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An Agent-Based Model of Multifunctional Agricultural Landscape Using Genetic Algorithms AgEcon
Soman, Sethuram; Misgna, Girmay; Kraft, Steven E.; Lant, Chris; Beaulieu, Jeffrey R..
Landowner characteristics influence his/her willingness to change landuse practices to provide more or less environmental benefits. However, most studies of agricultural/environmental polices identify landowners as homogenous. And, the primary cause of failure of many environmental and other polices is the lack of knowledge on how humans may respond to polices based on changes in their behavior (Stern, 1993). From socioeconomic theory and empirical research, landowners can be identified as individuals who make agricultural landuse decisions independently based on their objectives. Identifying possible classes of landowners, assessing how each would potentially respond to policy alternatives, and the resulting pattern of land uses in a watershed or a...
Tipo: Conference Paper or Presentation Palavras-chave: Multifunctional agriculture; Agent based modeling; Genetic Algorithm; Environmental Economics and Policy; Land Economics/Use.
Ano: 2008 URL: http://purl.umn.edu/6142
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