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Technology Diffusion through Networks - Adoption of automatic milking systems in Germany

Author

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  • Hunecke, C.
  • Meyer, S.
  • Brummer, B.
Abstract
As information about availability and suitability of innovation is one of the key factors in the diffusion and adoption of agricultural technology, its transmission is of crucial importance. Farming neighbors are often mentioned as the most significant origin of knowledge. However, various sources, like extension services, technology providing companies or other stakeholders are also possible in case of adoption of automatic milking systems in Germany. One instrument in describing the flow of information are social networks by defining links between different agents through which it can spread from one to another. Thus, different network structures, like a neighborhood network, a sales structure network, a dairy factory network and two extension service networks, are created to analyze their impact and performance in the process of diffusion and adoption of technology by displaying information transmission patterns originated from different sources to the farmers. For measurement, the endemic-epidemic hhh4 model for surveillance data is applied to capture the dynamic contagious process of diffusion. Regarding the performance, the neighborhood network provides the best fit for explaining the adoption of technology. Furthermore, the sales structure of the manufacturer also plays an important role in the distribution. In contrast, German consultation centers are less relevant. Acknowledgement :

Suggested Citation

  • Hunecke, C. & Meyer, S. & Brummer, B., 2018. "Technology Diffusion through Networks - Adoption of automatic milking systems in Germany," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277543, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae18:277543
    DOI: 10.22004/ag.econ.277543
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    1. repec:cup:cbooks:9780511771576 is not listed on IDEAS
    2. Lori Beaman & Ariel BenYishay & Jeremy Magruder & Ahmed Mushfiq Mobarak, 2021. "Can Network Theory-Based Targeting Increase Technology Adoption?," American Economic Review, American Economic Association, vol. 111(6), pages 1918-1943, June.
    3. Meyer, Sebastian & Held, Leonhard & Höhle, Michael, 2017. "Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 77(i11).
    4. Wollni, Meike & Andersson, Camilla, 2014. "Spatial patterns of organic agriculture adoption: Evidence from Honduras," Ecological Economics, Elsevier, vol. 97(C), pages 120-128.
    5. Michael E. Porter, 2000. "Location, Competition, and Economic Development: Local Clusters in a Global Economy," Economic Development Quarterly, , vol. 14(1), pages 15-34, February.
    6. Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
    7. Johannes Sauer & David Zilberman, 2012. "Sequential technology implementation, network externalities, and risk: the case of automatic milking systems," Agricultural Economics, International Association of Agricultural Economists, vol. 43(3), pages 233-252, May.
    8. Larue, Solène & Latruffe, Laure, 2009. "Agglomeration externalities and technical efficiency in French pig production," Working Papers 210403, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    9. Paul Diederen & Hans Van Meijl & Arjan Wolters & Katarzyna Bijak, 2003. "Innovation adoption in agriculture : innovators, early adopters and laggards," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 67, pages 29-50.
    10. Michael Fritsch & Martina Kauffeld-Monz, 2010. "The impact of network structure on knowledge transfer: an application of social network analysis in the context of regional innovation networks," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 44(1), pages 21-38, February.
    11. Baptista, Rui, 2000. "Do innovations diffuse faster within geographical clusters?," International Journal of Industrial Organization, Elsevier, vol. 18(3), pages 515-535, April.
    12. David J. Lewis & Bradford L. Barham & Brian Robinson, 2011. "Are There Spatial Spillovers in the Adoption of Clean Technology? The Case of Organic Dairy Farming," Land Economics, University of Wisconsin Press, vol. 87(2), pages 250-267.
    13. Läpple, Doris & Renwick, Alan & Thorne, Fiona, 2015. "Measuring and understanding the drivers of agricultural innovation: Evidence from Ireland," Food Policy, Elsevier, vol. 51(C), pages 1-8.
    14. Meade, Nigel & Islam, Towhidul, 2006. "Modelling and forecasting the diffusion of innovation - A 25-year review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 519-545.
    15. Xiong, Hang & Payne, Diane & Kinsella, Stephen, 2016. "Peer effects in the diffusion of innovations: Theory and simulation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 63(C), pages 1-13.
    16. Schmidtner, Eva & Lippert, Christian & Dabbert, Stephan, 2015. "Does Spatial Dependence Depend on Spatial Resolution? – An Empirical Analysis of Organic Farming in Southern Germany," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 64(03), September.
    17. Grassi, Rosanna, 2010. "Vertex centrality as a measure of information flow in Italian Corporate Board Networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(12), pages 2455-2464.
    18. Easley,David & Kleinberg,Jon, 2010. "Networks, Crowds, and Markets," Cambridge Books, Cambridge University Press, number 9780521195331, September.
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