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2 results

  • 9 - Diffusion of Protest

  • from Part III - Sources of Protest
  • Edited by Hanspeter Kriesi, European University Institute, Florence, Jasmine Lorenzini, Université de Genève, Bruno Wüest, Universität Zürich, Silja Hausermann, Université de Genève
  • Book:
    Contention in Times of Crisis
    Published online:
    13 August 2020
    Print publication:
    13 August 2020, pp 206-224

  • Summary

    This chapter contains a study of diffusion among political protests in Europe. We start from a theoretical perspective that assumes protests as inherently interdependent across countries. Hence, we link geographical proximity to the likelihood of protests and we apply a spatial panel data analysis to study this link at the European, regional and cross-border level as well as for different time periods and forms of protests. The results show that spin-off movements across the continent learn from or emulate initiator movements in many instances, but that this diffusion is largely confined to the cross-border level. As a consequence, we did not find sustained protest waves that capture the majority of European countries at once. Similarly, cross-border diffusion is also only relevant for some regions and during some time periods but not universally. It seems that the grievances and opportunity structures in different European countries are varying too much in order to support widespread and long-ranging waves of protest.

  • Population Growth and Land Use Dynamics along Urban–Rural Gradient

  • Maksym Polyakov, Daowei Zhang
  • Journal:
    Journal of Agricultural and Applied Economics / Volume 40 / Issue 2 / August 2008
    Published online by Cambridge University Press:
    26 January 2015, pp. 649-666

  • In this study we apply a spatial conditional logit model to determine factors influencing land cover change in three contiguous counties in West Georgia between 1992 and 2001 using point (pixel) based observations of land characteristics. We found that accessibility to population and population growth affect not only development of rural lands and transition between agricultural and forestry uses, but also influence changes between forest types. The model could be used to project land use–land cover change at watershed or subwatershed level and thus serve as a valuable tool for county and city planners.