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Industrial growth, clean energy generation, and pollution: evidence from top ten industrial countries

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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.

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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

  1. 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

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

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

    Article  Google Scholar 

  • Apergis N, Payne JE (2010) The emissions, energy consumption, and growth nexus: evidence from the commonwealth of independent states. Energy Policy 38:650–655

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • Frees EW (1995) Assessing cross-sectional correlation in panel data. Journal of Econometrics 69:393–414

    Article  Google Scholar 

  • Frees EW (2004) Longitudinal and panel data: analysis and applications in the social sciences. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • 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

    Article  Google Scholar 

  • Grossman G, Krueger A (1995) Economic growth and the environment. The Quarterly Journal of Economics 110:353–377

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Halicioglu F (2009) An econometric study of CO2 emissions, energy consumption, income and foreign trade in Turkey. Energy Policy 37:1156–1164

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Mikayilov JI, Galeotti M, Hasanov FJ (2018) The impact of economic growth on CO2 emissions in Azerbaijan. Journal of Clean Production 197:1558–1572

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • Park JY (1992) Canonical cointegrating regressions. Econometrica 60:119–143

    Article  Google Scholar 

  • Pedroni P (2001) Purchasing power parity tests in cointegrated panels. The Review of Economics and Statistics. 83:727–731

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • Waheed R, Chang D, Sarwar S, Chen W (2018) Forest, agriculture, clean energy, and CO2 emission. Journal of Cleaner Production. 172:4231–4238

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • 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

    Article  Google Scholar 

  • Westerlund J (2007) Testing for error correction in panel data. Oxford Bulletin of Economics and Statistics 69:709–748

    Article  Google Scholar 

  • 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

    Article  CAS  Google Scholar 

  • Zhou X, Zhang J, Li J (2013) Industrial structural transformation and carbon dioxide emissions in China. Energy Policy 57:43–51

    Article  CAS  Google Scholar 

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Montassar Kahia: introduction, literature review, concept-building, and data. Mehdi Ben Jebli: methods, analysis, discussion, conclusion, and implications.

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Correspondence to Mehdi Ben Jebli.

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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

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