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Capital reallocation under climate policy uncertainty

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. Nicholas Bloom, 2009. "The Impact of Uncertainty Shocks," Econometrica, Econometric Society, vol. 77(3), pages 623-685, May.
    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. Khalil, Makram, 2022. "Oil prices, manufacturing goods, and nontradeable services," Journal of International Economics, Elsevier, vol. 134(C).
    8. 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.
    9. Abel, Andrew B, 1983. "Optimal Investment under Uncertainty," American Economic Review, American Economic Association, vol. 73(1), pages 228-233, March.
    10. 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).
    11. 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.
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    Cited by:

    1. Frankovic, Ivan & Kolb, Benedikt, 2023. "The role of emission disclosure for the low-carbon transition," Discussion Papers 33/2023, Deutsche Bundesbank.

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    More about this item

    Keywords

    Climate policy uncertainty; production factor reallocation; firm-level investment decision; financial market valuation;
    All these 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

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