IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v125y2023ics0140988323003195.html
   My bibliography  Save this article

Climate, wind energy, and CO2 emissions from energy production in Denmark

Author

Listed:
  • Carlini, Federico
  • Christensen, Bent Jesper
  • Datta Gupta, Nabanita
  • Santucci de Magistris, Paolo

Abstract

The dynamic relation between CO2 emissions and wind energy in Denmark is analyzed using a fractional cointegration approach, extended to accommodate covariates. The impact of climate and forces of demand on the potential of wind power production for emissions abatement is investigated. Emissions decline as temperature increases. Wind power production increases with precipitation and North Atlantic oscillations. Aggregate output matters for emissions in a manner consistent with an environmental Kuznets curve (EKC). Accounting for a seasonal trend, our main estimate of marginal CO2 emissions avoided (MEA) per MWh of wind energy produced is 0.16 tonnes, based on impulse responses. This estimate of the abatement potential of wind power is lower than values reported in the literature, but statistically significant, and robust to including climate and EKC variables. MEA is reduced by about one third by treating electricity prices as endogenous, and by one quarter by including emissions from combustion of biomass. However, formal exogeneity tests indicate that the main MEA estimate is not inflated due to left-out general equilibrium effects. Without covariates, estimated MEA is 0.07, and insignificant.

