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Tools for Integrated Assessment in Agriculture. State of the Art and Challenges

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  • Britz, Wolfgang
  • van Ittersum, Martin K.
  • Oude Lansink, Alfons G.J.M.
  • Heckelei, Thomas
Abstract
The increased interest in Integrated Assessment (IA) of agricultural systems reflects the growing complexity of policy objectives and corresponding impacts related to this sector. The paper contemplates on the status of quantitative tools for IA in agriculture, drawing on recent European experiences from the development and application of large-scale integrated modelling systems which are both multi-dimensional/disciplinary and covering multiple spatial scales. Specific challenges arise from the numerous roles of agriculture with societal relevance, the heterogeneity of farms and farming systems across a geographical region and the multitude of environmental impacts of interest associated with agricultural production. Conceptual differences between typical bio-physical and economic models as well as deficiencies regarding validation and uncertainty analysis require continued efforts to improve the tools.

Suggested Citation

  • Britz, Wolfgang & van Ittersum, Martin K. & Oude Lansink, Alfons G.J.M. & Heckelei, Thomas, 2012. "Tools for Integrated Assessment in Agriculture. State of the Art and Challenges," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), vol. 1(2), pages 1-26, August.
    • Handle: RePEc:ags:aieabj:141966
    DOI: 10.22004/ag.econ.141966
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    as
    1. Rainer Hegselmann & Ulrich Krause, 2002. "Opinion Dynamics and Bounded Confidence Models, Analysis and Simulation," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 5(3), pages 1-2.
    2. Gomann, Horst & Kreins, Peter & Breuer, Thomas, 2007. "Deutschland – Energie-Corn-Belt Europas?," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 56(5/6).
    3. World Commission on Environment and Development,, 1987. "Our Common Future," OUP Catalogue, Oxford University Press, number 9780192820808.
    4. Stéphane Cara & Martin Houzé & Pierre-Alain Jayet, 2005. "Methane and Nitrous Oxide Emissions from Agriculture in the EU: A Spatial Assessment of Sources and Abatement Costs," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 32(4), pages 551-583, December.
    5. Hertel, Thomas & Hummels, David & Ivanic, Maros & Keeney, Roman, 2007. "How confident can we be of CGE-based assessments of Free Trade Agreements?," Economic Modelling, Elsevier, vol. 24(4), pages 611-635, July.
    6. Cornelis Gardebroek & Alfons Oude Lansink, 2003. "Estimating Farm Productivity Differentials using Panel Data: The Hausman‐Taylor Approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 54(3), pages 397-415, November.
    7. Jansson, Torbjorn & Kuiper, Marijke H. & Adenauer, Marcel, 2009. "Linking CAPRI and GTAP," Reports 57912, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    8. S De Cara & P-A Jayet, 2000. "Emissions of greenhouse gases from agriculture: the heterogeneity of abatement costs in France," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 27(3), pages 281-303, September.
    9. Heckelei, Thomas & Britz, Wolfgang, 2000. "Positive Mathematical Programming with Multiple Data Points: A Cross-Sectional Estimation Procedure," Cahiers d'Economie et de Sociologie Rurales (CESR), Institut National de la Recherche Agronomique (INRA), vol. 57.
    10. Heng-Chi Lee & Bruce McCarl & Uwe Schneider & Chi-Chung Chen, 2007. "Leakage and Comparative Advantage Implications of Agricultural Participation in Greenhouse Gas Emission Mitigation," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 12(4), pages 471-494, May.
    11. Argyris Kanellopoulos & Paul Berentsen & Thomas Heckelei & Martin Van Ittersum & Alfons Oude Lansink, 2010. "Assessing the Forecasting Performance of a Generic Bio‐Economic Farm Model Calibrated With Two Different PMP Variants," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 274-294, June.
    12. Barbier, B. & Bergeron, G., 1999. "Impact of policy interventions on land management in Honduras: results of a bioeconomic model," Agricultural Systems, Elsevier, vol. 60(1), pages 1-16, May.
    13. Dogliotti, S. & Rossing, W. A. H. & van Ittersum, M. K., 2004. "Systematic design and evaluation of crop rotations enhancing soil conservation, soil fertility and farm income: a case study for vegetable farms in South Uruguay," Agricultural Systems, Elsevier, vol. 80(3), pages 277-302, June.
    14. Quiroga, Sonia & Iglesias, Ana, 2009. "A comparison of the climate risks of cereal, citrus, grapevine and olive production in Spain," Agricultural Systems, Elsevier, vol. 101(1-2), pages 91-100, June.
