Abstract
This study examined the nexus between carbon emissions, renewable energy consumption, and the economic growth of West African countries for the period 1990 to 2018. To be able to uncover reliable and valid findings, more robust panel estimation methods were employed for the study. From the heterogeneity and cross-sectional dependence tests, the study’s panels were heterogeneous and cross-sectionally dependent. Also, all the series were non-stationary at levels, but gained stationarity after first difference. Further, the Fisher test and the Westerlund and Edgerton bootstrap test found the variables to be cointegrated in the long run. The CCEMG and the DCCEMG estimators were used to explore the long-run equilibrium relationship amid the series, and from the results of the whole sample, CO2 emissions and renewable energy consumption (REC) had no vital influence on economic growth (GDP) in both estimators. However, the results were a bit different in the sub-panels. Also from the whole sample, control variables urbanization (URB) and population growth (POP) had no material effect on GDP in both estimators. The results were, however, dissimilar in the sub-panels. Finally, the Dumitrescu-Hurlin test was employed to examine the causalities amid the series, and the results were diverse in the various panels. Policy recommendations are further discussed.
Similar content being viewed by others
Abbreviations
- WA:
-
West Africa/West African
- NRE:
-
non-renewable energy
- NREC:
-
non-renewable energy consumption
- RE:
-
renewable energy
- REC:
-
renewable energy consumption
- EC:
-
energy consumption
- ED:
-
environmental degradation
- POP:
-
population
- URB:
-
urbanization
- FDI:
-
foreign direct investments
- FD:
-
financial development
- LI:
-
low-income countries
- LMI:
-
lower-middle-income countries
- GDP:
-
economic growth
- CO2 :
-
carbon emissions
- CCEMG:
-
Common Correlated Effects Mean Group
- DCCEMG:
-
Dynamic Common Correlated Effects Mean Group
- MENA:
-
Middle East and North Africa
- OECD:
-
Organization for Economic Co-operation and Development
- EU:
-
European Union
- US:
-
United States
- UAE:
-
United Arab Emirates
- OVB:
-
omitted variable bias
- BRICS:
-
Brazil, Russia, India, China, and South Africa
- JB:
-
Jacque-Bera
- VIF:
-
variance inflation factor
- WDI:
-
world development indicators
- CLRM:
-
Classical Linear Regression Model
- CLT:
-
Central Limit Theorem
- CD:
-
cross-sectional dependence
- LM:
-
Lagrangian multiplier
- CADF:
-
cross-sectionally augmented Dickey-Fuller
- CIPS:
-
Cross-sectional Im, Pesaran and Shin
- CCE:
-
common correlated effects
- DCCE:
-
dynamic common correlated effects
References
Adebola Solarin S, Al-Mulali U, Ozturk I (2017) Validating the environmental Kuznets curve hypothesis in India and China: the role of hydroelectricity consumption. Renew Sust Energ Rev 80:1578–1587
Ali HS, Law SH, Lin WL, Yusop Z, Chin L, Bare UAA (2018) Financial development and carbon dioxide emissions in Nigeria: evidence from the ARDL bounds approach. GeoJournal:1–15. https://doi.org/10.1007/s10708-018-9880-5
Alper A, Oguz O (2016) The role of renewable energy consumption in economic growth: evidence from asymmetric causality. Renew Sust Energ Rev 60:953–959. https://doi.org/10.1016/j.rser.2016.01.123
Apergis N, Payne JE (2011) The renewable energy consumption-growth nexus in Central America. Appl Energy 88:343–347
Balgati B, Feng Q, Kao C (2012) A Lagrange multiplier test for cross-sectional dependence in a fixed effects panel data model. Cent Pol Res 193. https://surface.syr.edu/cpr/193Accessed 20 Oct 2019
Bárány I, Vu V (2007) Central limit theorems for Gaussian polytopes. Annals of probability. Inst Math Stat 35:1593–1621
Barreto H (2006) Omitted variable bias. Introductory econometrics: using Monte Carlo simulation with Microsoft excel. Cambridge University Press. https://www.cambridge.org/9780521843195. Accessed 15 Oct 2019
