This study investigated the effect of Industrialization on carbon emissions through energy consumption for a panel of eight Organization of the Petroleum Exporting Countries (OPEC) and nine High Industrialised Countries over the period 1985 to 2020; the study employs the first generation and second-generation Unit root tests. The study further adopts the use of the Panel Autoregressive Distributed Lag Model, and Common Correlated Effect pooled mean group to estimate the parameters of the model for OPEC countries and High Industrialised Countries, respectively. In addition, the Dumitrescu-Hurlin Granger causality test is conducted to infer the direction of causality among the variables. The causality test result reveals that, in OPEC, energy consumed during industrial activity is not enough to cause carbon emission and carbon emission does not cause industrialisation to interact with energy consumption. Also, for highly industrialised countries, interaction of energy consumption and industrialization causes carbon emission, but carbon emission does not cause the interaction of energy consumption and industrialization. The estimated model shows that the interactive effect of Industrialization and energy consumption has no significant influence on carbon emissions in OPEC countries in the short and long run. In contrast, foreign direct investment and economic growth have a positive and significant effect on carbon emissions in the short run. However, for highly industrialised countries the study found that the interactive effect of energy industrialization and energy consumption has a positive and significant effect on carbon emissions in the short run. It is apparent from the study that energy consumption for industrial activities, particularly in highly industrialised countries, causes carbon emission and such policy makers should formulate policy that necessitate the use of green energy for industrial activities to improve environmental quality.
Citation: Ayodele Idowu, Obaika Micheal Ohikhuare, Munem Ahmad Chowdhury. Does industrialization trigger carbon emissions through energy consumption? Evidence from OPEC countries and high industrialised countries[J]. Quantitative Finance and Economics, 2023, 7(1): 165-186. doi: 10.3934/QFE.2023009
This study investigated the effect of Industrialization on carbon emissions through energy consumption for a panel of eight Organization of the Petroleum Exporting Countries (OPEC) and nine High Industrialised Countries over the period 1985 to 2020; the study employs the first generation and second-generation Unit root tests. The study further adopts the use of the Panel Autoregressive Distributed Lag Model, and Common Correlated Effect pooled mean group to estimate the parameters of the model for OPEC countries and High Industrialised Countries, respectively. In addition, the Dumitrescu-Hurlin Granger causality test is conducted to infer the direction of causality among the variables. The causality test result reveals that, in OPEC, energy consumed during industrial activity is not enough to cause carbon emission and carbon emission does not cause industrialisation to interact with energy consumption. Also, for highly industrialised countries, interaction of energy consumption and industrialization causes carbon emission, but carbon emission does not cause the interaction of energy consumption and industrialization. The estimated model shows that the interactive effect of Industrialization and energy consumption has no significant influence on carbon emissions in OPEC countries in the short and long run. In contrast, foreign direct investment and economic growth have a positive and significant effect on carbon emissions in the short run. However, for highly industrialised countries the study found that the interactive effect of energy industrialization and energy consumption has a positive and significant effect on carbon emissions in the short run. It is apparent from the study that energy consumption for industrial activities, particularly in highly industrialised countries, causes carbon emission and such policy makers should formulate policy that necessitate the use of green energy for industrial activities to improve environmental quality.