    15. Richard E. Howitt, 1995. "Positive Mathematical Programming," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(2), pages 329-342.
    16. Belhouchette, Hatem & Louhichi, Kamel & Therond, Olivier & Mouratiadou, Ioanna & Wery, Jacques & Ittersum, Martin van & Flichman, Guillermo, 2011. "Assessing the impact of the Nitrate Directive on farming systems using a bio-economic modelling chain," Agricultural Systems, Elsevier, vol. 104(2), pages 135-145, February.
    17. van den Bergh, Jeroen C. J. M. & Nijkamp, Peter, 1991. "Operationalizing sustainable development: dynamic ecological economic models," Ecological Economics, Elsevier, vol. 4(1), pages 11-33, October.
    18. 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).
    19. Zimmermann, Andrea & Heckelei, Thomas & Adenauer, Marcel, 2009. "Methodology and Code to Simulate Structural Change in SEAMLESS-IF: results for SEAMLESS test regions and integration into SEAMLESS-IF," Reports 57789, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    20. Gocht, Alexander & Britz, Wolfgang, 2011. "EU-wide farm type supply models in CAPRI--How to consistently disaggregate sector models into farm type models," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 146-167, January.
    21. 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.
    22. Lansink, Alfons Oude & Peerlings, Jack, 1997. "Effects of N-Surplus Taxes: Combining Technical and Historical Information," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 24(2), pages 231-247.
    23. Gocht, Alexander & Britz, Wolfgang, 2010. "Eu-Wide Farm Types Supply In Capri - How To Consistently Disaggregate Sector Models Into Farm Type Model," 50th Annual Conference, Braunschweig, Germany, September 29-October 1, 2010 93960, German Association of Agricultural Economists (GEWISOLA).
    24. Janssen, Sander & van Ittersum, Martin K., 2007. "Assessing farm innovations and responses to policies: A review of bio-economic farm models," Agricultural Systems, Elsevier, vol. 94(3), pages 622-636, June.
    25. Lansink, Alfons Oude, 1999. "Generalised Maximum Entropy Estimation and Heterogeneous Technologies," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 26(1), pages 101-115, March.
    26. Cornelis Gardebroek, 2006. "Comparing risk attitudes of organic and non-organic farmers with a Bayesian random coefficient model," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(4), pages 485-510, December.
    27. Gomann, Horst & Kreins, Peter & Breuer, Thomas, 2007. "Deutschland – Energie-Corn-Belt Europas?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 56(05-06), pages 1-9.
    28. Elbersen, Berien S. & Kempen, Markus & van Diepen, C.A. & Andersen, Erling & Hazeu, Gerard W. & Verhoog, A. David, 2006. "Protocols for spatial allocation of farm types," Reports 9285, Wageningen University, SEAMLESS: System for Environmental and Agricultural Modelling; Linking European Science and Society.
    29. Payraudeau, Sylvain & van der Werf, Hayo M.G. & Vertes, Francoise, 2007. "Analysis of the uncertainty associated with the estimation of nitrogen losses from farming systems," Agricultural Systems, Elsevier, vol. 94(2), pages 416-430, May.
    30. Weston, Roy F. & Ruth, Matthias, 1997. "A dynamic, hierarchical approach to understanding and managing natural economic systems," Ecological Economics, Elsevier, vol. 21(1), pages 1-17, April.
    31. Just, Richard E., 1993. "Discovering Production and Supply Relationships: Present Status and Future Opportunities," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 61(01), pages 1-30, April.
    32. Carlson, Gerald A. & Zilberman, David & Miranowski, John, 1993. "Agricultural and Resource Economics," Staff General Research Papers Archive 11104, Iowa State University, Department of Economics.
    33. Lansink, Alfons Oude & Peerlings, Jack, 1996. "Modelling the New EU Cereals and Oilseeds Regime in the Netherlands," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 23(2), pages 161-178.
    34. van Ittersum, Martin K. & Ewert, Frank & Heckelei, Thomas & Wery, Jacques & Alkan Olsson, Johanna & Andersen, Erling & Bezlepkina, Irina & Brouwer, Floor & Donatelli, Marcello & Flichman, Guillermo & , 2008. "Integrated assessment of agricultural systems - A component-based framework for the European Union (SEAMLESS)," Agricultural Systems, Elsevier, vol. 96(1-3), pages 150-165, March.
    35. Rizzoli, Andrea E. & Donatelli, Marcello & Athanasiadis, Ioannis N. & Villa, Ferdinando & Huber, David, 2008. "Semantic links in integrated modelling frameworks," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 78(2), pages 412-423.
    36. Britz, Wolfgang, 2008. "Automated model linkages: the example of CAPRI," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(08), pages 1-5.
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