IDEAS home Printed from https://ideas.repec.org/a/ags/aoeisl/133229.html
   My bibliography  Save this article

International Synchronisation of the Pork Cycle

Author

Listed:
  • Holst, Carsten
  • von Cramon-Taubadel, Stephan

Abstract

The development of pork prices has been analysed since the 1920s. Well known economic concepts such as Hanau’s pork cycle or Ezekiel’s cobweb theorem are based on the empirical analysis of pork markets. We analyze whether pork price developments in different countries have become more synchronised over time. In a first stage of our analysis, annual pork price data collected by the FAO reveals much heterogeneity of pork price developments across countries. However, for some groups of countries the observed price patterns are very similar or even identical. This is especially the case for neighbouring countries with integrated pork markets, such as the members of the European Union (EU). We then compare pork price developments in Germany and the USA based on 36 years of monthly producer prices for slaughter pigs. Since the middle of the 1990s cyclical pork price movements in the USA and Germany have become increasingly synchronous. We attribute this to two developments: the fact that the USA has become a large net exporter of pork over this period, and policy reform in the EU that has strengthened the link between international and EU feed prices.

Suggested Citation

  • Holst, Carsten & von Cramon-Taubadel, Stephan, 2012. "International Synchronisation of the Pork Cycle," Acta Oeconomica et Informatica, Faculty of Economics and Management, Slovak Agricultural University in Nitra (FEM SPU);Association of Agricultural Economists in Slovakia (APES), vol. 15(1).
  • Handle: RePEc:ags:aoeisl:133229
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/133229
    Download Restriction: no

    More about this item

    Keywords

    pork cycle; cobweb theorem; cycle synchronisation; Hodrick-Prescott filter; Agribusiness; Demand and Price Analysis; Research Methods/ Statistical Methods; C22;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

    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:ags:aoeisl:133229. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/feuagsk.html .

    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.

    We have no references for this item. You can help adding them by using 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.