1. bookVolume 10 (2021): Edizione 1-2 (December 2021)
Dettagli della rivista
Prima pubblicazione
05 Dec 2019
Frequenza di pubblicazione
1 volta all'anno
Accesso libero

Estimating the Size of Construction Industry Expenditure for Economic Development and Sustainability in Nigeria: Autoregressive Distributed Lag (ARDL) Approach

Pubblicato online: 22 May 2022
Volume & Edizione: Volume 10 (2021) - Edizione 1-2 (December 2021)
Pagine: 76 - 102
Dettagli della rivista
Prima pubblicazione
05 Dec 2019
Frequenza di pubblicazione
1 volta all'anno

Adama, J.I. and Ohwofasa, B.O. (2015). Macroeconomic determinants of education expenditure in Nigeria, 1980-2012. Developing Country Studies, 5(6), pp.1-10. Search in Google Scholar

Adamu, J. and Hajara, B. (2015). Government expenditure and economic growth nexus: Empirical evidence from Nigeria (1972-2012). IOSR Journal of Economics and Finance, 6(2), pp.61-69. Search in Google Scholar

Ahmed, Z.S. (2019). Highlights/breakdown of the 2020 executive budget proposal. Budget Office of the Federation, Abuja, Nigeria. Search in Google Scholar

Aigheyisi, O.S. (2013). The relative impacts of federal capital and recurrent expenditures on Nigeria’s economy (1980-2011). American Journal of Economics, 3(5), pp.210-221. https://doi.org.10.5923/j.economics.20130305.02. Search in Google Scholar

Akanbi, O.A. (2014). Government expenditure in Nigeria: Determinants and trends. Mediterranean Journal of Social Sciences, 5(27), pp.98–115.10.5901/mjss.2014.v5n27p98 Search in Google Scholar

Aladejare, S. A. (2019). Testing the robustness of public spending determinants on public spending decisions in Nigeria. International Economic Journal, 33(1), pp.65-87. https://doi.org.10.1080/10168737.2019.1570302.10.1080/10168737.2019.1570302 Search in Google Scholar

Aregbeyen, O.O. and Akpan, U.F. (2013). Long-term determinants of government expenditure: A disaggregated analysis for Nigeria. Journal of Studies in Social Sciences, 5(1), pp.31–50. Search in Google Scholar

Arltová, M., and Fedorová, D. (2016). Selection of unit root test on the basis of length of the time series and value of AR(1) parameter. Statistika, 93(3), pp.47-64. Search in Google Scholar

Awuh, V.E. (2018). The composition of public expenditure: Does it matter for growth? Master of Science Thesis, Department of Economics, University of San Francisco, CA. [online]. Available at: https://repository.usfa.edu/thes/1072 (Accessed: 11 March 2021). Search in Google Scholar

Babatunde, S.A. (2018). Government spending on infrastructure and economic growth in Nigeria. Economic Research - Ekonomska Istraživanja, 31(1), pp.997-1014. https://doi.org/10.1080/1331677X.2018.1436453.10.1080/1331677X.2018.1436453 Search in Google Scholar

Balaj, D. and Lani, L. (2017). The impact of public expenditure on economic growth of Kosovo. Acta Universitatis Danubius. Œconomica, 13(5), pp.401-412. Search in Google Scholar

Deravi, M.K. (2017). Economic impact of the commercial construction industry on the economy of the State of Alabama. [online]. Available at: https://www.abc-alabama.org/Portals/92/ecr19824/Economic%20Impact%20Study%20Update%20May%202017.pdf (Accessed: 24 January 2021). Search in Google Scholar

Dickey, D.A. and Fuller, W.A. (1979). Distributions of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association 74(366), pp.427–431. https://doi.org/10.2307/2286348.10.2307/2286348 Search in Google Scholar

Durevall, D. and Henrekson, M. (2011). A futile quest for a grand explanation of long-run government expenditure. Journal of Public Economics, 95(7-8), pp.708-717. https://doi.org/10.1016/j.jpubeco.2011. Search in Google Scholar

Edame, G.E., Udude, C.C. and Ugwu, U.D. (2014). An analysis of public expenditure growth on infrastructure in Nigeria. International Journal of Humanities, Social Sciences and Education, 1(12), pp.18-36. Search in Google Scholar

Elliott, G., Rothenberg, T.J. and Stock, J.H. (1996). Efficient tests for an autoregressive unit root. Econometrica, 64(4), pp.813-836. https://doi.org/10.2307/2171846.10.2307/2171846 Search in Google Scholar

