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The impact of u.s. monetary policy on carbon emissions: evidence from a TVP-VAR model with stochastic volatility

Author

Listed:
  • Sanjay B Singh

    (Harrisburg University of Science and Technology)

Abstract

This study investigates the impact of U.S. monetary policy on carbon emissions using a Time-Varying Parameter Vector Autoregression (TVP-VAR) model with stochastic volatility, applied to quarterly data from 1973:Q1 to 2024:Q4. The findings indicate that a one percentage point increase in the interest rate leads to a reduction in emissions of 27.73 million metric tons (MMT) in 2001:Q1, 25.55 MMT in 2007:Q4, and 18.18 MMT in 2019:Q4, demonstrating a declining effect of monetary policy on emissions over time. These results highlight the evolving nature of monetary transmission and suggest that structural changes in the economy have weakened the environmental channel through which interest rate policy influences carbon outcomes. The study offers new insights for central banks seeking to align macroeconomic and climate goals.

Suggested Citation

  • Sanjay B Singh, 2025. "The impact of u.s. monetary policy on carbon emissions: evidence from a TVP-VAR model with stochastic volatility," Economics Bulletin, AccessEcon, vol. 45(1), pages 458-472.
    • Handle: RePEc:ebl:ecbull:eb-24-00317
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    1. Ben S. Bernanke & Mark Gertler & Mark Watson, 1997. "Systematic Monetary Policy and the Effects of Oil Price Shocks," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 28(1), pages 91-157.
    2. Dafermos, Yannis & Nikolaidi, Maria & Galanis, Giorgos, 2018. "Climate Change, Financial Stability and Monetary Policy," Ecological Economics, Elsevier, vol. 152(C), pages 219-234.
    3. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148, Elsevier.
    4. Warwick McKibbin & Adele Morris & Augustus J. Panton & Peter J. Wilcoxen, 2017. "Climate Change and Monetary Policy: Dealing with Disruption," CAMA Working Papers 2017-77, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    5. Jouchi Nakajima, 2011. "Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 29, pages 107-142, November.
    6. Sims, Christopher A., 1992. "Interpreting the macroeconomic time series facts : The effects of monetary policy," European Economic Review, Elsevier, vol. 36(5), pages 975-1000, June.
    7. Gregory E. Givens & Robert R. Reed, 2018. "Monetary Policy and Investment Dynamics: Evidence from Disaggregate Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 50(8), pages 1851-1878, December.
    8. Koop, Gary & Korobilis, Dimitris, 2010. "Bayesian Multivariate Time Series Methods for Empirical Macroeconomics," Foundations and Trends(R) in Econometrics, now publishers, vol. 3(4), pages 267-358, July.
    9. Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 113(3), pages 869-902.
    10. Jean-Bernard Chatelain & Andrea Generale & Ignacio Hernando & Ulf von Kalckreuth & Philip Vermeulen, 2001. "Firm Investment and Monetary Policy Transmission in the Euro Area," Working Papers 0119, Banco de España.
    11. Kilian, Lutz & Zhou, Xiaoqing, 2022. "Oil prices, exchange rates and interest rates," Journal of International Money and Finance, Elsevier, vol. 126(C).
    12. Samuel Fankhaeser & Friedel Sehlleier & Nicholas Stern, 2008. "Climate change, innovation and jobs," Climate Policy, Taylor & Francis Journals, vol. 8(4), pages 421-429, July.
    13. Marco Del Negro & Giorgio E. Primiceri, 2015. "Time Varying Structural Vector Autoregressions and Monetary Policy: A Corrigendum," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 82(4), pages 1342-1345.
    14. Sanjay B. Singh & Talal H. Alsabhan & Reem Alshagri, 2024. "Evaluating the Policy Implications of Renewable Portfolio Standards on Grid Reliability in the United States: An Instrumental Variable Quantile Analysis," Energies, MDPI, vol. 17(23), pages 1-22, December.
    15. James Cloyne & Clodomiro Ferreira & Maren Froemel & Paolo Surico, 2023. "Monetary Policy, Corporate Finance, and Investment," Journal of the European Economic Association, European Economic Association, vol. 21(6), pages 2586-2634.
    16. Md Mazharul Islam & Majed Alharthi & Md Wahid Murad, 2021. "The effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia: An ARDL investigation," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-21, April.
    17. B., Anand & Paul, Sunil, 2021. "Oil shocks and stock market: Revisiting the dynamics," Energy Economics, Elsevier, vol. 96(C).
    18. Mojon, Benoit & Smets, Frank & Vermeulen, Philip, 2002. "Investment and monetary policy in the euro area," Journal of Banking & Finance, Elsevier, vol. 26(11), pages 2111-2129, November.
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    Keywords

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    JEL classification:

    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

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