Abstract
Unlike the previous study, this paper employs panel cointegration and Granger causation approaches to discuss the associations among carbon dioxide (CO2) emissions, GDP growth, clean energy generation, and industrial growth for the top ten industrial countries spanning the period 1980-2014. The primary empirical outcomes show a two-way long-run association between environmental indicator, GDP growth, and clean energy generation, while one short-run causation from clean energy generation to CO2 emissions and from industrial growth to clean energy generation. The computed coefficients elasticity’s under FMOLS, DOLS, and CCR estimates revealed that the clean energy generation statistically contributes to declining emissions of CO2 in Australia, Austria, and Chile while statistically increase emissions of CO2 in Denmark and the Netherlands. Industrial growth statistically contributes to reducing emissions of CO2 in Denmark and Norway but increases emissions in Chile, France, and Sweden. For the global panel, industrial growth leads to mitigate the rate of emissions while clean energy generation raises CO2 emissions in the long period. Investing in clean energy is needed to stimulate the growth of the industrial sector and then reduce the rate of emissions.
Similar content being viewed by others
Availability of data and material
The datasets used during the current study are available from the corresponding or first author on reasonable request.
Code availability
Eviews 10.0 software.
Notes
There are other countries which have higher industrial growth than that of the selected countries. However, these non-selected countries do not have enough data on renewable energy.
References
Afridi MA, Kehelwalatenna S, Naseem I, Tahir M (2019) Per capita income, trade openness, urbanization, energy consumption, and CO2 emissions: an empirical study on the SAARC Region. Environ Sci Pollut Res 26:29978–29990. https://doi.org/10.1007/s11356-019-06154-2
Ali HS, Law SH, Zannah TI (2016) Dynamic impact of urbanization, economic growth, energy consumption, and trade openness on CO2 emissions in Nigeria. Environ Sci Pollut Res 23:12435–12443. https://doi.org/10.1007/s11356-016-6437-3
Anser MK (2019) Impact of energy consumption and human activities on carbon emissions in Pakistan: application of stirpat model. Environ Sci Pollut Res 26:13453–13463
Apergis N, Payne JE (2009) CO2 emissions, energy usage, and output in Central America. Energy Policy. 37:3282–3286
Apergis N, Payne JE (2010) The emissions, energy consumption, and growth nexus: evidence from the commonwealth of independent states. Energy Policy 38:650–655
Arvin MB, Pradhan RP, Norman NR (2015) Transportation intensity, urbanization, economic growth, and CO2 emissions in the G-20 countries. Utilities Policy 35:50–66
Balsalobre-Lorente D, Shahbaz M, Rouboud D, Farhani S (2018) How economic growth, clean electricity and natural resources contribute to CO2 emissions? Energy Policy 113:356–367
Ben Jebli M, Ben Youssef S (2015) The environmental Kuznets curve, economic growth, clean and non-clean energy, and trade in Tunisia. Clean and Sustainable Energy Reviews 47:173–185
Ben Jebli M, Ben Youssef S (2017) The role of clean energy and agriculture in reducing CO2 emissions: evidence for North Africa countries. Ecological Indicators 74:295–301
Ben Jebli M, Ben Youssef S, Ozturk I (2016) Testing environmental Kuznets curve hypothesis: the role of clean and non-clean energy consumption and trade in OECD countries. Ecological Indicators 60:824–831
Cerdeira Bento JP, Moutinho V (2016) CO2 emissions, non-clean and clean electricity production, economic growth, and international trade in Italy. Clean and Sustainable Energy Reviews 55:142–155
Charfeddine L, Kahia M (2019) Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: a panel vector autoregressive (PVAR) analysis. Renew. Energy 139:198–213. https://doi.org/10.1016/j.renene.2019.01.010
Dogan E, Aslan A (2017) Exploring the relationship among CO2 emissions, real GDP, energy consumption and tourism in the EU and candidate countries: evidence from panel models robust to heterogeneity and cross-sectional dependence. Clean and Sustainable Energy Reviews 77:239–245
Doğan B, Driha OM, Balsalobre Lorente D, Shahzad U (2021) The mitigating effects of economic complexity and renewable energy on carbon emissions in developed countries. Sustain. Dev. 29:1–12. https://doi.org/10.1002/sd.2125
Ehigiamusoe KU, Lean HH (2019) Effects of energy consumption, economic growth, and financial development on carbon emissions: evidence from heterogeneous income groups. Environ Sci Pollut Res 26:22611–22624. https://doi.org/10.1007/s11356-019-05309-5
EIA, 2019. International - U.S. Energy Information Administration (EIA) [WWW Document], n.d. URL https://www.eia.gov/international/data/world.