Begum RA, Sohag K, Abdullah SMS, Jaafar M (2015) CO2 emissions, energy consumption, economic and population growth in Malaysia. Renew Sustain Energy Rev 41:594–601
Belloumi M, Alshehry AS (2016) The impact of urbanization on energy intensity in Saudi Arabia. Sustainability 8:375–392
Bento JPC, Moutinho V (2016) CO2 emissions, non-renewable and renewable electricity production, economic growth, and international trade in Italy. Renew Sustain Energy Rev 55:142–155
Bildirici ME, Bakirtas T (2014) The relationship among oil, natural gas and coal consumption and economic growth in BRICTS (Brazil, Russian, India, China, Turkey and South Africa) countries. Energy 65:134–144
Bradley R (2005) Basic properties of strong mixing conditions. a survey and some open questions. Probab Surv 2:107–144
Breitung JA (2005) Parametric approach to the estimation of cointegration vectors in panel data. Econ Rev 24:151–173
Breusch T, Pagan AR (1980) The Lagrange multiplier test and its application to model specifications in econometrics. Rev Econ Stud 47:239–253
Chen Y (2018) Factors influencing renewable energy consumption in China: an empirical analysis based on provincial panel data. J Clean Prod 174:605–615
Chindo S, Abdulrahim A, Waziri SI, Huong WM, Ahmad AA (2015) Energy consumption, CO2 emissions and GDP in Nigeria. GeoJournal 80:315–322
Chudik A, Pesaran MH (2013a) Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. J Econ 188(2):393–420
Chudik A, Pesaran MH (2013b) Econometric analysis of high dimensional VARs featuring a dominant unit. Econ Rev 32:592–649
Chudik A, Pesaran MH (2015) Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. J Econ 188:393–420
Chun-sheng Z, Shu-wen N, Xin Z (2012) Effects of household energy consumption and its influence factors in rural and urban areas. Energy Procedia 14:805–811
Clarke KA (2005) The phantom menace: omitted variable bias in econometric research. Confl Manag Peace Sci 22:341–352. https://doi.org/10.1080/07388940500339183
Dantama YU, Abdullahi YZ, Inuwa N (2012) Energy consumption-economic growth nexus in Nigeria: an empirical assessment based on ARDL bound test approach. Eur Sci J 8:141–157
Dar JA, Asif M (2018) Does financial development improve environmental quality in Turkey? An application of endogenous structural breaks based cointegration approach. Man Environ Qual: An Int J 29:368–384
Destek MA (2016) Renewable energy consumption and economic growth in newly industrialized countries: evidence from asymmetric causality test. Renew Energy 95:478–484 https://doi.org/10.1016/jrenene.2016.04.049.
Dumitrescu EI, Hurlin C (2012) Testing for Granger non-causality in heterogeneous panels. Econ Model 29:1450–1460
Elliott RJR, Sun P, Zhu T (2013) The direct and indirect effect of urbanization on energy intensity: a province-level study for China. Energy 123:677–692
Faisal F, Turgut T, Nil GR, Niyazi B (2018) Electricity consumption, economic growth, urbanisation and trade nexus: empirical evidence from Iceland. Econ Res 31:664–680. https://doi.org/10.1080/1331677X.2018.1438907
Farhani S, Solarin SA (2017) Financial development and energy demand in the United States: New evidence from combined cointegration and asymmetric causality tests. Energy 134:1029–1037
Financeiro D (2018) Financial development, income, trade and urbanization on CO2 emissions: new evidence from Kyoto Annex countries. RISUS-J Innov Sustain 9:17–37. https://doi.org/10.24212/2179-3565.2018v9i3p17-37
Fisher RA (1932) Statistical methods for research workers. Oliver and Boyd, Edinburgh
Friedman M (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. J Am Stat Assoc 32:675–701
Ge F, Ye B, Xing S, Wang B, Sun S (2017) The analysis of the underlying reasons of the inconsistent relationship between economic growth and the consumption of electricity in China-a case study of Anhui province. Energy 128:601–608
