IDEAS home Printed from https://ideas.repec.org/p/zbw/bubdps/232023.html

Capital reallocation under climate policy uncertainty

Author

Listed:
  • Khalil, Makram
  • Strobel, Felix

Abstract

In a structural dynamic model that incorporates two broad production sectors with different carbon emissions, we find that climate policy uncertainty (CPU) shocks (i) lower the market value of the highly carbon-emitting sector relative to the low carbon-emitting sector, and (ii) reduce real investment and the capital stock in the highly carbon-emitting sector, while real investment in the sector with low carbon emissions tends to fare better. To apply the theoretical predictions to the data, we employ a news article-based measure of climate policy uncertainty to identify CPU shocks as well as quarterly balance sheet data of listed firms in the United States. In line with the predictions from the theoretical model, we find that in response to CPU shocks (i) financial markets markedly revalue strongly carbon-emitting firms relative to firms with low carbon emissions, and (ii) substantial investment reallocation takes place, in particular from the manufacturing sector towards services.

Suggested Citation

  • Khalil, Makram & Strobel, Felix, 2023. "Capital reallocation under climate policy uncertainty," Discussion Papers 23/2023, Deutsche Bundesbank.
  • Handle: RePEc:zbw:bubdps:232023
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/275676/1/1857980905.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marcel P. Timmer & Bart Los & Robert Stehrer & Gaaitzen J. de Vries, 2013. "Fragmentation, incomes and jobs: an analysis of European competitiveness [Who captures value in global supply chains?]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 28(76), pages 613-661.
    2. Stockman, Alan C & Tesar, Linda L, 1995. "Tastes and Technology in a Two-Country Model of the Business Cycle: Explaining International Comovements," American Economic Review, American Economic Association, vol. 85(1), pages 168-185, March.
    3. 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).
    4. Lucas Bretschger & Susanne Soretz, 2022. "Stranded Assets: How Policy Uncertainty affects Capital, Growth, and the Environment," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 83(2), pages 261-288, October.
    5. Joëlle Noailly ; Laura Nowzohour; Matthias van den Heuvel, 2022. "Does Environmental Policy Uncertainty Hinder Investments Towards a Low-Carbon Economy?," CIES Research Paper series 74-2022, Centre for International Environmental Studies, The Graduate Institute.
    6. Böhl, Gregor & Strobel, Felix, 2020. "US business cycle dynamics at the zero lower bound," IMFS Working Paper Series 143, Goethe University Frankfurt, Institute for Monetary and Financial Stability (IMFS).
    7. Lan, Hong & Meyer-Gohde, Alexander, 2013. "Solving DSGE models with a nonlinear moving average," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2643-2667.
    8. Bouri, Elie & Iqbal, Najaf & Klein, Tony, 2022. "Climate policy uncertainty and the price dynamics of green and brown energy stocks," Finance Research Letters, Elsevier, vol. 47(PB).
    9. van der Ploeg, Frederick & Rezai, Armon & Tovar Reanos, Miguel, 2022. "Gathering support for green tax reform: Evidence from German household surveys," European Economic Review, Elsevier, vol. 141(C).
    10. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    11. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    12. Frankovic, Ivan, 2022. "The impact of carbon pricing in a multi-region production network model and an application to climate scenarios," Discussion Papers 07/2022, Deutsche Bundesbank.
    13. Khalil, Makram, 2022. "Oil prices, manufacturing goods, and nontradeable services," Journal of International Economics, Elsevier, vol. 134(C).
    14. Sydney C. Ludvigson & Sai Ma & Serena Ng, 2021. "Uncertainty and Business Cycles: Exogenous Impulse or Endogenous Response?," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(4), pages 369-410, October.
    15. Abel, Andrew B, 1983. "Optimal Investment under Uncertainty," American Economic Review, American Economic Association, vol. 73(1), pages 228-233, 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. Frankovic, Ivan & Kolb, Benedikt, 2024. "The role of emission disclosure for the low-carbon transition," European Economic Review, Elsevier, vol. 167(C).
    2. Morão, Hugo, 2025. "Uncertainty in climate policy and energy industry," Energy, Elsevier, vol. 328(C).

