Asymmetric effect of crude oil price on the quality of environment in Nigeria: An application of non-linear ARDL

Document Type : Research Paper

Authors

1 Department of Economics and Development Studies, Federal University Dutse, Jigawa State, Nigeria

2 Department of Economics, Borno State University, Borno State, Nigeria

3 Department of Economics, Yusuf Maitama Sule University Kano, Kano State, Nigeria

10.22124/cjes.2023.6925

Abstract

The study aimed at examining the asymmetric effect of crude oil price on the quality of environment in Nigeria. The study utilizes the time series form of annual data from 1970 to 2019 and applies the model of NARDL (Non-Linear ARDL) to determine the short-run and long-run asymmetries. The results revealed that positive shocks in crude oil price reduces the amount of carbon emissions thereby enhancing the quality of the environment in the long run, while negative shock increases the amount of carbon emission and hence deteriorate the quality of the environment. In the short the positive shock increases the amount of carbon emissions while the negative shocks reduces the carbon emissions and also improve the quality of the environment. Nonetheless, the magnitude and sign of positive as well as negative shocks of crude oil price are essential in environmental management policies. Henceforth, on the basis of the sign as well as magnitude, the study recommends for more subsidy on clean energy as well as formulation of a favorable form of policies for the implementation of renewable form of energy such as solar by residential consumers and industries particularly during the period of low crude oil price.