Ghosh S, Kanjilal K (2014) Long-term equilibrium relationship between urbanization, energy consumption and economic activity: empirical evidence from India. Energy 66:324–331
Gujarati DN, Porter DC (2009) Econometric modeling: model specification and diagnostic testing, 5th edn. McGraw-Hill Irwin, New York
Haseeb A, Xia E, Danish BMA, Abbas K (2018) Financial development, globalization, and CO2 emission in the presence of EKC: evidence from BRICS countries. Environ Sci Pollut Res 25:31283–31296. https://doi.org/10.1007/s11356-018-3034-7
Jamel L, Maktouf S (2017) The nexus between economic growth, financial development, trade openness, and CO2 emissions in European countries. Cogent Econ Financ 5:1–25
Johansen S (1988) Statistical analysis of cointegration vectors. J Econ Dyn Cont 12:231–254
Kasman A, Duman YS (2015) CO2 emissions, economic growth, energy consumption, trade and urbanization in new EU member and candidate countries: a panel data analysis. Econ Model 44:97–103
Khan MTI, Yaseen MR, Ali Q (2018) The dependency analysis between energy consumption, sanitation, forest area, financial development, and greenhouse gas: a continent-wise comparison of lower middle-income countries. Environ Sci Pollut Res 25:1–28. https://doi.org/10.1007/s11356-018-2460-x
Klartag B (2007) A central limit theorem for convex sets. Invent Math 168:91–131
Klartag B (2008) A berry-esseen type inequality for convex bodies with an unconditional basis. Prob Theo Relat Fields 145:1–33
Kocak E, Sarkgunesi A (2017) The renewable energy and economic growth nexus in Black Sea and Balkan Countries. Energy Policy 100:51–57. https://doi.org/10.1016/j.enpol.2016.10.007
Kock N, Lynn GS (2012) Lateral collinearity and misleading results in variance-based SEM: an illustration and recommendations. J Assoc Inf Syst 13:546–580
Lau L-S, Choong C-K, Eng Y-K (2014) Investigation of the environmental Kuznets curve for carbon emissions in Malaysia: do foreign direct investment and trade matter? Energy Policy 68:490–497
Liddle B (2013) The energy, economic growth, urbanization nexus across development: evidence from heterogeneous panel estimates robust to cross-sectional dependence. Energy J 34:223–244
Liddle B, Messinis G (2015) Which comes first-urbanization or economic growth? Evidence from heterogeneous panel causality tests. Appl Econ Lett 22:349–355
Lin B, Moubarak M (2014) Renewable energy consumption-economic growth nexus for China. Renew Sustain Energy Rev 40:111–117
Liu Y (2009) Exploring the relationship between urbanization and energy consumption in China using ARDL (autoregressive distributed lag) and FDM (factor decomposition model). Energy 34:1846–1854
Lotfalipour MR, Falahi MA, Ashena M (2010) Economic growth, CO2 emissions, and fossil fuels consumption in Iran. Energy 35:5115–5120
Lu W (2017) Renewable energy, carbon emissions, and economic growth in 24 Asian countries: evidence from panel co-integration analysis. Environ Sci Pollut Res 24:26006–26015
Maddala GS, Wu S (1999) A comparative study of unit root tests with panel data and a new simple test. Oxford Bul Econ Stat 61:631–652
Manu SB, Sulaiman C (2017) Environmental Kuznets curve and the relationship between energy consumption, economic growth and CO2 emissions in Malaysia. J Econ Sust Dev 8:142–148
Mesagan E (2018) Determinants of environmental quality in Nigeria: assessing the role of financial development. Econ Res Fin 3:55–78. http://erfin.org/journal/index.php/erfin/article/view/35. Accessed 20 Oct 2019
Naser H (2015) Analysing the long-run relationship among oil market, nuclear energy consumption, and economic growth: an evidence from emerging economies. Energy 89:421–434
O’Brien RM (2007) A caution regarding rules of thumb for variance inflation factors. Qual Quant 41:673–690
