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Supportive enabling environments for
up-scaling climate smart food systems
Wiebke Förch, Olaf Westermann, Mark Howden,
Phi...
Context
• Climate change pushes societies towards new realities
• Even in a 2-degree world, stakes are high
• Smallholder ...
Scale of change
Informationdensity
Spectrum of adaptation
• Different levels of
adaptation
• Density of
empirical
informat...
Scale of change
Informationdensity
Incremental
Systemic
Transformative
Radical?
Approach
• Transdisciplinary
case studies ...
Key learning
• Unavoidable trade-offs between reach and context ->
potentially high transaction costs
• Multi-stakeholder ...
Key learning
• Interactions with different types of partner are key
• Looped learning is important (hindsight – insight – ...
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Supportive enabling environments for up-scaling climate smart food systems Wiebke Förch et al 2015

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Presentation "Supportive enabling environments for up-scaling climate smart food systems" was held during the Transformations Conference in Stockholm, 5 October 2015 by Wiebke Förch, Science Officer at CCAFS and researcher based at the International Livestock Research Institute.

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Supportive enabling environments for up-scaling climate smart food systems Wiebke Förch et al 2015

  1. 1. Supportive enabling environments for up-scaling climate smart food systems Wiebke Förch, Olaf Westermann, Mark Howden, Philip Thornton, Sonja Vermeulen, Ioannis Vasileiou CCAFS, CSIRO, IIED Partner logo Transformations, Stockholm, 5 October 2015
  2. 2. Context • Climate change pushes societies towards new realities • Even in a 2-degree world, stakes are high • Smallholder farmers are likely to be most affected • Need comprehensive solutions for society – Climate smart agriculture (CSA): food security, adaptation, mitigation – Not incremental but transformative change needed • Current approaches to scaling agric. practices & technologies – Agric. extension (supply led) / participatory approaches (demand led) – Challenges: transaction costs of reaching large numbers, meeting farmers’ priorities and political, institutional and economic barriers • Technologies as levers for change – need conducive institutional environments & partnerships across levels – Scaling up needs to become more effective
  3. 3. Scale of change Informationdensity Spectrum of adaptation • Different levels of adaptation • Density of empirical information • R4D: generating new knowledge on practices & technologies - Mostly incremental change - Need to show impact
  4. 4. Scale of change Informationdensity Incremental Systemic Transformative Radical? Approach • Transdisciplinary case studies on adaptation (28), scaling up CSA (11) • Simple analytical framework: lessons on processes, capacities, institutions to facilitate scaling • Hypothesis: lessons in both studies could apply to transformative change
  5. 5. Key learning • Unavoidable trade-offs between reach and context -> potentially high transaction costs • Multi-stakeholder platforms and policy making networks are key to effective scaling, if paired with capacity enhancement, learning, support farmers’ decision making -> high investment • Cross-level processes for transformation – higher leverage points can be efficient • Little robust information on economic efficiency and actual impact
  6. 6. Key learning • Interactions with different types of partner are key • Looped learning is important (hindsight – insight – foresight) • Formulate and address critical assumptions, which may make or break the scaling-up process • Bridge gaps between short- and long term • Address root causes of vulnerability – institutional environments matter most

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