[1] | Azam A, Rafiq M, Shafique M et al. (2021) Renewable electricity generation and economic growth nexus in developing countries: An ARDL approach. Econ Res-Ekonomska Istraživanja 34: 2423–2446. https://doi.org/10.1080/1331677X.2020.1865180 doi: 10.1080/1331677X.2020.1865180 |
[2] | Akpan UF, Akpan GE (2011) The contribution of energy consumption to climate change: A feasible policy direction. Int J Energ Econ Policy 2: 21–33. |
[3] | Antoci A, Russu P, Sordi S, et al. (2014) Industrialization and environmental externalities in a Solow-type model. J Econ Dyn Control 47: 211–224. http://dx.doi.org/10.1016/j.jedc.2014.08.009 doi: 10.1016/j.jedc.2014.08.009 |
[4] | Alam MS, Alam MN, Murshed M, et al. (2022) Pathways to securing environmentally sustainable economic growth through efficient use of energy: a bootstrapped ARDL analysis. Environ Sci Pollut R 29: 50025–50039. https://doi.org/10.1007/s11356-022-19410-9 doi: 10.1007/s11356-022-19410-9 |
[5] | Alam S, Fatima A, Butt MS (2007) Sustainable development in Pakistan in the context of energy consumption demand and environmental degradation. J Asian Econ 18: 825–837. https://doi.org/10.1016/j.asieco.2007.07.005 doi: 10.1016/j.asieco.2007.07.005 |
[6] | Bekun FV, Alola AA, Sarkodie SA (2019) Toward a sustainable environment: Nexus between CO2 emissions, resource rent, renewable and nonrenewable energy in 16-EU countries. Sci Total Environ 657: 1023–1029. https://doi.org/10.1016/j.scitotenv.2018.12.104 doi: 10.1016/j.scitotenv.2018.12.104 |
[7] | Chudik A, Pesaran M, Hashem T (2013) Common Correlated Effects Estimation of Heterogeneous Dynamic Panel Data Models with Weakly Exogenous Regressors. Center for Economic Studies and ifo Institute (CESifo), Munich Working Paper, No. 4232 https://doi.org/10.2139/ssrn.2265296 |
[8] | Chudik A, Pesaran MH (2015) Common correlated effects estimation of heterogeneous dynamic panel data models with weakly exogenous regressors. J Econometrics 188: 393–420. https://doi.org/10.1016/j.jeconom.2015.03.007 doi: 10.1016/j.jeconom.2015.03.007 |
[9] | Danmaraya IA, Jakada AH, Mahmood S, et al. (2021) Heterogeneous effect of oil production on environmental degradation: panel evidence from OPEC member countries. Int J Energ Sector Manage 16: 774–793. https://doi.org/10.1108/IJESM-04-2021-0009 doi: 10.1108/IJESM-04-2021-0009 |
[10] | De V Cavalcanti T, Mohaddes K, Raissi M (2014) Commodity Price Volatility and The Sources of Growth. J Appl Econometrics. 30: 857–873. https://doi.org/10.1002/jae.2407 doi: 10.1002/jae.2407 |
[11] | Dogan E, Inglesi-Lotz R (2020) The impact of economic structure to the environmental Kuznets curve (EKC) hypothesis: evidence from European countries. Environ Sci Pollut Res 27: 12717–12724. https://doi.org/10.1007/s11356-020-07878-2 doi: 10.1007/s11356-020-07878-2 |
[12] | Friedlingstein P, O'sullivan M, Jones M, et al. (2020) Global carbon budget 2020. Earth Syst Sci Data 12: 3269–3340. https://doi.org/10.5194/essd-12-3269-2020 doi: 10.5194/essd-12-3269-2020 |
[13] | IEA (2021) Global Energy Review: CO2 Emissions in 2020, IEA, Paris. Available from: https://www.iea.org/articles/global-energy-review-co2-emissions-in-2020 |
[14] | Levin A, Lin CF, Chu CSJ (2002) Unit root tests in panel data: Asymptotic and finite-sample properties. J Econometrics 108: 1–24. https://doi.org/10.1016/S0304-4076(01)00098-7 doi: 10.1016/S0304-4076(01)00098-7 |
[15] | Li K, Lin B (2015) Impacts of urbanisation and Industrialization on energy consumption/CO 2 emissions: Does the level of development matter? Renew Sust Energ Rev 52: 1107–1122. https://doi.org/10.1016/j.rser.2015.07.185 doi: 10.1016/j.rser.2015.07.185 |
[16] | Li L, Hong X, Tang D, et al. (2016) GHG Emissions, Economic Growth and Urbanization: A Spatial Approach. Sustainability 8: 462–477. https://doi.org/10.3390/su8050462 doi: 10.3390/su8050462 |
[17] | Lin B, Omojub OE, Okonkwo JC (2015) Impact of Industrialization on CO2 emissions in Nigeria. Renew Sust Energ Rev 52: 1228–1239. https://doi.org/10.1016/j.rser.2015.07.164 doi: 10.1016/j.rser.2015.07.164 |
[18] | Liu X, Bae J (2018) Urbanization and Industrialization Impact of CO2 Emissions in China. J Clean Prod 172:178–186. https://doi.org/10.1016/j.jclepro.2017.10.156 doi: 10.1016/j.jclepro.2017.10.156 |
[19] | Lu W (2017) Greenhouse Gas Emissions, Energy Consumption and Economic Growth: A Panel Cointegration Analysis for 16 Asian Countries. Int J Env Res Public He 14: 1436–1450. https://doi.org/10.3390/ijerph14111436 doi: 10.3390/ijerph14111436 |
