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Modelling Complex Systems

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  • Xepapadeas, Anastasios

Abstract

Empirical observations suggest that linear dynamics are not an adequate representa- tion of ecological systems and that a realistic representation would require adoption of complex nonlinear dynamical systems with characteristics encountered in complex adaptive systems (CAS). Adequate modelling should include and combine, among others, strategic interactions among economic agents, nonconvexities induced by non-linear feedbacks, separate spatial and temporal scales and modeling of spatiotempo- ral dynamics, and allowance of alternative time scales. Ignoring these characteristics might obscure very important features that we observe in reality such as bifurcations and irreversibilities or hysteresis. As a consequence, the design of policies that do not take CAS characteristics into account might lead to erroneous results and undesirable states of managed economic-ecological systems.

Suggested Citation

  • Xepapadeas, Anastasios, 2009. "Modelling Complex Systems," 2009 Conference, August 16-22, 2009, Beijing, China 53216, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae09:53216
    DOI: 10.22004/ag.econ.53216
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    Cited by:

    1. Bondarev, Anton & Weigt, Hannes, 2017. "Sensitivity of energy system investments to policy regulation changes: Application of the blue sky catastrophe," Working papers 2017/08, Faculty of Business and Economics - University of Basel.
    2. Kremmydas, Dimitris & Athanasiadis, Ioannis N. & Rozakis, Stelios, 2018. "A review of Agent Based Modeling for agricultural policy evaluation," Agricultural Systems, Elsevier, vol. 164(C), pages 95-106.
    3. Louis-Gaëtan Giraudet & Céline Guivarch, 2016. "Global warming as an asymmetric public bad," Working Papers 2016.26, FAERE - French Association of Environmental and Resource Economists.
    4. Davide Torre & Danilo Liuzzi & Simone Marsiglio, 2017. "Pollution Control Under Uncertainty and Sustainability Concern," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(4), pages 885-903, August.

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    Keywords

    Research Methods/ Statistical Methods;

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

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