Eterovic, D.S. and Eterovic, N.A. (2012). Political competition versus electoral participation: Effects on government’s size. Economics of Governance, 13(4), pp.333–363. https://doi.org/10.1007/s10101-012-0114-x.10.1007/s10101-012-0114-x Search in Google Scholar

Facchini, F. and Melki, M. (2013). Efficient government size: France in the 20th century. European Journal of Political Economy, 31, pp.1-14. https://doi.org/10.1016/j.ejpoleco.2013. Search in Google Scholar

Fatai, O.O., Omolara, Y.J. and Taiwo, A.B. (2016). Infrastructure finance and development in Nigeria. Arabian Journal of Business and Management Review (Nigerian Chapter), 3(12), 44-54.10.12816/0027217 Search in Google Scholar

Foye, V.O. (2014). An analysis of the macroeconomic determinants of public capital spending in Nigeria. Journal of Economic and Sustainable Development, 5(4), 1-12. Search in Google Scholar

Gachunga, M.J. (2019). Modelling the determinants of government expenditure in Kenya. International Journal of Scientific and Management Research, 2(5), 1-13. Search in Google Scholar

Ghouse, G., Khan, S.A. and Rehman, A.U. (2018). ARDL model as a remedy for spurious regression: Problems, performance and prospectus. Munich Personal RePEc Archive, 83973. [online]. Available at: https://mpra.ub.uni-muenchen.de/83973 (Accessed: 11 March 2021). Search in Google Scholar

Granger, C.W.J. and Newbold, P. (1974). Spurious regressions in econometrics. Journal of Econometrics, 2(2), pp.111-120. https://doi.org/10.1016/0304-4076(74)90034-7.10.1016/0304-4076(74)90034-7 Search in Google Scholar

Hood, R., Husband, D. and Yu, F. (2002). Recurrent expenditure requirements of capital projects: Estimation for budget purposes. Policy Research Working Paper 2938, Poverty Reduction and Economic Management Sector Unit, Europe and Central Asia Region, The World Bank, NW, Washington. DC. [online]. Available at: https://openknwoledge.worldbank.org/handle/10986/19195 (Accessed: 13 March 2021). Search in Google Scholar

Jalles, J. (2019). Wagner’s Law and government functions: Granularity matters. Journal of Economic Studies, 46(2), pp.446-466. https://doi.org/10.1108/JES-02-2018-0049.10.1108/JES-02-2018-0049 Search in Google Scholar

Jiang, H. and Liu, C. (2015). Identifying determinants of demand for construction using an econometric approach. International Journal of Strategic Property Management, 19(4), pp.346-357. https://doi.org/10.3846/1648715X.2015.1072856.10.3846/1648715X.2015.1072856 Search in Google Scholar

Jibir, A. and Aluthge, C. (2019). Modelling the determinants of government expenditure in Nigeria. Cogent Economics & Finance, 7(1), p.1620154. https://doi.org/10.1080/23322039.2019.1620154.10.1080/23322039.2019.1620154 Search in Google Scholar

Kumar, S., Webber, D.J. and Fargher, S. (2012). Wagner’s Law revisited: Cointegration and causality tests for New Zealand. Applied Economics, 44(5), pp.607-616. https://doi.org/10.1080/00036846.2010.511994.10.1080/00036846.2010.511994 Search in Google Scholar

Kwiatkowski, D., Phillips, P.C.B. Schmidt, P. and Shin, Y. (1992). Testing the null hypothesis of stationarity against the alternative of a unit root: How sure are we that economic time series have a unit root? Journal of Econometrics, 54(1-3), pp.159–178. https://doi.org/10.1016/0304-4076(92)90104-Y.10.1016/0304-4076(92)90104-Y Search in Google Scholar

Magazzino, C., Giolli, L. and Mele, M. (2015). Wagner’s Law and Peacock and Wiseman’s displacement effect in European Union countries: A panel data. International Journal of Economics and Financial Issues, 5(3), pp.812-819. Search in Google Scholar

Maluleke, G. (2017). The determinants of government expenditure: Analysis of the empirical literature from 1995-2016. Acta Universitatis Danubius. Œconomica, 13(2), pp.212-219. Search in Google Scholar

Mogues, T. (2012). What determines public expenditure allocations? A review of theories and implications for agricultural public investment. IFPRI Discussion Paper 01206, International Food Policy Research Institute (IFPRI), Washington DC, United States. http://dx.doi.org/10.2139/ssrn.2198472.10.2139/ssrn.2198472 Search in Google Scholar

