Quarterly Publication

Document Type : Original Article

Authors

1 Department of Energy Economics and Management, Tehran Faculty of Petroleum, Petroleum University of Technology, Tehran, Iran

2 Department of Energy Economics & Management,Tehran Faculty of Petroleum, Petroleum University of Technology, Tehran, Iran

Abstract

Considering global warming and importance of sustainable growth in economic sub-sectors, this paper presents and estimates an empirical model of renewable energy consumption for the industrial sector of selected OPEC and non-OPEC countries over the period 1990-2014. Panel co-integration estimates by Pedroni (1999,2004) and Westerlund (2005,2006) show that, in the long term, increases in industrial value added per capita, real oil prices, and CO2 per capita are found to be major drivers behind per capita renewable energy consumption for both OPEC and Non-OPEC nations. Panel Granger causality by the Dumitrescu and Hurlin (2012) method confirms that there are bi-directional causality relationship between research variables and therefore verify feedback hypothesis. Finally, FMOLS and DOLS results show that when industrial value added per person increases, per capital renewable energy consumption increases by greater magnitude in non-OPEC than OPEC countries; also an increase in CO2 emissions per person increases per capita renewable energy consumption by greater amount in non-OPEC than OPEC nations.

Keywords

Adetutu, M. O. (2014). Energy efficiency and capital-energy substitutability: Evidence from four OPEC countries. Applied Energy. 119(April), pp. 363-370.
Alper, A., Ocal, O. (2016). The role of renewable energy consumption in economic growth: Evidence from asymmetric causality. Renewable and Sustainable Energy Reviews.60(July), pp. 953-959.
Aslan, A. (2016). The causal relationship between biomass energy use and economic growth in the United States. Renewable and Sustainable Energy Reviews.57(May), pp. 362-366.
Apergis, N., Payne, J. E. (2010 ). Renewable energy consumption and economic growth: evidence from a panel of OECD countries. Energy policy. 38 (1), pp. 656-660.
Apergis, N., Payne, J. E. (2011 ). The renewable energy consumption–growth nexus in Central America. Applied Energy. 88 (1), pp. 343-347.
Apergis, N., Payne, J. E. (2012 ). Renewable and nonrenewable energy consumption-growth nexus: Evidence from a panel error correction model. Energy Economics. 43 (3), pp. 733-738.
Apergis, N., Payne, J. E. (2017 ). Per capita carbon dioxide emissions across US states by sector and fossil fuel source: Evidence from club convergence tests. Energy Economics. 63(March), pp.365-372.
Apergis, N., Salim, R. (2015). Renewable energy consumption and unemployment: evidence from a sample of 80 countries and nonlinear estimates. Applied Economics. 47 (52), pp. 5614-5633.
Al-mulali, U., Gholipour Fereidouni, H., Ym Lee J., Che Normee Binti Che Sab. (2013). Examining the bidirectional long run relationship between renewable energy consumption and GDP growth. Renewable and Sustainable Energy Reviews. 22(June). pp.209 -222.
Al-mulali, U., Gholipour Fereidouni, H., Lee, Janice Y.M. (2014). Electricity consumption from renewable and nonrenewable sources and economicgrowth: Evidence from Latin American countries Renewable and Sustainable Energy Reviews. 30(February). pp.290 -298.
Bai, J. and Perron, P. (1998). Estimating and testing linear models with multiple structural changes. Econometrica, 66 (1), pp.47—78.
Bai, J. and Perron, P. (2003). Computation and analysis of multiple structural change models. Journal of Applied Econometrics. 18 (1), pp. 1-22.
Breitung, J., (2000). The local power of some unit root tests for panel data. Advances in Econometrics. 15. pp. 161.
Baltagi, B. H. (2005). Econometric analysis of panel data(3rd Ed). John Wiley & Sons. Available at; https:// himayatullah.weebly.com/uploads/5/3/4/0/53400977/ baltagi-econometric-analysis-of-panel-data_himmy.pdf. ((Downloaded: 17March 2018).
