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Retrospecting on resource abundance in leading oil-producing African countries: how valid is the environmental Kuznets curve (EKC) hypothesis in a sectoral composition framework?

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Abstract

Policymakers and authorities in Africa are often concerned about economic growth and stability owing to the long history of socioeconomic problems that have bedeviled the continent for years. However, increasing environmental degradation challenges in recent times beckons for adequate attention considering Africa’s vulnerability to climate change and environmental disasters. Thus, the current study examines the illustrious environmental Kuznets curve (EKC) hypothesis in a sectoral composition framework of fossil resources abundance among leading oil-producing African economies, including Algeria, Nigeria, Angola, and Egypt, using a combination of quantile regression (QR) approach and dynamic ordinary least square (DOLS) for data between 1995 and 2016. Based on the empirical results from the study, three main factors significantly increase environmental pollution through CO2 emissions among the countries, namely: fossil energy consumption, income levels, and the shares of the manufacturing sector in the total gross domestic product (GDP). While income growth exacerbates pollution, the negative impacts of the income square were only significant at the lower and mid quantiles of the understudied periods in the QR estimates. Thus, the EKC hypothesis was not convincingly upheld for the countries as its validity demonstrates significant quantile effects. Furthermore, the tripartite causality nexus among real income, resource rent, and share of the service sector in GDP, which is unobserved in the share of the manufacturing sector, reflect the infamous Dutch disease argument among the resource-dependent countries. Hence, to promote environmental sustainability and address resource dependency toward the actualization of SDGs (1, 8, 12, and 13), the study recommends energy portfolios diversification alongside economic diversification.

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Source: Gokee (2016)

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Data availability

The data for this present study are sourced from the database of the World Development Indicators (WDI 2020). Available at: https://data.worldbank.org.

References

  • Adedoyin FF, Ozturk I, Agboola MO, Agboola PO, Bekun FV (2021) The implications of renewable and non-renewable energy generating in Sub-Saharan Africa: the role of economic policy uncertainties. Energy Policy 150:112115

    Google Scholar 

  • Adebayo TS, & Rjoub H (2021) A new perspective into the impact of renewable and nonrenewable energy consumption on environmental degradation in Argentina: a time–frequency analysis. Environ Sci Pollut Res 1–17

  • Adusah-Karikari A (2015) Black gold in Ghana: changing livelihoods for women in communities affected by oil production. The Extractive Industries and Society 2(1):24–32

    Google Scholar 

  • African Development Report, AfDB (2007) Africa’s natural resources: the paradox of plenty. Oxford University Press Inc., New York. Available at: https://www.afdb.org

  • AfDB, OECD, & UNDP (2017) African economic outlook: global value chains and Africa’s industrialization. Abidjan: African Development Bank. http://www.africaneconomicoutlook.org. Accessed 28 Jan 2021.

  • Alao, A. (2007). Natural resources and conflict in Africa: the tragedy of endowment (Vol. 29). University Rochester Press.

  • Aliyu AK, Modu B, Tan CW (2018) A review of renewable energy development in Africa: a focus in South Africa, Egypt and Nigeria. Renew Sustain Energy Rev 81:2502–2518

    Google Scholar 

  • Alola AA, Ozturk I (2021) Mirroring risk to investment within the EKC hypothesis in the United States. J Environ Manag 293:112890

    Google Scholar 

  • Alola AA, Adebayo S, Onifade ST (2021) Examining the dynamics of ecological footprint in China with spectral Granger causality and quantile-on-quantile approaches. Int J Sust Dev World. https://doi.org/10.1080/13504509.2021.1990158

    Article  Google Scholar 

  • Anser, M. K., Adeleye, B. N., Tabash, M. I., & Tiwari, A. K. (2021). Services trade–ICT–tourism nexus in selected Asian countries: new evidence from panel data techniques. Current Issues in Tourism, 1–16.

