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Book of Abstract (incl. addendum) - IFSA symposium 2012

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Workshop 2.3 Systems thinking and practice in rural innovation: advances in concept,<br />

methodologies and interventions<br />

Communities <strong>of</strong> practice as an analytical approach to understanding<br />

decision making on multifunctional aspects on Danish dairy farms<br />

Mads Lægdsgaard Madsen and Egon Noe<br />

Aarhus University, Denmark<br />

Madsl.Madsen@agrsci.dk<br />

In Danish dairy farming the use <strong>of</strong> summer grazing for dairy cows is decreasing in these years. Most<br />

dairy farmers acknowledge that there is a public demand for the multifunctional aspects <strong>of</strong> grazing but<br />

nevertheless an increasing number <strong>of</strong> farmers keep the cows stabled all year round. Economic<br />

arguments are <strong>of</strong>ten used to justify this decision but most <strong>of</strong>ten these arguments are not in accordance<br />

with the economic realities. An earlier study based on the theory <strong>of</strong> communities <strong>of</strong> practice has shown<br />

that the work-related micro-level social interaction on the individual farm is pivotal for change in<br />

accordance with public demand for compliance with environmental targets. This might also be the case<br />

for the decision on use <strong>of</strong> grazing on dairy farms. On the empirical basis <strong>of</strong> interviews and participant<br />

observations on Danish dairy farms and drawing on the theory <strong>of</strong> communities <strong>of</strong> practices as an<br />

analytical framework, this paper analyses the relational preconditions for decision making in the microlevel<br />

social collaboration around the farmer and the work on the farm.<br />

Facilitated Networks and Beyond: Policy instruments for agricultural<br />

innovation<br />

Pieter J. Beers and Floor Geerling-Eiff<br />

Wageningen University, The Netherlands<br />

Pj.Beers@wur.nl<br />

The innovation systems literature emphasises the importance <strong>of</strong> networks for agricultural innovation.<br />

Networks <strong>of</strong>fer governments new opportunities to stimulate agricultural innovation. As a policy<br />

instrument, a so-called facilitated network <strong>of</strong>ten takes the form <strong>of</strong> a project, the goals <strong>of</strong> which <strong>incl</strong>ude<br />

or entail the formation <strong>of</strong> new networks or the strengthening <strong>of</strong> existing networks. We report on an<br />

exploratory study comparing the effectiveness <strong>of</strong> facilitated networks to other policy instruments for<br />

agricultural innovation in the Netherlands.<br />

We conducted semi-structured interviews with ten experts on networks and innovation. Policy<br />

alternatives to networks they named <strong>incl</strong>uded research funding, innovation experiments, knowledge<br />

vouchers for entrepreneurs, practice networks, competitions for awards / prizes, innovation subsidies<br />

for individual entrepreneurs, legal exceptions, legislation and fiscalisation.<br />

In the early stages <strong>of</strong> innovation, facilitated networks were seen as more effective and costefficient<br />

than the other instruments. This was especially the case for system transformation. However,<br />

other instruments can have comparable performance for innovation when they result in sufficient<br />

network formation. This can be achieved by implementing those instruments in ways that require the<br />

target groups to build coalitions and other forms <strong>of</strong> networks. Network formation was evidently seen as<br />

an important factor in the facilitation <strong>of</strong> innovation. Networks were also seen as effective for system<br />

optimisation, but not more cost-efficient than other effective instruments.<br />

Finally, past policy experiences enable moving beyond the generic term <strong>of</strong> “(facilitated)<br />

network” to develop more advanced instruments for specific types and phases <strong>of</strong> innovation. An<br />

example in case would be to combine instruments such as research funding, innovation experiments<br />

and exceptions in legislation to better support invention and business case development for system<br />

transformation.<br />

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