IDEAS home Printed from https://ideas.repec.org/a/agh/journl/v21y2020i2p99-125.html
   My bibliography  Save this article

Testing for the economic and environmental impacts of EU Emissions Trading System: A panel GMM approach

Author

Listed:
  • Piotr Gretszel

    (PCMI Corporation, U.S)

  • Henryk Gurgul

    (AGH University of Science and Technology)

  • £ukasz Lach

    (AGH University of Science and Technology)

  • Stefan Schleicher

    (Wegener Center for Climate and Global Change at the University of Graz)

Abstract

The COVID-19 pandemic has had a great impact on the economies of the EU, also with regard to the future of EU climate policy. The plan to rebuild and support the EU economy seems to place less emphasis on environmental issues as the main focus has been shifted to a quick economic recovery. One of the issues discussed in this context is the continued operation of the EU ETS. From this perspective, empirical research devoted to a thorough analysis of the impact of the EU ETS is of particular importance. At the same time, the current economic literature lacks any econometric analyzes devoted to the issues in question that would use detailed and reliable databases on EU ETS like the one provided by the Wegener Center for Climate and Global Change. The aim of this paper is to make a preliminary assessment of the effectiveness of the EU ETS in terms of reducing the actual emissions while preserving the economic growth of EU member states. The extensive empirical analysis is focused on examining the issues in question for different phases of the EU ETS and various groups of EU economies that vary in terms of economic development and the overall air pollutant emission.

Suggested Citation

  • Piotr Gretszel & Henryk Gurgul & £ukasz Lach & Stefan Schleicher, 2020. "Testing for the economic and environmental impacts of EU Emissions Trading System: A panel GMM approach," Managerial Economics, AGH University of Science and Technology, Faculty of Management, vol. 21(2), pages 99-125.
    • Handle: RePEc:agh:journl:v:21:y:2020:i:2:p:99-125
    as