Engle RF, Granger CWJ (1987) Co-integration and error correction: representation, estimation, and testing. Econometrica 55:251–276
Farooq MU, Shahzad U, Sarwar S, Zaijun L (2019) The impact of carbon emission and forest activities on health outcomes: empirical evidence from China. Environ. Sci. Pollut. Res. 26:12894–12906. https://doi.org/10.1007/s11356-019-04779-x
Frees EW (1995) Assessing cross-sectional correlation in panel data. Journal of Econometrics 69:393–414
Frees EW (2004) Longitudinal and panel data: analysis and applications in the social sciences. Cambridge University Press, Cambridge
Friedman M (1937) The use of ranks to avoid the assumption of normality implicit in the analysis of variance. Journal of the American Statistical Association 32:675–670
Grossman G, Krueger A (1995) Economic growth and the environment. The Quarterly Journal of Economics 110:353–377
Haider Zaidi SA, Wasif Zafar M, Shahbaz M, Hou F (2019) Dynamic linkages between globalization, financial development and carbon emissions: evidence from Asia Pacific Economic Cooperation countries. Journal of Cleaner Production 228:533–543
Halicioglu F (2009) An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy 37:1156–1164
International Clean Energy Agency, 2014. Clean energy options for the industry sector: global and regional potential until 2030. Accessed at: www.irena.org
International Energy Agency, 2012. CO2 emissions from fuel combustion 2012. OCDE, Paris. Accessed at: https://doi.org/10.1787/co2_fuel-2012-en.
International Energy Agency, 2018. Global energy and CO2 status report. Accessed at: www.iea.org.
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. Economic Modelling 44:97–103
Katircioğlu ST, Taşpinar N (2017) Testing the moderating role of financial development in an environmental Kuznets curve: empirical evidence from Turkey. Clean and Sustainable Energy Reviews 68:572–586
Katircioğlu ST, Feridum M, Kilinc C (2014) Estimating tourism-induced energy consumption and CO2 emissions: the case of Cyprus. Clean and Sustainable Energy Reviews 29:634–640
Kurozumi E, Hayakawa K (2009) Asymptotic properties of the efficient estimators for cointegrating regression models with serially dependent errors. Journal of Econometrics 149:118–135
Mark NC, Sul D (2003) Cointegration vector estimation by panel DOLS and long-run money demand. Oxford Bulletin of Economics and Statistics 65:655–680
Mikayilov JI, Galeotti M, Hasanov FJ (2018) The impact of economic growth on CO2 emissions in Azerbaijan. Journal of Clean Production 197:1558–1572
Nasir MA, Canh NP, Lan Le TN (2021) Environmental degradation & role of financialisation, economic development, industrialisation and trade liberalisation. J. Environ. Manage. 277:111471. https://doi.org/10.1016/j.jenvman.2020.111471
Park JY (1992) Canonical cointegrating regressions. Econometrica 60:119–143
Pedroni P (2001) Purchasing power parity tests in cointegrated panels. The Review of Economics and Statistics. 83:727–731
Pedroni P (2004) Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric Theory 20:597–625
Pesaran, M. H., 2004. General diagnostic tests for cross section dependence in panels. University of Cambridge, Faculty of Economics, Cambridge Working Papers in Economics No. 0435.