Suggested Citation

  • Carlini, Federico & Christensen, Bent Jesper & Datta Gupta, Nabanita & Santucci de Magistris, Paolo, 2023. "Climate, wind energy, and CO2 emissions from energy production in Denmark," Energy Economics, Elsevier, vol. 125(C).
  • Handle: RePEc:eee:eneeco:v:125:y:2023:i:c:s0140988323003195
    DOI: 10.1016/j.eneco.2023.106821
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988323003195
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.eneco.2023.106821?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Søren Johansen & Morten Ørregaard Nielsen, 2012. "Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model," Econometrica, Econometric Society, vol. 80(6), pages 2667-2732, November.
    2. Holtz-Eakin, Douglas & Selden, Thomas M., 1995. "Stoking the fires? CO2 emissions and economic growth," Journal of Public Economics, Elsevier, vol. 57(1), pages 85-101, May.
    3. Gene M. Grossman & Alan B. Krueger, 1995. "Economic Growth and the Environment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(2), pages 353-377.
    4. Pieralli, Simone & Ritter, Matthias & Odening, Martin, 2015. "Efficiency of wind power production and its determinants," Energy, Elsevier, vol. 90(P1), pages 429-438.
    5. Wheatley, Joseph, 2013. "Quantifying CO2 savings from wind power," Energy Policy, Elsevier, vol. 63(C), pages 89-96.
    6. Di Cosmo, Valeria & Malaguzzi Valeri, Laura, 2018. "Wind, storage, interconnection and the cost of electricity generation," Energy Economics, Elsevier, vol. 69(C), pages 1-18.
    7. Martin Leduc & H. Damon Matthews & Ramón de Elía, 2016. "Regional estimates of the transient climate response to cumulative CO2 emissions," Nature Climate Change, Nature, vol. 6(5), pages 474-478, May.
    8. Bent Jesper Christensen & Nabanita Datta Gupta & Paolo Santucci de Magistris, 2021. "Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 118-149, January.
    9. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    10. Johansen, SØren, 2008. "A Representation Theory For A Class Of Vector Autoregressive Models For Fractional Processes," Econometric Theory, Cambridge University Press, vol. 24(3), pages 651-676, June.
    11. Jurgen A. Doornik & Henrik Hansen, 2008. "An Omnibus Test for Univariate and Multivariate Normality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(s1), pages 927-939, December.
    12. Johansen, Soren, 1992. "Testing weak exogeneity and the order of cointegration in UK money demand data," Journal of Policy Modeling, Elsevier, vol. 14(3), pages 313-334, June.
    13. Valeria Di Cosmo & Laura Malaguzzi Valeri, 2018. "How Much Does Wind Power Reduce $$\text {CO}_{2}$$ CO 2 Emissions? Evidence from the Irish Single Electricity Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(3), pages 645-669, November.
    14. Federico Carlini & Paolo Santucci de Magistris, 2019. "On the Identification of Fractionally Cointegrated VAR Models With the Condition," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(1), pages 134-146, January.
    15. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    16. Abrell, Jan & Kosch, Mirjam & Rausch, Sebastian, 2019. "Carbon abatement with renewables: Evaluating wind and solar subsidies in Germany and Spain," Journal of Public Economics, Elsevier, vol. 169(C), pages 172-202.
    17. Robert S. Pindyck, 2001. "The Dynamics of Commodity Spot and Futures Markets: A Primer," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3), pages 1-30.
    18. Morten Ørregaard Nielsen & Sergei S. Shibaev, 2018. "Forecasting daily political opinion polls using the fractionally cointegrated vector auto‐regressive model," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 181(1), pages 3-33, January.
    19. Daniel T. Kaffine, Brannin J. McBee, and Jozef Lieskovsky, 2013. "Emissions Savings from Wind Power Generation in Texas," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    20. Oliveira, Tiago & Varum, Celeste & Botelho, Anabela, 2019. "Wind power and CO2 emissions in the Irish market," Energy Economics, Elsevier, vol. 80(C), pages 48-58.
    21. Kevin Novan, 2015. "Valuing the Wind: Renewable Energy Policies and Air Pollution Avoided," American Economic Journal: Economic Policy, American Economic Association, vol. 7(3), pages 291-326, August.
    22. Jacobson, Mark Z. & Delucchi, Mark A., 2011. "Providing all global energy with wind, water, and solar power, Part I: Technologies, energy resources, quantities and areas of infrastructure, and materials," Energy Policy, Elsevier, vol. 39(3), pages 1154-1169, March.
    23. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, Decembrie.
    24. Robert S. Pindyck, 1999. "The Long-Run Evolutions of Energy Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-27.
    25. Amor, Mourad Ben & Billette de Villemeur, Etienne & Pellat, Marie & Pineau, Pierre-Olivier, 2014. "Influence of wind power on hourly electricity prices and GHG emissions: Evidence that congestion matters from Ontario zonal data," MPRA Paper 53630, University Library of Munich, Germany.
    26. Joseph Cullen, 2013. "Measuring the Environmental Benefits of Wind-Generated Electricity," American Economic Journal: Economic Policy, American Economic Association, vol. 5(4), pages 107-133, November.
    27. Thomson, R. Camilla & Harrison, Gareth P. & Chick, John P., 2017. "Marginal greenhouse gas emissions displacement of wind power in Great Britain," Energy Policy, Elsevier, vol. 101(C), pages 201-210.
    28. Valeria Di Cosmo & Laura Malaguzzi Valeri, 2016. "Wind, storage, interconnection and the cost of electricity," Working Papers 2016/30, Institut d'Economia de Barcelona (IEB).
    29. Davidson, James, 2002. "A model of fractional cointegration, and tests for cointegration using the bootstrap," Journal of Econometrics, Elsevier, vol. 110(2), pages 187-212, October.
    Full references (including those not matched with items on IDEAS)