Paramati SR, Ummalla M, Apergis N (2016) The effect of foreign direct investment and stock market growth on clean energy use across a panel of emerging market economies. Energy Econ 56:29–41
Paramati SR, Apergis N, Ummalla M (2018) Dynamics of renewable energy consumption and economic activities across the agriculture, industry, and service sectors: evidence in the perspective of sustainable development. Environ Sci Pollut Res 25:1375–1387
Pata UK (2018) Renewable energy consumption, urbanization, financial development, income and CO2 emissions in Turkey: testing EKC hypothesis with structural breaks. J Clean Prod 187:770–779. https://doi.org/10.1016/j.jclepro.2018.03.236
Pesaran MH (2004) General diagnostic tests for cross section dependence in panels. Cambridge Work PapEcon 0435(3):1–39 https://ideas.repec.org/p/cam/camdae/0435.html. Accessed in 20 Oct 2019
Pesaran MH (2006) Estimation and inference in large heterogenous panels with multifactor error structure. Econometrica 74:967–1012
Pesaran MH (2015) Testing weak cross-sectional dependence in large panels. Econ Rev 34:1089–1117
Pesaran MH, Smith R (1995) Estimation of long-run relationships from dynamic heterogeneous panels. J Econ 68:79–113
Pesaran MH, Yamaga T (2008) Testing slope homogeneity in large panels. J Econ 142:50–93
Rafindadi AA, Ozturk I (2016) Impacts of renewable energy consumption on the German economic growth: evidence from combined cointegration test. Renew Sust Energ Rev 75:1130–1141
Saboori B, Rasoulinezhad E, Sung J (2017) The nexus of oil consumption, CO2 emissions and economic growth in China, Japan and South Korea. Environ Sci Pollut Res 24:7436–7455
Sadorsky P (2013) Do urbanization and industrialization affect energy intensity in developing countries? Energy Econ 37:52–59
Salahuddin M, Alam K, Ozturk I, Sohag K (2017) The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait. Renew Sust Energ Rev 81:2002–2010. https://doi.org/10.1016/j.rser.2017.06.009
Salim RA, Shafiei S (2014) Urbanization and renewable and non-renewable energy consumption in OECD countries: an empirical analysis. Econ Model 38:581–591
Samal A (2020) An empirical analysis of asymmetry and threshold effect of intergovernmental grants in India: a panel data analysis. Glob Bus Rev 21(2):458-472
Saud S, Chen S, Danish HA (2019) Impact of financial development and economic growth on environmental quality: an empirical analysis from Belt and Road Initiative (BRI) countries. Environ Sci Pollut Res 26:2253–2269. https://doi.org/10.1007/s11356-018-3688-1
Seetanah B, Sannassee RV, Fauzel S, Soobaruth Y, Giudici G, Nguyen APH (2018) Impact of economic and financial development on environmental degradation: evidence from Small Island Developing States (SIDS). Emerg Mark Financ Trade 00:1–15. https://doi.org/10.1080/1540496X.2018.1519696
Sehrawat M, Giri AK, Mohapatra G (2015) The impact of financial development, economic growth and energy consumption on environ- mental degradation: evidence from India. Manag Environ Qual An Int J 26:666–682. https://doi.org/10.1108/MEQ-05-2014-0063
Shahbaz M, Lean HH (2012) Does financial development increase energy consumption? The role of industrialization and urbanization in Tunisia. Energy Policy 40:473–479
Shahbaz M, Sbia R, Hamdi H, Ozturk I (2014) Economic growth, electricity consumption, urbanization and environmental degradation relationship in the United Arab Emirates. Ecol Indic 45:622–631
Shahbaz M, Chaudhary AR, Ilhan O (2017) Does urbanization cause increasing energy demand in Pakistan? Empirical evidence from STIRPAT model. Energy 122:83–93
Shahbaz M, Balsalobre-Lorente D, Sinha A (2019) Foreign direct investment-CO2 emissions in Middle East and North African countries: importance of biomass energy consumption. J Clean Prod 217:603–614
Sharma R, Bhandari R (2013) Skewness, kurtosis and Newton’s inequality. Roc Mount J Math 45:1639–1643