[20] | Magazzino C, Mele M (2022) A new machine learning algorithm to explore the CO2 emissions-energy use-economic growth trilemma. Ann Oper Res, 1–19. https://doi.org/10.1007/s10479-022-04787-0 |
[21] | Majeed M, Tauqir A (2020) Effects of Urbanization, Industrialization, Economic Growth, Energy Consumption and Financial Development on Carbon Emissions: An Extended STIRPAT Model for Heterogeneous Income Groups. Pak J Commer Soc Sci 14: 652–681. |
[22] | Manigandan P, Alam MS, Alagirisamy K, et al. (2023) Realizing the Sustainable Development Goals through technological innovation: Juxtaposing the economic and environmental effects of financial development and energy use. Environ Sci Pollut Res 30: 8239–8256. https://doi.org/10.1007/s11356-022-22692-8 doi: 10.1007/s11356-022-22692-8 |
[23] | Majeed MT, Luni T (2019) Renewable energy, water, and environmental degradation: A global panel data approach. Pak J Commer Soc Sci 13: 749–778. |
[24] | Nusair SA (2019) Oil price and inflation dynamics in the Gulf Cooperation Council countries. Energy 181: 997–1011. https://doi.org/10.1016/j.energy.2019.05.208. doi: 10.1016/j.energy.2019.05.208 |
[25] | Olivier J, Peters W (2020) Trends in global CO2 and total greenhouse gas emissions: 2020 Report. The Hague: PBL Netherlands Environmental Assessment Agency. |
[26] | OECD (2016) "Oil production", In: OECD Factbook 2015–2016: Economic, Environmental and Social Statistics, OECD Publishing, Paris. https://doi.org/10.1787/factbook-2015-44-en |
[27] | Pesaran MH, Shin Y (1999) An Autoregressive Distributed Lag Modelling Approach to Cointegration Analysis, In: Strom, S., Ed., Chapter 11 in Econometrics and Economic Theory in the 20th Century the Ragnar Frisch Centennial Symposium, Cambridge University Press, Cambridge, 371–413. https://doi.org/10.1017/CBO9781139052221.011 |
[28] | Poumanyvong P, Kaneko S (2010) Does urbanization lead to less energy use and lower CO2 emissions? A cross-country analysis. Ecol Econ 70: 434–444. https://doi.org/10.1016/j.ecolecon.2010.09.029 doi: 10.1016/j.ecolecon.2010.09.029 |
[29] | Ross L, Arrow K, Cialdini R, et al. (2016) The Climate Change Challenge and Barriers to the Exercise of Foresight Intelligence. BioScience 66: 363–370. https://doi.org/10.1093/biosci/biw025 doi: 10.1093/biosci/biw025 |
[30] | Samreen I, Majeed M (2020) Spatial econometric model of the spillover effects of financial development on carbon emissions: A global analysis. Pak J Commer Soc Sci 14: 569–202. |
[31] | Sepehrdoust H, Zamani S (2017) The Challenge of Economic Growth and Environmental Protection in Developing Economies. Iran Econ Rev 21: 865–883. |
[32] | Samargandi N, Fidrmuc J, Ghosh S (2013) Is the relationship between financial development and economic growth monotonic for middle income countries? Is there relationship between financial development and economic. Economics and Finance Working Paper Series 13-2. Available from: http://www.brunel.ac.uk/economics |
[33] | Tsani SZ (2010) Energy consumption and economic growth: A causality analysis for Greece. Energ Econ 32: 582–590. https://doi.org/10.1016/j.eneco.2009.09.007 doi: 10.1016/j.eneco.2009.09.007 |
[34] | Wang S, Li G, Fang C (2018) Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels. Renew Sust Energ Rev 81: 2144–2159. https://doi.org/10.1016/j.rser.2017.06.025 doi: 10.1016/j.rser.2017.06.025 |
[35] | Xu B, Lin B (2015) How Industrialization and Urbanization Process Impacts on CO2 Emissions in China: Evidence from Non-parametric Additive Regression Models. Energ Econ 48: 188–202. https://doi.org/10.1016/j.eneco.2015.01.005. doi: 10.1016/j.eneco.2015.01.005 |
[36] | Xiaoqing Z, Jianlan R (2011) The Relationship between Co2 Emissions and Industrial Structure Adjustment for Shandong Province. Energ Proc 5: 1121–1125. https://doi.org/10.1016/j.egypro.2011.03.197 doi: 10.1016/j.egypro.2011.03.197 |
[37] | Zhou X, Zhang J, Li J (2013) Industrial structural transformation and carbon dioxide emissions in China. Energ Policy 57: 43–51. https://doi.org/10.1016/j.egypro.2011.03.197 doi: 10.1016/j.egypro.2011.03.197 |
[38] | Zhu Z, Liu Y, Tian X, et al. (2017) CO2 emissions from the industrialization and urbanization processes in the manufacturing center Tianjin in China. J Clean Prod 168: 867–875. https://doi.org/10.1016/j.jclepro.2017.08.245 doi: 10.1016/j.jclepro.2017.08.245 |