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Policy Options for Dryland Salinity Management: An Agent-Based Model for Catchment Level Analysis

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  • Bhuiyan, Shamsuzzaman

Abstract

Dryland salinity management requires the integration of hydrologic, economic, social and policy aspects into an interactive method that decision makers can use to evaluate the economic and environmental consequences of alternative land use/management practices as well as various policy choices. This requires that modelling frameworks be open and accessible to a range of disciplines as well as allowing flexibility in exploration in learning or adapting. This interactive method will present the development of a new integrated hydrologic-economic model in the context of a catchment in which land use change is the dominant factor and salinity emergence due to land use and land cover change presents a major land and water degradation problem. This model will reflect the interactions between biophysical processes and socioeconomic processes as well as to explore both economic and environmental consequences of different policy options. All model components will be incorporated into a single consistent model, which will be solved in its entirety by an agent based modelling (ABM) approach. Agent-based Modelling (ABM) will allow to incorporate features that are necessary for a realistic representation of economic behaviour and interactions among resource managers.

Suggested Citation

  • Bhuiyan, Shamsuzzaman, 2005. "Policy Options for Dryland Salinity Management: An Agent-Based Model for Catchment Level Analysis," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137795, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare05:137795
    DOI: 10.22004/ag.econ.137795
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    1. Page, Scott E., 1999. "On the Emergence of Cities," Journal of Urban Economics, Elsevier, vol. 45(1), pages 184-208, January.
    2. Rosegrant, M. W. & Ringler, C. & McKinney, D. C. & Cai, X. & Keller, A. & Donoso, G., 2000. "Integrated economic-hydrologic water modeling at the basin scale: the Maipo river basin," Agricultural Economics, Blackwell, vol. 24(1), pages 33-46, December.
    3. Morrison, David A. & Kingwell, Ross S. & Pannell, David J. & Ewing, Michael A., 1986. "A mathematical programming model of a crop-livestock farm system," Agricultural Systems, Elsevier, vol. 20(4), pages 243-268.
    4. Henriëtte S. Otter & Anne van der Veen & Huib J. de Vriend, 2001. "ABLOoM: Location Behaviour, Spatial Patterns, and Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 4(4), pages 1-2.
    5. Balmann, Alfons, 1997. "Farm-Based Modelling of Regional Structural Change: A Cellular Automata Approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 24(1), pages 85-108.
    6. Hill, Christine M., 1997. "Economics for Landcare Groups: A Case Study in Dryland Salinity," 1997 Conference (41st), January 22-24, 1997, Gold Coast, Australia 136216, Australian Agricultural and Resource Economics Society.
    7. Stefan Hajkowicz & Mike Young, 2001. "Concepts of Landscape Redesign - A Background Paper," Natural Resource Management Economics 01_002, Policy and Economic Research Unit, CSIRO Land and Water, Adelaide, Australia.
    8. Dawn C. Parker, Tom Evans, Vicky Meretsky, 2001. "Measuring Emergent Properties of Agent-Based Landcover/Landuse Models using Spatial Metrics," Computing in Economics and Finance 2001 261, Society for Computational Economics.
    9. Jeffery Connor & John Ward, 2004. "Trialing incentive based policy to control dryland salinity in the Bet Bet Catchment, north central Victoria," Natural Resource Management Economics 04_01, Policy and Economic Research Unit, CSIRO Land and Water, Adelaide, Australia.
    10. Tesfatsion, Leigh, 2002. "Agent-Based Computational Economics: Growing Economies from the Bottom Up," ISU General Staff Papers 200201010800001251, Iowa State University, Department of Economics.
    11. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics, Blackwell, vol. 25(2-3), pages 245-260, September.
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