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Christen, B.; Kjeldsen, C.; Dalgaard, T.; Martin-Ortega, J. |
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Title |
Can fuzzy cognitive mapping help in agricultural policy design and communication? |
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2015 |
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Land Use Policy |
Abbreviated Journal |
Land Use Policy |
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45 |
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64-75 |
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Agricultural policy; Agro-environmental measures; Fuzzy cognitive mapping (FCM); General Binding Rules; Stakeholder communication; Scottish agriculture |
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Highlights •Fuzzy cognitive mapping (FCM)can help to improve agricultural policy design. •We analyse the views on regulation between farmers and non-farmers. •We demonstrate the utility of FCM in disentangling reasons for non-compliance. •Non-compliance is a result of dis-alignment of views rather than unwillingness. •FCM offers a critical, reflexive approach to how a regulatory process is conceived. Agricultural environmental regulation often fails to deliver the desired effects because of farmers adopting the related measures incorrectly or not at all. This is due to several barriers to the uptake of the prescribed environmentally beneficial farm management practices, most of which have been well established by social science research. Yet it is unclear why these barriers remain so difficult to overcome despite numerous and persistent attempts at the design, communication and enforcement of related agricultural policies. This paper examines the potential of fuzzy cognitive mapping (FCM) as a tool to disentangle the underlying reasons of this persistent problem. We present the FCM methodology as adapted to the application in a Scottish case study on how environmental regulation affects farmers and farming practice and what factors are important for compliance or non-compliance with this regulation. The study compares the views of two different stakeholder groups on this matter using FCM network visualizations that were validated by interviews and a workshop session. There was a farmers group representing a typical mix of Scottish farming systems and a non-farmers group, the latter comprising professionals from the fields of design, implementation, administration, consulting on and enforcement of agricultural policies. Between the two groups, the FCM process reveals a very different perception of importance and interaction of factors and strongly suggests that the problem lies in an institutional failure rather than in a simple unwillingness of farmers to obey the rules. FCM allows for a structured process of identifying areas of conflicting perceptions, but also areas where strongly differing groups of stakeholders might be able to gain common ground. In this way, FCM can help to identify anchoring points for targeted policy development and has the potential of becoming a useful tool in agricultural policy design and communication. Our results show the utility of FCM by pointing out how Scottish environmental regulation could be altered to increase compliance with the rules and where the reasons for the identified institutional failure might be sought. |
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LiveM, ftnotmacsur |
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MA @ admin @ |
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4620 |
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Saetnan, E.; Kipling, P.; Scollan, D.; Bartley, D.; Bellocchi, G.; Hutchings, J.; Dalgaard, T.; van den Pol-van Dasselaar, A. |
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Title |
MACSUR LiveM – a knowledge-hub for integrated modelling of climate change impacts on livestock production systems: lessons learned and future developments |
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2014 |
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LiveM |
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Livestock, Climate Change and Food Security, Madrid, Spain, 2014-05-19 to 2014-05-20 |
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MA @ admin @ |
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2781 |
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König, H.J.; Helming, K.; Seddaiu, G.; Kipling, R.; Köchy, M.; Graversgaard, M.; van den Pol-van Dasselaar, A.; Nguyen, T.P.L.; Quaranta, G.; Salvia, R.; Sieber, S.; Ithes, S.; Kjeldsen, C.; Turner, K.G.; Dalgaard, T.; Roggero, P.P. |
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Stakeholder participation in agricultural research: Who should be involved, why, and how? |
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Research in sustainable agricultural management requires appropriate participatory processes and tools enabling efficient dialogue and cooperation to allow researchers and stakeholders to co-produce knowledge. Research approaches that encourage stakeholder participation are in high demand because they allow a better understanding of human-nature interactions and interdependencies between actors. Participatory approaches also support multiple goals of agricultural management: improved productivity, food security, climate change adaptation, environmental conservation, rural development and policy decision making. Approaches to stakeholder engagement in the field of agricultural management research are manifold. Therefore, selecting the “right” approach depends on the specific purpose and contextualized issues at stake. We analyzed ten stakeholder approaches and propose a new framework with which to identify and select appropriate approaches for stakeholder engagement. The framework consists of three components: whom to engage (i.e., stakeholder type and mandate), why to engage (i.e., research purpose: consult, inform, collaborate), and how to engage (i.e., different methodological approaches). We identified different stakeholder groups (who?): farmers, agricultural actors, land users, and policymakers; different purposes (why?): facilitate engagement process, inform stakeholders, and obtain stakeholder perceptions; and different types of engagement methods (how?): participatory field experiments, desk simulations, interviews, panel discussions and different types of workshops. The framework was applied to arrange these approaches, organize them to improve understanding of their main strengths, weaknesses and supports for identifying and selecting an appropriate approach. We conclude that understanding the different facets of available approaches is crucial for selecting an appropriate stakeholder engagement approach. ; |
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MA @ admin @ |
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2564 |
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Kipling, P.; Saetnan, E.; Scollan, D.; Bartley, D.; Bellocchi, G.; Hutchings, J.; Dalgaard, T.; van den Pol-van Dasselaar, A. |
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Title |
Modelling livestock and grassland systems under climate change |
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2014 |
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LiveM |
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25th EGF General Meeting on “EGF at 50: The Future of European Grasslands”. - Grassland Science in Europe 19. Aberystwyth, Wales : EGF, 2014 - p. 61 - 74., 2014-09-07 to 2014-09-11 |
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MA @ admin @ |
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2535 |
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Kipling, P.; Saetnan, R.; van den Pol-van Dasselaar, A.; Scollan, D.; Bartley, D.; Bellocchi, G.; Hutchings, J.; Dalgaard, T. |
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Modelling interactions between climate and livestock pathogen transmission, Pirbright Institute, UK |
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2014 |
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LiveM |
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Workshop: Modelling interactions between climate and livestock pathogen transmission, 2014-01-22 to 2014-01-22 |
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MA @ admin @ |
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2534 |
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