Targeting agricultural policies and interventions to serve multiple stakeholder goals: A new modeling approach using Bayesian Network models

This decision analysis approach evaluates business cases and simulates the impact of proposed investments using participatory and probabilistic tools to quantify the potential costs, benefits and associated risks of interventions. The methodology has been applied to case studies in Kenya: Marsabit C...

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Main Author: CGIAR Research Program on Water, Land and Ecosystems
Format: Informe técnico
Language:Inglés
Published: 2018
Subjects:
Online Access:https://hdl.handle.net/10568/122757
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author CGIAR Research Program on Water, Land and Ecosystems
author_browse CGIAR Research Program on Water, Land and Ecosystems
author_facet CGIAR Research Program on Water, Land and Ecosystems
author_sort CGIAR Research Program on Water, Land and Ecosystems
collection Repository of Agricultural Research Outputs (CGSpace)
description This decision analysis approach evaluates business cases and simulates the impact of proposed investments using participatory and probabilistic tools to quantify the potential costs, benefits and associated risks of interventions. The methodology has been applied to case studies in Kenya: Marsabit County and in honey value chains in Lamu County.
format Informe técnico
id CGSpace122757
institution CGIAR Consortium
language Inglés
publishDate 2018
publishDateRange 2018
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spelling CGSpace1227572023-03-14T12:05:47Z Targeting agricultural policies and interventions to serve multiple stakeholder goals: A new modeling approach using Bayesian Network models CGIAR Research Program on Water, Land and Ecosystems policies models case studies stakeholders costs development value chains rural development methodology analysis agricultural policies systems tools agrifood systems honey targeting This decision analysis approach evaluates business cases and simulates the impact of proposed investments using participatory and probabilistic tools to quantify the potential costs, benefits and associated risks of interventions. The methodology has been applied to case studies in Kenya: Marsabit County and in honey value chains in Lamu County. 2018-12-31 2022-10-06T14:07:28Z 2022-10-06T14:07:28Z Report https://hdl.handle.net/10568/122757 en Open Access application/pdf CGIAR Research Program on Water, Land and Ecosystems. 2018. Targeting agricultural policies and interventions to serve multiple stakeholder goals: A new modeling approach using Bayesian Network models. Reported in Water, Land and Ecosystems Annual Report 2018. Innovations.
spellingShingle policies
models
case studies
stakeholders
costs
development
value chains
rural development
methodology
analysis
agricultural policies
systems
tools
agrifood systems
honey
targeting
CGIAR Research Program on Water, Land and Ecosystems
Targeting agricultural policies and interventions to serve multiple stakeholder goals: A new modeling approach using Bayesian Network models
title Targeting agricultural policies and interventions to serve multiple stakeholder goals: A new modeling approach using Bayesian Network models
title_full Targeting agricultural policies and interventions to serve multiple stakeholder goals: A new modeling approach using Bayesian Network models
title_fullStr Targeting agricultural policies and interventions to serve multiple stakeholder goals: A new modeling approach using Bayesian Network models
title_full_unstemmed Targeting agricultural policies and interventions to serve multiple stakeholder goals: A new modeling approach using Bayesian Network models
title_short Targeting agricultural policies and interventions to serve multiple stakeholder goals: A new modeling approach using Bayesian Network models
title_sort targeting agricultural policies and interventions to serve multiple stakeholder goals a new modeling approach using bayesian network models
topic policies
models
case studies
stakeholders
costs
development
value chains
rural development
methodology
analysis
agricultural policies
systems
tools
agrifood systems
honey
targeting
url https://hdl.handle.net/10568/122757
work_keys_str_mv AT cgiarresearchprogramonwaterlandandecosystems targetingagriculturalpoliciesandinterventionstoservemultiplestakeholdergoalsanewmodelingapproachusingbayesiannetworkmodels