Molapo, S.S. (2017). Analysis of public expenditure growth on infrastructure in Lesotho. The Macroeconomic and Financial Management Institute of Eastern and Southern Africa (MEFMI) Working Paper. [online]. Available at: http://www.mefmi.org/images/effect-of-public-expenditure....,2017 (Accessed: 05 December 2020). Search in Google Scholar

NBS. (2014). Revised and Final GDP Rebased Result by Output Approach. Search in Google Scholar

Nkoro, E. and Uko, A.K. (2016). Autoregressive distributed lag (ARDL) cointegration technique: Application and interpretation. Journal of Statistical and Econometric Methods, 5(3), pp.63-91. Search in Google Scholar

Obeng, S.K. and Sakyi, D. (2017). Explaining the growth of public spending in Ghana. The journal of Developing Areas, 51(1), pp.104-128. https://doi.org/10.1353/jda.2017.0006.10.1353/jda.2017.0006 Search in Google Scholar

Okafor, C. and Eiya, O. (2011). Determinants of growth in government expenditure: An empirical analysis of Nigeria. Research Journal of Business Management, 5(1), pp.44–50. https://doi.org/10.3923/rjbm.2011. Search in Google Scholar

Oke, A., Ogungbile, A., Oyewobi, L. and Tengan, C. (2016). Economic development as a function of construction project performance. Journal of Construction Project Management and Innovation, 6(2), pp.1447-1459. Search in Google Scholar

Okoye, P.U. (2021). Driving public investments in construction sector for economic growth in Nigeria: A synthesis of Wagnerian and Keynesian hypotheses. Universal Journal of Management, 9(1), pp.1-12. https://doi.org/10.13189/ujm.2021.090101.10.13189/ujm.2021.090101 Search in Google Scholar

Okoye, P.U., Ngwu, C. and Ohaedeghasi. C.I. (2021). The tripartite dynamic relationship between poverty, unemployment and construction sector: Empirical evidence from Nigeria. Management Dynamics in the Knowledge Economy, 9(1), pp.17-38. http://doi.org/10.2478/mdke-2021-0002. Search in Google Scholar

Okoye, P.U., Ngwu, C. Ezeokoli, F.O. and Ugochukwu, S.C. (2016). Imperatives of economic fluctuation in the growth and performance of Nigerian construction sector. Microeconomics and Macroeconomics, 4(2), pp.46-55. http://doi.org/10.5923/j.m2economics.20160402.02. Search in Google Scholar

Oladinrin, T.O., Ogunsemi, D.R. and Aje, I.O. (2012). Role of Construction Sector in Economic Growth: Empirical Evidence from Nigeria. FUTY Journal of the Environment, 7(1), pp.50-60. http://doi.org/10.4314/fje.v7i1.4.10.4314/fje.v7i1.4 Search in Google Scholar

Olatunji, S.O., Oke, A.E. and Aghimien, D.O. (2016). Effect of construction project performance on economic development of Nigeria. Journal of Economics and Sustainable Development, 7(12), pp.142-149. Search in Google Scholar

Olayungbo, D.O. (2013). Government spending and inflation in Nigeria: An asymmetry causality test. International Journal of Humanities and Management Sciences, 1(4), pp.238-242. Search in Google Scholar

Omodero, C.O. (2020). Analysis of factors influencing public capital investment in Nigeria. Journal of Educational and Social Research, 10(1), p.62. https://doi.org/10.36941/jesr-2020-0007.10.36941/jesr-2020-0007 Search in Google Scholar

Owoeye, O. (2019). How Nigeria’s construction sector slows despite claims of increased government spending. Business Day Newspaper, February 13, 2019. Search in Google Scholar

Paparoditis, E. and Politis, D.N. (2018). The asymptotic size and power of the Augmented Dickey-Fuller test for a unit root. Econometric Reviews, 37, pp.955-973. https://doi.org/10.1080/00927872.2016.1178887.10.1080/00927872.2016.1178887 Search in Google Scholar

Paternostro, S., Rajaram, A. and Tiongson, E.R. (2005). How does the composition of public spending matter? Policy Research Working Paper 3555, The World Bank, NW, Washington. DC. [online]. Available at: http://econ.worldbank.org (Accessed: 24 January 2021). Search in Google Scholar

