The impact of renewable energy, economic growth and FDI on carbon emissions: An evidence of 15 African countries using panel cointegration regression models

Author(s)

Prince Asare Vitenu-Sackey , Jiang Hong Li ,

Download Full PDF Pages: 14-22 | Views: 902 | Downloads: 287 | DOI: 10.5281/zenodo.3496831

Volume 8 - July 2019 (07)

Abstract

This paper adopts panel cointegration (FMOLS and DOLS) methodologies to establish the relationship among carbon dioxide emission, renewable energy consumption and foreign direct investments for a panel of 15 African countries for the period 2000 – 2014. The empirical results affirm a long run relationship among the variables. The long run estimates of the variables aver that renewable energy consumption is negatively related to carbon dioxide emission meaning renewable energy tends to reduce the pollution that results from carbon emission. Meanwhile, foreign direct investment (FDI) has a positive relationship with carbon emission; in other words, FDI increases or causes a rise in carbon emission in the long run. Some recommendations are proposed to ensure the reduction of carbon emission. Governments are advised to; expand the use of renewable energy consumption, create and build low carbon economies, control the activities of pollutants, reduce tropical deforestation and increase vehicle fuel efficiency and support other solutions that reduce oil use

Keywords

Carbon emission; Renewable energy consumption; FDI; FMOLS; DOLS

References

        i.        Ahmed S. 2015. Variance Decomposition of Emissions, FDI, Growth and Imports in GCC countries: A Macroeconomic Analysis. International Journal of Management Science and Business Administration Volume 1, Issue 6, May 2015, Pages 118-126.

ii.      Amponsah N.Y., Troldborg M., Kington B., Aalders I., Hough R.L. 2014. Greenhouse gas emissions from renewable energy sources: a review of lifecycle considerations. Renew. Sustain. Energy Rev. 39, 461–475.

iii.    Arvesen A., Hertwich E.G. 2012. Assessing the life cycle environmental impacts of wind power: a review of present knowledge and research needs. Renew. Sustain. Energy Rev. 16, 5994–6006.

iv.     Behera, S.R., Dash, D.P., 2017. The effect of urbanization, energy consumption, and foreign direct investment on the carbon dioxide emission in the SSEA (south and southeast Asian)  region.  Renew.  Sust.  Energ.  Rev.  70,  96–106.  https://doi.org/10.1016/j.rser.2016.11.201.

v.       Ben Jebli, S. M., Ben Youssef, I. Ozturk. The Role Of Renewable Energy Consumption And Trade: Environmental Kuznets Curve Analysis For Sub-Saharan Africa Countries, Afr. Dev. Rev. 27 (2015b) 288 - 300.

vi.     Cheng C., Xiaohang R., Zhen W. 2019. The impact of renewable energy and innovation on carbon emission: An empirical analysis for OECD countries. Energy Procedia 158, 3506-3512.

vii.   Chun-Ping C., Minyi D., Bo S., Yin C. 2019. Driving forces of global carbon emissions: From time- and spatial-dynamic perspectives. Economic Modelling Volume 77, March 2019, Pages 70-80

viii. Dong K., Sun R., Hochman G., 2017. Do natural gas and renewable energy consumption lead to less CO2 emissions? Empirical evidence from a panel of BRICS countries. Energy 141, 1466–1478.

ix.     Fortune G. 2019. The Impact Of Innovation And Technology Investments On Carbon Emissions In Selected Organisation For Economic Co-Operation And Development Countries. Journal of Cleaner Production 217 (2019) 469 – 483

x.       Furlan C., Mortarino C. 2018. Forecasting the impact of renewable energies in competition with non-renewable sources. Renew. Sustain. Energy Rev. 81, 1879–1886.

xi.     Hertwich E., Gibon T., Bouman E.A., Arvesen A., Suh S., Heath G.A., Bergesen J.D., Ramirez A., Vega M.I., Shi L., 2015. Integrated life-cycle assessment of electricity supply scenarios confirms global environmental benefit of low-carbon technologies. PNAS 112, 6277–6282.

xii.   Hong L., Zhou N., Fridley D., Raczkowski C., 2013. Assessment of China's renewable energy contribution during the 12th Five Year Plan. Energy Policy 62, 1533–1534.

xiii. Ito K., 2017. CO2 emissions, renewable and non-renewable energy consumption, and economic growth: evidence from panel data for developing countries. Int. Econ.151, 1–6.

xiv. Julian K., Frauke U., 2018. Technology Transfer And Cooperation For Low Carbon Energy Technology: Analysing 30 Years of Scholarship and Proposing A Research Agenda. Energy Policy 119, 600 – 609

xv.   Lingyun H., Lihong Z., Zhangqi Z., Deqing W., Feng W. 2019. Green credit, renewable energy investment and green economy development: Empirical analysis based on 150 listed companies of China. Journal of Cleaner Production Volume 208, 20 January 2019, Pages 363-372

xvi. Liu Q., Lei Q., Xu H., Yuan J. 2018. China's energy revolution strategy into 2030. Resour., Conserv. Recycl. 128, 78–89.

xvii.    Liu Z. 2015.Steps to China's carbon peak. Nature 522, 279.

