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Government Spending on Tertiary Education, Knowledge, Technology, and Economic Growth

Author

Listed:
  • Tang , Tuck Cheong

    (Universiti Malaya, Malaysia)

  • Lai, Siow Li

    (Universiti Malaya, Malaysia)

Abstract

This study examines the role of government spending on tertiary education in promoting economic growth through knowledge creation and technology for panel data from 71 countries (1998-2014). This transmission channel is supported by Granger non-causality tests on high-income groups only. Both all panels (all countries) and upper-middle-income groups demonstrated direct causation from the government’s support of tertiary education to economic growth and vice versa. Additionally, the lower-middle-income group acknowledged the importance of government spending on tertiary education to stimulate output via interaction between knowledge and technology. These findings remain feasible with the inclusion of the governance variable. This study adds new findings and offers relevant policy insights, especially in the era of a knowledge-based economy.

Suggested Citation

  • Tang , Tuck Cheong & Lai, Siow Li, 2022. "Government Spending on Tertiary Education, Knowledge, Technology, and Economic Growth," Journal of Economic Development, The Economic Research Institute, Chung-Ang University, vol. 47(4), pages 99-122, December.
  • Handle: RePEc:ris:jecdev:0005
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    References listed on IDEAS

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    1. William F. Blankenau & Nicole B. Simpson & Marc Tomljanovich, 2007. "Public Education Expenditures, Taxation, and Growth: Linking Data to Theory," American Economic Review, American Economic Association, vol. 97(2), pages 393-397, May.
    2. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    3. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    4. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    5. Jean-Pierre Vidal & Michael Bräuninger, 2000. "Private versus public financing of education and endogenous growth," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(3), pages 387-401.
    6. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    7. Glomm, Gerhard & Ravikumar, B, 1992. "Public versus Private Investment in Human Capital Endogenous Growth and Income Inequality," Journal of Political Economy, University of Chicago Press, vol. 100(4), pages 818-834, August.
    8. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    9. AyÅŸen Altun Ada & Hakan AcaroÄŸlu, 2014. "Human Capital and Economic Growth: A Panel Data Analysis with Health and Education for MENA Region," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 4(4), pages 1-6.
    10. Blankenau, William, 2005. "Public schooling, college subsidies and growth," Journal of Economic Dynamics and Control, Elsevier, vol. 29(3), pages 487-507, March.
    11. Marios Zachariadis, 2004. "R&D‐induced Growth in the OECD?," Review of Development Economics, Wiley Blackwell, vol. 8(3), pages 423-439, August.
    12. Kaufmann, Daniel & Kraay, Aart & Mastruzzi, Massimo, 2010. "The worldwide governance indicators : methodology and analytical issues," Policy Research Working Paper Series 5430, The World Bank.
    13. Bogdan Oancea & Richard Pospíšil & Raluca Mariana Drăgoescu, 2017. "Higher Education and Economic Growth. A Comparison between Czech Republic and Romania," Prague Economic Papers, Prague University of Economics and Business, vol. 2017(4), pages 467-486.
    14. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
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    Cited by:

    1. Yuqian Zhang & Chenchen Su & Chen Xu, 2025. "How Does the National Key Ecological Function Areas Policy Affect High-Quality Economic Development?—Evidence from 243 Cities in China," Land, MDPI, vol. 14(2), pages 1-21, February.

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    More about this item

    Keywords

    Economic Growth; Government Spending; Knowledge; Technology; Tertiary Education;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • H52 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Education
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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