International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 6, Issue 7 (July 2019), Pages: 36-42

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 Original Research Paper

 Title: Impact of income, trade, urbanization, and financial development on CO2 emissions in the GCC countries

 Author(s): Lassad Ben Dhiab *, Hichem Dkhili

 Affiliation(s):

 College of Business Administration (CBA), Northern Border University, Arar, Saudi Arabia

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0000-0001-5773-1494

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2019.07.005

 Abstract:

This study aims to explain the relationship between income, trade, urbanization, and financial development towards the degree of carbon dioxide emissions. The main purpose of the research is an econometric model which tries to study the interaction between the level of carbon dioxide emissions with income, trade, urbanization, and financial development. Through a study based on a sample composed of the Gulf Cooperation Council (GCC) countries. We propose an empirical investigation based on the use of econometric modeling, cointegration techniques, and the Granger causality test and the VECM. By using a panel sample composed of the Gulf Cooperation Council (GCC) countries from the period 1995 to 2016 the results prove a positive and significant long term relationship between income, trade, urbanization, and financial development and CO2 emissions. Also, the results denote that a higher level of country income and urbanization generates a high level of CO2 emissions. Afterward, financial Development had a positive effect on CO2 emission level. And finally, trade openness influences negatively the CO2 emissions. 

 © 2019 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Income, Trade, Urbanization, Financial development, CO2 emissions, GCC countries

 Article History: Received 17 January 2019, Received in revised form 3 May 2019, Accepted 3 May 2019

 Acknowledgement:

No Acknowledgement.

 Compliance with ethical standards

 Conflict of interest:  The authors declare that they have no conflict of interest.

 Citation:

 Dhiab LB and Dkhili H (2019). Impact of income, trade, urbanization, and financial development on CO2 emissions in the GCC countries. International Journal of Advanced and Applied Sciences, 6(7): 36-42

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 Tables

 Table 1 Table 2 Table 3 Table 4

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 References (29) 

