Abstract

Economic subsidies continue to be in focus as potentially important drivers of agricultural change. Their exact functioning as drivers in very complex systems are not all that well analysed or documented however, and their effect e.g. in terms of environmental output are currently being questioned. In the work reported here, we focus on how the regionality of the farming system may influence the potential effect of agricultural subsidies, also in terms of farmland abandonment. We do this through using multiple linear regressions (MLR) and geographically weighted regression (GWR) on the Norwegian database on agricultural production data, combined with farm location data. Our findings demonstrate how the outcome of certain support systems may differ between regions, and how a region may dominate national statistic. We conclude that as subsidies continue to be a key tool in achieving agricultural policy aims, we need a better understanding of how the subsidy systems work. To understand the impact of a change in subsidy it is necessary to consider the local context in which it operates, e.g. demographics, bio-physical resources and feasibility of land rental. Spatial data and techniques such as spatial MLR and GWR are increasingly accessible to policy makers and should be used to provide insight into the local impacts of current policy. However this understanding must also emphasize farmer motivation and decision making and these investigations must be regionally based. (C) 2014 Elsevier Ltd. All rights reserved.

Keywords

Multiple Linear Regression; Geographically Weighted Regression; Subsidy; Production; Systems; Abandonment

Published in

Applied Geography
2014, Volume: 55, pages: 238-247
Publisher: ELSEVIER SCI LTD

SLU Authors

• Sang, Neil

  • Department of Landscape Architecture, Planning and Management, Swedish University of Agricultural Sciences
    
  • AnserGIS

Associated SLU-program

Agricultural landscape


UKÄ Subject classification

Landscape Architecture


Publication identifier

DOI: https://doi.org/10.1016/j.apgeog.2014.09.015

Permanent link to this page (URI)

https://res.slu.se/id/publ/67452