IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0321793.html
   My bibliography  Save this article

Energy price instability and energy efficiency: Korea’s macroeconomic framework during the COVID-19 pandemic

Author

Listed:
  • Renhong Wu
  • Yugang He
  • Zhuoqi Teng

Abstract

The pervasive effects of the COVID-19 pandemic in Korea on the daily lives of Korean citizens, as well as the nation’s economic and industrial landscape, cannot be understated. In this article, we explore the ramifications of energy price fluctuations, changes in energy efficiency, and shifts in monetary policy on the dynamic macroeconomic framework of the Korean economy during this unprecedented global crisis. Utilizing Bayesian estimation and impulse response functions, the study’s findings reveal that a surge in energy prices triggered a cascade of detrimental effects, including reductions in output, investment, employment, energy consumption, real wages, investments, real monetary holdings, and loan interest rates, while simultaneously elevating the deposit interest rate. Conversely, a positive shock to energy utilization efficiency engendered multiple favorable outcomes, such as greater output, consumption, employment, energy consumption, real wages, investment, and real money holdings, along with declines in deposit and loan interest rates. In the short term, a monetary policy shock precipitated an upswing in output, consumption, employment, energy consumption, investment, real money holdings, deposit interest rates, and loan interest rates, while exerting downward pressure on real wages. In sum, integration of these findings into the existing literature on the subject in the Korean context may significantly increase the depth and comprehensiveness of the discourse, improving our understanding of the multiple impacts of the COVID-19 pandemic on the nation’s economy.