    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. Bandi, Federico M. & Bretscher, Lorenzo & Tamoni, Andrea, 2023. "Return predictability with endogenous growth," Journal of Financial Economics, Elsevier, vol. 150(3).
    2. Metiu, Norbert & Prieto, Esteban, 2025. "Time-varying stock return correlation, news shocks, and business cycles," European Economic Review, Elsevier, vol. 172(C).
    3. Eksi, Ozan & Onur Tas, Bedri Kamil, 2022. "Time-varying effect of uncertainty shocks on unemployment," Economic Modelling, Elsevier, vol. 110(C).
    4. Beckmann, Joscha & Davidson, Sharada Nia & Koop, Gary & Schüssler, Rainer, 2023. "Cross-country uncertainty spillovers: Evidence from international survey data," Journal of International Money and Finance, Elsevier, vol. 130(C).
    5. Lorenzo Bretscher & Alex Hsu & Andrea Tamoni, 2023. "The Real Response to Uncertainty Shocks: The Risk Premium Channel," Management Science, INFORMS, vol. 69(1), pages 119-140, January.
    6. Mumtaz, Haroon & Theodoridis, Konstantinos, 2020. "Dynamic effects of monetary policy shocks on macroeconomic volatility," Journal of Monetary Economics, Elsevier, vol. 114(C), pages 262-282.
    7. Haining Chen & Prince Asare Vitenu-Sackey & Isaac Akpemah Bathuure, 2024. "Uncertainty Measures and Business Cycles: Evidence From the US," SAGE Open, , vol. 14(2), pages 21582440241, April.
    8. Minchul Shin & Molin Zhong, 2020. "A New Approach to Identifying the Real Effects of Uncertainty Shocks," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 367-379, April.
    9. Max Breitenlechner & Martin Geiger & Daniel Gründler & Johann Scharler, 2024. "Sequencing the COVID‐19 Recession in the USA: What Were the Macroeconomic Drivers?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(1), pages 119-136, February.
    10. Stijn Claessens & M Ayhan Kose, 2017. "Asset prices and macroeconomic outcomes: a survey," BIS Working Papers 676, Bank for International Settlements.
    11. Min Fang, 2021. "Lumpy Investment, Fluctuations in Volatility and Monetary Policy," Working Papers 002001, University of Florida, Department of Economics.
    12. Salisu, Afees A. & Gupta, Rangan & Karmakar, Sayar & Das, Sonali, 2022. "Forecasting output growth of advanced economies over eight centuries: The role of gold market volatility as a proxy of global uncertainty," Resources Policy, Elsevier, vol. 75(C).
    13. Michele Piffer & Maximilian Podstawski, 2018. "Identifying Uncertainty Shocks Using the Price of Gold," Economic Journal, Royal Economic Society, vol. 128(616), pages 3266-3284, December.
    14. Schläger, Dan, 2024. "Unmasking the significance of uncertainty a case study of the German interwar economy (1919-1935)," LSE Research Online Documents on Economics 125837, London School of Economics and Political Science, LSE Library.
    15. Isoré, Marlène & Szczerbowicz, Urszula, 2017. "Disaster risk and preference shifts in a New Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 79(C), pages 97-125.
    16. Ansgar Belke & Pascal Goemans, 2021. "Uncertainty and nonlinear macroeconomic effects of fiscal policy in the US: a SEIVAR-based analysis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(4), pages 623-646, May.
    17. Balke, Nathan S. & Martínez-García, Enrique & Zeng, Zheng, 2021. "In no uncertain terms: The effect of uncertainty on credit frictions and monetary policy," Economic Modelling, Elsevier, vol. 100(C).
    18. Xiaofen Tan & Yongjiao Ma, 2017. "The impact of macroeconomic uncertainty on international commodity prices," China Finance Review International, Emerald Group Publishing Limited, vol. 7(2), pages 163-184, May.
    19. Bonciani, Dario & Roye, Björn van, 2016. "Uncertainty shocks, banking frictions and economic activity," Journal of Economic Dynamics and Control, Elsevier, vol. 73(C), pages 200-219.
    20. Stijn Claessens & M Ayhan Kose, 2018. "Frontiers of macrofinancial linkages," BIS Papers, Bank for International Settlements, number 95, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • 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

    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:zbw:bubdps:232023. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/dbbgvde.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.