IDEAS home Printed from https://ideas.repec.org/a/ebl/ecbull/eb-17-00582.html
   My bibliography  Save this article

Oil prices, renewable energy, CO2 emissions and economic growth in OECD countries

Author

Listed:
  • Taha Zaghdoudi

    (Faculty of Law, Economics and Management of Jendouba, Tunisia)

Abstract

This paper examines the casual relationship between oil prices , renewable energy, carbon dioxide emissions and economic growth for the OECD countries over the period 1990-2015. By performing panel cointegration models, we found strong evidence of a negative and significant long-run relationship between oil prices, renewable energy and CO2 emissions. Findings indicate also that there is a quadratic long run relationship between CO2 emissions and economic growth, confirming the existence of an Environmental Kuznets Curve (EKC) for OECD countries. The Granger-causality results indicate bidirectional causality between CO2 emissions and oil prices in both short and long-run. This paper supports the view that an increase of oil prices decreases CO2 emissions in OECD countries.

Suggested Citation

  • Taha Zaghdoudi, 2017. "Oil prices, renewable energy, CO2 emissions and economic growth in OECD countries," Economics Bulletin, AccessEcon, vol. 37(3), pages 1844-1850.
    • Handle: RePEc:ebl:ecbull:eb-17-00582
    as

    Download full text from publisher

    File URL: http://www.accessecon.com/Pubs/EB/2017/Volume37/EB-17-V37-I3-P167.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    2. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    3. Hammoudeh, Shawkat & Nguyen, Duc Khuong & Sousa, Ricardo M., 2014. "Energy prices and CO2 emission allowance prices: A quantile regression approach," Energy Policy, Elsevier, vol. 70(C), pages 201-206.
    4. Managi, Shunsuke & Okimoto, Tatsuyoshi, 2013. "Does the price of oil interact with clean energy prices in the stock market?," Japan and the World Economy, Elsevier, vol. 27(C), pages 1-9.
    5. Alam, M. Shahid, 2006. "Economic Growth with Energy," MPRA Paper 1260, University Library of Munich, Germany.
    6. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    7. Henriques, Irene & Sadorsky, Perry, 2008. "Oil prices and the stock prices of alternative energy companies," Energy Economics, Elsevier, vol. 30(3), pages 998-1010, May.
    8. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    9. Katsuya Ito, 2016. "CO2 emissions, renewable and non-renewable energy consumption, and economic growth: evidence from panel data for developed countries," Economics Bulletin, AccessEcon, vol. 36(1), pages 553-559.
    10. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    11. Jacint Balaguer & Manuel Cantavella-Jordá, 2014. "The Effect of Economic Growth and Oil Price Variations on CO2 Emissions: Evidence from Spain (1874-2011)," Working Papers 2014/22, Economics Department, Universitat Jaume I, Castellón (Spain).
    12. Kumar, Surender & Managi, Shunsuke & Matsuda, Akimi, 2012. "Stock prices of clean energy firms, oil and carbon markets: A vector autoregressive analysis," Energy Economics, Elsevier, vol. 34(1), pages 215-226.
    13. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    14. Jian Chai & Youhong Zhou & Ting Liang & Limin Xing & Kin Keung Lai, 2016. "Impact of International Oil Price on Energy Conservation and Emission Reduction in China," Sustainability, MDPI, vol. 8(6), pages 1-17, May.
    15. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    16. Sadorsky, Perry, 2009. "Renewable energy consumption, CO2 emissions and oil prices in the G7 countries," Energy Economics, Elsevier, vol. 31(3), pages 456-462, May.
    17. Antonakakis, Nikolaos & Chatziantoniou, Ioannis & Filis, George, 2017. "Energy consumption, CO2 emissions, and economic growth: An ethical dilemma," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 808-824.
    18. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    19. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Elvis Dze Achuo, 2022. "The nexus between crude oil price shocks and environmental quality: empirical evidence from sub-Saharan Africa," SN Business & Economics, Springer, vol. 2(7), pages 1-15, July.
    2. Djedaiet, Aissa & Ayad, Hicham & Ben-Salha, Ousama, 2024. "Oil prices and the load capacity factor in African oil-producing OPEC members: Modeling the symmetric and asymmetric effects," Resources Policy, Elsevier, vol. 89(C).
    3. AlNemer, Hashem A. & Hkiri, Besma & Tissaoui, Kais, 2023. "Dynamic impact of renewable and non-renewable energy consumption on CO2 emission and economic growth in Saudi Arabia: Fresh evidence from wavelet coherence analysis," Renewable Energy, Elsevier, vol. 209(C), pages 340-356.
    4. Naeem, Muhammad Abubakr & Appiah, Michael & Taden, John & Amoasi, Richard & Gyamfi, Bright Akwasi, 2023. "Transitioning to clean energy: Assessing the impact of renewable energy, bio-capacity and access to clean fuel on carbon emissions in OECD economies," Energy Economics, Elsevier, vol. 127(PA).
    5. Zaghdoudi, Taha & Tissaoui, Kais & Maaloul, Mohamed Hédi & Bahou, Younès & Kammoun, Niazi, 2023. "Asymmetric connectedness between oil price, coal and renewable energy consumption in China: Evidence from Fourier NARDL approach," Energy, Elsevier, vol. 285(C).
    6. Junsong Jia & Jing Lei & Chundi Chen & Xu Song & Yexi Zhong, 2021. "Contribution of Renewable Energy Consumption to CO 2 Emission Mitigation: A Comparative Analysis from a Global Geographic Perspective," Sustainability, MDPI, vol. 13(7), pages 1-23, March.
