@article{Hunecke:277543,
      recid = {277543},
      author = {Hunecke, C. and Meyer, S. and Brummer, B.},
      title = {Technology Diffusion through Networks - Adoption of  automatic milking systems in Germany},
      address = {2018-07},
      year = {2018},
      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 : },
      url = {http://ageconsearch.umn.edu/record/277543},
      doi = {https://doi.org/10.22004/ag.econ.277543},
}