Record Details

2021- IFAD-UE/CCAFS CSA Monitoring: Cinzana Climate-Smart Village (Mali)

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title 2021- IFAD-UE/CCAFS CSA Monitoring: Cinzana Climate-Smart Village (Mali)
 
Identifier https://doi.org/10.7910/DVN/2TKDPE
 
Creator Bonilla-Findji, Osana
Eitzinger, Anton
Ouedraogo, Mathieu
Zougmoré, Robert
Laderach, Peter
Dembélé, Siaka
 
Publisher Harvard Dataverse
 
Description


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


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:




  • adoption of CSA practices and technologies, as well as access to climate information services and


  • their related impacts at household level and farm level


The CSA framework allows to address three key research questions:




  1. 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?


  2. 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).


  3. Which are the CSA performance, synergies and trade-offs found at farm level?



  4. (Note that this 3d. question was not addressed in this specific Basona Werana 2021 monitoring, as farm level data were not collected)




    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):






    • 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).


    • 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.


    • 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.






    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).






    • 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.






    At farm level, 7 CORE indicators






    • 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).






    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.




    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:






    • In the demographic module (M1A): Five additional questions coming from the CCAFS Baseline/Midline questionnaire where added (HHGT60; HHLT5; HHLEAVEAG; ITEMS; UTILI)


    • In module M1D Financial services, reduced set of original questions from the Financial Master Module (CRSUCOP; TRAGP; TRA1P; TRFIP; TRF1P)


    • 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)


    • 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.





 
Subject Agricultural Sciences
Earth and Environmental Sciences
Monitoring
Climate Smart Agriculture
Households
Livelihoods
Farmers
Adaptation
Food Security
Climate Shocks
 
Language English
 
Date 2021-02-28
 
Contributor Moreno Bustamante, Manuel Francisco
 
Type Survey data
Socio-economic data
Geographic data