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 AS  Vol.9 No.3 , March 2018
Toward Modelling of Transformational Change Processes in Farm Decision-Making
Abstract: In the coming decades, agricultural systems will have to adapt to tremendous challenges. Behavioral models have important potential to better understand and steer changes toward sustainability brought about by this context. Relying on a literature review, we distinguish incremental changes (extensions of what is already done) and transformational changes, which involve the reorientation of a considerable amount of farming activities. Transformational changes are particularly important in the context of global change. Existing integrated modelling frameworks based on behavioral theories are suited for incremental changes, but remain limited for transformational changes. Qualitative studies provide important insights on two key aspects of transformational changes, learning and social relations, but they have not been explicitly oriented toward computer modelling yet. Based on this literature and three seminal decision-making approaches, we propose a description of transformational change processes in farm decision-making, as a first step toward an implementation in agent-based models.
Cite this paper: Huet, S. , Rigolot, C. , Xu, Q. , De Cacqueray-Valmenier, Y. and Boisdon, I. (2018) Toward Modelling of Transformational Change Processes in Farm Decision-Making. Agricultural Sciences, 9, 340-350. doi: 10.4236/as.2018.93024.
References

[1]   Darnhofer, I., et al. (2010) Adaptiveness to Enhance the Sustainability of Farming Systems. A Review. Agronomy for Sustainable Development, 30, 545-555.
https://doi.org/10.1051/agro/2009053

[2]   Tscharntke, T., et al. (2012) Global Food Security, Biodiversity Conservation and the Future of Agricultural Intensification. Biological Conservation, 151, 53-59.
https://doi.org/10.1016/j.biocon.2012.01.068

[3]   Tilman, D., et al. (2002) Agricultural Sustainability and Intensive Production Practices. Nature, 418, 671.
https://doi.org/10.1038/nature01014

[4]   Brown, C., et al. (2017) Behavioral Models of Climate Change Adaptation and Mitigation in Land-Based Sectors. Wiley Interdisciplinary Reviews: Climate Change, 8, e448.
https://doi.org/10.1002/wcc.448

[5]   Janssen, S. and van Ittersum, M.K. (2007) Assessing Farm Innovations and Responses to Policies: A Review of Bio-Economic farm Models. Agricultural Systems, 94, 622-636.
https://doi.org/10.1016/j.agsy.2007.03.001

[6]   Robert, M., Thomas, A. and Bergez, J.-E. (2016) Processes of Adaptation in Farm Decision-Making Models. A Review. Agronomy for Sustainable Development, 36, 64.
https://doi.org/10.1007/s13593-016-0402-x

[7]   Edwards-Jones, G. (2006) Modelling Farmer Decision-Making: Concepts Progress and Challenges. Animal Science, 82, 783-790.
https://doi.org/10.1017/ASC2006112

[8]   McGregor, M.J., Rola-Rubzen, M.F. and Murray-Prior, R. (2001) Micro and Macro-Level Approaches to Modelling Decision-Making. Agricultural Systems, 69, 63-83.
https://doi.org/10.1016/S0308-521X(01)00018-X

[9]   Latruffe, L., Nauges, C. and Desjeux, Y. (2013) The Role of Economic Factors in Driving Conversion to Organic Farming. Innovations Agronomiques, 32, 259-269.

[10]   Feola, G. and Binder, C.R. (2010) Toward an Improved Understanding of Farmers’ Behaviour: The Integrative Agent-Centred (IAC) Framework. Ecological Economics, 69, 2323-2333.
https://doi.org/10.1016/j.ecolecon.2010.07.023

[11]   Goldstone, R.L. and Janssen, M.A. (2005) Computational Models of Collective Behavior. Trends in Cognitive Sciences, 9, 424-430.
https://doi.org/10.1016/j.tics.2005.07.009

[12]   Heckbert, S., Baynes, T. and Reeson, A. (2010) Agent-Based Modeling in Ecological Economics. Annals of the New York Academy of Sciences, 1185, 39-53.
https://doi.org/10.1111/j.1749-6632.2009.05286.x

[13]   Rickards, L. and Howden, S.M. (2012) Transformational Adaptation: Agriculture and Climate Change. Crop and Pasture Science, 63, 240-250.
https://doi.org/10.1071/CP11172

[14]   Pelling, M., O’Brien, K. and Matyas, D. (2015) Adaptation and Transformation. Climatic Change, 133, 113-127.
https://doi.org/10.1007/s10584-014-1303-0

[15]   Kates, R.W., Travis, W.R. and Wilbanks, T.J. (2012) Transformational Adaptation When Incremental Adaptations to Climate Change Are Insufficient. Proceedings of the National Academy of Sciences of the United States of America, 109, 7156-7161.
https://doi.org/10.1073/pnas.1115521109

[16]   O’Brien, K. and Hochachka, G. (2010) Integral Adaptation to Climate Change. Journal of Integral Theory & Practice, 5, 89-102.

