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Government spending on infrastructure and economic growth in Nigeria

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  • Shakirat Adepeju Babatunde

Abstract

This study aims to investigate government spending on infrastructure. Both primary and secondary data are used for the study. The secondary data comprise of reported annual spending on selected infrastructure and annual Gross Domestic Products for 1980 to 2016 for Nigeria. The data treatments used for the secondary data are unit root and co- integration tests using Augmented Dickey–Fuller and Phillip–Perron model. Weighted least square was used to test the sample of 37-year annual time series using vector error correction model. For the primary data, a sample of 242 respondents is utilised for the study. Statistical random sampling was used for the sample selection. The data analysis was done with descriptive statistics. Findings from the study indicate that government spending on transport and communication, education and health infrastructure has significant effects on economic growth; spending on agriculture and natural resources infrastructure recorded a significant inverse effect on economic growth in Nigeria. An element of fiscal illusion was observed in the government spending on agriculture and natural resources indicating that government is not contributing as much as the private sector in spending on agriculture and natural resources infrastructure in Nigeria.

Suggested Citation

  • Shakirat Adepeju Babatunde, 2018. "Government spending on infrastructure and economic growth in Nigeria," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 31(1), pages 997-1014, January.
  • Handle: RePEc:taf:reroxx:v:31:y:2018:i:1:p:997-1014
    DOI: 10.1080/1331677X.2018.1436453
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    Cited by:

    1. Cornelius O. Okorie & Christopha C. Arua & Felix M. Nwankwo, 2023. "Nigerian State and Rent-Dependent Economy: An Exposition of Vision 2020 Policy Strategies for Future Sustainable Development," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 7(3), pages 1330-1345, March.
    2. Feng, Wei & Yuan, Hang, 2023. "The impact of medical infrastructure on regional innovation: An empirical analysis of China's prefecture-level cities," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).

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