IDEAS home Printed from https://ideas.repec.org/p/ott/wpaper/2108e.html
   My bibliography  Save this paper

Online Appendix to "Energy Efficiency and Fluctuations to CO2 Emissions"

Author

Listed:
  • Soojin Jo

    (Yonsei University and Bank of Canada)

  • Lilia Karnizova

    (Department of Economics, University of Ottawa)

Abstract

This appendix provides additional information and analyses for "Energy Efficiency and Fluctuations in CO2 Emissions." Section 1 explains data sources and transformations. Section 2 covers a variety of robustness checks conducted for our baseline VAR results. Section 3 reports the results related to the analysis of emissions and energy consumption of major energy-use sectors. Specifically, section 3.1 demonstrates the impact of VAR estimation and model uncertainty on the inference from distributed lag models (DLMs). Section 3.2 reports the responses of energy consumption by sector to a negative correlation (NC) shock. Section 4 lays out a full description of the multi-sector dynamic stochastic general equilibrium model with pollution (E-DSGE model), which is used in our main text. Finally, section 5 includes additional results on the implications of weather extremes for our interpretation of NC shocks as changes in the energy efficiency of consumer products.

Suggested Citation

  • Soojin Jo & Lilia Karnizova, 2021. "Online Appendix to "Energy Efficiency and Fluctuations to CO2 Emissions"," Working Papers 2108E, University of Ottawa, Department of Economics.
    • Handle: RePEc:ott:wpaper:2108e
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10393/42706
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Baumeister, Christiane & Hamilton, James D., 2018. "Inference in structural vector autoregressions when the identifying assumptions are not fully believed: Re-evaluating the role of monetary policy in economic fluctuations," Journal of Monetary Economics, Elsevier, vol. 100(C), pages 48-65.
    2. Fischer, Carolyn & Springborn, Michael, 2011. "Emissions targets and the real business cycle: Intensity targets versus caps or taxes," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 352-366.
    3. Dissou, Yazid & Karnizova, Lilia, 2016. "Emissions cap or emissions tax? A multi-sector business cycle analysis," Journal of Environmental Economics and Management, Elsevier, vol. 79(C), pages 169-188.
    4. repec:zbw:bofrdp:2018_014 is not listed on IDEAS
    5. 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.
    6. Huynh, Bao Tan, 2016. "Macroeconomic Effects Of Energy Price Shocks On The Business Cycle," Macroeconomic Dynamics, Cambridge University Press, vol. 20(3), pages 623-642, April.
    7. Baumeister, Christiane & Hamilton, James, 2018. "Inference in Structural Vector Autoregressions When the Identifying Assumptions are Not Fully Believed: Re-evaluating the Role," CEPR Discussion Papers 12911, C.E.P.R. Discussion Papers.
    8. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    9. 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.
    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. Ren Wang & Yuxiang Bian & Han Gao & Jie Hou, 2023. "Optimal Environmental Policy for Heterogeneous Governments in China," IJERPH, MDPI, vol. 20(4), pages 1-12, February.
    2. Chan, Ying Tung & Zhao, Hong, 2023. "Optimal carbon tax rates in a dynamic stochastic general equilibrium model with a supply chain," Economic Modelling, Elsevier, vol. 119(C).
    3. Chan, Ying Tung, 2020. "Are macroeconomic policies better in curbing air pollution than environmental policies? A DSGE approach with carbon-dependent fiscal and monetary policies," Energy Policy, Elsevier, vol. 141(C).
    4. Stefano Carattini & Garth Heutel & Givi Melkadze, 2023. "Climate Policy, Financial Frictions, and Transition Risk," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 51, pages 778-794, December.
    5. Eric Jondeau & Grégory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2022. "Environmental Subsidies to Mitigate Transition risk," Working Papers hal-04159804, HAL.
    6. Ying Tung Chan, 2019. "The Environmental Impacts and Optimal Environmental Policies of Macroeconomic Uncertainty Shocks: A Dynamic Model Approach," Sustainability, MDPI, vol. 11(18), pages 1-26, September.
    7. Francesco Busato & Bruno Chiarini & Gianluigi Cisco & Maria Ferrara, 2023. "Green preferences," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(4), pages 3211-3253, April.
    8. Gibson, John & Heutel, Garth, 2023. "Pollution and labor market search externalities over the business cycle," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    9. Francesca Diluiso & Barbara Annicchiarico & Matthias Kalkuhl & Jan C. Minx, 2020. "Climate Actions and Stranded Assets: The Role of Financial Regulation and Monetary Policy," CESifo Working Paper Series 8486, CESifo.
    10. Celso Brunetti & Matteo Crosignani & Benjamin Dennis & Gurubala Kotta & Donald P. Morgan & Chaehee Shin & Ilknur Zer, 2024. "Climate-Related Financial Stability Risks for the United States: Methods and Applications," Economic Policy Review, Federal Reserve Bank of New York, vol. 30(1), pages 1-37, October.
    11. Eric Jondeau & Grégory Levieuge & Jean-Guillaume Sahuc & Gauthier Vermandel, 2023. "Environmental Subsidies to Mitigate Net-Zero Transition Costs," Working papers 910, Banque de France.
    12. Diluiso, Francesca & Annicchiarico, Barbara & Kalkuhl, Matthias & Minx, Jan C., 2021. "Climate actions and macro-financial stability: The role of central banks," Journal of Environmental Economics and Management, Elsevier, vol. 110(C).
    13. Vasilev, Aleksandar, 2018. "A Real-Business-Cycle model with pollution and environmental taxation: the case of Bulgaria," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(4), pages 441-451.
    14. Xu, Wenli & Xu, Kun & Lu, Hongyou, 2016. "Environmental Policy and China’s Macroeconomic Dynamics Under Uncertainty---Based on The NK Model with Distortionary Taxation," MPRA Paper 71314, University Library of Munich, Germany.
    15. Chan, Ying Tung, 2020. "Optimal emissions tax rates under habit formation and social comparisons," Energy Policy, Elsevier, vol. 146(C).
    16. van den Bijgaart, Inge, 2016. "Essays in environmental economics and policy," Other publications TiSEM 298bee2a-cb08-4173-9fe1-8, Tilburg University, School of Economics and Management.
    17. Busato, Francesco & Chiarini, Bruno & Cisco, Gianluigi & Ferrara, Maria, 2021. "Greta Thunberg effect and Business Cycle Dynamics: A DSGE model," MPRA Paper 110141, University Library of Munich, Germany.
    18. Chan, Ying Tung & Ji, Qiang & Zhang, Dayong, 2024. "Optimal monetary policy responses to carbon and green bubbles:A two-sector DSGE analysis," Energy Economics, Elsevier, vol. 130(C).
    19. Punzi, Maria Teresa, 2024. "The role of macroprudential policies under carbon pricing," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 858-875.
    20. Ying Tung Chan, 2019. "Optimal Environmental Tax Rate in an Open Economy with Labor Migration—An E-DSGE Model Approach," Sustainability, MDPI, vol. 11(19), pages 1-38, September.

    More about this item

    Keywords

    CO2 emissions; energy efficiency; E-DSGE; sign restrictions;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q50 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - General
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ott:wpaper:2108e. 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: Aggey Semenov (email available below). General contact details of provider: https://edirc.repec.org/data/deottca.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.