IDEAS home Printed from https://ideas.repec.org/a/sae/enejou/v43y2022i6p47-70.html

The Energy Kuznets Curve: Evidence from Developed and Developing Economies

Author

Listed:
  • Imad A. Moosa
  • Kelly Burns

Abstract

The energy environmental Kuznets curve is effectively an environmental Kuznets curve augmented by adding one or more energy-related variables. We suggest that the energy Kuznets curve (EKC) can be estimated separately from the conventional environmental Kuznets curve as a quadratic function of income. It is demonstrated that the environmental Kuznets curve implies and is implied by the EKC. The empirical results show consistently that both the environmental and EKC are valid for developed (high income) countries but not so for developing (low income) countries where the relations are positive and monotonic. The importance of considering energy consumption in conjunction with the environmental Kuznets curve is that economic growth on its own does not put an end to environmental degradation unless the underlying country is on the downward-sloping sections of both the environmental and EKC.

Suggested Citation

  • Imad A. Moosa & Kelly Burns, 2022. "The Energy Kuznets Curve: Evidence from Developed and Developing Economies," The Energy Journal, , vol. 43(6), pages 47-70, November.
    • Handle: RePEc:sae:enejou:v:43:y:2022:i:6:p:47-70
    DOI: 10.5547/01956574.43.6.imoo
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.5547/01956574.43.6.imoo
    Download Restriction: no
    File URL: https://libkey.io/10.5547/01956574.43.6.imoo?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Karimu, Amin & Brännlund, Runar, 2013. "Functional form and aggregate energy demand elasticities: A nonparametric panel approach for 17 OECD countries," Energy Economics, Elsevier, vol. 36(C), pages 19-27.
    2. Engle, R. F. & Granger, C. W. J. (ed.), 1991. "Long-Run Economic Relationships: Readings in Cointegration," OUP Catalogue, Oxford University Press, number 9780198283393.
    3. Csereklyei, Zsuzsanna & Stern, David I., 2015. "Global energy use: Decoupling or convergence?," Energy Economics, Elsevier, vol. 51(C), pages 633-641.
    4. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
    5. Imad A. Moosa, 2017. "Blaming suicide on NASA and divorce on margarine: the hazard of using cointegration to derive inference on spurious correlation," Applied Economics, Taylor & Francis Journals, vol. 49(15), pages 1483-1490, March.
    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. Weini Chen & Dejun Han & Yu Zhan & Bo Chen, 2025. "The Impact of Rural Population Decline on the Economic Efficiency of Agricultural Carbon Emissions: A Case Study of the Contiguous Karst Areas in Yunnan–Guizhou Provinces, China," Agriculture, MDPI, vol. 15(10), pages 1-25, May.
    2. Nikunj Patel & Pradeep Kautish & Muhammad Shahbaz, 2024. "Unveiling the complexities of sustainable development: An investigation of economic growth, globalization and human development on carbon emissions in 64 countries," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(4), pages 3612-3639, August.
    3. Mohammad Imdadul Haque & Mohammad Rumzi Tausif, 2024. "Examining the Energy-Growth Dynamics in Saudi Arabia: Insights and Policy Implications," International Journal of Energy Economics and Policy, Econjournals, vol. 14(6), pages 697-706, November.