Keywords


Acheampong, AO & Boateng, EB 2019, Modelling carbon emission intensity: Application of artificial neural network. Journal of Cleaner Production, 225: 833-856, https://doi.org/10.1016/j.jclepro.2019.03.352.
Adam, IM, Jakada, AH, Ahmad, AU, Danmaraya, IA, Marmara, AD & Abubakar, AA 2021, Financial instability and the state of environmental quality in Nigeria. International Journal of Business, Economics and Management, 8: 318-331.
Agbanike, TF, Nwani, C, Uwazie, UI, Anochiwa, LI, Onoja, TGC & Ogbonnaya, IO 2019, Oil price, energy consumption and carbon dioxide (CO2) emissions: insight into sustainability challenges in Venezuela. Latin American Economic Review, 28: 1-26, https://doi.org/10.1186/s40503-019-0070-8.
Ahmad, AU, Abdallah, A, Sulong, Z & Abdullahi, AT 2015c, An autoregressive distributive lag for the analysis of macroeconomic variables on stock market returns in Nigeria. Advances in Environmental Biology, 481-502.
Ahmad, AU, Abdullah, A, Abdullahi, AT & Muhammad, UAA 2015a, Stock market returns and macroeconomic variables in Nigeria: Testing for dynamic linkages with a structural break. Scholars Journal of Economics, Business and Management, 2: 816-28.
Ahmad, AU, Abdullah, A, Sulong, Z & Abdullahi, AT 2015b, Causal relationship between stock market returns and macroeconomic variables in Nigeria. IOSR Journal of Humanities and Social Science, 20: 74-96.
Ahmad, AU, Ismail, S, Dayyabu, S, Adnan, AA, Farouq, IS, Jakada, AH & Mustapha, UA 2020, Non-linear causal link between central bank intervention and exchange rate volatility in Nigeria. Global Journal of Management and Business Research, 20: 1-14.
Ahmed, A, Salah, G & Sohag, K 2020, Biomass and Bioenergy Biomass energy, technological progress and the environmental Kuznets curve : Evidence from selected European countries. Biomass and Bioenergy, 90: 202-208, https://doi.org/10.1016/j.biombioe.2016.04.004.
Alkhawaldeh, BY, Mahmood, S & Jakada, AH 2020, An empirical assessment of the effect of taxes and interest rate on economic growth in Jordan: An application of dynamic autoregressive-distributed lag. Research in World Economy, 11: 1-7.
Alshehry, AS & Belloumi, M 2015, Energy consumption, carbon dioxide emissions and economic growth: The case of Saudi Arabia. Renewable and Sustainable Energy Reviews, 41: 237-247, https://doi.org/10.1016/j.rser.2014.08.004
Apergis, N & Gangopadhyay, P 2020, The asymmetric relationships between pollution, energy use and oil prices in Vietnam: Some behavioral implications for energy policy-making. Energy Policy, 140: 111430, https://doi.org/10.1016/j.enpol.2020.111430.
Bader, Y & Ganguli, S 2019, Analysis of the association between economic growth, environmental quality and health standards in the Gulf Cooperation Council during 1980-2012. Management of Environmental Quality: An International Journal, 30: 1050-1071, https://doi.org/10.1108/MEQ-03-2018-0061.
Bahmani Oskooee, M & Hasanzade, M 2020, Asymmetric link between u.s. tariff policy and income distribution: evidence from state level data. Open Economies Review, 31: 821-857, https://doi.org/10.1007/s11079-020-09584-5.
Balaguer, J & Cantavella, M 2016, Estimating the environmental Kuznets curve for Spain by considering fuel oil prices (1874-2011). Ecological Indicators, 60: 853-859, https://doi.org/10.1016/j.ecolind.2015.08.006.
Boufateh, T 2019, The environmental Kuznets curve by considering asymmetric oil price shocks: evidence from the top two. Environmental Science and Pollution Research, 26: 706-720, https://doi.org/10.1007/s11356-018-3641-3.
Broock, WA, Scheinkman, JA, Dechert, WD & LeBaron, B 1996, A test for independence based on the correlation dimension. Econometric Reviews 15:197-235, DOI: 10.1080/07474939608800353.
Chishti, MZ, Ullah, S, Ozturk, I & Usman, A 2020, Examining the asymmetric effects of globalization and tourism on pollution emissions in South Asia. Environmental Science and Pollution Research, 27:  27721-27737, https://doi.org/10.1007/s11356-020-09057-9.
Cosmas, NC, Chitedze, I & Mourad, KA 2019, An econometric analysis of the macroeconomic determinants of carbon dioxide emissions in Nigeria. Science of the Total Environment, 675: 313-324, https://doi.org/10.1016/j.scitotenv.2019.04.188.
Dabachi, UM, Mahmood, S, Ahmad, AU, Ismail, S, Farouq, IS, Jakada, AH & Kabiru, K 2020, Energy consumption, energy price, energy intensity environmental degradation, and economic growth nexus in African OPEC countries: evidence from simultaneous equations models. Journal of Environmental Treatment Techniques, 8: 403-409.
Danmaraya, IA & Hassan, S 2016, Electricity consumption and manufacturing sector productivity in Nigeria: An autoregressive distributed lag-bounds testing approach. International Journal of Energy Economics and Policy, 6: 195-201.
