IDEAS home Printed from https://ideas.repec.org/p/atv/wpaper/1902.html
   My bibliography  Save this paper

The response of CO2 emissions to the business cycle: New evidence for the U.S

Author

Listed:
  • Torben Klarl

Abstract

This paper investigates the response of CO2 emissions to the business cycle for the U.S. on a monthly basis between 1973-2015. Using a rolling-regression approach, we find that the emissions elasticity with respect to GDP is not constant over time, irrespective which filtering method, such as the Hodrick-Prescott, the Baxter-King, the Christiano-Fitzgerald or the Butterworth filter has been employed. In order to check whether or not emissions react differently during normal and recession times, next, we employ a Markov-switching approach. We find, first, that emissions are significantly more elastic during recessions, than in normal times. Second, depending on the filtering method, we also obtain parameter estimates of the emissions elasticity above one in recession times and below one in normal times. Thus, environmental policy instruments not turning out to be sub-optimal should account for this asymmetric response of emissions due to changes in GDP.

Suggested Citation

  • Torben Klarl, 2019. "The response of CO2 emissions to the business cycle: New evidence for the U.S," Bremen Papers on Economics & Innovation 1902, University of Bremen, Faculty of Business Studies and Economics.
  • Handle: RePEc:atv:wpaper:1902
    DOI: https://doi.org/10.26092/elib/207
    as