[17]   Sutherland, L.-A., Gottsa, N., Slee, B., Blackstock, K., et al. (2012) Triggering Change: Towards a Conceptualisation of Major Change Processes in Farm Decision-Making. Journal of Environmental Management, 104, 142-151.
https://doi.org/10.1016/j.jenvman.2012.03.013

[18]   Herrero, M., Wirsenius, S., Henderson, B., Rigolot, C., et al. (2015) Livestock and the Environment: What Have We Learned in the Past Decade? Annual Review of Environment and Resources, 40, 177-202.
https://doi.org/10.1146/annurev-environ-031113-093503

[19]   Dedieu, M.S., et al. (2017) The Organic Farms: Which Economic Performances? Les acteurs économiques et l’environnement, I. References, Editor 2017. 44.
https://www.insee.fr/fr/statistiques/3280932?sommaire=3280952

[20]   Martin-Clouaire, R. (2017) Modelling Operational Decision-Making in Agriculture. Agricultural Sciences, 8, 527-544.
https://doi.org/10.4236/as.2017.87040

[21]   McCown, R.L. (2005) New Thinking about Farmer Decision Makers. In: Hatfield, J.L., Ed., The Farmer’s Decision: Balancing Economic Agriculture Production with Environmental Quality, Soil and Water Conservation Society, Ankeny, 11-44.

[22]   Bratman, M.E., Israel, D.J. and Pollack, M.E. (1988) Plans and Resource-Bounded Practical Reasoning. Computational Intelligence, 4, 349-355.
https://doi.org/10.1111/j.1467-8640.1988.tb00284.x

[23]   Rasmussen, J. (1976) Outlines of a Hybrid Model of the Process Plant Operator. In: Sheridan, T.B. and Johannsen, G., Eds., Monitoring Behavior and Supervisory Control, Springer, Boston, MA, 371-383.

[24]   Klein, G. (1997) The Recognition-Primed Decision (RPD) Model: Looking Back, Looking Forward. In: Zsambok, C.E. and Klein, G., Eds., Expertise: Research and Applications. Naturalistic Decision Making, Lawrence Erlbaum Associates, Inc., Hillsdale, NJ, 285-292.

[25]   Lamine, C. and Bellon, S. (2009) Conversion to Organic Farming: A Multidimensional Research Object at the Crossroads of Agricultural and Social Sciences. A Review. Agronomy for Sustainable Development, 29, 97-112.
https://doi.org/10.1051/agro:2008007

[26]   Moulin, C.H., Ingrand, S., Lasseur, J., Madelrieux, S., Napoléone, M., Pluvinage, J. and Thénard, V. (2008) Understanding and Analyzing Organisational and Livestock Management Practices Changesin Farms: Methodological Proposal. In: Dedieu, B., Leclerc, B., Moulin, C.H., Tichit, M., Eds., L’élevage en mouvement: Flexibilité et adaptation des exploitations d’herbivores, éditions Quae, Versailles, 23-36.

[27]   Barbier, C., Cerf, M. and Lusson, J.-M. (2015) Life Stories of Farmers to Low Input Practices: The Pleasures Associated to the Change of Practices. Activités, 12, 27.

[28]   Boisdon, I., et al. (2013) Typology of Trajectories of Conversion to Organic Farming of Mountainous Dairy Farms. Rencontres autour des recherches sur les ruminants.

[29]   Chantre, E., Cerf, M. and Bail, M.L. (2015) Transitional Pathways towards Input Reduction on French Field Crop Farms. International Journal of Agricultural Sustainability, 13, 69-86.
https://doi.org/10.1080/14735903.2014.945316

[30]   Lamine, C., Meynard, J.M., Perrot, N. and Bellon, S. (2009) Analysis of Forms of Transition toward More Ecological Farming: The Organic Farming and the Integrated Protection. Innovations Agronomiques, 4, 483-493.

[31]   Alavoine-Mornas, F. and Madelrieux, S. (2014) Paths to Organic Farming. A Variety of Process. économie Rurale, 339-340, 65-79.

[32]   Chantre, E. and Cardona, A. (2014) Trajectories of French Field Crop Farmers Moving toward Sustainable Farming Practices: Change, Learning, and Links with the Advisory Services. Agroecology and Sustainable Food Systems, 38, 573-602.
https://doi.org/10.1080/21683565.2013.876483

[33]   Coquil, X., Dedieu, B. and Béguin, P. (2017) Professional Transitions towards Sustainable Farming Systems: The Development of Farmers’ Professional Worlds. Work, 57, 325-337.
https://doi.org/10.3233/WOR-172565

[34]   Coquil, X., Dedieu, B. and Beguin, P. (2010) How Do Livestock and Crop Sciences Represent Evolutions of Farming Systems? A Review. In: Binder, C.R. and Feola, G., Eds., 9th European IFSA Symposium, University of Natural Resources and Applied Life Sciences, Vienne, Austria, 1255-1266.