Barkindo, M.(2006) 'Global energy industry - Current challenges and opportunities' Acting for the OPEC Secretary General, at the Sixth Russian Oil & Gas Week, Moscow, Russia, 30 October-2 November 2006, Available at: https://www.opec.org/opec_web/en/971. htm(Accessed: 23 April 2018)
Bhattacharya, M., Paramati, S.R., Ozturk, I., Bhattacharya, S. (2016). The effect of renewable energy consumption on economic growth: evidence from top 38 countries. Applied Energy. 162 (January), pp. 733-741.
Bilgili, F. (2015 ). Business cycle co-movements between renewables consumption and industrial production: A continuous wavelet coherence approach. Renewable and Sustainable Energy Reviews. 52 (December), pp. 325- 332.
Bilgili, F., Ozturk, I. (2015). Biomass energy and economic growth nexus in G7 countries: Evidence from dynamic panel data. Renewable and Sustainable Energy Reviews. 49 (September), pp. 132-138.
BP. (2017). BP Statistical Review of World Energy. Available at: https://www.bp.com/content/dam/bp/en/corporate/pdf/ energy-economics/statistical-review-2017/bp-statisticalreview-of-world-energy-2017-full-report.pdf (Accessed: 3 August 2017).
Cheema, A. R., Javid, A. Y. (2015). The Relationship between Disaggregate Energy Consumption, Economic Growth and Environment for Asian Developing Economies., PIDE-Working Papers No 2015:115.Pakistan Institute of Development Economics.
Dickey, D. and Fuller, W. (1979). Distribution of the estimators for autoregressive time series with a unit root. Journal of the American Statistical Association, 74 (366a), pp.427—431.
Dincer, I. (2000). Renewable energy and sustainable development: a crucial review. Renewable and Sustainable Energy Reviews. 4 (2), pp. 157-175.
Dogan, E. (2015 ). The relationship between economic growth and electricity consumption from renewable and non-renewable sources: A study of Turkey. Renewable and Sustainable Energy Reviews. 52 (December), pp. 534-546.
Destek, M. A. (2016). Renewable energy consumption and economic growth in newly industrialized countries: Evidence from asymmetric causality test. Renewable Energy, 95(C), pp. 478-484.
Dumitrescu, E.I., Hurlin, C. (2012). Testing for Granger non-causality in heterogeneous panels. Economic Modelling. 29 (4), pp. 1450-1460.
Del Rio, P., Burguillo, M. ( 2009 ). An empirical analysis of the impact of renewable energy deployment on local sustainability. Renewable and Sustainable Energy Reviews. 13 (6-7), pp. 1314-1325.
Ellabban, O., Abu-Rub, H., Blaabjerg, F. (2014). Renewable energy resources: current status, future prospects and their enabling technology. Renewable and Sustainable Energy Reviews. 39 (November), pp. 748-764.
Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3). pp.424–438.
Griffith-Jones, S. , Spratt S., Andrade R., - Griffith-Jones, E. (2017). Investment in renewable energy, fossil fuel prices and policy implications for Latin America and the Caribbean. Economic Commission form Latin Americ and the Caribbean: United Nations.
Hillebrand, B., Buttermann, H.G., Behringer, J.M., Bleuel, M. (2006 ). The expansion of renewable energies and employment effects in Germany. Energy Policy. 34 (18), pp. 3484-3494.
Hamit-Haggar, M. (2016 ). Clean energy-growth nexus in sub-Saharan Africa: Evidence from cross-sectionally dependent heterogeneous panel with structural breaks. Renewable and Sustainable Energy Reviews. 57 (May), pp. 1237-1244.
IRENA. (2015). Renewable Energy Options for the Industry Sector: Global and Regional Potential Until 2030. International Renewable Energy Agency(IRENA). Available at: http://www.irena.org/-/media/Files/IRENA/ Agency/Publication/2014/Aug/IRENA_RE_Potential_ for_Industry_BP_2015.pdf?la=en&hash=F9B495F78DB 624BC6A546F15D90C216FDE09DBAD.
IEA. (2017). Renewable Energy, Medium-Term Market Report: Market Analysis and Forecasts to 2020. International Energy Agency(IEA). World energy outlook. Available at: http://www.iea.org/publications/ freepublications/publication/MTRMR2017 pdf.