    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. Jeyhun I. Mikayilov & Fakhri J. Hasanov & Carlo A. Bollino & Ceyhun Mahmudlu, 2017. "Modeling of Electricity Demand for Azerbaijan: Time-Varying Coefficient Cointegration Approach," Energies, MDPI, vol. 10(11), pages 1-12, November.
    2. Hassan B. Ghassan & Hassan R. Alhajhoj & Faruk Balli, 2022. "Bi-demographic and current account dynamics using SVAR model: evidence from Saudi Arabia," Economic Change and Restructuring, Springer, vol. 55(3), pages 1327-1363, August.
    3. Go, You-How & Lau, Wee-Yeap, 2020. "The impact of global financial crisis on informational efficiency: Evidence from price-volume relation in crude palm oil futures market," Journal of Commodity Markets, Elsevier, vol. 17(C).
    4. Stevanovic Dalibor, 2016. "Common time variation of parameters in reduced-form macroeconomic models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 20(2), pages 159-183, April.
    5. Muellbauer, John & Sinclair, Peter & Aron, Janine & Farrell, Greg, 2010. "Exchange Rate Pass-through and Monetary Policy in South Africa," CEPR Discussion Papers 8153, C.E.P.R. Discussion Papers.
    6. Hendry, David F. & Clements, Michael P., 2003. "Economic forecasting: some lessons from recent research," Economic Modelling, Elsevier, vol. 20(2), pages 301-329, March.
    7. Yap, Wei Yim & Lam, Jasmine S.L., 2006. "Competition dynamics between container ports in East Asia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(1), pages 35-51, January.
    8. Ettore Bompard & Daniele Grosso & Tao Huang & Francesco Profumo & Xianzhang Lei & Duo Li, 2018. "World Decarbonization through Global Electricity Interconnections," Energies, MDPI, vol. 11(7), pages 1-29, July.
    9. Daniel Levy, 1995. "Investment-saving comovement under endogenous fiscal policy," Open Economies Review, Springer, vol. 6(3), pages 237-254, July.
    10. Vicente Esteve & Manuel Navarro-Ibáñez & María A. Prats, 2013. "The present value model of US stock prices revisited: long-run evidence with structural breaks, 1871-2010," Working Papers 04/13, Instituto Universitario de Análisis Económico y Social.
    11. Hu, Junjie & López Cabrera, Brenda & Melzer, Awdesch, 2021. "Advanced statistical learning on short term load process forecasting," IRTG 1792 Discussion Papers 2021-020, Humboldt University of Berlin, International Research Training Group 1792 "High Dimensional Nonstationary Time Series".
    12. Paras Sachdeva & Wasim Ahmad & N. R. Bhanumurthy, 2023. "Uncovering time variation in public expenditure multipliers: new evidence," Indian Economic Review, Springer, vol. 58(2), pages 445-483, September.
    13. Erie Febrian & Aldrin Herwany, 2009. "Volatility Forecasting Models and Market Co-Integration: A Study on South-East Asian Markets," Working Papers in Economics and Development Studies (WoPEDS) 200911, Department of Economics, Padjadjaran University, revised Sep 2009.
    14. Janine Aron & John Muellbauer, 2006. "Housing Wealth, Credit Conditions and Consumption," CSAE Working Paper Series 2006-08, Centre for the Study of African Economies, University of Oxford.
    15. Marcus Box & Karl Gratzer & Xiang Lin, 2020. "Destructive entrepreneurship in the small business sector: bankruptcy fraud in Sweden, 1830–2010," Small Business Economics, Springer, vol. 54(2), pages 437-457, February.
    16. Jean Boivin & Marc P. Giannoni, 2006. "Has Monetary Policy Become More Effective?," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 445-462, August.
    17. Kelly Trinh & Bo Zhang & Chenghan Hou, 2025. "Macroeconomic real‐time forecasts of univariate models with flexible error structures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 44(1), pages 59-78, January.
    18. Kevin Lansing, 2009. "Time Varying U.S. Inflation Dynamics and the New Keynesian Phillips Curve," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 12(2), pages 304-326, April.
    19. Moosa, Imad A. & Choe, Chongwoo, 1998. "Is the Korean economy export-driven?," Economic Modelling, Elsevier, vol. 15(2), pages 237-255, April.
    20. Koo, Bonsoo & Seo, Myung Hwan, 2015. "Structural-break models under mis-specification: Implications for forecasting," Journal of Econometrics, Elsevier, vol. 188(1), pages 166-181.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:sae:enejou:v:43:y:2022:i:6:p:47-70. 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: SAGE Publications (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.