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Multi-agent simulation for the targeting of development policies in less-favored areas

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  • Berger, Thomas
  • Schreinemachers, Pepijn
  • Woelcke, Johannes

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  • Berger, Thomas & Schreinemachers, Pepijn & Woelcke, Johannes, 2006. "Multi-agent simulation for the targeting of development policies in less-favored areas," Agricultural Systems, Elsevier, vol. 88(1), pages 28-43, April.
  • Handle: RePEc:eee:agisys:v:88:y:2006:i:1:p:28-43
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    References listed on IDEAS

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    1. Ruben, Ruerd & Moll, Henk & Kuyvenhoven, Arie, 1998. "Integrating agricultural research and policy analysis: analytical framework and policy applications for bio-economic modelling," Agricultural Systems, Elsevier, vol. 58(3), pages 331-349, November.
    2. Holden, Stein & Shiferaw, Bekele, 2004. "Land degradation, drought and food security in a less-favoured area in the Ethiopian highlands: a bio-economic model with market imperfections," Agricultural Economics, Blackwell, vol. 30(1), pages 31-49, January.
    3. Balmann, Alfons, 1997. "Farm-Based Modelling of Regional Structural Change: A Cellular Automata Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 24(1), pages 85-108.
    4. Berger, Thomas, 2001. "Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes and policy analysis," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 25(2-3), September.
    5. Barbier, Bruno, 1998. "Induced innovation and land degradation: Results from a bioeconomic model of a village in West Africa," Agricultural Economics, Blackwell, vol. 19(1-2), pages 15-25, September.
    6. Kuyvenhoven, Arie, 2004. "Creating an enabling environment: policy conditions for less-favored areas," Food Policy, Elsevier, vol. 29(4), pages 407-429, August.
    7. Holden, Stein & Shiferaw, Bekele & Pender, John, 2004. "Non-farm income, household welfare, and sustainable land management in a less-favoured area in the Ethiopian highlands," Food Policy, Elsevier, vol. 29(4), pages 369-392, August.
    8. 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.
    9. Barbier, Bruno, 1998. "Induced innovation and land degradation: Results from a bioeconomic model of a village in West Africa," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 19(1-2), September.
    10. Ruben, Ruerd & Pender, John, 2004. "Rural diversity and heterogeneity in less-favoured areas: the quest for policy targeting," Food Policy, Elsevier, vol. 29(4), pages 303-320, August.
    11. Patrick D'aquino & Christophe Le Page & François Bousquet & Alassane Bah, 2003. "Using Self-Designed Role-Playing Games and a Multi-Agent System to Empower a Local Decision-Making Process for Land Use Management: the SelfCormas Experiment in Senegal," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 6(3), pages 1-5.
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    Citations

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    Cited by:

