed-lag modelling framework. Journal of Econometrics, 188(1), 281-300. https://doi.org/10.1016/j.jeconom.2015.05.003

Jorgenson, D. W. (1963). Capital theory and investment behavior. American Economic Review, 53(2), 247-259. https://www.jstor.org/stable/1803868

Joshua-Gyang, E. (2024). Impact of fiscal policy indicators on the manufacturing sector in Nigeria. International Journal of Advanced Research in Tourism, Environment and Social Sciences, 3(1), 36-53.

https://doi.org/10.48028/iiprds/ijartess.v3.i1.04

KPMG. (2025). Nigeria Tax Act 2025: Implications for the manufacturing sector. KPMG Professional Services.

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

McGrath, S. (2012). Vocational education and training for development: A policy in need of a theory? International Journal of Educational Development, 32(5), 623-631. https://doi.org/10.1016/j.ijedudev.2011.12.001

Musa, I., Magaji, S., Ismail, Y., Ahmed, E. Y. B., Wafure, O. G., Gombe, B. M., & Sani, S. B. (2025). Impact of tax structure on economic growth in Nigeria: An empirical analysis using vector error correction model. New Advances in Business, Management and Economics, 8, 128-155.

https://doi.org/10.9734/bpi/nabme/v8/5586

National Bureau of Statistics. (2025). GDP report Q4 2025. NBS.

Oladipo, O. A., Iyoha, F., Fakile, S. A., Asaleye, A. J., & Eluyela, F. D. (2019). Do government taxes have implications on manufacturing sector output? Evidence from Nigeria. Journal of Management Information and Decision Sciences, 22(3), 181-190.

Olufemi, A. T., Jayeola, O. L. A. B. I. S. I., Oladele, A. S., & Naimot, A. O. (2018). Tax revenue and economic growth in Nigeria. Scholedge International Journal of Management & Development, 5(7), 72-85. https://doi.org/10.19085/journal.sijmd050701

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

Romer, P. M. (1990). Endogenous technological change. Journal of Political Economy, 98(5, Part 2), S71-S102. https://doi.org/10.1086/261725

Sakanko, M. A., Manomi, J. N., Ijoko, A., & Audu, U. A. (2022). Do tax policies in Nigeria have similar implications for the manufacturing sector output? Etikonomi, 21(2), 269-280. https://doi.org/10.15408/etk.v21i2.25118

Samotu, I. A., Salawudeen, A., & Ibrahim, T. R. (2024). Value added tax (VAT) and manufacturing output in Nigeria. International Journal of Governance and Development Studies, 11(1), 27-44.

Schultz, T. W. (1961). Investment in human capital. American Economic Review, 51(1), 1-17. https://www.jstor.org/stable/1818907

Shin, Y., Yu, B., & Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In R. C. Sickles & W. C. Horrace (Eds.), Festschrift in honor of Peter Schmidt: Econometric methods and applications (pp. 281-314). Springer. https://doi.org/10.1007/978-1-4899-8008-3_9

Wuyah, Y. T. (2026). Value added tax and manufacturing sector performance in Nigeria: Short-run and long-run evidence. UMYUK Journal of Economics and Development, 3(1), 93-110. https://doi.org/10.70861/ujed20260301008

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Published

2026-08-16

How to Cite

Ojediran, O. A., Adeagbo, J. O., & Ojo, K. A. (2026). Human capital development as the missing link between tax reforms and manufacturing performance: Evidence from Nigeria using bootstrap and nonlinear autoregressive distributed lag (ARDL) modelling. African Journal of Empirical Research, 7(3), 1055-1066. https://doi.org/10.51867/ajernet.7.3.79