    Download full text from publisher

    File URL: https://media.suub.uni-bremen.de/bitstream/elib/3571/1/00107732-1.pdf
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.26092/elib/207?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. Sheldon, Tamara L., 2017. "Asymmetric effects of the business cycle on carbon dioxide emissions," Energy Economics, Elsevier, vol. 61(C), pages 289-297.
    2. Doda, Baran, 2014. "Evidence on business cycles and CO2 emissions," LSE Research Online Documents on Economics 57009, London School of Economics and Political Science, LSE Library.
    3. Barbara Rossi & Atsushi Inoue, 2012. "Out-of-Sample Forecast Tests Robust to the Choice of Window Size," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 432-453, April.
    4. Heinrich, Markus & Carstensen, Kai & Reif, Magnus & Wolters, Maik, 2017. "Predicting Ordinary and Severe Recessions with a Three-State Markov-Switching Dynamic Factor Model. An Application to the German Business Cycle," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168206, Verein für Socialpolitik / German Economic Association.
    5. Doda, Baran, 2014. "Evidence on business cycles and CO2 emissions," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 214-227.
    6. Calderon, Cesar & Chong, Alberto & Stein, Ernesto, 2007. "Trade intensity and business cycle synchronization: Are developing countries any different?," Journal of International Economics, Elsevier, vol. 71(1), pages 2-21, March.
    7. Cohen, Gail & Jalles, Joao Tovar & Loungani, Prakash & Marto, Ricardo & Wang, Gewei, 2019. "Decoupling of emissions and GDP: Evidence from aggregate and provincial Chinese data," Energy Economics, Elsevier, vol. 77(C), pages 105-118.
    8. Marianne Baxter & Robert G. King, 1999. "Measuring Business Cycles: Approximate Band-Pass Filters For Economic Time Series," The Review of Economics and Statistics, MIT Press, vol. 81(4), pages 575-593, November.
    9. Artis, Michael J & Zhang, W, 1997. "International Business Cycles and the ERM: Is There a European Business Cycle?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 2(1), pages 1-16, January.
    10. Klarl, Torben, 2016. "Pollution externalities, endogenous health and the speed of convergence in an endogenous growth model," Journal of Macroeconomics, Elsevier, vol. 50(C), pages 98-113.
    11. Lawrence J. Christiano & Terry J. Fitzgerald, 2003. "The Band Pass Filter," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 44(2), pages 435-465, May.
    12. Doornik, Jurgen A., 2013. "A Markov-switching model with component structure for US GNP," Economics Letters, Elsevier, vol. 118(2), pages 265-268.
    13. Carstensen, Kai & Heinrich, Markus & Reif, Magnus & Wolters, Maik H., 2020. "Predicting ordinary and severe recessions with a three-state Markov-switching dynamic factor model," International Journal of Forecasting, Elsevier, vol. 36(3), pages 829-850.
    14. Michael Massmann & James Mitchell, 2005. "Reconsidering the Evidence: Are Euro Area Business Cycles Converging?," Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2004(3), pages 275-307.
    15. Carolyn Fischer & Garth Heutel, 2013. "Environmental Macroeconomics: Environmental Policy, Business Cycles, and Directed Technical Change," Annual Review of Resource Economics, Annual Reviews, vol. 5(1), pages 197-210, June.
    16. Garth Heutel, 2012. "How Should Environmental Policy Respond to Business Cycles? Optimal Policy under Persistent Productivity Shocks," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 15(2), pages 244-264, April.
    17. Canova, Fabio, 1998. "Detrending and business cycle facts: A user's guide," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 533-540, May.
    18. Canova, Fabio, 1998. "Detrending and business cycle facts," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 475-512, May.
    19. Chevallier Julien & Goutte Stéphane, 2017. "On the estimation of regime-switching Lévy models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(1), pages 3-29, February.
    20. Morten O. Ravn & Harald Uhlig, 2002. "On adjusting the Hodrick-Prescott filter for the frequency of observations," The Review of Economics and Statistics, MIT Press, vol. 84(2), pages 371-375.
    21. Jing Cynthia Wu & Fan Dora Xia, 2016. "Measuring the Macroeconomic Impact of Monetary Policy at the Zero Lower Bound," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 48(2-3), pages 253-291, March.
    22. Christopher Ruhm, 2007. "A healthy economy can break your heart," Demography, Springer;Population Association of America (PAA), vol. 44(4), pages 829-848, November.
    23. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    24. Anna Grodecka & Karlygash Kuralbayeva, 2014. "The Price vs Quantity debate: climate policy and the role of business cycles," OxCarre Working Papers 137, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
    25. Baran Doda, 2013. "Emissions-GDP Relationship in Times of Growth and Decline," GRI Working Papers 116, Grantham Research Institute on Climate Change and the Environment.
    26. Kim, Chang-Jin, 1994. "Dynamic linear models with Markov-switching," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 1-22.
    27. Annicchiarico, Barbara & Di Dio, Fabio, 2015. "Environmental policy and macroeconomic dynamics in a new Keynesian model," Journal of Environmental Economics and Management, Elsevier, vol. 69(C), pages 1-21.
    28. Ferrara, Laurent, 2003. "A three-regime real-time indicator for the US economy," Economics Letters, Elsevier, vol. 81(3), pages 373-378, December.
    29. Ruhm, Christopher J., 2003. "Good times make you sick," Journal of Health Economics, Elsevier, vol. 22(4), pages 637-658, July.
    30. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    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. Klarl, Torben, 2020. "The response of CO2 emissions to the business cycle: New evidence for the U.S," Energy Economics, Elsevier, vol. 85(C).
    2. Doda, Baran, 2014. "Evidence on business cycles and CO2 emissions," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 214-227.
    3. Lake, James & Linask, Maia K., 2016. "Could tariffs be pro-cyclical?," Journal of International Economics, Elsevier, vol. 103(C), pages 124-146.
    4. Jakob De Haan & Robert Inklaar & Richard Jong‐A‐Pin, 2008. "Will Business Cycles In The Euro Area Converge? A Critical Survey Of Empirical Research," Journal of Economic Surveys, Wiley Blackwell, vol. 22(2), pages 234-273, April.
    5. Benoit Dicharry & Lubica Stiblarova, 2023. "Positive externalities of the EU cohesion policy: Toward more synchronised CEE countries?," International Economics and Economic Policy, Springer, vol. 20(3), pages 485-508, July.
    6. Calcagnini, Giorgio & Travaglini, Giuseppe, 2014. "A time series analysis of labor productivity. Italy versus the European countries and the U.S," Economic Modelling, Elsevier, vol. 36(C), pages 622-628.
    7. Doda, Baran & Quemin, Simon & Taschini, Luca, 2019. "Linking permit markets multilaterally," Journal of Environmental Economics and Management, Elsevier, vol. 98(C).
    8. Heer, Burkhard & Süssmuth, Bernd, 2013. "Tax bracket creep and its effects on income distribution," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 393-408.
    9. Saini, Seema & Ahmad, Wasim & Bekiros, Stelios, 2021. "Understanding the credit cycle and business cycle dynamics in India," International Review of Economics & Finance, Elsevier, vol. 76(C), pages 988-1006.
    10. Papież, Monika & Śmiech, Sławomir & Frodyma, Katarzyna, 2022. "Does the European Union energy policy support progress in decoupling economic growth from emissions?," Energy Policy, Elsevier, vol. 170(C).
    11. Konstantakopoulou, Ioanna & Tsionas, Efthymios G., 2014. "Half a century of empirical evidence of business cycles in OECD countries," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 389-409.
    12. Jalles, Joao Tovar & Ge, Jun, 2020. "Emissions and economic development in commodity exporting countries," Energy Economics, Elsevier, vol. 85(C).
    13. Baran Doda & Simon Quemin & Luca Taschini, 2017. "A Theory of Gains from Trade in Multilaterally Linked ETSs," Working Papers 1706, Chaire Economie du climat.
    14. Gozgor, Giray & Tiwari, Aviral Kumar & Khraief, Naceur & Shahbaz, Muhammad, 2019. "Dependence structure between business cycles and CO2 emissions in the U.S.: Evidence from the time-varying Markov-Switching Copula models," Energy, Elsevier, vol. 188(C).
    15. Galimberti, Jaqueson K. & Moura, Marcelo L., 2016. "Improving the reliability of real-time output gap estimates using survey forecasts," International Journal of Forecasting, Elsevier, vol. 32(2), pages 358-373.
    16. Galin Petrov Stefanov, 2020. "Mundel Optimality of the Bulgarian Accession to the Euro Area," Business & Management Compass, University of Economics Varna, issue 3, pages 297-315.
    17. Álvarez, Luis J. & Gómez-Loscos, Ana, 2018. "A menu on output gap estimation methods," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 827-850.
    18. Maravall, A. & del Rio, A., 2007. "Temporal aggregation, systematic sampling, and the Hodrick-Prescott filter," Computational Statistics & Data Analysis, Elsevier, vol. 52(2), pages 975-998, October.
    19. Ageliki Anagnostou & Ioannis Panteladis & Maria Tsiapa, 2015. "Disentangling different patterns of business cycle synchronicity in the EU regions," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(3), pages 615-641, August.
    20. Lubik, Thomas A. & Matthes, Christian & Verona, Fabio, 2019. "Assessing U.S. aggregate fluctuations across time and frequencies," Bank of Finland Research Discussion Papers 5/2019, Bank of Finland.

    More about this item

    Keywords

    Business cycle; CO2 emissions; Rolling-regression; Markov-switching;
    All these keywords.

    JEL classification:

    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming
    • Q58 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Government Policy
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

    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:atv:wpaper:1902. 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: Matheus Eduardo Leusin (email available below). General contact details of provider: https://edirc.repec.org/data/iibrede.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.