  • Anyanwu JC, Erhijakpor AE (2014) Does oil wealth affect democracy in Africa? Afr Dev Rev 26(1):15–37. https://doi.org/10.1111/1467-8268.12061

    Article  Google Scholar 

  • Apergis N, Payne JE (2009) CO2 emissions, energy usage, and output in Central America. Energy Policy 37(8):3282–3286

    Google Scholar 

  • Apergis N, Ozturk I (2015) Testing environmental Kuznets curve hypothesis in Asian countries. Ecol Ind 52:16–22

    Google Scholar 

  • Apergis N (2016) Environmental Kuznets curves: new evidence on both panel and country-level CO2 emissions. Energy Economics 54:263–271

    Google Scholar 

  • Asongu SA, Uduji JI, Okolo-Obasi EN (2020) Fighting African capital flight: trajectories, dynamics, and tendencies. Financial Innovation 6(1):1–21

    Google Scholar 

  • Ayittey G. (Ed.). (2016) Africa unchained: the blueprint for Africa’s future. Springer.

  • Baarsch F, Granadillos JR, Hare W, Knaus M, Krapp M, Schaeffer M, Lotze-Campen H (2020) The impact of climate change on incomes and convergence in Africa. World Development 126:104699

    Google Scholar 

  • Baloch MA, Mahmood N, Zhang JW (2019) Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries. Sci Total Environ 678:632–638

    Google Scholar 

  • Balsalobre-Lorente D, Driha OM, Leitão NC, Murshed M (2021) The carbon dioxide neutralizing effect of energy innovation on international tourism in EU-5 countries under the prism of the EKC hypothesis. J Environ Manag 298:113513

    CAS  Google Scholar 

  • Bekun FV, Gyamfi BA, Onifade ST, & Agboola MO (2021) Beyond the environmental Kuznets Curve in E7 economies: accounting for the combined impacts of institutional quality and renewables. J Clean Prod 127924

  • Bibi F, Jamil M (2021) Testing environment Kuznets curve (EKC) hypothesis in different regions. Environ Sci Pollut Res 28(11):13581–13594

    CAS  Google Scholar 

  • British Petroleum BP (2020) Statistical review of world energy June 2020. Available at: http://www.bp.com/statisticalreview

  • Chudik A, Mohaddes K, Pesaran MH, & Raissi M (2016) Long-run effects in large heterogeneous panel data models with cross-sectionally correlated errors. Emerald Group Publishing Limited

  • Corden WM (1984) Booming sector and Dutch disease economics: survey and consolidation. Oxf Econ Pap 36(3):359–380. https://doi.org/10.1093/oxfordjournals.oep.a041643

    Article  Google Scholar 

  • Demissew Beyene S, Kotosz B (2020) Testing the environmental Kuznets curve hypothesis: an empirical study for East African countries. Int J Environ Stud 77(4):636–654

    Google Scholar 

  • Dogan E, Ozturk I (2017) The influence of renewable and non-renewable energy consumption and real income on CO2 emissions in the USA: evidence from structural break tests. Environ Sci Pollut Res 24(11):10846–10854

    Google Scholar 

  • Dogan E, Inglesi-Lotz R (2020) The impact of economic structure to the environmental Kuznets curve (EKC) hypothesis: evidence from European countries. Environ Sci Pollut Res 27(11):12717–12724

    Google Scholar 

  • Dumitrescu E, Hurlin C (2012) Testing for granger non-causality in heterogeneous panels. Econ Model 29(4):1450–1460. https://doi.org/10.1016/j.econmod.2012.02.014

    Article  Google Scholar 

  • Effiong J (2010) Oil and gas industry in Nigeria: the paradox of the black gold. An international perspective. Emerald Group Publishing Limited, In Environment and social justice

    Google Scholar 

  • Frankel JA (2010) The natural resource curse: a survey (No. w15836). National Bureau of Economic Research

  • Fuinhas JA, Marques AC, Koengkan M (2017) Are renewable energy policies upsetting carbon dioxide emissions? The case of Latin America countries. Environ Sci Pollut Res 24(17):15044–15054

    CAS  Google Scholar 

  • El Hédi Arouri M, Youssef AB, M’Henni H, Rault C (2011) Empirical analysis of the EKC hypothesis for sulfur dioxide emissions in selected Middle East and North African countries. The Journal of Energy and Development 37(1/2):207–226

    Google Scholar 

  • Gokee CD (2016) Assembling the village in medieval Bambuk: an archaeology of interaction at Diouboye, Senegal. Equinox Publishing Limited. Available at: https://www.equinoxpub.com/home/village-life-land-bambuk-iron-age-economy-diouboye-senegal-cameron-d-gokee/

