DOI: 10.7910/dvn/2tkdpe
title: 2021- IFAD-UE/CCAFS CSA Monitoring: Cinzana Climate-Smart Village (Mali)

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This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Cinzana Climate Smart Village (Mali) in February 2021 
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This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-based evidence by tracking the progress on: 
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adoption of CSA practices and technologies, as well as access to climate information services and 
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their related impacts at household level and farm level
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The CSA framework allows to address three key research questions:
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Who within each CSV community adopts which CSA technologies and practices and which are their motivations, enabling factors? To which extent farmers access and use climate information services? 
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Which is the gender-disaggregated perceived effects of CSA options on farmers’ livelihood, agricultural, food security and adaptive capacity, and on key gender dimensions (participation in decision making, participation in CSA implementation and dis-adoption, control and access over resources and labour). 
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Which are the CSA performance, synergies and trade-offs found at farm level? 
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(Note that this 3d. question was not addressed in this specific Basona Werana 2021 monitoring, as farm level data were not collected)
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The CSA framework proposes a small set of standard Core Indicators linked to the research questions, and Extended indicators covering aspects related to the enabling environment.
At household level (17 Core indicators):
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7 Core Uptake indicators (they track CSA Implementation and adoption drivers; CSA dis-adoption and drivers; Access to climate information services and agro-advisories, Capacity to use them and constraining factors).
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10 Core Outcome indicators (they track farmers perceptions on the effects of CSA practices on their Livelihoods, Food Security and Adaptive Capacity and on Gender dimensions.
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Those include namely: CSA effect on yield/production, on Income, on Improved Food Access and Food Diversity, on Vulnerability to weather related shocks and on Changes in agricultural activities induced by access to climate information.
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Four are Gender related Outcome indicators (Decision-making on CSA implementation or dis-adoption, Participation in CSA implementation, CSA effect on labor, Decision making and control on CSA generated income).
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An additional set of complementary Extended indicators allows to determine and track changes in enabling conditions and farmers characteristics such as: Livelihood security, Financial enablers, Food security, Frecuency of climate events, Coping strategies, Risk Mitigation Actions, Access to financial services and Training, CSA Knowledge and Learning.
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At farm level, 7 CORE indicators
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7 Core indicators are used to determine the CSA performance of the farms as well as synergies and trade-offs among the three pillars (productivity, adaptation and mitigation, via farm model analysis).
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This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real time. The survey questionnaire is structured around different thematic modules.
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For the West Africa implementation, in the context of the EU-IFAD/CCAFS project, some slight changes were made to specific modules of the questionnaire:
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In the demographic module (M1A): Five additional questions coming from the CCAFS Baseline/Midline questionnaire where added (HHGT60; HHLT5; HHLEAVEAG; ITEMS; UTILI)
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In module M1D Financial services, reduced set of original questions from the Financial Master Module (CRSUCOP; TRAGP; TRA1P; TRFIP; TRF1P)
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In module M2 Climate events, reduced set of original questions from the Climate events Master Module (CMULT; CMO; CCC12; CCC3; CCA12; CCA3; SCC12; SCC3; SCA12; SCA3)
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Modules M1B (Farming system), M3 (Climate information services), M4 (Food Security) and M5 (CSA practices) were kept as in the original CSA monitoring Master Questionnaire.
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