IDEAS home Printed from https://ideas.repec.org/a/spr/wirtsc/v102y2022i4d10.1007_s10273-022-3152-1.html
   My bibliography  Save this article

Wie man die Auswirkungen eines Gasembargos berechnen könnte
[How to Compute the Economic Impact of a Sudden Stop of Gas Imports from Russia]

Author

Listed:
  • Tom Krebs

    (Universität Mannheim)

Abstract

In this essay, I outline a method to compute the economic impact of a sudden stop of natural gas imports from Russia. First, I estimate the reduction in the short-run supply of natural gas for the economy and the industry sector. Second, I use model simulations to analyse the effect of a sudden import stop on the industry sectors using natural gas and the whole economy. The model should take into account the limited short-run substitution possibilities of the industry sectors using natural gas (chemical industry) and the value chain linkages of these sectors with all other sectors of the economy. The recent analysis by Bachmann et al. (2022) does not satisfy these two methodological conditions and the results should be interpreted accordingly.

Suggested Citation

  • Tom Krebs, 2022. "Wie man die Auswirkungen eines Gasembargos berechnen könnte [How to Compute the Economic Impact of a Sudden Stop of Gas Imports from Russia]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(4), pages 256-258, April.
    • Handle: RePEc:spr:wirtsc:v:102:y:2022:i:4:d:10.1007_s10273-022-3152-1
    DOI: 10.1007/s10273-022-3152-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10273-022-3152-1
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10273-022-3152-1?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daron Acemoglu & Vasco M. Carvalho & Asuman Ozdaglar & Alireza Tahbaz‐Salehi, 2012. "The Network Origins of Aggregate Fluctuations," Econometrica, Econometric Society, vol. 80(5), pages 1977-2016, September.
    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. François Geerolf, 2022. "The “Baqaee-Farhi approach” and a russian gas embargo," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(4), pages 143-165.
    2. Michael Hüther, 2022. "Das Problem des subjektiven Werturteils [The Problem of Subjective Value Judgment]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(4), pages 273-278, April.

    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. Lo Turco, Alessia & Maggioni, Daniela & Zazzaro, Alberto, 2019. "Financial dependence and growth: The role of input-output linkages," Journal of Economic Behavior & Organization, Elsevier, vol. 162(C), pages 308-328.
    2. Anja Kukuvec & Harald Oberhofer, 2020. "The Propagation of Business Expectations within the European Union," CESifo Working Paper Series 8198, CESifo.
    3. Andrés César & Guillermo Falcone, 2020. "Heterogeneous Effects of Chinese Import Competition on Chilean Manufacturing Plants," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 1-60, December.
    4. Liu, Duan & Yu, Nizhou & Wan, Hong, 2022. "Does water rights trading affect corporate investment? The role of resource allocation and risk mitigation channels," Economic Modelling, Elsevier, vol. 117(C).
    5. Molnárová, Zuzana & Reiter, Michael, 2022. "Technology, demand, and productivity: What an industry model tells us about business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 134(C).
    6. Andrew Foerster & Andreas Hornstein & Pierre-Daniel Sarte & Mark W. Watson, 2019. "Aggregate Implications of Changing Sectoral Trends," NBER Working Papers 25867, National Bureau of Economic Research, Inc.
    7. Peydró, José-Luis & Jiménez, Gabriel & Kenan, Huremovic & Moral-Benito, Enrique & Vega-Redondo, Fernando, 2020. "Production and financial networks in interplay: Crisis evidence from supplier-customer and credit registers," CEPR Discussion Papers 15277, C.E.P.R. Discussion Papers.
    8. Bahar, Dany & Rosenow, Samuel & Stein, Ernesto & Wagner, Rodrigo, 2019. "Export take-offs and acceleration: Unpacking cross-sector linkages in the evolution of comparative advantage," World Development, Elsevier, vol. 117(C), pages 48-60.
    9. MIZUNO Takayuki & SOUMA Wataru & WATANABE Tsutomu, 2015. "Buyer-Supplier Networks and Aggregate Volatility," Discussion papers 15056, Research Institute of Economy, Trade and Industry (RIETI).
    10. David Rezza Baqaee & Emmanuel Farhi, 2019. "The Macroeconomic Impact of Microeconomic Shocks: Beyond Hulten's Theorem," Econometrica, Econometric Society, vol. 87(4), pages 1155-1203, July.
    11. Vasco M. Carvalho & Basile Grassi, 2019. "Large Firm Dynamics and the Business Cycle," American Economic Review, American Economic Association, vol. 109(4), pages 1375-1425, April.
    12. Altinoglu, Levent, 2021. "The origins of aggregate fluctuations in a credit network economy," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 316-334.
    13. Hazem Krichene & Abhijit Chakraborty & Hiroyasu Inoue & Yoshi Fujiwara, 2017. "Business cycles’ correlation and systemic risk of the Japanese supplier-customer network," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-22, October.
    14. Seyit Kerimkhulle & Nataliia Obrosova & Alexander Shananin & Akylbek Tokhmetov, 2023. "Young Duality for Variational Inequalities and Nonparametric Method of Demand Analysis in Input–Output Models with Inputs Substitution: Application for Kazakhstan Economy," Mathematics, MDPI, vol. 11(19), pages 1-22, October.
    15. Chen, Zhimin & Ibragimov, Rustam, 2019. "One country, two systems? The heavy-tailedness of Chinese A- and H- share markets," Emerging Markets Review, Elsevier, vol. 38(C), pages 115-141.
    16. Allouch, Nizar, 2017. "The cost of segregation in (social) networks," Games and Economic Behavior, Elsevier, vol. 106(C), pages 329-342.
    17. Thomas J. Sargent & John Stachurski, 2022. "Economic Networks: Theory and Computation," Papers 2203.11972, arXiv.org, revised Jul 2022.
    18. David Rezza Baqaee & Emmanuel Farhi, 2018. "Macroeconomics with Heterogeneous Agents and Input-Output Networks," NBER Working Papers 24684, National Bureau of Economic Research, Inc.
    19. Erik Frohm & Vanessa Gunnella, 2021. "Spillovers in global production networks," Review of International Economics, Wiley Blackwell, vol. 29(3), pages 663-680, August.
    20. Harald Schmidbauer & Angi Roesch & Erhan Uluceviz, 2013. "Market Connectedness: Spillovers, Information Flow, and Relative Market Entropy," Koç University-TUSIAD Economic Research Forum Working Papers 1320, Koc University-TUSIAD Economic Research Forum.

    More about this item

    Keywords

    O13; P13; Q43;
    All these keywords.

    JEL classification:

    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • P13 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Cooperative Enterprises
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    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:spr:wirtsc:v:102:y:2022:i:4:d:10.1007_s10273-022-3152-1. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.