Isik, C., Dogru, T, Turk, E.S (2017). A nexux of linear and non-linear relationships between tourim demand, renewable energy consumption, and economic growth: Theory and Evidence. International Journal of Tourism Research. 20 (2017), pp. 38-49.
Inglesi-Lotz, R. (2016 ). The impact of renewable energy consumption to economic growth: A panel data application. Energy Economics. 53 (January), pp. 58-63.
Im, K.S., Pesaran, M.H., Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of Econometrics. 115, pp. 53–74.
Koçak, E. , Şarkgüneşi, A. (2017). The renewable energy and economic growth nexus in black sea and Balkan countries. Energy Policy. 100 (January), pp. 51-57.
Kulionis, V. (2013 ). The relationship renewable energy consumption, CO2 emissions, and economic growth in Denmark, Master Thesis, School of Economics and Management, Lund University, Sweden. Available at: http://lup.lub.lu.se/luur/download?func=downloadFile&r ecordOId=3814694&fileOId=3814695.
Baltagi, B.H., Fomby, T. B., and Hill R. C. (eds.) (2001). Nonstationary Panels, Panel Cointegration and Dynamic Panels, Volume 15, Elsevier Science Inc. pp.179–222
Kao, C., Chiang, M.H. (2000 ). On the estimation and inference of a cointegrated regression in panel data. Nonstationary Panels, Panel Cointegration and Dynamic Panels, Volume 15, Elsevier Science Inc. pp.179–222
Levin, A., Lin, C.F., Chu, Ch.-Sh.J. (2002). Unit root tests in panel data: asymptotic and finite sample properties. Journal of Econometrics. 108, pp. 1–24.
Lin, B., Moubarak, M. ( 2014 ). Renewable energy consumption–Economic growth nexus for China. Renewable and Sustainable Energy Reviews. 40 (Deecember), pp. 111-117.
Lopez, L., Weber. S. (2017). Testing for Granger causality in panel data. IRENE Working paper No. 17-03. Institute of Economic Research. University of Neuchatel.
Maiga, A.S., Chen, G.M., Wang, Q ., Xu, J.Y. (2008 ). Renewable energy options for a Sahel country: Mali. Renewable and Sustainable Energy Reviews. 12 (2), pp. 564-574.
Moreno, B., Lopez, A.J. (2008 ). The effect of renewable energy on employment. The case of Asturias (Spain). Renewable and Sustainable Energy Reviews. 12 (3), pp. 732-751.
Menegaki, A.N. ( 2011 ). Growth and renewable energy in Europe: a random effect model with evidence for neutrality hypothesis. Energy Economics. 33(2), pp. 257-263.
Maddala, G.S. and Wu, S. (1999). A comparative study of unit root tests with Panel Data and a new simple test”, Oxford Bulletin of Economics and Statistics, 61 (4). pp. 631–652.
Masih, R., Masih, A.M.M. (1996). Stock-Watson dynamic OLS (DOLS) and error-correction modelling approaches to estimating long-and short-run elasticities in a demand function: new evidence and methodological implications from an application to the demand for coal in mainland China. Energy Economics. 18 (4), pp. 315-334.
Ocal, O., Alper, A. (2013). Renewable energy consumption– economic growth nexus in Turkey. Renewable and Sustainable Energy Reviews. 28(December). pp. 494-499.
Ozturk, I. (2010). A literature survey on energy–growth nexus. Energy policy. 38 (1), pp.340-349. 
Ozturk, I., Bilgili, F. (2015). Economic growth and biomass consumption nexus: Dynamic panel analysis for SubSahara African countries. Applied Energy. 137 (January), pp.110-116.
Payne, J.E. (2009). On the dynamics of energy consumption and output in the US. Applied Energy. 86 (4), pp. 575- 577.
Payne, J. E. (2012). The causal dynamics between US renewable energy consumption, output, emissions, and oil prices. Energy Sources. 7 (4), pp. 323-330.
Pao, H.T., Fu, H.C. (2013 ). Renewable energy, nonrenewable energy and economic growth in Brazil. Renewable and Sustainable Energy Reviews. 25 (September), pp. 381-392.
Pedroni, P. (1999). Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors, Oxford Bulletin of Economics and Statistics, 61 (4), pp. 653–670.
