Digital Climate Information and Agriculture Advisory Delivery Mechanisms in West Africa
By advancing knowledge on digital climate information and agriculture advisory services (‘agromet services’) in support of West Africa’s farmers, this report has two objectives. First, it aims to identify priority actions for promoting digital agromet services under the West Africa Food System Resilience Program (FSRP) with a focus on Burkina Faso, Ghana, Mali, Niger, and Togo. Second, the report strives to provide insights on the required ingredients for creating viable agromet delivery models to all stakeholders involved in the production and dissemination of weather and climate information. These stakeholders include representatives from the Ministries of Agriculture (MOAs), National Meteorological Services (NMSs), Disaster Risk Management (DRM) specialists, interested parties from the private sector and civil society, and development practitioners. This report’s findings were obtained through i) a benchmarking analysis of ten case studies examining existing delivery mechanisms of digital agromet services, and ii) semi-structured interviews with public institutions complemented by desk research. Case study results indicate that providers of agromet services should bundle different service types and diversify revenue streams to ensure that their offerings are impactful and viable. The report also finds that increasing levels of trust between the public and the private sector would facilitate the creation of innovative climate information delivery models based on public-private engagement (PPE). Other key recommendations to enhance agromet services include continuing to invest in the technical and human capacity of the region’s NMSs, increasing collaboration between NMSs and agricultural extension services, and establishing clear regulatory frameworks on digitalization and open data.
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| Format: | Report biblioteca |
| Language: | English en_US |
| Published: |
Washington, DC
2023-03-21
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| Subjects: | DIGITAL CLIMATE INFORMATION, AGRICULTURE, WEST AFRICA, FOOD SYSTEMS, RESILIENCE, |
| Online Access: | http://documents.worldbank.org/curated/en/099184003162323591/P17294102e64e601608f73030209697c7ad https://openknowledge.worldbank.org/handle/10986/39565 |
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| Summary: | By advancing knowledge on digital
climate information and agriculture advisory services
(‘agromet services’) in support of West Africa’s farmers,
this report has two objectives. First, it aims to identify
priority actions for promoting digital agromet services
under the West Africa Food System Resilience Program (FSRP)
with a focus on Burkina Faso, Ghana, Mali, Niger, and Togo.
Second, the report strives to provide insights on the
required ingredients for creating viable agromet delivery
models to all stakeholders involved in the production and
dissemination of weather and climate information. These
stakeholders include representatives from the Ministries of
Agriculture (MOAs), National Meteorological Services (NMSs),
Disaster Risk Management (DRM) specialists, interested
parties from the private sector and civil society, and
development practitioners. This report’s findings were
obtained through i) a benchmarking analysis of ten case
studies examining existing delivery mechanisms of digital
agromet services, and ii) semi-structured interviews with
public institutions complemented by desk research. Case
study results indicate that providers of agromet services
should bundle different service types and diversify revenue
streams to ensure that their offerings are impactful and
viable. The report also finds that increasing levels of
trust between the public and the private sector would
facilitate the creation of innovative climate information
delivery models based on public-private engagement (PPE).
Other key recommendations to enhance agromet services
include continuing to invest in the technical and human
capacity of the region’s NMSs, increasing collaboration
between NMSs and agricultural extension services, and
establishing clear regulatory frameworks on digitalization
and open data. |
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