Sinha A, Shahbaz M (2018) Estimation of environmental Kuznets curve for CO2 emissions: role of renewable energy generation in India. Renew Energy 119:703–711
Solarin AA, Al-Mulali U, Musah I, Ozturk I (2017) Investigating the pollution haven hypothesis in Ghana: an empirical investigation. Energy 124:706–719
Soytas U, Sari R, Ewing BT (2007) Energy consumption, income, and carbon emissions in the United States. Ecol Econ 62:482–489
Sulaiman C (2014) The causality between energy consumption, CO2 emissions and economic growth in Nigeria: an application of Toda and Yamamoto Procedure. Adv Nat Appl Sci 8:75–81
Sulaiman C, Abdul-Rahim AS (2017) The relationship between CO2 emission, energy consumption and economic growth in Malaysia: a three-way linkage approach. Environ Sci Pollut Res 24:25204–25220
Sulaiman C, Abdul-Rahim AS (2018) Population growth and CO2 emission in Nigeria: a recursive ARDL approach. SAGE Open:1–14. https://doi.org/10.1177/2158244018765916 https://journals.sagepub.com/home/sgo. Accessed 20 Oct 2019
Tahsin B, Ahmet GA (2018) The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries. Energy. https://doi.org/10.1016/j.energy.2018.01.011
WDI T (2019) World development indicators (DataBank)
Wang S, Zhou D et al (2011) CO2 emissions, energy consumption and economic growth in China: a panel data analysis. Energy Policy 39:4870–4875
Wang S, Fang C et al (2014) Urbanization, energy consumption, and carbon dioxide emissions in China: a panel data analysis of China’s provinces. Appl Energy 136:738–749
Wang S, Zhou C et al (2016) CO2, economic growth, and energy consumption in China’s provinces: investigating the spatiotemporal and econometric characteristics of China’s CO2 emissions. Ecol Indic 69:184–195
Wang S, Li G, Fang C (2018a) Urbanization, economic growth, energy consumption, and CO2 emissions: empirical evidence from countries with different income levels. Renew Sust Energ Rev 81:2144–2159
Wang S, Zeng J, Huang Y, Shi C, Zhan P (2018b) The effects of urbanization on CO2 emissions in the Pearl River Delta: a comprehensive assessment and panel data analysis. Appl Energy 228:1693–1706
Westerlund J, Edgerton DL (2007) A panel bootstrap cointegration test. Econ Lett 97:185–190
Westfall PH (2014) Kurtosis as peakedness. Am Stat 68:91–19
White H (1980) A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroscedasticity. Econometrica 48:817–838
Wooldridge JM (2009) Omitted variable bias: the simple case. introductory econometrics: a modern approach. Cengage Learning, Mason, OH, pp 89–93
Wooldridge JM (2015) Business & economics. https://books.google.com/books?isbn=1305446380. Accessed in 20 Oct 2019
Yildirim E, Saraç Ş, Aslan A (2012) Energy consumption and economic growth in the USA: evidence from renewable energy. Renew Sust Energ Rev 16:6770–6774. https://doi.org/10.1016/j.rser.2012.09.004
York R (2007) Demographic trends and energy consumption in European Union Nations 1960–2025. Soc Sci Res 36:855–872
Zhao Y, Wang S (2015) The relationship between urbanization, economic growth and energy consumption in China: an econometric perspective analysis. Sustainability 7:5609–5627
Zuur AF, Ieno EN, Elphick CS (2010) A protocol for data exploration to avoid common statistical problems. Methods Ecol Evol 1:3–14
Funding
The authors duly acknowledge the financial support of the National Natural Science Foundation of China, Grant Award Number 71371087.
Author information
Authors and Affiliations
Corresponding author
Additional information
Responsible editor: Muhammad Shahbaz
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Musah, M., Kong, Y., Mensah, I.A. et al. The link between carbon emissions, renewable energy consumption, and economic growth: a heterogeneous panel evidence from West Africa. Environ Sci Pollut Res 27, 28867–28889 (2020). https://doi.org/10.1007/s11356-020-08488-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-020-08488-8