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Modeling telecoupled systems: design for simulating telecoupled soybean trade

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  • Dou, Yue
  • Liu, Jianguo Jack

Abstract

How to feed the world’s population and achieve environmental sustainability of the planet earth is a global challenge (Godfray et al., 2012). The telecoupling concept and framework are proposed for the fast-growing trend of agricultural trade and other flows between different systems (Liu et al., 2013) and have been applied to a variety of cases (Liu, 2014; Seto and Reenberg, 2014; Wang and Liu, 2016; W. Yang et al., 2016). However, a comprehensive computer simulation model that can represent telecoupled human and natural systems is still lacking. Such a model can permit users to advance the understanding of telecoupling features and help decision making. Therefore, in this paper, we demonstrate the design of a TeleABM (i.e., an ABM that represents telecoupled human and natural systems) to show different components (i.e., coupled systems, flows, agents, causes, and effects) and features of telecoupled systems. Under the framework of telecoupling, we use an ABM as the backbone to guide the construction of TeleABM, and integrate other modeling approaches (e.g., mental modeling and GTAP) to complement their strengths and weaknesses to tackle the challenges of modeling telecoupled systems. We use the soybean trade between China and Brazil as a demonstration of telecoupled systems, where Brazil as the sending country that exports soybeans, China as the receiving system that imports significant amount of soybeans from Brazil.

Suggested Citation

  • Dou, Yue & Liu, Jianguo Jack, 2017. "Modeling telecoupled systems: design for simulating telecoupled soybean trade," Conference papers 332874, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
  • Handle: RePEc:ags:pugtwp:332874
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    References listed on IDEAS

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    1. Zheng, Chaohui & Liu, Yi & Bluemling, Bettina & Chen, Jining & Mol, Arthur P.J., 2013. "Modeling the environmental behavior and performance of livestock farmers in China: An ABM approach," Agricultural Systems, Elsevier, vol. 122(C), pages 60-72.
    2. An, Li, 2012. "Modeling human decisions in coupled human and natural systems: Review of agent-based models," Ecological Modelling, Elsevier, vol. 229(C), pages 25-36.
    3. Jianguo Liu, 2014. "Forest Sustainability in China and Implications for a Telecoupled World," Asia and the Pacific Policy Studies 201417, Crawford School of Public Policy, The Australian National University.
    4. 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.
    5. Castella, Jean-Christophe & Verburg, Peter H., 2007. "Combination of process-oriented and pattern-oriented models of land-use change in a mountain area of Vietnam," Ecological Modelling, Elsevier, vol. 202(3), pages 410-420.
    6. J. Gareth Polhill & Lee-Ann Sutherland & Nicholas M. Gotts, 2010. "Using Qualitative Evidence to Enhance an Agent-Based Modelling System for Studying Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 13(2), pages 1-10.
    7. Happe, Kathrin, 2004. "Agricultural policies and farm structures: Agent-based modelling and application to EU-policy reform," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 30, number 14945.
    8. Janvry, Alain de & Sadoulet, Elisabeth, 2001. "Income Strategies Among Rural Households in Mexico: The Role of Off-farm Activities," World Development, Elsevier, vol. 29(3), pages 467-480, March.
    9. Happe, Kathrin & Kellermann, Konrad & Balmann, Alfons, 2006. "Agent-based analysis of agricultural policies: An illustration of the agricultural policy simulator AgriPoliS, its adaptation and behavior," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 11(1).
    10. Hertel, Thomas & Rose, Steven & Tol, Richard, 2008. "Land Use in Computable General Equilibrium Models: An Overview," GTAP Working Papers 2595, Center for Global Trade Analysis, Department of Agricultural Economics, Purdue University.
    11. J. Gareth Polhill & Dawn C. Parker & Daniel Brown & Volker Grimm, 2008. "Using the ODD Protocol for Describing Three Agent-Based Social Simulation Models of Land-Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(2), pages 1-3.
    12. 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.
    13. Jianguo Liu, 2014. "Forest Sustainability in China and Implications for a Telecoupled World," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 1(1), pages 230-250, January.
    14. Li An & Marc Linderman & Jiaguo Qi & Ashton Shortridge & Jianguo Liu, 2005. "Exploring Complexity in a Human–Environment System: An Agent-Based Spatial Model for Multidisciplinary and Multiscale Integration," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 95(1), pages 54-79, March.
    15. Bruckner, Martin & Fischer, Günther & Tramberend, Sylvia & Giljum, Stefan, 2015. "Measuring telecouplings in the global land system: A review and comparative evaluation of land footprint accounting methods," Ecological Economics, Elsevier, vol. 114(C), pages 11-21.
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