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Integrated Assessment Modelling of Complexity in the New Zealand Farming Industry

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  • Olubode-Awosola, Femi
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    As New Zealand farming industry pursues more productivity this has implication for environment and makes land use and agricultural policy decision processes more complex for which integrated assessment modeling (IAM) can support. The purpose of this review paper is to propose means through which IAM can be improved specifically to minimize uncertainties and increase relevance, reliability, and utility of outputs of different models. Literature suggests that the general motivation for land use change is that farmers do consider the environment, but need to maintain profitability. There are handful decision support tools for land use and land policy decisions but one common feature of most of the models is that each seems suitable for only a part of the complexity. An appropriate framework for linking different models in an integrated assessment is still needed. As integrated assessment often goes beyond an individual researcher‘s role, research institutions need to align their research portfolio across the dimensions of the complexity by creating an appropriate mechanism to integrate individual research into integrated assessments while individual researchers need to present modelling results in a compatible format for integration into another model‘s application.

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    Paper provided by New Zealand Agricultural and Resource Economics Society in its series 2011 Conference, August 25-26, 2011, Nelson, New Zealand with number 115404.

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    Date of creation: 2011
    Handle: RePEc:ags:nzar11:115404
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    1. Joanna Hendy & Suzi Kerr & Troy Baisden, 2007. "The Land Use in Rural New Zealand Model Version 1 (LURNZv1: Model Description)," Working Papers 07_07, Motu Economic and Public Policy Research.
    2. David J. Pannell, 2009. "Technology change as a policy response to promote changes in land management for environmental benefits," Agricultural Economics, International Association of Agricultural Economists, vol. 40(1), pages 95-102, 01.
    3. Morriss, Stuart & Massey, Claire & Flett, Ross & Alpass, Fiona & Sligo, Frank, 2006. "Mediating technological learning in agricultural innovation systems," Agricultural Systems, Elsevier, vol. 89(1), pages 26-46, July.
    4. McGregor, M. J. & Rola-Rubzen, M. F. & Murray-Prior, R., 2001. "Micro and macro-level approaches to modelling decision making," Agricultural Systems, Elsevier, vol. 69(1-2), pages 63-83.
    5. White, T.A. & Snow, V.O. & King, W.McG., 2010. "Intensification of New Zealand beef farming systems," Agricultural Systems, Elsevier, vol. 103(1), pages 21-35, January.
    6. Shadbolt, Nicola M. & Olubode-Awosola, Femi & Gray, David I. & Dooley, Elizabeth, 2010. "Risk - An Opportunity or Threat for Entrepreneurial Farmers in the Global Food Market?," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association (IFAMA), vol. 13(4).
    7. Greer, Glen & Kaye-Blake, William & Hunt, Lesley, 2009. "Comparative Performance of Organic, Conventional, and Integrated Producers in New Zealand," 2009 Conference, August 27-28, 2009, Nelson, New Zealand 97160, New Zealand Agricultural and Resource Economics Society.
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