  • Graham E, Ovadia JS (2019) Oil exploration and production in Sub-Saharan Africa, 1990-present: trends and developments. The Extractive Industries and Society 6(2):593–609

    Google Scholar 

  • Gritsenko D, Efimova E (2020) Is there Arctic resource curse? Evidence from the Russian Arctic regions. Resources Policy 65:101547

    Google Scholar 

  • Gyamfi BA, Onifade ST, Nwani C, & Bekun FV (2021) Accounting for the combined impacts of natural resources rent, income level, and energy consumption on environmental quality of G7 economies: a panel quantile regression approach. Environ Sci Pollut Res 1–13

  • Gyamfi BA, Bekun FV, Balsalobre-Lorente D, Onifade ST, & Ampomah AB (2022) Beyond the environmental Kuznets curve: do combined impacts of air transport and rail transport matter for environmental sustainability amidst energy use in E7 economies?. Environ Dev Sustain 1–19https://doi.org/10.1007/s10668-021-01944-6

  • Henri PAO (2019) Natural resources curse: a reality in Africa. Resources Policy 63:101406

    Google Scholar 

  • Herslund LB, Jalayer F, Jean-Baptiste N, Jørgensen G, Kabisch S, Kombe W, ... & Vedeld T (2016) A multi-dimensional assessment of urban vulnerability to climate change in Sub-Saharan Africa. Nat Hazards 82(2):149–172

  • Hill JNC (2012) Nigeria since independence. Forever fragile. Palgrave Macmillan, London. https://doi.org/10.1057/9781137292049

  • Hussain J, Khan A, Zhou K (2020) The impact of natural resource depletion on energy use and CO2 emission in belt & road initiative countries: a cross-country analysis. Energy 199:117409

    CAS  Google Scholar 

  • International Energy Agency, IEA. (2019). Africa Energy Outlook 2019 International Energy Agency, Paris (2019) https://www.iea.org/reports/africa-energy-outlook-2019

  • Im KS, Pesaran MH, Shin Y (2003) Testing for unit roots in heterogeneous panels. Journal of Econometrics 115(1):53–74

    Google Scholar 

  • IPCC (2019) Summary for policymakers. In: Shukla PR, Skea J, Calvo Buendia E, Masson-Delmotte V, Pörtner H-O, Roberts DC, Zhai P, Slade R, Connors S, van Diemen R, Ferrat M, Haughey E, Luz S, Neogi S, Pathak M, Petzold J, Portugal Pereira J,Vyas P, Huntley E, Kissick K, Belkacemi M, Malley J (eds) Climate change and land: an IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems. http://www.ipcc.ch/

  • IPCC, 2021 Summary for policymakers. In: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Masson-Delmotte, V., P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M. I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T. K. Maycock, T. Waterfield, O. Yelekçi, R. Yu and B. Zhou (eds.)]. Cambridge University Press. In Press.

  • Jakob M, Hilaire J (2015) Unburnable fossil-fuel reserves. Nature 517(7533):150–151

    CAS  Google Scholar 

  • Khan, Z. A., Koondhar, M. A., Khan, I., Ali, U., & Tianjun, L. (2021). Dynamic linkage between industrialization, energy consumption, carbon emission, and agricultural products export of Pakistan: an ARDL approach. Environ Sci Pollut Res 1–13.

  • Koenker R (2004) Quantile regression for longitudinal data. J Multivar Anal 91(1):74–89

    Google Scholar 

  • Koenker R, Bassett G (1978) Quantile regression. Econometrica 46:33–50

  • Koengkan M (2018) The decline of environmental degradation by renewable energy consumption in the MERCOSUR countries: an approach with ARDL modeling. Environ Syst Decisions 38(3):415–425

    Google Scholar 

  • Koondhar MA, Udemba EN, Cheng Y, Khan ZA, Koondhar MA, Batool M, Kong R (2021) Asymmetric causality among carbon emission from agriculture, energy consumption, fertilizer, and cereal food production–a nonlinear analysis for Pakistan. Sustainable Energy Technol Assess 45:101099. https://doi.org/10.1016/j.seta.2021.101099

    Article  Google Scholar 

  • Kuznets S (1955) Economic growth and income inequality. Am Econ Rev 45(1):1–28

    Google Scholar 

  • Koc S, Bulus GC (2020) Testing validity of the EKC hypothesis in South Korea: role of renewable energy and trade openness. Environ Sci Pollut Res 27(23):29043–29054

    CAS  Google Scholar 

  • Krugman P (1987) The narrow moving band, the Dutch disease, and the competitive consequences of Mrs. Thatcher: notes on trade in the presence of dynamic scale economies. J Dev Econ 27(1–2):41–55. Available at: https://doi.org/10.1016/0304-3878(87)90005-8.

