IDEAS home Printed from https://ideas.repec.org/p/ags/gewi21/317053.html
   My bibliography  Save this paper

Mikromarktstrukturen der Rohmilchautomaten in Deutschland

Author

Listed:
  • Labohm, Katharina
  • Baaken, Dominik
  • Hess, Sebastian

Abstract

Milcherzeuger*innen in Deutschland versuchen immer häufiger, sich über alternative Verkaufswege vor Niedrigpreisphasen auf dem Rohmilchmarkt zu schützen. In den letzten Jahren sind viele Betriebe in die Direktvermarktung ab Hof eingestiegen und verkaufen dort ihre Rohmilch über Verkaufsautomaten („Milchtankstellen“). Bisher liegen keine Studien vor, die sich mit dem ökonomischen Potenzial dieses Absatzweges beschäftigt haben. Vor diesem Hintergrund fand eine deutschlandweite Befragung mit 154 Automatenbetreiber*innen statt, in der erstmals Faktoren im Mikromarktumfeld der Betriebe untersucht wurden, um entscheidende Absatzfaktoren zu identifizieren. Betriebliche, soziodemographische und automatenspezifische Faktoren wurden empirisch im Hinblick auf ihren Zusammenhang mit dem Milchabsatz pro Automat überprüft. Die Ergebnisse weisen einen signifikant positiven Zusammenhang zwischen der Bevölkerungsdichte des Einzugsgebiets und der Höhe des Rohmilchabsatzes auf; die umliegende Verkehrsstruktur kann diese Beziehung ebenfalls positiv beeinflussen. Außerdem zeigt sich, dass beim Erwerb von Milch ab Hof keine Präferenz für biologisch produzierte Milch vorliegt und sich der Verkauf weiterer Hofprodukte positiv auf den Absatz des Rohmilchautomaten auswirkt.

Suggested Citation

  • Labohm, Katharina & Baaken, Dominik & Hess, Sebastian, 2021. "Mikromarktstrukturen der Rohmilchautomaten in Deutschland," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317053, German Association of Agricultural Economists (GEWISOLA).
  • Handle: RePEc:ags:gewi21:317053
    DOI: 10.22004/ag.econ.317053
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/317053/files/126-Baaken_b.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.317053?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. Horton, Nicholas J. & Kleinman, Ken P., 2007. "Much Ado About Nothing: A Comparison of Missing Data Methods and Software to Fit Incomplete Data Regression Models," The American Statistician, American Statistical Association, vol. 61, pages 79-90, February.
    2. Emberger-Klein, Agnes & Menrad, Klaus & Heider, Dominik, 2016. "Determinants of Consumers’ Willingness-to-pay for Fairly-produced, Locally Grown Dairy Products," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 65(02), June.
    3. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    4. Wille, Stefan Clemens & Spiller, Achim & von Meyer-Höfer, Marie, 2018. "Lage, Lage, Lage? Welche Rolle spielt der Standort für die landwirtschaftliche Direktvermarktung?," DARE Discussion Papers 1808, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    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. Alex Ilek & Tanya Suchoy & Nir Klein, 2006. "Estimating the premium implicit in the yields of Treasury Bills," Israel Economic Review, Bank of Israel, vol. 4(2), pages 53-83.
    2. Chang, Eric C. & Cheng, Joseph W. & Khorana, Ajay, 2000. "An examination of herd behavior in equity markets: An international perspective," Journal of Banking & Finance, Elsevier, vol. 24(10), pages 1651-1679, October.
    3. Narayan, Seema & Narayan, Paresh Kumar & Tobing, Lutzardo, 2021. "Has tourism influenced Indonesia’s current account?," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 225-237.
    4. Stephen Brown & William Goetzmann & Bing Liang & Christopher Schwarz, 2008. "Mandatory Disclosure and Operational Risk: Evidence from Hedge Fund Registration," Journal of Finance, American Finance Association, vol. 63(6), pages 2785-2815, December.
    5. Aslanidis, Nektarios & Christiansen, Charlotte, 2012. "Smooth transition patterns in the realized stock–bond correlation," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 454-464.
    6. Croce, M.M. & Nguyen, Thien T. & Raymond, S. & Schmid, L., 2019. "Government debt and the returns to innovation," Journal of Financial Economics, Elsevier, vol. 132(3), pages 205-225.
    7. Cho, Guedae & Kim, MinKyoung & Koo, Won W., 2003. "Relative Agricultural Price Changes In Different Time Horizons," 2003 Annual meeting, July 27-30, Montreal, Canada 22249, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Bansal, Ravi & Kiku, Dana & Yaron, Amir, 2016. "Risks for the long run: Estimation with time aggregation," Journal of Monetary Economics, Elsevier, vol. 82(C), pages 52-69.
    9. Antonio Rubia & Trino-Manuel Ñíguez, 2006. "Forecasting the conditional covariance matrix of a portfolio under long-run temporal dependence," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 25(6), pages 439-458.
    10. David Hirshleifer & Danling Jiang, 2010. "A Financing-Based Misvaluation Factor and the Cross-Section of Expected Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(9), pages 3401-3436.
    11. Shi, Huai-Long & Zhou, Wei-Xing, 2022. "Factor volatility spillover and its implications on factor premia," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 80(C).
    12. Bonciani, Dario, 2015. "Estimating the effects of uncertainty over the business cycle," MPRA Paper 65921, University Library of Munich, Germany.
    13. Joshy Easaw & Roberto Golinelli, 2022. "Professionals Inflation Forecasts: The Two Dimensions Of Forecaster Inattentiveness [“Sectoral and aggregate inflation dynamics in the euro area”]," Oxford Economic Papers, Oxford University Press, vol. 74(3), pages 701-720.
    14. Coudert, Virginie & Mignon, Valérie, 2013. "The “forward premium puzzle” and the sovereign default risk," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 491-511.
    15. Scalco, Paulo R. & Braga, Marcelo J., 2015. "Identification of Market Power in Bilateral Oligopoly: The Brazilian Wholesale Market of UHT Milk," 2015 Conference, August 9-14, 2015, Milan, Italy 212278, International Association of Agricultural Economists.
    16. Timo Korkeamaki & Danielle Xu, 2015. "Institutional Investors and Foreign Exchange Risk," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 5(03), pages 1-33, September.
    17. Rime, Dagfinn & Sarno, Lucio & Sojli, Elvira, 2010. "Exchange rate forecasting, order flow and macroeconomic information," Journal of International Economics, Elsevier, vol. 80(1), pages 72-88, January.
    18. Marcelo Fernandes & Breno Neri, 2010. "Nonparametric Entropy-Based Tests of Independence Between Stochastic Processes," Econometric Reviews, Taylor & Francis Journals, vol. 29(3), pages 276-306.
    19. Gu, Chen & Kurov, Alexander & Wolfe, Marketa Halova, 2018. "Relief Rallies after FOMC Announcements as a Resolution of Uncertainty," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 1-18.
    20. Cavit Pakel & Neil Shephard & Kevin Sheppard, 2009. "Nuisance parameters, composite likelihoods and a panel of GARCH models," Economics Papers 2009-W12, Economics Group, Nuffield College, University of Oxford.

    More about this item

    Keywords

    Agribusiness; Farm Management; Livestock Production/Industries;
    All these keywords.

    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:gewi21:317053. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/gewisea.html .

    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.