[35]   Farrow, K., Grolleau, G. and Ibanez, L. (2017) Social Norms and Pro-Environmental Behavior: A Review of the Evidence. Ecological Economics, 140, 1-13.
https://doi.org/10.1016/j.ecolecon.2017.04.017

[36]   Sutherland, L.-A. (2013) Can Organic Farmers Be “Good Farmers”? Adding the “Taste of Necessity” to the Conventionalization Debate. Agriculture and Human Values, 30, 429-441.
https://doi.org/10.1007/s10460-013-9424-z

[37]   Sutherland, L.-A. (2011) “Effectively Organic”: Environmental Gains on Conventional Farms through the Market? Land Use Policy, 28, 815-824.
https://doi.org/10.1016/j.landusepol.2011.01.009

[38]   Petty, R.E. and Cacioppo, J.T. (1986) The Elaboration Likelihood Model of Persuasion. In: Berkowitz, L., Ed., Advances in Experimental Social Psychology, Academic Press, Cambridge, MA, 123-205.

[39]   Geels, F.W. (2004) From Sectoral Systems of Innovation to Socio-Technical Systems: Insights about Dynamics and Change from Sociology and Institutional Theory. Research Policy, 33, 897-920.
https://doi.org/10.1016/j.respol.2004.01.015

[40]   Dowd, A.-M., Marshall, N., Fleming, A., et al. (2014) The Role of Networks in Transforming Australian Agriculture. Nature Climate Change, 4, 558-563.
https://doi.org/10.1038/nclimate2275

[41]   Mintzberg, H., Raisinghani, D. and Theoret, A. (1976) The Structure of “Unstructured” Decision Processes. Administrative Science Quarterly, 21, 246-275.
https://doi.org/10.2307/2392045

[42]   Rogers, E.M. (1995) Diffusion of Innovations. 4th Edition, The Free Press, a Division of Simon & Schuster Inc., New York.

[43]   Valente, T.W. (1995) Networks Models of the Diffusion of Innovations. Hampton Press, Inc., Cresskill, NJ, 171.

[44]   Valente, T.W. (1996) Social Network Thresholds in the Diffusion of Innovations. Social Networks, 18, 69-89.
https://doi.org/10.1016/0378-8733(95)00256-1

[45]   Ajzen, I. (1985) From Intentions to Actions: A Theory of Planned Behavior. In: Kuhl, J. and Beckmann, J., Eds., Action Control: From Cognition to Behavior, Springer, Berlin, Heidelberg, 11-39.
https://doi.org/10.1007/978-3-642-69746-3_2

[46]   Fishbein, M. (1979) A Theory of Reasoned Action: Some Applications and Implications. Nebraska Symposium on Motivation, 27, 65-116.

[47]   Moser, S.C. and Ekstrom, J.A. (2010) A Framework to Diagnose Barriers to Climate Change Adaptation. Proceedings of the National Academy of Sciences of the United States of America, 107, 22026-22031.
https://doi.org/10.1073/pnas.1007887107

[48]   Park, S.E., et al. (2012) Informing Adaptation Responses to Climate Change through Theories of Transformation. Global Environmental Change, 22, 115-126.
https://doi.org/10.1016/j.gloenvcha.2011.10.003

[49]   Öhlmér, B., Olson, K. and Brehmer, B. (1998) Understanding Farmers’ Decision-Making Processes and Improving Managerial Assistance. Agricultural Economics, 18, 273-290.

[50]   Ajzen, I. (1991) The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50, 179-211.
https://doi.org/10.1016/0749-5978(91)90020-T

[51]   Deffuant, G., Amblard, F., et al. (2002) Agent-Based Simulation of Organic Farming Conversion in Allier Département. In: Janssen, M.A., Ed., Agent-Based Simulation of Organic Farming Conversion in Allier Département, Edward Elgar Publishing Limited, Cheltenham, UK; Northampton, USA, 158-187.

[52]   Sutherland, L.-A., Gabriel, D., Pascual, U., et al. (2012) The “Neighbourhood Effect”: A Multidisciplinary Assessment of the Case for Farmer Co-Ordination in Agri-Environmental Programmes. Land Use Policy, 29, 502-512.
https://doi.org/10.1016/j.landusepol.2011.09.003

[53]   Willock, J., .Deary, I.J., et al. (1999) Farmers’ Attitudes, Objectives, Behaviors, and Personality Traits: The Edinburgh Study of Decision-Making on Farms. Journal of Vocational Behavior, 54, 5-36.
https://doi.org/10.1006/jvbe.1998.1642

[54]   Deffuant, G., Huet, S. and Amblard, F. (2005) An Individual-Based Model of Innovation Diffusion Mixing Social Value and Individual Payoff Dynamics. American Journal of Sociology, 110, 1041-1069.

 
 
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