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  • 1.
    Keskitalo, E. Carina H.
    et al.
    Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för geografi och ekonomisk historia.
    Nordlund, Annika
    Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för psykologi.
    Lindgren, Urban
    Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för geografi och ekonomisk historia.
    Environmental Impact Assessment as a Social Process: The Case of Nuclear Waste Storage in Sweden2015Ingår i: CyberGeo: European Journal of Geography, ISSN 1278-3366, E-ISSN 1278-3366, artikel-id 715Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The process underlying the Environmental Impact Assessment (EIA) for large developments is often designed to allow opportunities for members of the public and NGOs to voice their opinions. This study describes the EIA process leading to a decision in the question of radioactive waste storage in Sweden. While it should be possible for a deciding authority to reject an EIA on the basis of non-involvement of the public or NGOs, this study illustrates the way in which the EIA process may be formed by different social norms that relate to the specific case. Authorities can be considered to represent a plan paradigm (by which the project itself as well as political decisions made about it are in focus), whereas many environmental organizations traditionally represent an environment paradigm, focusing on the risk of potentially ecologically harmful processes. These differences can also be seen as symptomatic of the inclusion of parts of an environment paradigm in legislation such as the Swedish Environmental Code.

  • 2.
    Li, Wenjuan
    Umeå universitet, Samhällsvetenskapliga fakulteten, Kulturgeografiska institutionen.
    Regional and structural factors in Swedish regional growth during the 1990s2006Ingår i: CyberGeo: European Journal of Geography, ISSN 1278-3366, E-ISSN 1278-3366, nr 356, s. 1-26Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    Based on the Swedish Standard Industrial Classification and individual longitudinal data, by using the shift-share analysis method, Swedish regional employment growth during the 1990s has been decomposed into two components—growth due to an endogenous regional factor and growth due to an exogenous structural factor. The regional factor is more important in shaping regional growth than the structural factor as indicated by employment, although the two factors both have a positive relation to regional growth. The structural factor creates a macro milieu for a region and the regional factor generates a micro milieu for industries inside the region. The response of core regions to the economic downturn and recovery in Sweden in the period studied is stronger than that of periphery regions. The findings from this study support endogenous growth theories and core-periphery theory.

  • 3.
    Li, Wenjuan
    et al.
    Institute of Agricultural Resources and Regional Planning of CAAS.
    Holm, Einar
    Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för geografi och ekonomisk historia, Kulturgeografi.
    Lindgren, Urban
    Umeå universitet, Samhällsvetenskapliga fakulteten, Institutionen för geografi och ekonomisk historia, Kulturgeografi.
    Linking spatial scale to changes in workplace earnings: an exploratory approach2015Ingår i: CyberGeo: European Journal of Geography, ISSN 1278-3366, E-ISSN 1278-3366, artikel-id 740Artikel i tidskrift (Refereegranskat)
    Abstract [en]

    The paper investigates the importance of spatial scale for changes in earnings at the workplace by using spatial regression applied to workplace-level micro data in an exploratory purpose. A floating grid technique is used to define equal-sized workplaces and their daily-reach surrounding zones as divided into three spatial entities: working-square, local area and hinterland. On the basis of geo-referenced information on workplaces and places of residence along with numerous individual-level socio-economic indicators, the results of the regression models reveal that the indicators of the daily-reach area play a dominant role and that their contribution varies over spatial entities. Among the spatial entities, the working-square (km square) surrounding the workplace is more important than the workplace itself, the local area and the hinterland. Moreover, the results suggest that internal factors related to population size, diversity of trade and industry and educational level contribute to about one-third of changes in work income at the workplace level. It can be concluded that knowledge, learning and human capital are strongly associated with increased earnings.

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