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Climate-smart agriculture in China

From policy to investment












Chen, F., Yin, X. & Jiang, S.2023. Climate-smart agriculture in China: from policy to investment. FAO Investment Centre Country Highlights No. 20. Rome, FAO.




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    This publication analyses of the synergies and trade-offs that can occur within climate-smart agriculture (CSA), more specifically between its three pillars: (i) sustainably increasing productivity and incomes in agriculture, (ii) building resilience of and adapting food and agriculture systems to climate change, (iii) reducing/removing greenhouse gas emissions, where possible. The aim of this analysis is to develop a systematic characterization of possible synergies and trade-offs in CSA, as well as provide a tool to guide CSA practitioners through the assessment of synergies and trade-offs during the design and planning of CSA strategies or interventions. The ultimate objective is to support strategic decisions that enhance synergies and reduce trade-offs to achieve better results for investments in CSA.
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    From 10–12 October 2017, government and leading private sector representatives attended the regional workshop Climate Action for Agriculture in Asia: Strengthening the role of scientific foresight and CSA in addressing NDC priorities in Bangkok to strengthen the capacities of countries in Asia to achieve their NDC targets for the agriculture and land-use sectors, through improved use of scientific information in sector planning and enhanced public and private sector engagement in accelerating cl imate-smart agricultural (CSA) investments. Based on priority commodities and CSA actions identified in the pre-2020 Roadmaps, participants worked in facilitated country groups to identify needs and opportunities for public-private sector coordination to accelerate investment and finance for CSA, aligned with NDC priorities and targets. The top priority actions needed to address challenges were identified, as were timelines and key entities that are most appropriate to lead and support the imple mentation of priority actions. In the final session country groups presented their pre-2020 roadmaps and private sector engagement strategies and identified concrete next steps that can be taken to turn their roadmaps into reality.
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    Analytical Tools. EASYPol Module116
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    The AFOLU sector (Agriculture, Forestry, Land Use) is directly linked with climate change issues, on an environmental aspect as well as on an economical and social aspect (food security). Yet, while there is a wide range of technical solutions, it is not immediately apparent which options deliver the most economically efficient reductions in GHG within agriculture. This is why methodologies such as a Marginal Abatement Cost Curves (MACC) have been developed over these past twenty years. MACC als o enables the comparison of the cost-effectiveness of mitigation options between different sectors (e.g. agriculture, power, transport, industry and domestic energy consumption). MACC has become a useful tool for policy makers to prioritize mitigation options. This paper aims at putting forward a methodology to use MAC-curves within the AFOLU sector. It especially targets policy planners and policy makers. The agricultural sector, also called agriculture or AFOLU, encompasses farm-based activiti es (crop production, livestock) as well as forestry and land use. It does not include the downstream agro-industry sector. The first part of these guidelines explains the methodology in order to assess the cost-effectiveness and the mitigation potential of technical practices in agriculture. It also underlines the limits of the MACC approach. The second part looks at a practical MACC analysis example, using the EX-ACT tool.

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