IDEAS home Printed from https://ideas.repec.org/p/ags/iaae15/212042.html
   My bibliography  Save this paper

Determinants of Horizontal Milk Producer Price Integration

Author

Listed:
  • Bakucs, Zoltan
  • Ferto, Imre
  • Benedeka, Zsofia
  • Molnar, Adrienn

Abstract

This paper analyses the efficiency of EU internal dairy markets between 2000 and 2014 from spatial price integration perspective, employing a cross-methodological approach in three steps. First, we analyse the spatial integration of raw milk markets, which is often used to test the efficiency of agricultural markets. National monthly raw milk price data are tested for integration and whether the Law of One Price (LOP) holds. Second, we assess integration results in a binary choice setting, employing gravity model variables. Finally, in order to partly overcome the often cited drawback of price transmission analysis (i.e. that by employing price variables (only), there is no connection with real trade flows), bidirectional network analysis models are designed using export variables. Country specific network centrality measures were contrasted with the frequency of LOP fulfilment. Results suggest that besides the milk volume traded, the position occupied in the trade network structure should be also considered when market integration is analysed.

Suggested Citation

  • Bakucs, Zoltan & Ferto, Imre & Benedeka, Zsofia & Molnar, Adrienn, 2015. "Determinants of Horizontal Milk Producer Price Integration," 2015 Conference, August 9-14, 2015, Milan, Italy 212042, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae15:212042
    DOI: 10.22004/ag.econ.212042
    as

    Download full text from publisher

    File URL: http://ageconsearch.umn.edu/record/212042/files/Horizontal_Integration_Backus_et_al_1_.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    2. Stephan Brosig & Thomas Glauben & Linde Götz & Enno‐Burghard Weitzel & Ahmet Bayaner, 2011. "The Turkish wheat market: spatial price transmission and the impact of transaction costs," Agribusiness, John Wiley & Sons, Ltd., vol. 27(2), pages 147-161, Spring.
    3. Roberto Esposti & Giulia Listorti, 2013. "Agricultural price transmission across space and commodities during price bubbles," Agricultural Economics, International Association of Agricultural Economists, vol. 44(1), pages 125-139, January.
    4. Peter C. B. Phillips & Bruce E. Hansen, 1990. "Statistical Inference in Instrumental Variables Regression with I(1) Processes," Review of Economic Studies, Oxford University Press, vol. 57(1), pages 99-125.
    5. Enders, Walter & Siklos, Pierre L, 2001. "Cointegration and Threshold Adjustment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 166-176, April.
    6. Carolin Kouyaté & Stephan Cramon-Taubadel, 2016. "Distance and Border Effects on Price Transmission: A Meta-analysis," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 255-271, June.
    7. Friederike Greb & Nelissa Jamora & Carolin Mengel & Stephan von Cramon-Taubadel & Nadine Würriehausen, 2012. "Price transmission from international to domestic markets," Courant Research Centre: Poverty, Equity and Growth - Discussion Papers 125, Courant Research Centre PEG, revised 08 Oct 2012.
    8. Holst, Carsten & von Cramon-Taubadel, Stephan, 2013. "Trade, market integration and spatial price transmission on EU pork markets following Eastern enlargement," DARE Discussion Papers 1307, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    9. Zoltán Bakucs & Štefan Bojnec & Imre Fertő, 2015. "Spatial Product Market Integration between Two Small, Open Neighbouring Economies," Agribusiness, John Wiley & Sons, Ltd., vol. 31(2), pages 171-187, April.
    10. Hansen, Peter Reinhard, 2003. "Structural changes in the cointegrated vector autoregressive model," Journal of Econometrics, Elsevier, vol. 114(2), pages 261-295, June.
    11. Emma C. Stephens & Edward Mabaya & Stephan von Cramon-Taubadel & Christopher B. Barrett, 2012. "Spatial Price Adjustment with and without Trade," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(3), pages 453-469, June.
    12. Jesús Gonzalo & Jean‐Yves Pitarakis, 2006. "Threshold Effects in Cointegrating Relationships," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(s1), pages 813-833, December.
    13. Luca De Benedictis & Lucia Tajoli, 2011. "The World Trade Network," The World Economy, Wiley Blackwell, vol. 34(8), pages 1417-1454, August.
    14. Christos J. Emmanouilides & Panos Fousekis, 2015. "Assessing the Validity of the LOP in the EU Broiler Markets," Agribusiness, John Wiley & Sons, Ltd., vol. 31(1), pages 33-46, January.
    15. Goetz, Linde & von Cramon-Taubadel, Stephan, 2008. "Considering threshold effects in the long-run equilibrium in a vector error correction model: An application to the German apple market," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44247, European Association of Agricultural Economists.
    16. Giuseppe De Luca, 2008. "SNP and SML estimation of univariate and bivariate binary-choice models," Stata Journal, StataCorp LP, vol. 8(2), pages 190-220, June.
    17. De Benedictis Luca & Nenci Silvia & Santoni Gianluca & Tajoli Lucia & Vicarelli Claudio, 2014. "Network Analysis of World Trade using the BACI-CEPII Dataset," Global Economy Journal, De Gruyter, vol. 14(3-4), pages 1-57, October.
    18. Klein, Roger W & Spady, Richard H, 1993. "An Efficient Semiparametric Estimator for Binary Response Models," Econometrica, Econometric Society, vol. 61(2), pages 387-421, March.
    19. Gallant, A Ronald & Nychka, Douglas W, 1987. "Semi-nonparametric Maximum Likelihood Estimation," Econometrica, Econometric Society, vol. 55(2), pages 363-390, March.
    20. Garlaschelli, Diego & Loffredo, Maria I., 2005. "Structure and evolution of the world trade network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 355(1), pages 138-144.
    21. Listorti, Giulia & Esposti, Roberto, 2012. "Horizontal Price Transmission in Agricultural Markets: Fundamental Concepts and Open Empirical Issues," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(1), pages 1-28, April.
    22. Christopher B. Barrett, 2001. "Measuring Integration and Efficiency in International Agricultural Markets," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 23(1), pages 19-32.
    23. Zohra Bouamra-Mechemache & Roel Jongeneel & Vincent Réquillart, 2008. "Impact of a gradual increase in milk quotas on the EU dairy sector," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 35(4), pages 461-491, December.
    24. Luca De Benedictis & Lucia Tajoli, 2010. "Comparing sectoral international trade networks," Aussenwirtschaft, University of St. Gallen, School of Economics and Political Science, Swiss Institute for International Economics and Applied Economics Research, vol. 65(2), pages 167-189, June.
    25. D. Garlaschelli & M. I. Loffredo, 2005. "Structure and Evolution of the World Trade Network," Papers physics/0502066, arXiv.org, revised May 2005.
    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. Hillen, J., 2018. "Protecting the Swiss milk market from foreign price shocks: Public border protection vs. quality differentiation," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276015, International Association of Agricultural Economists.

    More about this item

    Keywords

    Agricultural and Food Policy; Food Consumption/Nutrition/Food Safety;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iaae15:212042. 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/iaaeeea.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.

    If CitEc recognized a 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.

    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.