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GMO-free regions in Europe : an analysis of diffusion patterns

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2016

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Journal of Risk Research. 2016, 19(6), pp. 743-759. ISSN 1366-9877. eISSN 1466-4461. Available under: doi: 10.1080/13669877.2015.1034161

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Genetically modified organisms (GMOs) have been a controversial issue in the European Union (EU). A growing number of member states and regions within the member states oppose the EU’s agro-biotechnology policy, resulting in a complex multi-level structure of policy-making. This study is interested in the regional opposition to GMOs and scrutinises the determinants of membership in the European Network of GMO-free Regions. In terms of theory, this study builds on the literature of policy diffusion. For the analytical purpose, we distinguish among four diffusion mechanisms: learning from earlier adopters, economic competition among proximate regions, imitation of economically powerful regions and deviation from national law. Our research questions are the following: How has membership developed since the foundation of the network? Which mechanisms explain the diffusion patterns observed? The empirical findings show that membership in the network has grown substantially between 2003 and 2014, which supports the general expectation that there is a diffusion of GMO-free regions. Yet, most new member regions are located in the same member states as the regions that founded the network. In other words, what is observed is intra-country diffusion rather than inter-country diffusion. The empirical findings provide support for the importance of learning from earlier adopters for the growing of the European Network of GMO-free Regions.

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ISO 690TOSUN, Jale, Susumu SHIKANO, 2016. GMO-free regions in Europe : an analysis of diffusion patterns. In: Journal of Risk Research. 2016, 19(6), pp. 743-759. ISSN 1366-9877. eISSN 1466-4461. Available under: doi: 10.1080/13669877.2015.1034161
BibTex
@article{Tosun2016-07-02GMOfr-31194,
  year={2016},
  doi={10.1080/13669877.2015.1034161},
  title={GMO-free regions in Europe : an analysis of diffusion patterns},
  number={6},
  volume={19},
  issn={1366-9877},
  journal={Journal of Risk Research},
  pages={743--759},
  author={Tosun, Jale and Shikano, Susumu}
}
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