Danmaraya, IA, Jakada, AH, Mahmood, S, Ibrahim, BA & Ali, AU 2021, Heterogeneous effect of oil production on environmental degradation: panel evidence from OPEC member countries. International Journal of Energy Sector Management, 16: 774-793.
Dodder, RS, Kaplan, PO, Elobeid, A, Tokgoz, S, Secchi, S & Kurkalova, LA 2015, Impact of energy prices and cellulosic biomass supply on agriculture, energy, and the environment: An integrated modeling approach. Energy Economics, 51: 77-87, https://doi.org/10.1016/j.eneco.2015.06.008.
Dong, F, Long, R, Bian, Z, Xu, X, Yu, B & Wang, Y 2017, Applying a Ruggiero three-stage super-efficiency DEA model to gauge regional carbon emission efficiency: evidence from China. Natural Hazards, 87: 1453-1468, https://doi.org/10.1007/s11069-017-2826-2
El Anshasy, AA & Bradley, MD 2012, Oil prices and the fiscal policy response in oil-exporting countries. Journal of Policy Modeling, 34: 605-620, https://doi.org/10.1016/j.jpolmod.2011.08.021
Eleri, EO, Onuvae, P & Ugwu, O 2013, Low-carbon energy development in Nigeria. International Institute for Environment and Development, 1: 2-24, Retrieved from http://pubs.iied.org/pdfs/G03555.pdf.
Elliott, G, Rothenberg, TJ & Stock, JH 1996, Efficient tests for an autoregressive unit root. Econometrica, 64:813-36, DOI: 10.2307/2171846.
Hamdi, H & Sbia, R 2013, Dynamic relationships between oil revenues, government spending and economic growth in an oil-dependent economy. Economic Modelling, 35: 118-125, https://doi.org/10.1016/ j.econmod.2013.06.043
Hammoudeh, S, Nguyen, DK & Sousa, RM 2014, Energy prices and CO2 emission allowance prices: A quantile regression approach. Energy Policy, 70: 201-206, https://doi.org/10.1016/j.enpol.2014.03.026.
Hassan, A, Babafemi, OD & Jakada, AH 2016, Financial market development and economic growth in Nigeria: Evidence from VECM approach. International Journal of Applied, 4.
Jakada, AH & Mahmood, S 2020, An asymmetric effect of economic growth, foreign direct investment and financial development on the quality of environment in Nigeria. The Journal of Management Theory and Practice (JMTP), 1: 5-13.
Jakada, AH, Mahmood, S, Ahmad, AU & Bambale, SA 2020, Heterogeneous moderating influence of economic growth on financial development and environmental quality in Africa. Journal of Critical Reviews, 7: 127-133.
Jakada, AH, Mahmood, S, Ahmad, AU, Farouq, IS & Mustapha, UA 2020, Financial development and the quality of the environment in Nigeria: An application of non-linear ARLD approach. Research in World Economy, 11: 78-92.
Jakada, AH, Mahmood, S, Ahmad, AU, Faruq, IS & Mustapha, UA 2020, The effect of oil price on the quality of environment in Nigerian. International Journal of Scientific and Technology Research, 9: 6340-6347.
Jakada, AH, Mahmood, S, Ahmad, AU, Faruq, IS & Mustapha, UA 2020, The effect of oil price on the quality of environment in Nigerian. International Journal of Scientific & Technology Research, 9: 1-8
Jakada, AH, Mahmood, S, Ahmad, AU, Muhammad, IG Danmaraya, IA & Yahaya, NS 2022, Driving forces of CO2 emissions based on impulse response function and variance decomposition: A case of the Main African countries. Environmental Health Engineering and Management Journal, 9.
Jakada, AH, Mahmood, S, Haron, NF & Danmaraya, IA 2022, Revisiting the environmental Kuznet curve in Africa: The interactive role of financial development in sustainable environment. Journal of Sustainability Science and Management, 17: 1-20.
Jakada, AH, Mahmood, S, Umar Ahmad, A, Sani, AI & Turawa Yola, A 2022, The effect of economic factors on the quality of the environment in African countries: An application of panel quantile regressions. Environmental Health Engineering and Management Journal, 9: 12.
Kapetanios, G, Shin, Y & Snell, A 2003, Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics, 112: 359-379, https://doi.org/10.1016/S0304-4076(02)00202-6.
Khan, S & Majeed, MT 2019, www.econstor.eu. Pakistan Journal of Commerce and Social Sciences (PJCSS), 13: 868-891.
Li, K, Fang, L & He, L 2020, The impact of energy price on CO2 emissions in China: A spatial econometric analysis. Science of the Total Environment, 706: 135942, https://doi.org/10.1016/j.scitotenv.2019.135942
Li, W, Sun, W, Li, G, Jin, B, Wu, W, Cui, P & Zhao, G 2018, Transmission mechanism between energy prices and carbon emissions using geographically weighted regression. Energy Policy, 115: 434–442. https://doi.org/10.1016/j.enpol.2018.01.005
Mahmood, S, Awang, Z, Kmeil, FAR & Jakada, AH 2021, Participation of local youth workers in construction industry and strategies for improvement: a study in Kelantan and Terengganu. International Journal of Academic Research in Business and Social Sciences, 11: 394-401.