    7. Haider Mahmood & Muhammad Shahid Hassan & Soumen Rej & Maham Furqan, 2023. "The Environmental Kuznets Curve and Renewable Energy Consumption: A Review," International Journal of Energy Economics and Policy, Econjournals, vol. 13(3), pages 279-291, May.
    8. Moataz Elshimy & Khadiga M. El-Aasar, 2020. "Carbon footprint, renewable energy, non-renewable energy, and livestock: testing the environmental Kuznets curve hypothesis for the Arab world," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(7), pages 6985-7012, October.
    9. Grzegorz Mentel & Waldemar Tarczyński & Marek Dylewski & Raufhon Salahodjaev, 2022. "Does Renewable Energy Sector Affect Industrialization-CO 2 Emissions Nexus in Europe and Central Asia?," Energies, MDPI, vol. 15(16), pages 1-12, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yongfu Huang, 2011. "Private investment and financial development in a globalized world," Empirical Economics, Springer, vol. 41(1), pages 43-56, August.
    2. Gharehgozli, Orkideh, 2021. "An empirical comparison between a regression framework and the Synthetic Control Method," The Quarterly Review of Economics and Finance, Elsevier, vol. 81(C), pages 70-81.
    3. Scott, K. Rebecca, 2011. "Demand and price volatility: rational habits in international gasoline demand," CUDARE Working Papers 121931, University of California, Berkeley, Department of Agricultural and Resource Economics.
    4. Alessio Ciarlone, 2019. "The relationship between financial development and growth: the case of emerging Europe," Questioni di Economia e Finanza (Occasional Papers) 521, Bank of Italy, Economic Research and International Relations Area.
    5. Ardeshiri, Mansour & Moghaddasi, Reza & Yazdani, Saeed & Mohamadinejad, Amir, 2019. "Trade Openness and Spatial Distribution of Manufacturing Industries: Iranian Provincial Evidence," Asian Journal of Applied Economics/ Applied Economics Journal, Kasetsart University, Faculty of Economics, Center for Applied Economic Research, vol. 26(1), pages 21-44, June.
    6. Chen, Ping-Yu & Chen, Sheng-Tung & Hsu, Chia-Sheng & Chen, Chi-Chung, 2016. "Modeling the global relationships among economic growth, energy consumption and CO2 emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 420-431.
    7. Jaunky, Vishal Chandr, 2011. "The CO2 emissions-income nexus: Evidence from rich countries," Energy Policy, Elsevier, vol. 39(3), pages 1228-1240, March.
    8. Ronald MacDonald & Flávio Vieira, "undated". "A panel data investigation of real exchange rate misalignment and growth," Working Papers 2010_13, Business School - Economics, University of Glasgow.
    9. Dincecco, Mark & Katz, Gabriel, 2012. "State Capacity and Long-Run Performance," MPRA Paper 38299, University Library of Munich, Germany.
    10. Lee, Chien-Chiang & Chiu, Yi-Bin, 2011. "Oil prices, nuclear energy consumption, and economic growth: New evidence using a heterogeneous panel analysis," Energy Policy, Elsevier, vol. 39(4), pages 2111-2120, April.
    11. T. Gries & M. Redlin, 2020. "Trade and economic development: global causality and development- and openness-related heterogeneity," International Economics and Economic Policy, Springer, vol. 17(4), pages 923-944, October.
    12. Magnani, Natalia & Vaona, Andrea, 2013. "Regional spillover effects of renewable energy generation in Italy," Energy Policy, Elsevier, vol. 56(C), pages 663-671.
    13. Ferreira, Cândida, 2020. "Globalisation and Economic Growth: A Panel Data Approach," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 73(2), pages 187-236.
    14. Sloboda, Brian W. & Sissoko, Yaya, 2020. "Determinants of Economic Growth in ECOWAS Countries: An Empirical Investigation," African Journal of Economic Review, African Journal of Economic Review, vol. 8(2), July.
    15. Bernard Njindan Iyke, 2018. "The real effect of currency misalignment on productivity growth: evidence from middle-income economies," Empirical Economics, Springer, vol. 55(4), pages 1637-1659, December.
    16. Sung, Bongsuk & Song, Woo-Yong & Park, Sang-Do, 2018. "How foreign direct investment affects CO2 emission levels in the Chinese manufacturing industry: Evidence from panel data," Economic Systems, Elsevier, vol. 42(2), pages 320-331.
    17. Peñasco, Cristina & del Río, Pablo & Romero-Jordán, Desiderio, 2017. "Gas and electricity demand in Spanish manufacturing industries: An analysis using homogeneous and heterogeneous estimators," Utilities Policy, Elsevier, vol. 45(C), pages 45-60.
    18. Juan Carlos Aquino & N. R. Ramírez-Rondán, 2020. "Estimating factor shares from nonstationary panel data," Empirical Economics, Springer, vol. 58(5), pages 2353-2380, May.
    19. Sadorsky, Perry, 2009. "Renewable energy consumption, CO2 emissions and oil prices in the G7 countries," Energy Economics, Elsevier, vol. 31(3), pages 456-462, May.
    20. Skare, Marinko & Ozturk, Ilhan & Porada-Rochoń, Małgorzata & Stjepanovic, Sasa, 2024. "Energy as the new frontier: Dynamic panel data analysis revealing energy's transformative role in economic growth and technological progress," Technological Forecasting and Social Change, Elsevier, vol. 200(C).

    More about this item

    Keywords

    Oil prices; Renewable energy; CO2 emissions; Economic growth; Panel cointegration;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q5 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ebl:ecbull:eb-17-00582. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: John P. Conley (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.