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Agriculture Value Chain Development Project (ICARE)

Sector: Raw Materials • Location: Indonesia

Source: World Bank Group

Project
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The development objective of the Agriculture Value Chain Development Project (ICARE) for Indonesia is to support environmentally and financially sustainable and inclusive agricultural value chains in selected locations. The project comprises of three components. The first component, strengthening value chains in selected Kawasan Pertanian (agri-zone clusters) will provide integrated and site-speci

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The project “Agriculture Value Chain Development Project (ICARE)” is an infrastructure initiative in the Raw Materials sector, located in Indonesia. Taiyo aggregates data on it from World Bank Group.

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Description

Description

The development objective of the Agriculture Value Chain Development Project (ICARE) for Indonesia is to support environmentally and financially sustainable and inclusive agricultural value chains in selected locations. The project comprises of three components. The first component, strengthening value chains in selected Kawasan Pertanian (agri-zone clusters) will provide integrated and site-specific support for the development of viable value chain models in selected agri-zone clusters, an integral element of which is helping farmers better adapt to changing climate and reduce the carbon footprint of the selected value chains. It consists of following sub-components: (i) development of Kawasan Pertanian (agri-zone clusters) models and value chains; and (ii) supporting the development of Korporasi Petani. The second component, strengthening institutional capacity for value chain development aims to strengthen public and private sector institutional capacity to deliver on climate-smart agriculture and value chains in the targeted project locations. It consists of following sub-components: (i) collaborative dissemination of priority technologies through partnerships; and (ii) institutional capacity building. The third component, project management will finance project management and facilitate learning and knowledge management to ensure that successful models developed by the project are well documented to support scaling up.

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High

Data quality score

100%

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