  1. Ahmad N, Du L, Lu J, Wang J, Li HZ, and Hashmi MZ (2017). Modelling the CO2 emissions and economic growth in Croatia: Is there any environmental Kuznets curve?. Energy, 123: 164-172. https://doi.org/10.1016/j.energy.2016.12.106   [Google Scholar]
  2. Bekhet HA and Othman NS (2017). Impact of urbanization growth on Malaysia CO2 emissions: Evidence from the dynamic relationship. Journal of Cleaner Production, 154: 374-388. https://doi.org/10.1016/j.jclepro.2017.03.174   [Google Scholar]
  3. Bhattacharya M, Churchill SA, and Paramati SR (2017). The dynamic impact of renewable energy and institutions on economic output and CO2 emissions across regions. Renewable Energy, 111: 157-167. https://doi.org/10.1016/j.renene.2017.03.102   [Google Scholar]
  4. Boutabba MA (2014). The impact of financial development, income, energy and trade on carbon emissions: Evidence from the Indian economy. Economic Modelling, 40: 33-41. https://doi.org/10.1016/j.econmod.2014.03.005   [Google Scholar]
  5. Chang N and Li Z (2017). Decoupling the lock-in effect between economic growth and CO2 emissions by structure adjustment: A final demand perspective. Journal of Cleaner Production, 154: 94-101. https://doi.org/10.1016/j.jclepro.2017.03.128   [Google Scholar]
  6. Dasgupta S, Hong JH, Laplante B, and Mamingi N (2006). Disclosure of environmental violations and stock market in the Republic of Korea. Ecological Economics, 58(4): 759-777. https://doi.org/10.1016/j.ecolecon.2005.09.003   [Google Scholar]
  7. Dkhili H and Dhiab L (2018). The relationship between economic freedom and FDI versus economic growth: Evidence from the GCC countries. Journal of Risk and Financial Management, 11(4): 81-97. https://doi.org/10.3390/jrfm11040081   [Google Scholar]
  8. Dogan E and 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. Renewable and Sustainable Energy Reviews, 77: 239-245. https://doi.org/10.1016/j.rser.2017.03.111   [Google Scholar]
  9. Engle RF and Granger CW (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica: journal of the Econometric Society, 55: 251-276. https://doi.org/10.2307/1913236   [Google Scholar]
  10. Fan JL, Zhang YJ, and Wang B (2017). The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis. Renewable and Sustainable Energy Reviews, 75: 220-233. https://doi.org/10.1016/j.rser.2016.10.066   [Google Scholar]
  11. Grossman GM and Helpman E (1991). Trade, knowledge spillovers, and growth. European Economic Review, 35(2): 517-526. https://doi.org/10.1016/0014-2921(91)90153-A   [Google Scholar]
  12. He J, Wang S, Liu Y, Ma H, and Liu Q (2017a). Examining the relationship between urbanization and the eco-environment using a coupling analysis: Case study of Shanghai, China. Ecological Indicators, 77: 185-193. https://doi.org/10.1016/j.ecolind.2017.01.017   [Google Scholar]
  13. He Z, Xu S, Shen W, Long R, and Chen H (2017b). Impact of urbanization on energy related CO2 emission at different development levels: Regional difference in China based on panel estimation. Journal of Cleaner Production, 140: 1719-1730. https://doi.org/10.1016/j.jclepro.2016.08.155   [Google Scholar]
  14. Johansen S (1980). The Welch-James approximation to the distribution of the residual sum of squares in a weighted linear regression. Biometrika, 67(1): 85-92. https://doi.org/10.1093/biomet/67.1.85   [Google Scholar]
  15. Johansen S (1988). Statistical analysis of cointegration vector. Journal of Economic Dynamics and Control, 12(2-3): 231-254. https://doi.org/10.1016/0165-1889(88)90041-3   [Google Scholar]
  16. Johansen S and Juselius K (1990). Maximum likelihood estimation and inference on cointegration—With applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2): 169-210. https://doi.org/10.1111/j.1468-0084.1990.mp52002003.x   [Google Scholar]
  17. Liu Y, Gao C, and Lu Y (2017). The impact of urbanization on GHG emissions in China: The role of population density. Journal of Cleaner Production, 157: 299-309. https://doi.org/10.1016/j.jclepro.2017.04.138   [Google Scholar]
  18. Makido Y, Dhakal S, and Yamagata Y (2012). Relationship between urban form and CO2 emissions: Evidence from fifty Japanese cities. Urban Climate, 2: 55-67. https://doi.org/10.1016/j.uclim.2012.10.006   [Google Scholar]
  19. Ouyang X and Lin B (2017). Carbon dioxide (CO2) emissions during urbanization: A comparative study between China and Japan. Journal of Cleaner Production, 143: 356-368. https://doi.org/10.1016/j.jclepro.2016.12.102   [Google Scholar]
  20. 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): 597-625. https://doi.org/10.1017/S0266466604203073   [Google Scholar]
  21. Phillips PC and Perron P (1988). Testing for a unit root in time series regression. Biometrika, 75(2): 335-346. https://doi.org/10.1093/biomet/75.2.335   [Google Scholar]
  22. Romer P (1993). Idea gaps and object gaps in economic development. Journal of Monetary Economics, 32(3): 543-573. https://doi.org/10.1016/0304-3932(93)90029-F   [Google Scholar]
  23. Saidi K and Mbarek MB (2017). The impact of income, trade, urbanization, and financial development on CO2 emissions in 19 emerging economies. Environmental Science and Pollution Research, 24(14): 12748-12757. https://doi.org/10.1007/s11356-016-6303-3   [Google Scholar] PMid:26903128
  24. Salahuddin M, Gow J, and Ozturk I (2015). Is the long-run relationship between economic growth, electricity consumption, carbon dioxide emissions and financial development in Gulf Cooperation Council Countries robust?. Renewable and Sustainable Energy Reviews, 51: 317-326. https://doi.org/10.1016/j.rser.2015.06.005   [Google Scholar]
  25. Shahbaz M, Khan S, and Tahir MI (2013). The dynamic links between energy consumption, economic growth, financial development and trade in China: Fresh evidence from multivariate framework analysis. Energy Economics, 40: 8-21. https://doi.org/10.1016/j.eneco.2013.06.006   [Google Scholar]
  26. Shuai C, Chen X, Shen L, Jiao L, Wu Y, and Tan Y (2017). The turning points of carbon Kuznets curve: Evidences from panel and time-series data of 164 countries. Journal of Cleaner Production, 162: 1031-1047. https://doi.org/10.1016/j.jclepro.2017.06.049   [Google Scholar]
  27. Wang S, Li G, and Fang C (2018). Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels. Renewable and Sustainable Energy Reviews, 81: 2144-2159. https://doi.org/10.1016/j.rser.2017.06.025   [Google Scholar]
  28. Zhang YJ, Yi WC, and Li BW (2015). The impact of urbanization on carbon emission: Empirical evidence in Beijing. Energy Procedia, 75: 2963-2968. https://doi.org/10.1016/j.egypro.2015.07.601   [Google Scholar]
  29. Zi C, Jie W, and Hong-Bo C (2016). CO2 emissions and urbanization correlation in China based on threshold analysis. Ecological Indicators, 61: 193-201. https://doi.org/10.1016/j.ecolind.2015.09.013   [Google Scholar]