Suggested Citation

  • Renhong Wu & Yugang He & Zhuoqi Teng, 2025. "Energy price instability and energy efficiency: Korea’s macroeconomic framework during the COVID-19 pandemic," PLOS ONE, Public Library of Science, vol. 20(4), pages 1-19, April.
  • Handle: RePEc:plo:pone00:0321793
    DOI: 10.1371/journal.pone.0321793
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0321793
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0321793&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0321793?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. Lee, Junhee & Song, Joonhyuk, 2015. "Housing and business cycles in Korea: A multi-sector Bayesian DSGE approach," Economic Modelling, Elsevier, vol. 45(C), pages 99-108.
    2. Warwick McKibbin & Roshen Fernando, 2021. "The Global Macroeconomic Impacts of COVID-19: Seven Scenarios," Asian Economic Papers, MIT Press, vol. 20(2), pages 1-30, Summer.
    3. Lombardo, Giovanni & Vestin, David, 2008. "Welfare implications of Calvo vs. Rotemberg-pricing assumptions," Economics Letters, Elsevier, vol. 100(2), pages 275-279, August.
    4. Frederic S. Mishkin, 2007. "Housing and the monetary transmission mechanism," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 359-413.
    5. Eichenbaum, Martin & Fisher, Jonas D.M., 2007. "Estimating the frequency of price re-optimization in Calvo-style models," Journal of Monetary Economics, Elsevier, vol. 54(7), pages 2032-2047, October.
    6. Pedro Linares & Xavier Labandeira, 2010. "Energy Efficiency: Economics And Policy," Journal of Economic Surveys, Wiley Blackwell, vol. 24(3), pages 573-592, July.
    7. Mark Gertler & Jordi Gali & Richard Clarida, 1999. "The Science of Monetary Policy: A New Keynesian Perspective," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1661-1707, December.
    8. James Cloyne & Clodomiro Ferreira & Paolo Surico, 2020. "Monetary Policy when Households have Debt: New Evidence on the Transmission Mechanism," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 87(1), pages 102-129.
    9. Filippini, Massimo & Hunt, Lester C., 2015. "Measurement of energy efficiency based on economic foundations," Energy Economics, Elsevier, vol. 52(S1), pages 5-16.
    10. Victor Pontines, 2021. "The real effects of loan-to-value limits: empirical evidence from Korea," Empirical Economics, Springer, vol. 61(3), pages 1311-1350, September.
    11. Juan Guerra-Salas & Markus Kirchner & Rodrigo Tranamil, 2021. "Search Frictions and the Business Cycle in a Small Open Economy DSGE Model," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 39, pages 258-279, January.
    12. Hur, Joonyoung & Rhee, Wooheon, 2020. "Multipliers of expected vs. unexpected fiscal shocks: The case of Korea," Economic Modelling, Elsevier, vol. 85(C), pages 244-254.
    13. Hooshmand Alizadeh & Milad Doostvandi & Milad Zandsalimi, 2024. "Redefining sustainable urban development: A critical analysis in the wake of COVID‐19," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(6), pages 6163-6181, December.
    14. Hamilton, James D, 1983. "Oil and the Macroeconomy since World War II," Journal of Political Economy, University of Chicago Press, vol. 91(2), pages 228-248, April.
    15. Schubert, Stefan F., 2014. "Dynamic Effects Of Oil Price Shocks And Their Impact On The Current Account," Macroeconomic Dynamics, Cambridge University Press, vol. 18(2), pages 316-337, March.
    16. Görtz, Christoph & Li, Wei & Tsoukalas, John & Zanetti, Francesco, 2023. "Vintage article: the effect of monetary policy shocks in the UK: an external instruments approach," Macroeconomic Dynamics, Cambridge University Press, vol. 27(8), pages 2270-2285, December.
    17. Choi, Jinho & Hur, Joonyoung, 2015. "An examination of macroeconomic fluctuations in Korea exploiting a Markov-switching DSGE approach," Economic Modelling, Elsevier, vol. 51(C), pages 183-199.
    18. Wang, Yunqing & Zhu, Qigui & Wu, Jun, 2019. "Oil Price Shocks, Inflation, And Chinese Monetary Policy," Macroeconomic Dynamics, Cambridge University Press, vol. 23(1), pages 1-28, January.
    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. Sara Boni & Francesco Ravazzolo, 2022. "A Structural Analysis of Unemployment-Generating Supply Shocks with an Application to the US Pharmaceutical Industry," BEMPS - Bozen Economics & Management Paper Series BEMPS94, Faculty of Economics and Management at the Free University of Bozen.
    2. Bhavesh Garg, 2023. "Effectiveness of Monetary and Fiscal Policy in Mitigating Pandemic-Induced Macroeconomic Impacts," Working Papers DP-2023-20, Economic Research Institute for ASEAN and East Asia (ERIA).
    3. Ahrens, Steffen & Hartmann, Matthias, 2014. "State-dependence vs. timedependence: An empirical multi-country investigation of price sluggishness," Kiel Working Papers 1907, Kiel Institute for the World Economy (IfW Kiel).
    4. de Miguel, Carlos & Labandeira, Xavier & Löschel, Andreas, 2015. "Frontiers in the economics of energy efficiency," Energy Economics, Elsevier, vol. 52(S1), pages 1-4.
    5. Federico Di Pace & Matthias Hertweck, 2019. "Labor Market Frictions, Monetary Policy, and Durable Goods," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 32, pages 274-304, April.
    6. Okano, Mitsuhiro, 2025. "Optimal monetary policy in a two-country New Keynesian model with deep consumption habits," Macroeconomic Dynamics, Cambridge University Press, vol. 29, pages 1-1, January.
    7. Etro, Federico & Rossi, Lorenza, 2015. "Optimal monetary policy under Calvo pricing with Bertrand competition," Journal of Macroeconomics, Elsevier, vol. 45(C), pages 423-440.
    8. Florin Bilbiie & Xavier Ragot, 2021. "Optimal Monetary Policy and Liquidity with Heterogeneous Households," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 41, pages 71-95, July.
    9. Emmanuel Apergis & Nicholas Apergis, 2021. "The impact of COVID-19 on economic growth: evidence from a Bayesian Panel Vector Autoregressive (BPVAR) model," Applied Economics, Taylor & Francis Journals, vol. 53(58), pages 6739-6751, December.
    10. Ruge-Murcia, Francisco J, 2003. "Inflation Targeting under Asymmetric Preferences," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(5), pages 763-785, October.
    11. Ozlale, Umit, 2003. "Price stability vs. output stability: tales of federal reserve administrations," Journal of Economic Dynamics and Control, Elsevier, vol. 27(9), pages 1595-1610, July.
    12. Marzioni, Stefano & Traficante, Guido, 2023. "Learning with uncertain inflation target," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 624-634.
    13. Andrea Ferrero & Richard Harrison & Benjamin Nelson, 2024. "House Price Dynamics, Optimal LTV Limits and the Liquidity Trap," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(2), pages 940-971.
    14. Bandoni, Emil & De Nora, Giorgia & Giuzio, Margherita & Ryan, Ellen & Storz, Manuela, 2025. "Institutional investors and house prices," Working Paper Series 3026, European Central Bank.
    15. Song Joonhyuk & Ryu Doojin, 2021. "Houses as Collateral and Household Debt Deleveraging in Korea," Economics - The Open-Access, Open-Assessment Journal, De Gruyter, vol. 15(1), pages 3-27, January.
    16. Frederic S. Mishkin, 2007. "Will Monetary Policy Become More of a Science?," NBER Working Papers 13566, National Bureau of Economic Research, Inc.
    17. Fadejeva, Ludmila & Kantur, Zeynep, 2023. "Wealth distribution and monetary policy," Economic Modelling, Elsevier, vol. 125(C).
    18. David I. Stern, 2010. "The Role of Energy in Economic Growth," CCEP Working Papers 0310, Centre for Climate & Energy Policy, Crawford School of Public Policy, The Australian National University.
    19. Nikolay Arefiev, 2011. "Generalized Calvo Approach," HSE Working papers WP BRP 06/EC/2011, National Research University Higher School of Economics.
    20. repec:hal:wpspec:info:hdl:2441/j75mfllkr89c8aod1nr586ksc is not listed on IDEAS
    21. 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.

    More about this item

    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:plo:pone00:0321793. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.