    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. Bent Jesper Christensen & Nabanita Datta Gupta & Paolo Santucci de Magistris, 2021. "Measuring the impact of clean energy production on CO2 abatement in Denmark: Upper bound estimation and forecasting," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 118-149, January.
    2. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," Discussion Papers 19/01, University of Nottingham, Granger Centre for Time Series Econometrics.
    3. Federico Carlini & Paolo Santucci de Magistris, 2019. "Resuscitating the co-fractional model of Granger (1986)," CREATES Research Papers 2019-02, Department of Economics and Business Economics, Aarhus University.
    4. Oliveira, Tiago & Varum, Celeste & Botelho, Anabela, 2019. "Econometric modeling of CO2 emissions abatement: Comparing alternative approaches," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 310-322.
    5. Bahramian, Pejman & Jenkins, Glenn P. & Milne, Frank, 2021. "The displacement impacts of wind power electricity generation: Costly lessons from Ontario," Energy Policy, Elsevier, vol. 152(C).
    6. Alexander Boca Saravia & Gabriel Rodríguez, 2022. "Presidential approval in Peru: an empirical analysis using a fractionally cointegrated VAR," Economic Change and Restructuring, Springer, vol. 55(3), pages 1973-2010, August.
    7. Oliveira, Tiago & Varum, Celeste & Botelho, Anabela, 2019. "Wind power and CO2 emissions in the Irish market," Energy Economics, Elsevier, vol. 80(C), pages 48-58.
    8. Daví-Arderius, Daniel & Sanin, María-Eugenia & Trujillo-Baute, Elisa, 2017. "CO2 content of electricity losses," Energy Policy, Elsevier, vol. 104(C), pages 439-445.
    9. Harrison Fell & Daniel T. Kaffine, 2014. "A one-two punch: Joint effects of natural gas abundance and renewables on coal-fired power plants," Working Papers 2014-10, Colorado School of Mines, Division of Economics and Business.
    10. Abbritti, Mirko & Carcel, Hector & Gil-Alana, Luis & Moreno, Antonio, 2023. "Term premium in a fractionally cointegrated yield curve," Journal of Banking & Finance, Elsevier, vol. 149(C).
    11. Filippo Beltrami & Fulvio Fontini & Monica Giulietti & Luigi Grossi, 2022. "The Zonal and Seasonal CO2 Marginal Emissions Factors for the Italian Power Market," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 381-411, October.
    12. Abrell, Jan & Kosch, Mirjam & Rausch, Sebastian, 2019. "Carbon abatement with renewables: Evaluating wind and solar subsidies in Germany and Spain," Journal of Public Economics, Elsevier, vol. 169(C), pages 172-202.
    13. Curtis, John & Lynch, Muireann Á. & Zubiate, Laura, 2016. "Carbon dioxide (CO2) emissions from electricity: The influence of the North Atlantic Oscillation," Applied Energy, Elsevier, vol. 161(C), pages 487-496.
    14. Afsin Sahin, 2019. "Loom of Symmetric Pass-Through," Economies, MDPI, vol. 7(1), pages 1-25, February.
    15. Katarzyna Łasak & Carlos Velasco, 2015. "Fractional Cointegration Rank Estimation," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 241-254, April.
    16. Gugler, Klaus & Haxhimusa, Adhurim & Liebensteiner, Mario, 2023. "Carbon pricing and emissions: Causal effects of Britain's carbon tax," Energy Economics, Elsevier, vol. 121(C).
    17. Zerrahn, Alexander, 2017. "Wind Power and Externalities," Ecological Economics, Elsevier, vol. 141(C), pages 245-260.
    18. Charles G. Renfro, 2009. "The Practice of Econometric Theory," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75571-5, July-Dece.
    19. Sepideh Dolatabadi & Morten Ørregaard Nielsen & Ke Xu, 2015. "A Fractionally Cointegrated VAR Analysis of Price Discovery in Commodity Futures Markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 339-356, April.
    20. Eduardo Rossi & Paolo Santucci de Magistris, 2009. "A No Arbitrage Fractional Cointegration Analysis Of The Range Based Volatility," CREATES Research Papers 2009-31, Department of Economics and Business Economics, Aarhus University.

    More about this item

    Keywords

    Climate; Demand; Fractional cointegration; CO2 emissions;
    All these keywords.

    JEL classification:

    • Q20 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General

    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:eee:eneeco:v:125:y:2023:i:c:s0140988323003195. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eneco .

    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.