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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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REGIONAL ECONOMIC IMPACTS OF A WATERSHED PLANNING PROCESS TO REDUCE EROSION AND STREAM SEDIMENTATION AgEcon
Beaulieu, Jeffrey R.; Kraft, Steven E.; Beck, Roger J.; Bennett, David; Sengupta, Raja; Peterson, William C..
Farm-level and watershed-wide land-use changes resulting from policy initiatives are linked to a regional input/output model. As a result not only can the direct economic impacts at the farm and watershed levels be determined, so too can the direct and induced economic impacts at the regional level.
Tipo: Conference Paper or Presentation Palavras-chave: Resource /Energy Economics and Policy.
Ano: 2003 URL: http://purl.umn.edu/22040
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ECOLOGICAL-ECONOMIC MODELING ON A WATERSHED BASIS: A CASE STUDY OF THE CACHE RIVER OF SOUTHERN ILLINOIS AgEcon
Beaulieu, Jeffrey R.; Bennett, David; Kraft, Steven E.; Sengupta, Raja.
A digitally represented watershed landscape (ARC/INFO GIS) is merged with farm optimization (linear programming) and sediment and chemical transport (AGNPS) models. Enhanced targeting of non-point source pollution to remedial policy and management initiatives result. The implications of which are linked back to farm income and forward to the managed ecosystem.
Tipo: Conference Paper or Presentation Palavras-chave: Environmental Economics and Policy; Research and Development/Tech Change/Emerging Technologies.
Ano: 1998 URL: http://purl.umn.edu/21019
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