Pelawaththage, N.K. (2019). An empirical investigation of Wagner’s Law: The case of Sri Lanka. Colombo: Godage Publishers, (pp.45-55). [online]. Available at: http://dl.lib.mrt.ac.ik/handle/123/14093 (Accessed: 12 March 2021). Search in Google Scholar

Pesaran, M.H. and Smith, R. (1997). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79–113. http://doi.org/10.1016/0304-4076(94)01644-F.10.1016/0304-4076(94)01644-F Search in Google Scholar

Pesaran, M.H. and Shin, Y. (1999). An autoregressive distributed-lag modelling approach to cointegration analysis. In The Ragnar Frisch Centennial Symposium: Econometrics and Economic Theory in the 20th Century. Cambridge: Cambridge University Press. Search in Google Scholar

Pesaran, M.H., Shin, Y. and Smith, R.J. (2001). Bounds testing approaches to the analysis of level relationships. Journal of Applied Econometrics, 16(3), pp.289-326. https://doi.org/10.1002/jae.616.10.1002/jae.616 Search in Google Scholar

Pheng, L.S. and Hou, L.S. (2019). The Economy and the Construction Industry. In: Construction Quality and the Economy. Management in the Built Environment. Springer, Singapore. https://doi.org/10.1007/978-981-13-5847-0_2.10.1007/978-981-13-5847-0_2 Search in Google Scholar

Phillips, P. and Perron, P. (1988). Testing for a unit root in time series regression. Biometrika 75(2), pp.335-346. https://doi.org/10.2307/2336182.10.2307/2336182 Search in Google Scholar

Sagdic, E.N., Sasmaz, M.U. and Tuncer, G. (2020). Wagner verses Keynes: Empirical evidence from Turkey’s Provinces. Panoeconomicus, 67(5), pp.657-674. https://doi.org/10.2298/PAN170531001S.10.2298/PAN170531001S Search in Google Scholar

Shonchoy, A.S. (2010). Determinants of government consumption expenditure in developing countries: A panel data analysis. Discussion Paper, No. 266, Japan: Institute of Developing Economies (IDE), Japan External Trade Organization(JETRO). Search in Google Scholar

Shonchoy, A.S. (2016). Political institutions, governance, and consumption expenditure in developing countries: A panel data analysis. Contemporary Economic Policy, 34(4), pp.710-728. https://doi.org/10.1111/coep.12162.10.1111/coep.12162 Search in Google Scholar

Shrestha, M.B. and Bhatta, G.R. (2018). Selecting appropriate methodological framework for time series data analysis. The Journal of Finance and Data Science, 4(2), 71-89. https://doi.org/10.1016/j.fds.2017.11.001. Search in Google Scholar

Škuflić, L., Mlinarić, D. and Družić, M. (2018). Determinants of construction sector profitability in Croatia. Zbornik Radova Ekonomskog Fakulteta u Rijeci, 36(1), pp.337-354. https://doi.org/10.18045/zbefri.2018.1.337.10.18045/zbefri.2018.1.337 Search in Google Scholar

Taye, O.O. and Dada, M.O. (2012). Appraisal of private sector involvement in infrastructure development in Lagos State Nigeria. Mediterranean Journal of Social Sciences, 2(2), pp.399-412. Search in Google Scholar

Uchenna, E. and Evans, O. (2014). Government expenditure in Nigeria: An examination of tri-theoretical mantras. Journal of Economic and Social Research, 14(2), pp.27–52. Search in Google Scholar

Udoma, U.U. (2018a). 2018 budget of consolidation. Public presentation of the 2018 FGN budget. Search in Google Scholar

Udoma, U.U. (2018b). Breakdown of 2019 FGN budget proposal. Public presentation of the 2019 budget of continuity. Search in Google Scholar

Ukwueze, E.R. (2015). Determinants of the size of public expenditure in Nigeria. SAGE Open, 3(4), pp.1-8. https://doi.org/10.1177/2158244015621346.10.1177/2158244015621346 Search in Google Scholar

Uwakaeme, S.O. (2017). Analysis of non-oil private sector investment determinants (1980-2015): A tool for economic diversification. American Journal of Economics, 7(1), pp.1-14. https://doi.org/10.5923/j.economics.20170701.01. Search in Google Scholar

Yun, W.S. and Yusoff, R. (2018). The determinants of public education expenditure in Malaysia, Jurnal Ekonomi Malaysia, 52(2), 109-122. http://dx.doi.org/10.17576/JEM-2018-5202-9.10.17576/JEM-2018-5202-9 Search in Google Scholar

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