xviii.   Moore J.C., Chen Y., Cui X., Yuan W., Dong W., Gao Y., Shi, P., 2016.Will China be the first to initiate climate engineering? Earth’s Future 4, 588–595.

xix. Mu Y., Wang C., Cai W. 2018. The economic impact of China's INDC: distinguishing the roles of the renewable energy quota and the carbon market. Renew. Sustain. Energy Rev. 87, 2055–2966.

xx.   Nicholas A., Mehdi J., Slim Y. 2018. Does Renewable Energy Consumption And Health Expenditures Decrease Carbon Dioxide Emissions? Evidence For Sub-Saharan Africa Countries. Renewable Energy 127, 1011 – 1016

xxi. Ozturk F. B. 2015. Biomass Energy And Economic Growth Nexus In G7 Countries: Evidence From Dynamic Panel Data, Renew. Sustain. Energy Rev. 49, 132 - 138.

xxii.    Pan X.Z., Chen W.Y., Clarke L.E., Wang L., Liu G., 2017. China's energy system transformation towards the 2 °C goal: implications of different effort-sharing principles. Energy Policy 103, 116–126.

xxiii.   Qi T., Zhang X., Karplus V.J., 2014. The energy and CO2 emissions impact of renewable energy development in China. Energy Policy 68, 60–69

xxiv.    Saddam, A. (2014). Trade and Foreign Direct Investment: Impact on Economic Growth and Emissions in Gulf Cooperation Council Countries. Economics University of Malaya Ph.D: 374.

xxv.      Samuel A. S., Vladimir S. 2019. Effects of foreign direct investments, economic development and energy consumption on greenhouse gas emissions in developing countries. Science of the total environment 646, 862-871.

xxvi.     Solarin, S.A., Al-Mulali, U., Musah, I., Ozturk, I., 2017. Investigating the pollution haven hypothesis in Ghana: an empirical investigation. Energy 124, 706–719. https://doi.org/ 10.1016/j.energy.2017.02.089.

xxvii.  Sun, C., Zhang, F., Xu, M., 2017. Investigation of pollution haven hypothesis for China: an ARDL approach with breakpoint unit root

xxviii. Song J., Yang W., Higano Y., Wang X., 2015. Introducing renewable energy and industrial restructuring to reduce GHG emission: application of a dynamic simulation model. Energy Convers. Manag. 96, 625–636.

xxix.    Sun X., Zhang B., Tang X., McLellan B.C., Höök M., 2016. Sustainable Energy Transitions in China: renewable Options and Impacts on the Electricity System. Energies 9, 980. http://dx.doi.org/10.3390/en9120980.

xxx.     Toda, Y.H., Yamamoto, T., 1995. Statistical inference in vector autoregressions with possibly integrated processes. J. Econ. 66, 225–250.

xxxi.    World Bank report, 2015. World bank’s world development indicators. Available at http://www.worldbank.org/. dataset.

xxxii.   Xie H., Yu Y., Wang W., Liu Y., 2017. The substitutability of non-fossil energy, potential carbon emission reduction and energy shadow prices in China. Energy Policy 107, 63–71.

xxxiii.  Xie Y., Dai H., Dong H., 2018. Impacts of SO2 taxations and renewable energy development on CO2, NOx and SO2 emissions in Jing-Jin-Ji region. J. Clean. Prod. 171, 1386–1395.

xxxiv.  Yamada, H., Toda, Y.H., 1998. Inference in possibly integrated vector autoregressive models: some finite evidence. J. Econ. 86, 55–95.

xxxv.  Yang Z., Jintao F., Ying K., Rui W. 2018. How Foreign Direct Investment Influences Carbon Emissions, Based on the Empirical Analysis of Chinese Urban Data. Sustainability MPDI.

xxxvi.  Zapata, H.O., Rambaldi, A.N., 1997. Monte Carlo evidence on cointegration and cau-sation. Oxf. Bull. Econ. Stat. 59 (2), 285–298.

xxxvii. Zarsky, L., 1999. Havens, halos and spaghetti: untangling the evidence about foreign direct investment and the environment. Foreign direct Investment and the Environment. 47-74.

xxxviii.  Zhao X., Cai Q., Zhang S., Luo K. 2017. The substitution of wind power for coal-fired power to realize China's CO2 emissions reduction targets in 2020 and 2030. Energy 120, 164–178.

xxxix.  Zhu H.M., Duan L.J., Guo Y.W., Yu K.M., 2016. The effects of FDI, economic growth and energy consumption on carbon emission in ASEAN-5: Evidence from panel quantile regression. Economic Modelling 58, 237-248.

xl.     Zakarya, G.Y., Mostefa, B., Abbes, S.M., Seghir, G.M., 2015. Factors affecting CO2 emissions in the BRICS countries: a panel data analysis. Procedia Econ. Financ. 26, 114–125.

xli.   Zhang, C., Zhou, X., 2016. Does foreign direct investment lead to lower CO2 emissions? Evidence from a regional analysis in China. Renew. Sust. Energ. Rev. 58, 943–951.

xlii. Zhu, H., Duan, L., Guo, Y., Yu, K., 2016. The effects of FDI, economic growth and energy consumption on carbon emissions in ASEAN-5: evidence from panel quantile regression. Econ. Model. 58, 237–248. https://doi.org/10.1016/j.econmod.2016.05.003.

Cite this Article: