IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v6y2018i1p16-d135175.html
   My bibliography  Save this article

Modeling the Construction Sector and Oil Prices toward the Growth of the Nigerian Economy: An Econometric Approach

Author

Listed:
  • Peter Uchenna Okoye

    (Department of Building, Nnamdi Azikiwe University, Awka 420110, Nigeria)

  • Chinwendu Christopher Mbakwe

    (Department of Quantity Surveying, Nnamdi Azikiwe University, Awka 420110, Nigeria)

  • Evelyn Ndifreke Igbo

    (Department of Building, Abia State University, Uturu 441107, Nigeria)

Abstract

This study empirically examined the interrelationship between the construction sector, oil prices, and the actual gross domestic product (GDP) in Nigeria. Using annual economic data from the National Bureau of Statistics (NBS), the OPEC Annual Statistical Bulletin, and econometric statistics, we found that although very strong positive and significant correlations exist between the construction sector output and total GDP output (0.934), the construction sector output and oil prices (0.856), and the total GDP output and oil prices (0.822), these linear relationships only exist for a short time. However, these relationships do not result in any direct causal influence on each other, except for the uni-directional Granger causal relationship that flows from the total GDP output to the construction sector output, which implies that economic activities of other major non-oil sectors stimulate the construction activities in Nigeria. Thus, we argue that neither the construction sector nor the oil prices directly influence the aggregate economy; rather, the other sectors’ activities stimulate the construction sector in Nigeria. Two policy recommendations for achieving the Federal Government’s medium term Economic Recovery and Growth Plan (ERGP) are suggested: (1) the Nigerian government should de-emphasize overreliance on the oil sector through policy readjustment and (2) an urgent need for economic diversification in Nigeria exists, since we revealed that an increase in the aggregate GDP output is due to the activities of other non-oil sectors.

Suggested Citation

  • Peter Uchenna Okoye & Chinwendu Christopher Mbakwe & Evelyn Ndifreke Igbo, 2018. "Modeling the Construction Sector and Oil Prices toward the Growth of the Nigerian Economy: An Econometric Approach," Economies, MDPI, vol. 6(1), pages 1-19, March.
  • Handle: RePEc:gam:jecomi:v:6:y:2018:i:1:p:16-:d:135175
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/6/1/16/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/6/1/16/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hamilton, James D., 1996. "This is what happened to the oil price-macroeconomy relationship," Journal of Monetary Economics, Elsevier, vol. 38(2), pages 215-220, October.
    2. Cheung, Yin-Wong & Lai, Kon S, 1995. "Lag Order and Critical Values of a Modified Dickey-Fuller Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(3), pages 411-419, August.
    3. Emeka Nkoro & Aham Kelvin Uko, 2016. "Autoregressive Distributed Lag (ARDL) cointegration technique: application and interpretation," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 5(4), pages 1-3.
    4. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 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, Elsevier, vol. 54(1-3), pages 159-178.
    5. Torul Orhan & Alper C. Emre, 2010. "Asymmetric Effects of Oil Prices on the Manufacturing Sector in Turkey," Review of Middle East Economics and Finance, De Gruyter, vol. 6(1), pages 90-105, July.
    6. Mohd Shahidan Shaari & Tan Lee Pei & Hafizah Abdul Rahim, 2013. "Effects of Oil Price Shocks on the Economic Sectors in Malaysia," International Journal of Energy Economics and Policy, Econjournals, vol. 3(4), pages 360-366.
    7. François Lescaroux & Valérie Mignon, 2008. "On the Influence of Oil Prices on Economic Activity and Other Macroeconomic and Financial Variables," Working Papers 2008-05, CEPII research center.
    8. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    9. Cheung, Yin-Wong & Lai, Kon S, 1995. "Lag Order and Critical Values of the Augmented Dickey-Fuller Test," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 277-280, July.
    10. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    11. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    12. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    13. Idrisov, Georgy & Kazakova, Maria & Polbin, Andrey, 2015. "A theoretical interpretation of the oil prices impact on economic growth in contemporary Russia," Russian Journal of Economics, Elsevier, vol. 1(3), pages 257-272.
    14. Brown, Stephen P. A. & Yucel, Mine K., 2002. "Energy prices and aggregate economic activity: an interpretative survey," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(2), pages 193-208.
    15. Amaira Bouzid, 2012. "The Relationship of Oil Prices and Economic Growthin Tunisia: A Vector Error Correction Model Analysis," Romanian Economic Journal, Department of International Business and Economics from the Academy of Economic Studies Bucharest, vol. 15(43), pages 3-22, March.
    16. Tamer Kulaksizoglu, 2015. "Lag Order and Critical Values of the Augmented Dickey–Fuller Test: A Replication," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 30(6), pages 1010-1010, September.
    17. Raymond Tse & Sivaguru Ganesan, 1997. "Causal relationship between construction flows and GDP: evidence from Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 15(4), pages 371-376.
    18. François Lescaroux & Valérie Mignon, 2008. "On the influence of oil prices on economic activity and other macroeconomic and financial variables ," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 32(4), pages 343-380, December.
    19. Oluwole Alfred Olatunji, 2010. "The impact of oil price regimes on construction cost in Nigeria," Construction Management and Economics, Taylor & Francis Journals, vol. 28(7), pages 747-759.
    20. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    21. Mr. Tobias N. Rasmussen & Agustin Roitman, 2011. "Oil Shocks in a Global Perspective: Are they Really That Bad?," IMF Working Papers 2011/194, International Monetary Fund.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Boateng, Ebenezer & Adam, Anokye M. & Junior, Peterson Owusu, 2021. "Modelling the heterogeneous relationship between the crude oil implied volatility index and African stocks in the coronavirus pandemic," Resources Policy, Elsevier, vol. 74(C).
    2. Ngozi G. Emenogu & Monday Osagie Adenomon & Nwaze Obini Nweze, 2020. "On the volatility of daily stock returns of Total Nigeria Plc: evidence from GARCH models, value-at-risk and backtesting," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-25, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    2. John D. Levendis, 2018. "Time Series Econometrics," Springer Texts in Business and Economics, Springer, number 978-3-319-98282-3, August.
    3. Nnaemeka Vincent Emodi & Taha Chaiechi & ABM Rabiul Alam Beg, 2018. "The impact of climate change on electricity demand in Australia," Energy & Environment, , vol. 29(7), pages 1263-1297, November.
    4. Mohammad Jaforullah & Alan King, 2015. "is New Zealand's economy vulnerable to world oil market shocks?," Working Papers 1503, University of Otago, Department of Economics, revised Mar 2015.
    5. Yongliang Zhang & Md. Qamruzzaman & Salma Karim & Ishrat Jahan, 2021. "Nexus between Economic Policy Uncertainty and Renewable Energy Consumption in BRIC Nations: The Mediating Role of Foreign Direct Investment and Financial Development," Energies, MDPI, vol. 14(15), pages 1-29, August.
    6. Ahmad, Khalil & Ali, Safdar & Ali, Amjad, 2018. "Trade Revenue Implications of Trade Liberalization in Pakistan," MPRA Paper 87529, University Library of Munich, Germany.
    7. Chowdhury, Khorshed, 2012. "Modelling the dynamics, structural breaks and the determinants of the real exchange rate of Australia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 343-358.
    8. Troster, Victor & Shahbaz, Muhammad & Uddin, Gazi Salah, 2018. "Renewable energy, oil prices, and economic activity: A Granger-causality in quantiles analysis," Energy Economics, Elsevier, vol. 70(C), pages 440-452.
    9. Kocaarslan, Baris & Soytas, Mehmet Ali & Soytas, Ugur, 2020. "The asymmetric impact of oil prices, interest rates and oil price uncertainty on unemployment in the US," Energy Economics, Elsevier, vol. 86(C).
    10. Stefano Mainardi, 2018. "Fishing vessel efficiency, skipper skills and hake pricetransmission in a small island economy," Review of Agricultural, Food and Environmental Studies, INRA Department of Economics, vol. 99(3-4), pages 215-251.
    11. Lee, Chi-Chuan & Lee, Chien-Chiang & Li, Yong-Yi, 2021. "Oil price shocks, geopolitical risks, and green bond market dynamics," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    12. Raza, Syed Ali & Shahbaz, Muhammad & Amir-ud-Din, Rafi & Sbia, Rashid & Shah, Nida, 2018. "Testing for wavelet based time-frequency relationship between oil prices and US economic activity," Energy, Elsevier, vol. 154(C), pages 571-580.
    13. Garg, Reetika & Dua, Pami, 2014. "Foreign Portfolio Investment Flows to India: Determinants and Analysis," World Development, Elsevier, vol. 59(C), pages 16-28.
    14. Singh, Tarlok, 2008. "Testing the Saving-Investment correlations in India: An evidence from single-equation and system estimators," Economic Modelling, Elsevier, vol. 25(5), pages 1064-1079, September.
    15. Zhang, Han & Zhao, Qing & Kuuluvainen, Jari & Wang, Changhai & Li, Shiping, 2015. "Determinants of China's lumber import: A bounds test for cointegration with monthly data," Journal of Forest Economics, Elsevier, vol. 21(4), pages 269-282.
    16. Faris Nasif Alshubiri & Omar Ikbal Tawfik & Syed Ahsan Jamil, 2020. "Impact of petroleum and non-petroleum indices on financial development in Oman," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 6(1), pages 1-22, December.
    17. Pieters, Gina & Vivanco, Sofia, 2017. "Financial regulations and price inconsistencies across Bitcoin markets," Information Economics and Policy, Elsevier, vol. 39(C), pages 1-14.
    18. Ansgar Belke & Robert Czudaj, 2010. "Is Euro Area Money Demand (Still) Stable? Cointegrated VAR Versus Single Equation Techniques," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot, Berlin, vol. 56(4), pages 285-315.
    19. Caner Demir, 2019. "Macroeconomic Determinants of Stock Market Fluctuations: The Case of BIST-100," Economies, MDPI, vol. 7(1), pages 1-14, February.
    20. Pär Österholm, 2005. "The Taylor Rule: A Spurious Regression?," Bulletin of Economic Research, Wiley Blackwell, vol. 57(3), pages 217-247, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jecomi:v:6:y:2018:i:1:p:16-:d:135175. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.