Maji, IK, Habibullah, MS, Saari, MY & Abdul Rahim, AS 2017, The nexus between energy price changes and environmental quality in Malaysia. Energy Sources, Part B: Economics, Planning and Policy, 12: 903-909. https://doi.org/10.1080/15567249.2017.1323052.
Malik, MY, Latif, K, Khan, Z, Butt, HD, Hussain, M & Nadeem, MA 2020, Symmetric and asymmetric impact of oil price, FDI and economic growth on carbon emission in Pakistan: Evidence from ARDL and non-linear ARDL approach. Science of the Total Environment, 726: 138421. https://doi.org/10.1016/ j.scitotenv.2020.138421.
Melnik, IV, Vasileva, EG & Obukhova, OV 2021, Pollution of the Volga River basin with petroleum products in the Astrakhan region, Russia. Caspian Journal of Environmental Sciences, 19: 963-972.
Nailevich, SL, Ildarovna, BE, Andreevna, FR, Makar, SV & Mirgalimovna, SS 2020, Climate policy of oil and gas companies in the Russian Federation, Caspian Journal of Environmental Sciences, 18: 447-458
Nusair, SA 2016, The effects of oil price shocks on the economies of the Gulf Co-operation Council countries: Nonlinear analysis. Energy Policy, 91: 256-267, https://doi.org/10.1016/j.enpol.2016.01.013.
Nwani, C 2017, Causal relationship between crude oil price, energy consumption and carbon dioxide (CO2) emissions in Ecuador. OPEC Energy Review, 41: 201-225, https://doi.org/10.1111/opec.12102.
Pesaran, MH, Shin, Y & Smith, RJ 2001, Bounds testing approaches to analysis of long run relationships. Journal of Applied Econometrics, 16: 289-326.
Rasheed, R, Meo, MS, Awan, RU & Ahmed, F 2019, The impact of tourism on deficit in balance of payments of Pakistan: an application of bounds testing approach to cointegration. Asia Pacific Journal of Tourism Research, 24: 325-332, https://doi.org/10.1080/10941665.2018.1564345.
Saboori, B, Al Mulali, U, Bin Baba, M & Mohammed, AH 2016, Oil-Induced environmental Kuznets curve in organization of petroleum exporting countries (OPEC). International Journal of Green Energy, 13: 408-416, https://doi.org/10.1080/15435075.2014.961468.
Saidu, BM, Ahmed, BA & Jakada, AH 2018, The determinants of long run economic growth in Nigeria. Asian Economic and Financial Review, 8: 1-8.
Sehrawat, M 2020, Modelling the nexus between human capital, income inequality, and energy demand in India: new evidences from asymmetric and non-linear analysis. Environmental Science and Pollution Research, https://doi.org/10.1007/s11356-020-10733-z
Shin, Y, Yu, B & Greenwood Nimmo, M 2014, Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework. SSRN Electronic Journal, 1-61, https://doi.org/10.2139/ssrn.1807745.
Sulaiman, C & Abdul Rahim, AS 2018, Population growth and CO2 emission in Nigeria: A recursive ARDL approach. SAGE Journals, 8: 1-14, https://doi.org/10.1177/2158244018765916.
Sulaiman, C & Abdul Rahim, AS 2020, Can clean biomass energy use lower CO2 emissions in African economies? Empirical evidence from dynamic long-run panel framework. Environmental Science and Pollution Research, (Bildirici 2013), https://doi.org/10.1007/s11356-020-09866-y.
Tamazian, A, Chousa, JP & Vadlamannati, KC 2009, Does higher economic and financial development lead to environmental degradation: Evidence from BRIC countries. Energy Policy, 37: 246-253, https://doi.org/ 10.1016/j.enpol.2008.08.025
Ullah, S, Chishti, MZ & Majeed, MT 2020, The asymmetric effects of oil price changes on environmental pollution: evidence from the top ten carbon emitters. Environmental Science and Pollution Research, 27: 29623-29635, https://doi.org/10.1007/s11356-020-09264-4.
Vasichenko, K, Khan, I & Wang, Z 2020, Symmetric and asymmetric effect of energy consumption and CO2 intensity on environmental quality: using nonlinear and asymmetric approach. Environmental Science and Pollution Research, 27: 32809-32819.
Vlasenko, SS, Sudarikov, SM 2021, Ecological and hydrogeological state of oil and gas bearing areas of the Barents and Kara seas shelf. Caspian Journal of Environmental Sciences, 19: 589-595
Wang, K, Zhu, B, Wang, P & Wei, YM 2016, Examining the links among economic growth, energy consumption, and CO2 emission with linear and nonlinear causality tests. Natural Hazards, 81: 1147-1159, https://doi.org/10.1007/s11069-015-2124-9.
Yang, L, Yao, Y, Zhang, J, Zhang, X & McAlinden, KJ 2016, A CGE analysis of carbon market impact on CO2 emission reduction in China: a technology-led approach. Natural Hazards, 81: 1107-1128, https://doi.org/ 10.1007/s11069-015-2122-y
Zaghdoudi, T 2017, Volume 37, Issue 3 Oil prices, renewable energy, CO2 emissions and economic growth in OECD countries. Economics Bulletin, 37: 1844-1850.
Zhu, B, Han, D, Chevallier, J & Wei, YM 2017, Dynamic multiscale interactions between European carbon and electricity markets during 2005-2016. Energy Policy, 107: 309-322, https://doi.org/10.1016/j.enpol. 2017.04.051.