  • Kula N, Haines A, Fryatt R (2013) Reducing vulnerability to climate change in sub-Saharan Africa: the need for better evidence. PLoS medicine 10(1):e1001374

    Google Scholar 

  • Kunawotor ME, Bokpin GA, & Barnor C (2020) Drivers of income inequality in Africa: does institutional quality matter? African Development Review

  • Manzano O, Gutiérrez JD (2019) The subnational resource curse: theory and evidence. The Extractive Industries and Society 6(2):261–266

    Google Scholar 

  • More, C. (2009). Black Gold: Britain and oil in the twentieth century. Bloomsbury Publishing

  • Nwaka ID, Nwogu MU, Uma KE, Ike GN (2020) Agricultural production and CO2 emissions from two sources in the ECOWAS region: new insights from quantile regression and decomposition analysis. Sci Total Environ 748:141329

    CAS  Google Scholar 

  • Ologunde IA, Kapingura FM, Sibanda K (2020) Sustainable development and crude oil revenue: a case of selected crude oil-producing African countries. Int J Environ Res Public Health 17(18):6799

    Google Scholar 

  • Onifade ST, Ay A, Asongu S, Bekun FV (2020) Revisiting the trade and unemployment nexus: empirical evidence from the Nigerian economy. Journal of Public Affairs 20(3):e2053

    Google Scholar 

  • Onifade ST, Çevik S, Erdoğan S, Asongu S, Bekun FV (2020b) An empirical retrospect of the impacts of government expenditures on economic growth: new evidence from the Nigerian economy. Journal of Economic Structures 9(1):1–13

    Google Scholar 

  • Onifade ST, Erdoğan S, Alagöz M, Bekun FV (2021a). Renewables as a pathway to environmental sustainability targets in the era of trade liberalization: empirical evidence from Turkey and the Caspian countries. Environ Sci Pollut Res 1–12.

  • Onifade ST, Alola AA, Erdoğan S, Acet H (2021b) Environmental aspect of energy transition and urbanization in the OPEC member states. Environ Sci Pollut Res 28(14):17158–17169

    Google Scholar 

  • Onifade ST, Gyamfi BA, Ilham H, Bekun FV (2021c) Re-examining the roles of economic globalization on environmental degradation in the E7 economies: are human capital, urbanization, and total natural resources essential components? Resour Policy. https://doi.org/10.1016/j.resourpol.2021.102435

    Article  Google Scholar 

  • Ozturk I, Al-Mulali U, Saboori B (2016) Investigating the environmental Kuznets curve hypothesis: the role of tourism and ecological footprint. Environ Sci Pollut Res 23(2):1916–1928

    Google Scholar 

  • Pata UK, Aydin M (2020) Testing the EKC hypothesis for the top six hydropower energy-consuming countries: evidence from Fourier Bootstrap ARDL procedure. J Clean Prod 264:121699

    Google Scholar 

  • Pesaran MH (2007) A simple panel unit root test in the presence of cross section dependence. J Appl Economet 22(2):265–312

    Google Scholar 

  • Pesaran MH (2015) Testing weak cross-sectional dependence in large panels. Econom Rev 34(6–10):1089–1117

    Google Scholar 

  • Price WR, Ronck CL (2018) Gushing about black gold: oil and natural gas tourism in Texas. J Herit Tour 13(5):440–454

    Google Scholar 

  • Powell D (2016) Quantile regression with nonadditive fixed effects. Quantile Treat Effects 1–28

  • Sadik-Zada ER, Loewenstein W (2020) Drivers of CO2-emissions in fossil fuel abundant settings:(pooled) mean group and nonparametric panel analyses. Energies 13(15):3956