Pesaran MH (2007) A simple panel unit root test in the presence of cross-section dependence. Journal of Applied Econometrics 22:265–312
Saidi K, Ben Mbarek M (2016) Nuclear energy, clean energy, CO2 emissions, and economic growth for nine developed countries: evidence from panel Granger causality tests. Progress in Nuclear Energy 88:364–374
Salahuddin M, Alam K, Ozturk I, Sohag K (2018) The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait. Clean and Sustainable Energy Reviews 81:2002–2010
Shahbaz M, Salah Uddin G, Ur Rehman I, Imran K (2014) Industrialization, electricity consumption and CO2 emissions in Bangladesh. Clean and Sustainable Energy Reviews 31:575–586
Shahbaz M, Khraief N, Ben Jemaa MM (2015) On the causal nexus of road transport CO2 emissions and macroeconomic variables in Tunisia: evidence from combined cointegration tests. Clean and Sustainable Energy Reviews 51:89–100
Shahzad U, Ferraz D, Doğan B, Aparecida do Nascimento Rebelatto D (2020) Export product diversification and CO2 emissions: contextual evidences from developing and developed economies. J. Clean. Prod. 276:124146. https://doi.org/10.1016/j.jclepro.2020.124146
Waheed R, Chang D, Sarwar S, Chen W (2018) Forest, agriculture, clean energy, and CO2 emission. Journal of Cleaner Production. 172:4231–4238
Wang Z, Bin Zhang D, Wang B (2018) The moderating role of corruption between economic growth and CO2 emissions: evidence from BRICS economies. Energy 148:506–513
Wang Z, Rasool Y, Zhang B, Ahmed Z, Wang B (2019) Dynamic linkage among industrialisation, urbanisation, and CO2 emissions in APEC realms: evidence based on DSUR estimation. Structural Change and Economic Dynamics. 52:382–389. https://doi.org/10.1016/j.strueco.2019.12.001
Wang Z, Ben Jebli M, Madaleno M, Doğan B, Shahzad U (2021) Does export product quality and renewable energy induce carbon dioxide emissions: evidence from leading complex and renewable energy economies. Renew. Energy 171:360–370. https://doi.org/10.1016/j.renene.2021.02.066
Wasti SKA, Zaidi SW (2020) An empirical investigation between CO2 emission, energy consumption, trade liberalization and economic growth: a case of Kuwait. Journal of Building Engineering. 28:101104. https://doi.org/10.1016/j.jobe.2019.101104
Westerlund J (2007) Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics 69:709–748
World Bank, 2019. World Development Indicators | DataBank [WWW Document], n.d. URL https://databank.worldbank.org/reports.aspx?source=2&country=USA .
Xu B, Lin B (2015) How industrialization and urbanization process impacts on CO2 emissions in China: \Evidence from nonparametric additive regression models. Energy Econ 48:188-202
Zheng S, Wang R, Mak TMW, Hsu SC, Tsang DCW (2021) How energy service companies moderate the impact of industrialization and urbanization on carbon emissions in China? Sci. Total Environ 751:141610. https://doi.org/10.1016/j.scitotenv.2020.141610
Zhou X, Zhang J, Li J (2013) Industrial structural transformation and carbon dioxide emissions in China. Energy Policy 57:43–51
Funding
Not applicable.
Author information
Authors and Affiliations
Contributions
Montassar Kahia: introduction, literature review, concept-building, and data. Mehdi Ben Jebli: methods, analysis, discussion, conclusion, and implications.
Corresponding author
Ethics declarations
Ethical approval
Not applicable.
Consent to participate
Not applicable.
Consent for publication
Not applicable.
Conflicts of interest
The authors declare no competing interests.
Additional information
Responsible Editor: Ilhan Ozturk
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
Kahia, M., Ben Jebli, M. Industrial growth, clean energy generation, and pollution: evidence from top ten industrial countries. Environ Sci Pollut Res 28, 68407–68416 (2021). https://doi.org/10.1007/s11356-021-15311-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-021-15311-5