    Download full text from publisher

    File URL: https://journals.agh.edu.pl/manage/issue/view/431/7
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Borghesi, Simone & Flori, Andrea, 2018. "EU ETS facets in the net: Structure and evolution of the EU ETS network," Energy Economics, Elsevier, vol. 75(C), pages 602-635.
    2. Hansen, Lars Peter, 1982. "Large Sample Properties of Generalized Method of Moments Estimators," Econometrica, Econometric Society, vol. 50(4), pages 1029-1054, July.
    3. 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.
    4. Stefano F. Verde & Christoph Graf & Thijs Jong and Claudio Marcantonini, 2016. "Installation entries and exits in the EU ETS industrial sector," RSCAS Working Papers 2016/19, European University Institute.
    5. Bocklet, Johanna & Hintermayer, Martin & Schmidt, Lukas & Wildgrube, Theresa, 2019. "The Reformed EU ETS - Intertemporal Emission Trading with Restricted Banking," EWI Working Papers 2019-4, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
    6. Barry Anderson & Corrado Di Maria, 2011. "Abatement and Allocation in the Pilot Phase of the EU ETS," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 48(1), pages 83-103, January.
    7. Bocklet, Johanna & Hintermayer, Martin & Schmidt, Lukas & Wildgrube, Theresa, 2019. "The reformed EU ETS - Intertemporal emission trading with restricted banking," Energy Economics, Elsevier, vol. 84(C).
    8. 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.
    9. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    10. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    11. Jurate Jaraite-Ka~ukauske and Corrado Di Maria, 2016. "Did the EU ETS Make a Difference? An Empirical Assessment Using Lithuanian Firm-Level Data," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    12. Lin, Weiming & Chen, Jianling & Zheng, Yi & Dai, Yongwu, 2019. "Effects of the EU Emission Trading Scheme on the international competitiveness of pulp-and-paper industry," Forest Policy and Economics, Elsevier, vol. 109(C).
    13. Verde, Stefano F. & Graf, Christoph & Jong, Thijs, 2019. "Installation entries and exits in the EU ETS: patterns and the delay effect of closure provisions," Energy Economics, Elsevier, vol. 78(C), pages 508-524.
    14. Cludius, Johanna & de Bruyn, Sander & Schumacher, Katja & Vergeer, Robert, 2020. "Ex-post investigation of cost pass-through in the EU ETS - an analysis for six industry sectors," Energy Economics, Elsevier, vol. 91(C).
    15. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    16. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
    17. Anderson, T. W. & Hsiao, Cheng, 1982. "Formulation and estimation of dynamic models using panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 47-82, January.
    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. Rahman, Mizanur, 2008. "The Impact of a Common Currency on East Asian Production Networks and China’s Exports Behavior," MPRA Paper 13931, University Library of Munich, Germany.
    2. Sigmund, Michael & Ferstl, Robert, 2021. "Panel vector autoregression in R with the package panelvar," The Quarterly Review of Economics and Finance, Elsevier, vol. 80(C), pages 693-720.
    3. Seidu, Ayuba & Onel, Gulcan & Moss, Charles Britt, 2018. "Impact of International Remittance on Out-Farm Labor Migration in Developing Countries: A Dynamic Panel Data Analysis," 2018 Annual Meeting, February 2-6, 2018, Jacksonville, Florida 266531, Southern Agricultural Economics Association.
    4. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    5. Youssef, Ahmed & Abonazel, Mohamed R., 2015. "Alternative GMM Estimators for First-order Autoregressive Panel Model: An Improving Efficiency Approach," MPRA Paper 68674, University Library of Munich, Germany.
    6. Demir, Caner & Cergibozan, Raif, 2020. "Does alternative energy usage converge across Oecd countries?," Renewable Energy, Elsevier, vol. 146(C), pages 559-567.
    7. Sergi Jiménez-Martín & José M. Labeaga & Majid al Sadoon, 2020. "Consistent estimation of panel data sample selection models," Working Papers 2020-06, FEDEA.
    8. Martikainen, Emmi & Schmiedel, Heiko & Takalo, Tuomas, 2015. "Convergence of European retail payments," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 81-91.
    9. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    10. Bakhat, Mohcine & Labandeira, Xavier & Labeaga, José M. & López-Otero, Xiral, 2017. "Elasticities of transport fuels at times of economic crisis: An empirical analysis for Spain," Energy Economics, Elsevier, vol. 68(S1), pages 66-80.
    11. Martin Andersson & Hans Lööf, 2009. "Learning‐by‐Exporting Revisited: The Role of Intensity and Persistence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 893-916, December.
    12. José María ARRANZ & Carlos GARCÍA SERRANO & Virginia HERNANZ, 2013. "Active labour market policies in Spain: A macroeconomic evaluation," International Labour Review, International Labour Organization, vol. 152(2), pages 327-348, June.
    13. Maurice J.G. Bun & Sarafidis, V., 2013. "Dynamic Panel Data Models," UvA-Econometrics Working Papers 13-01, Universiteit van Amsterdam, Dept. of Econometrics.
    14. Schneider, Sophie Therese, 2018. "North-South trade agreements and the quality of institutions: Panel data evidence," Hohenheim Discussion Papers in Business, Economics and Social Sciences 27-2018, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    15. Binder, Michael & Hsiao, Cheng & Pesaran, M. Hashem, 2005. "Estimation And Inference In Short Panel Vector Autoregressions With Unit Roots And Cointegration," Econometric Theory, Cambridge University Press, vol. 21(4), pages 795-837, August.
    16. Lorenzo Pozzi & Griet Malengier, 2007. "Certainty Equivalence and the Excess Sensitivity of Private Consumption," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1839-1848, October.
    17. Al-Jahwari, Salim Ahmed Said, 2021. "Does the Twin-Deficits doctrine apply to the Gulf Cooperation Council? A dynamic panel VAR-X model approach," MPRA Paper 111232, University Library of Munich, Germany.
    18. Martin Andersson & Hans Lööf, 2011. "Agglomeration and productivity: evidence from firm-level data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 46(3), pages 601-620, June.
    19. Silvia Fedeli & Vitantonio Mariella & Marco Onofri, 2018. "Determinants of Joblessness During the Economic Crisis: Impact of Criminality in the Italian Labour Market," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(2), pages 559-588, September.
    20. Mateo Zokalj, 2016. "The impact of population aging on public finance in the European Union," Financial Theory and Practice, Institute of Public Finance, vol. 40(4), pages 383-412.

    More about this item

    Keywords

    EU ETS; GMM; panel data;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • 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:agh:journl:v:21:y:2020:i:2:p:99-125. 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: Lukasz Lach (email available below). General contact details of provider: https://edirc.repec.org/data/wzaghpl.html .

    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.