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Citizens’ self-mobilization, motivational factors, and the group of most engaged citizens: The case of a radioactive waste repository in Denmark

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  • Lyhne, Ivar
  • Aaen, Sara Bjørn
  • Nielsen, Helle
  • Kørnøv, Lone
  • Larsen, Sanne Vammen

Abstract

Citizens’ self-mobilization has received considerable attention in literature on land use policy and environmental politics. Involved in this mobilization process is a group of highly engaged citizens, which are known by a variety of names in literature and acknowledged for their role in policymaking. To better understand this group of policy actors, the paper investigates the motivational factors that lead this group of citizens to invest numerous hours in policymaking. The case of the planning process of a radioactive waste repository in Denmark is used, since this topic is a well-known policy struggle in many countries. Bringing together theoretical insight into motivational factors, empirical data from a nationwide questionnaire, and interviews with a selected group of highly engaged citizens, the study shows that the most engaged citizens have a distinct set of motivational factors dominated by their perception of unfairness, collective identity, and knowledge of the case.

Suggested Citation

  • Lyhne, Ivar & Aaen, Sara Bjørn & Nielsen, Helle & Kørnøv, Lone & Larsen, Sanne Vammen, 2018. "Citizens’ self-mobilization, motivational factors, and the group of most engaged citizens: The case of a radioactive waste repository in Denmark," Land Use Policy, Elsevier, vol. 72(C), pages 433-442.
    • Handle: RePEc:eee:lauspo:v:72:y:2018:i:c:p:433-442
    DOI: 10.1016/j.landusepol.2017.12.053
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    1. Pohl, Johannes & Rudolph, David & Lyhne, Ivar & Clausen, Niels-Erik & Aaen, Sara Bjørn & Hübner, Gundula & Kørnøv, Lone & Kirkegaard, Julia K., 2021. "Annoyance of residents induced by wind turbine obstruction lights: A cross-country comparison of impact factors," Energy Policy, Elsevier, vol. 156(C).
    2. Falcone, Pasquale Marcello & De Rosa, Salvatore Paolo, 2020. "Use of fuzzy cognitive maps to develop policy strategies for the optimization of municipal waste management: A case study of the land of fires (Italy)," Land Use Policy, Elsevier, vol. 96(C).

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