    1. Schreinemachers, Pepijn & Berger, Thomas & Aune, Jens B., 2007. "Simulating soil fertility and poverty dynamics in Uganda: A bio-economic multi-agent systems approach," Ecological Economics, Elsevier, vol. 64(2), pages 387-401, December.
    2. Grovermann, Christian & Schreinemachers, Pepijn & Riwthong, Suthathip & Berger, Thomas, 2017. "‘Smart’ policies to reduce pesticide use and avoid income trade-offs: An agent-based model applied to Thai agriculture," Ecological Economics, Elsevier, vol. 132(C), pages 91-103.
    3. Grovermann, Christian & Schreinemachers, Pepijn & Berger, Thomas, 2015. "Evaluation of IPM adoption and financial instruments to reduce pesticide use in Thai agriculture using econometrics and agent-based modeling," 2015 Conference, August 9-14, 2015, Milan, Italy 211690, International Association of Agricultural Economists.
    4. Quang, Dang Viet & Schreinemachers, Pepijn & Berger, Thomas, 2014. "Ex-ante assessment of soil conservation methods in the uplands of Vietnam: An agent-based modeling approach," Agricultural Systems, Elsevier, vol. 123(C), pages 108-119.
    5. Troost, Christian & Berger, Thomas, 2015. "Process-based simulation of regional agricultural supply functions in Southwestern Germany using farm-level and agent-based models," 2015 Conference, August 9-14, 2015, Milan, Italy 211929, International Association of Agricultural Economists.
    6. Guido van Hofwegen & Gertjan A. Becx & Joep A. van den Broek & Niek B.J. Koning, 2007. "Unraveling the unsustainability spiral in sub-Saharan Africa: an agent based modelling approach," Interdisciplinary Description of Complex Systems - scientific journal, Croatian Interdisciplinary Society Provider Homepage: http://indecs.eu, vol. 5(2), pages 112-137.
    7. repec:bla:agecon:v:48:y:2017:i:6:p:693-706 is not listed on IDEAS
    8. Rasmussen, Svend & Damgaard, Martin, 2008. "Numerical Estimation of Agricultural Supply Functions - A Micro Economic Approach based on Mathematical Programming," 2008 International Congress, August 26-29, 2008, Ghent, Belgium 44181, European Association of Agricultural Economists.
    9. repec:eee:ecomod:v:273:y:2014:i:c:p:284-298 is not listed on IDEAS
    10. Pepijn Schreinemachers & Thomas Berger & Aer Sirijinda & Suwanna Praneetvatakul, 2009. "The Diffusion of Greenhouse Agriculture in Northern Thailand: Combining Econometrics and Agent-Based Modeling," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(4), pages 513-536, December.
    11. Sorda, G. & Sunak, Y. & Madlener, R., 2013. "An agent-based spatial simulation to evaluate the promotion of electricity from agricultural biogas plants in Germany," Ecological Economics, Elsevier, vol. 89(C), pages 43-60.
    12. repec:eee:ecomod:v:222:y:2011:i:19:p:3486-3499 is not listed on IDEAS
    13. Schreinemachers, Pepijn & Berger, Thomas & Sirijinda, Aer & Praneetvatakul, Suwanna, 2009. "The diffusion of greenhouse agriculture in northern Thailand: Combining econometrics and agent-based modeling," 2009 Conference, August 16-22, 2009, Beijing, China 50899, International Association of Agricultural Economists.
    14. repec:eee:ecomod:v:221:y:2010:i:5:p:812-824 is not listed on IDEAS
    15. Latynskiy, Evgeny & Berger, Thomas, 2012. "An Agent-Based Network Approach For Understanding, Analyzing And Supporting Rural Producer Organizations In Agriculture," 52nd Annual Conference, Stuttgart, Germany, September 26-28, 2012 137383, German Association of Agricultural Economists (GEWISOLA).
    16. Schilling, Chris & Kaye-Blake, William & Post, Elizabeth & Rains, Scott, 2012. "The importance of farmer behaviour: an application of Desktop MAS, a multi-agent system model for rural New Zealand communities," 2012 Conference, August 31, 2012, Nelson, New Zealand 136070, New Zealand Agricultural and Resource Economics Society.
    17. Tian, Qing & Holland, John H. & Brown, Daniel G., 2016. "Social and economic impacts of subsidy policies on rural development in the Poyang Lake Region, China: Insights from an agent-based model," Agricultural Systems, Elsevier, vol. 148(C), pages 12-27.
    18. Feola, Giuseppe & Binder, Claudia R., 2010. "Towards an improved understanding of farmers' behaviour: The integrative agent-centred (IAC) framework," Ecological Economics, Elsevier, vol. 69(12), pages 2323-2333, October.
    19. Barnaud, Cécile & Bousquet, François & Trebuil, Guy, 2008. "Multi-agent simulations to explore rules for rural credit in a highland farming community of Northern Thailand," Ecological Economics, Elsevier, vol. 66(4), pages 615-627, July.
    20. Takeshima, Hiroyuki & Adhikari, Rajendra Prasad & Poudel, Mahendra Nath & Kumar, Anjani, 2015. "Farm household typologies and mechanization patterns in Nepal Terai: Descriptive analysis of the Nepal living standards survey:," IFPRI discussion papers 1488, International Food Policy Research Institute (IFPRI).

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