Phillips, P.C.B., Perron, P. (1988). Testing for a unit root in time series regression. Biometrika. 75(2), pp.335–346.
Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review of Economics and Statistics, 83(4), pp. 727–731.
Pedroni, P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory, 20(3), pp.597–625.
Rahman, Md. S. Abu Hanifa, M. N., Shahari, F., Aslam, M., Gee, Ch. S., Che Ruhana I., Pervin, S. (2016). Efficient energy consumption in industrial sectors and its effect on environment: A comparative analysis between G8 and Southeast Asian emerging economies. Energy 97(February). pp.82-89.
RENEWABLES 2016: Global Status Report.(2016). Renewable Energy Policy Network for 21st Century (REN21). Available at: http://www.ren21.net/wp-content/ uploads/2016/05/GSR_2016_Full_Report_lowres.pdf.
Shahbaz, M., Rasool, G., Ahmed, Kh., Mahalik, M.K.. ( 2016). Considering the effect of biomass energy consumption on economic growth: fresh evidence from BRICS region. Renewable and Sustainable Energy Reviews. 60 (July), pp. 1442-1450.
Shahbaz, M., Loganathan, N., Zeshan, M., Zaman, Kh. (2015). Does renewable energy consumption add in economic growth? An application of auto-regressive distributed lag model in Pakistan. Renewable and Sustainable Energy Reviews. 44 (April), pp. 576-585.
Salim, R.A. andRafiq, Sh. (2012 ). Why do some emerging economies proactively accelerate the adoption of renewable energy? Energy Economics. 34 (4), pp. 1051- 1057.
Sadorsky, P. (2009a). Renewable energy consumption, CO2 emissions and oil prices in the G7 countries. Energy Economics. 31 (3), pp. 456- 462.
Sadorsky, P. (2009b). Renewable energy consumption and income in emerging economies. Energy Policy. .37 (10), pp. 4021- 4028.
Sieminski, A. (2014). International energy outlook 2014: For Columbia University Center on Global Energy Policy. U.S. Energy Information Administration. Washington, D.C., Sept. 2014.
Squalli, J. (2007 ). Electricity consumption and economic growth: Bounds and causality analyses of OPEC members. Energy Economics. 29 (6), pp. 1192 - 1205.
Sari, R. Ewing, Bradley T. & Soytas, U. (2008). The relationship between disaggregate energy consumption and industrial production in the United States: An ARDL approach. Energy Economics. 30(5), pp.2302-2313.
Tugcu, C.T., Ozturk, I., Alper, A. (2012). Renewable and non-renewable energy consumption and economic growth relationship revisited: evidence from G7 countries. Energy economics. 34 (6), pp. 1942 - 1950.
Pary, M., Canziani, O., Paluotikaof, J. Kinden, P.v.d, Hansonj, C. (2007). Climate Change 2007: Impacts, Adaptation and Vulnerability. The Intergovernmental Panel on Climate Change (IPCC): Cambridge University Press. Available at: https://www.ipcc.ch/pdf/assessmentreport/ar4/wg2/ar4_wg2_full_report.pdf.
Thiam, D. R. (2011 ). Renewable energy, poverty alleviation and developing nations: Evidence from Senegal. Journal of Energy in Southern Africa. 22 (3), pp. 23- 34.
Tiwari, A. K. ( 2011 ). A structural VAR analysis of renewable energy consumption, real GDP and CO2 emissions: evidence from India. Economics Bulletin. AccessEcon, 31(2). pages 1793-1806. World Bank. World Bank Open Data. Available at:: https: // data.worldbank.org.
Westerlund, J. (2005). New simple tests for panel cointegration. Econometric Reviews. 24(3). pp. 297–316.
Westerlund, J. (2006). Testing for Panel Cointegration with Multiple Structural Breaks. Oxford Bulletin of Economics and Statistics. 68 (1). pp. 101-132.
Yang, Z. and Zhao, Y. (2014). Energy consumption, carbon emissions, and economic growth in India: Evidence from directed acyclic graphs. Economic Modelling. 38(February). pp.533 -540.
Zahnd, A. andKimber, H.M .(2009). Benefits from a renewable energy village electrification system. Journal of Renewable Energy. Vol.34 (2), pp. 362-368.
Zoundi, Z.(2017). CO2 emissions, renewable energy and the Environmental Kuznets Curve, a panel cointegration approach. Renewable and Sustainable Energy Reviews. 72(2017), pp. 1067-1075.