The Government of Indonesia and FAO have recognized the need for thorough analysis and modelling of Indonesia’s food systems to support food systems transformation efforts in the country. This is needed to provide a better understanding of the governance context in food systems, including the political economy dynamics influencing performance, as well as to identify synergies and trade-offs across different policy goals and optimal policy mixes for achieving multiple policy objectives. In this regard, FAO facilitated a project to pilot an innovative approach to modelling for food systems transformation. This modelling approach was developed and implemented by a team of researchers from IFPRI, IIASA, IISD and Christian-Albrechts-University of Kiel. It makes use of three different economic models to generate insights that can assist Indonesian policymakers in developing technically sound and politically feasible policy interventions for food systems transformation. This report provides context for food systems transformation in Indonesia and describes the overall modelling approach before synthesizing the results of the individual modelling activities and distilling these into the overall findings of the modelling. It concludes with implications from these findings for policymaking for food systems transformation in Indonesia and some suggestions for next steps. The results of this modelling and the insights drawn from these results are expected to support efforts to translate Indonesia’s commitments on food systems transformation into concrete policy interventions and to inform medium- and long-term development planning by the Indonesian Government.
To date, climate change adaptation and mitigation have been treated separately both in research and in the climate negotiations. However, a growing body of literature is now being developed that points to actual and potential synergies and trade-offs between responses to climate change and sustainability. This literature has evolved in a spontaneous way with diverse approaches and no common methodology to help practitioners explicitly plan for these synergies. This special issue of the Climate Policy journal addresses this gap between scientific knowledge and practitioners' needs by focussing on linkages between climate change and sustainable development at the level of conceptual framework and methods. In particular, the papers address in an integrated way local development options involving both adaptation and mitigation in order to promote resilience to climate change in human and natural systems. The special issue provides policy and methodological guidelines for linking local deveopment pathways with responses to climate change, based on collaboration between local practitioners, the public and scientists.
The Government of Indonesia and FAO have recognized the need for thorough analysis and modelling of Indonesia’s agrifood systems to support agrifood systems transformation efforts in the country. This is needed to provide a better understanding of the governance context in agrifood systems, including the political economy dynamics influencing performance, as well as to identify synergies and trade-offs across different policy goals and optimal policy mixes for achieving multiple policy objectives. In this regard, FAO facilitated a project to pilot an innovative approach to modelling for food systems transformation. This modelling approach was developed and implemented by a team of researchers from IFPRI, IIASA, IISD and Christian-Albrechts- University of Kiel. It uses three different economic models to generate insights that can assist Indonesian policymakers in developing technically sound and politically feasible policy interventions for agrifood systems transformation. This report provides context for agrifood systems transformation in Indonesia and describes the overall modelling approach before synthesizing the results of the individual modelling activities and distilling these into the overall findings of the modelling. It concludes with implications from these findings for policymaking for agrifood systems transformation in Indonesia and suggestions for the next steps. The results of this modelling and the insights drawn from these results are expected to support efforts to translate Indonesia’s commitments on agrifood systems transformation into concrete policy interventions and to inform medium- and long-term development planning by the Indonesian Government.
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