    CAS  Google Scholar 

  • Sarkodie SA (2018) The invisible hand and EKC hypothesis: what are the drivers of environmental degradation and pollution in Africa? Environ Sci Pollut Res 25(22):21993–22022

    Google Scholar 

  • Sarkodie SA, Ozturk I (2020) Investigating the environmental Kuznets curve hypothesis in Kenya: a multivariate analysis. Renew Sustain Energy Rev 117:109481

    Google Scholar 

  • Sandbakken C (2006) The limits to democracy posed by oil rentier states: The cases of Algeria. Nigeria and Libya Democratisation 13(1):135–152

    Google Scholar 

  • Shahbaz M, Solarin SA, Sbia R, Bibi S (2015) Does energy intensity contribute to CO2 emissions? A trivariate analysis in selected African countries. Ecol Ind 50:215–224

    Google Scholar 

  • Shahbaz M, Solarin SA, Ozturk I (2016) Environmental Kuznets curve hypothesis and the role of globalization in selected African countries. Ecol Ind 67:623–636

    Google Scholar 

  • Shahbaz M, Sharma R, Sinha A, Jiao Z (2021) Analyzing nonlinear impact of economic growth drivers on CO2 emissions: designing an SDG framework for India. Energy Policy 148:111965

    CAS  Google Scholar 

  • Taiwo S, Alagöz M, Erdoğan S (2020) Inflation, oil revenue, and monetary policy mix in an oil-dependent economy: empirical insights from the case of Nigeria. Int J Bus 7(2):96–109

    Google Scholar 

  • Tenaw D, Beyene AD (2021) Environmental sustainability and economic development in sub-Saharan Africa: a modified EKC hypothesis. Renew Sustain Energy Rev 143:110897

    Google Scholar 

  • Tyburski M, Egan P, Schneider A (2020) Deep determinants of corruption? A subnational analysis of resource curse dynamics in American states. Polit Res Q 73(1):111–125

    Google Scholar 

  • Ugochukwu CN, Ertel J (2008) Negative impacts of oil exploration on biodiversity management in the Niger De area of Nigeria. Impact Assessment and Project Appraisal 26(2):139–147

    Google Scholar 

  • United Nation Environment Program, UNEP (2017). Atlas of Africa energy resources. United Nations Environment Programme. PO Box 30552, Nairobi 00100, Kenya

  • Vahabi M (2018) The resource curse literature as seen through the appropriability lens: a critical survey. Public Choice 175(3):393–428

    Google Scholar 

  • Westerlund J (2007) Testing for error correction in panel data. Oxford Bull Econ Stat 69:709–748

    Google Scholar 

  • World Development Indictors (WDI) (2020) https://data.worldbank.org/. Accessed April 2021

  • Yates D (2006) The scramble for African oil. South African Journal of International Affairs 13(2):11–31

    Google Scholar 

  • Zhang Z, Zeng Y, Zheng N, Luo L, Xiao H, Xiao H (2020) Fossil fuel-related emissions were the major source of NH3 pollution in urban cities of northern China in the autumn of 2017. Environ Pollut 256:113428

    CAS  Google Scholar 

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Acknowledgements

The author’s gratitude is extended to Assoc. Prof Savaş Erdoğan, Prof Dr. Mehmet Alagöz, and Prof Bakı Yılmaz of Selçuk University for the constructive comments/criticism toward improving the current draft of this study. The author’s appreciation is also extended to Dr. Cameron Gokee of Appalachian State University, North Carolina, USA, for the support provided concerning Figure 1.

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The author (Stephen Taiwo Onifade) was responsible for the conceptual construction of the study’s idea and handling of the sections in the study, including data gathering, preliminary analysis, simulation, and interpretation of results.

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Figure 3

Fig. 3
figure 3

Source: author’s computation using data from BP (2020)

The share of Africa’s total proved oil and gas reserves (at the end of 2019);

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Onifade, S.T. Retrospecting on resource abundance in leading oil-producing African countries: how valid is the environmental Kuznets curve (EKC) hypothesis in a sectoral composition framework?. Environ Sci Pollut Res 29, 52761–52774 (2022). https://doi.org/10.1007/s11356-022-19575-3

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