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Innovation behaviour at farm level: Selection and identification

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  • Sauer, Johannes
  • Zilberman, David

Abstract

Using a squential logit model and a mixed-effects logistic regression approach this empirical study investigates factors for the adoption of automatic milking technology (AMS) at the farm level accounting for problems of sequential sample selection and behaviour identification. The results suggest the importance of the farmer’s risk perception, significant effects of peer-group behaviour, and a positive impact of previous innovation experiences.

Suggested Citation

  • Sauer, Johannes & Zilberman, David, 2009. "Innovation behaviour at farm level: Selection and identification," 49th Annual Conference, Kiel, Germany, September 30-October 2, 2009 53276, German Association of Agricultural Economists (GEWISOLA).
    • Handle: RePEc:ags:gaae09:53276
    DOI: 10.22004/ag.econ.53276
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    2. Caroline Roussy & Aude Ridier & Karim Chaïb, 2014. "Adoption d’innovations par les agriculteurs : rôle des perceptions et des préférences," Post-Print hal-01123427, HAL.
    3. Hellberg-Bahr, A. & Steffen, N. & Spiller, A., 2012. "Unternehmensstrategie Defizite in Genossenschaftsmolkereien: Eine mitgliederbasierte Fallstudie," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 47, March.
    4. Adenle, Ademola A. & Wedig, Karin & Azadi, Hossein, 2019. "Sustainable agriculture and food security in Africa: The role of innovative technologies and international organizations," Technology in Society, Elsevier, vol. 58(C).
    5. Granoszewski, Karol & Reise, Christian & Spiller, Achim & Mußhoff, Oliver, 2009. "Entscheidungsverhalten landwirtschaftlicher Betriebsleiter bei Bioenergie-Investitionen," Department of Agricultural and Rural Development (DARE) Discussion Papers 187307, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
    6. Beer, Lara & Theuvsen, Ludwig, 2020. "Factors influencing German farmer’s decision to grow alley cropping systems as ecological focus areas: a regression analysis," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 23(4), June.
    7. Floridi, Matteo & Bartolini, Fabio & Peerlings, Jack & Polman, Nico & Viaggi, Davide, 2013. "Modelling the adoption of automatic milking systems in Noord-Holland," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 2(1), pages 1-18, April.
    8. O'Callaghan, Daniel & Hennessy, Thia & Breen, James, 2016. "Factors Associated with Extension Programme Participation: The case of discussion groups for Irish cattle farmers," 90th Annual Conference, April 4-6, 2016, Warwick University, Coventry, UK 236329, Agricultural Economics Society.
    9. OA Oyebamiji & ZS Kisava & JN Harris, 2021. "Irrigation and Productivity Empirical Insight of Farming Households in Tchien District," Current Investigations in Agriculture and Current Research, Lupine Publishers, LLC, vol. 9(2), pages 1196-1204, February.
    10. Giovanni Pino & Pierluigi Toma & Cristian Rizzo & Pier Paolo Miglietta & Alessandro M. Peluso & Gianluigi Guido, 2017. "Determinants of Farmers’ Intention to Adopt Water Saving Measures: Evidence from Italy," Sustainability, MDPI, vol. 9(1), pages 1-14, January.
    11. Hellberg-Bahr, Anneke & Steffen, Nina & Spiller, Achim, 2011. "Unternehmensstrategische Defizite in Genossenschaftsmolkereien: Eine mitgliederbasierte Fallstudie," 51st Annual Conference, Halle, Germany, September 28-30, 2011 114496, German Association of Agricultural Economists (GEWISOLA).

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    More about this item

    Keywords

    Livestock Production/Industries; Research Methods/ Statistical Methods; Risk and Uncertainty;
    All these keywords.

    JEL classification:

    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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