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

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

本数据集包含2021年2月在马里辛扎纳气候智慧型村庄（Cinzana Climate Smart Village）实施“气候智慧型农业综合监测框架”所生成的全部文件。该监测框架由气候变化、农业与粮食安全联盟（Climate Change, Agriculture and Food Security, CCAFS）开发，旨在每年在全球气候智慧型村庄（Climate Smart Village, CSV）网络中部署应用，通过追踪以下进展收集实地证据：气候智慧型农业（Climate-Smart Agriculture, CSA）实践与技术的采用情况、气候信息服务的可及性，以及二者在农户层面与农场层面产生的相关影响。

该CSA框架可用于解答四大核心研究问题：
1. 各CSV社区内的农户分别采用了哪些CSA技术与实践，其采用动机与赋能因素分别是什么？
2. 农户在多大程度上可获取并使用气候信息服务？
3. 按性别细分的CSA方案对农户生计、农业生产、粮食安全与适应能力，以及关键性别维度（参与决策、参与CSA实施与放弃采用、资源与劳动力的控制与获取）的感知影响如何？
4. 农场层面发现的CSA绩效、协同效应与权衡关系是什么？
（注：本次2021年巴索纳韦拉纳（Basona Werana）监测未涉及该第三个研究问题，因未收集农场层面数据）

该CSA框架提出了与研究问题相关的少量标准核心指标，以及涵盖赋能环境相关维度的扩展指标。
在农户层面，共设置17项核心指标：
- 7项核心采用指标：用于追踪CSA实施与采用驱动因素、CSA放弃采用行为及其驱动因素、气候信息服务与农业咨询的可及性、使用能力及制约因素。
- 10项核心成果指标：用于追踪农户对CSA实践对其生计、粮食安全与适应能力，以及性别维度影响的感知情况。其中具体包括：CSA对产量/生产、收入、粮食获取与食物多样性的改善、对天气相关冲击的脆弱性，以及因获取气候信息而引发的农业活动变化所产生的影响。其中4项为与性别相关的成果指标：CSA实施或放弃采用的决策参与、参与CSA实施情况、CSA对劳动力的影响、CSA创收的决策与控制权。

此外，还有一套补充性扩展指标，用于确定并追踪赋能条件与农户特征的变化，包括：生计保障、金融赋能因素、粮食安全、气候事件发生频率、应对策略、风险缓解行动、获取金融服务与培训情况、CSA知识与学习情况。

在农场层面，设置7项核心指标：该7项核心指标用于评估农场的CSA绩效，以及通过农场模型分析得出的三大支柱（生产力、适应能力与减缓能力）之间的协同效应与权衡关系。

本综合监测框架配套了一款性价比极高的数据采集应用（Geofarmer），可实现近乎实时的信息采集。调查问卷按照不同主题模块进行架构设计。

针对西非地区的实施场景，在欧盟-国际农业发展基金（International Fund for Agricultural Development, IFAD）/CCAFS项目框架下，对调查问卷的特定模块进行了小幅调整：
1. 在人口统计模块（M1A）中，新增了来自CCAFS基线/中期调查问卷的5个问题：HHGT60、HHLT5、HHLEAVEAG、ITEMS、UTILI。
2. 在M1D金融服务模块中，精简了金融主模块的原有问题集，保留：CRSUCOP、TRAGP、TRA1P、TRFIP、TRF1P。
3. 在M2气候事件模块中，精简了气候事件主模块的原有问题集，保留：CMULT、CMO、CCC12、CCC3、CCA12、CCA3、SCC12、SCC3、SCA12、SCA3。
4. 模块M1B（耕作制度）、M3（气候信息服务）、M4（粮食安全）与M5（CSA实践）均沿用原始CSA监测主调查问卷的内容。