2018- CSA Monitoring: Khulna Climate-Smart Village (Bangladesh)

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Barisal Climate Smart Village (Bangladesh) in December 2018. 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 This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, a set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4 CORE indicators on Gender aspects (Participation in decision making, Participation in implementation, Access/control over Resources and work time). At farm level, 7 CORE indicators are suggested to determine farms CSA performance, as well as synergies and trade-offs among the three pillars. This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real time. The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultural production, income, food security, food diversity 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)? How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)? The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services, CSA practices, Financial Services) whose questions allow assessing standard CSA metrics and the specific indicators associated with the research questions 1 and 2. In this 2018 Monitoring, data collection to address research question #3 was not carried out.

本数据集包含2018年12月在孟加拉国巴里萨尔气候智能村（Barisal Climate Smart Village）实施“气候智能型农业综合监测框架”过程中生成的全部文件。该监测框架由气候变化、农业与粮食安全联盟（CCAFS）开发，计划每年在全球气候智能村网络中部署，通过追踪以下领域的进展收集实地实证数据：气候智能型农业（Climate-Smart Agriculture, CSA）实践与技术的采纳情况，以及气候信息服务的可及性及其在农户与农场层面产生的相关影响。

本框架提出了标准化描述性指标，用于追踪以下维度的变化：其一为可能影响采纳模式的5项赋能维度；其二为用于评估CSA实践对农户层面粮食安全、生产力、收入及气候脆弱性感知影响的5项核心指标；其三为涉及性别维度的4项核心指标（决策参与、实施参与、资源获取/控制与劳动时间）。

在农场层面，该框架提出7项核心指标，用于评估农场的CSA实施绩效，以及三大支柱间的协同效应与权衡关系。该综合框架配套了一款经济高效的数据采集应用程序（Geofarmer），可实现近乎实时的信息采集。

该框架旨在回应三大核心研究问题：
1. 在各气候智能村社区中，哪些农户采纳了哪些CSA技术与实践？其采纳动机、赋能因素与制约因素分别是什么？
2. 按性别分类的CSA方案对农户生计（农业生产、收入、粮食安全、粮食多样性与适应能力）及关键性别维度（决策参与、CSA实施与弃用参与、资源与劳动的获取与控制）产生了哪些感知影响？
3. 农场层面的CSA实施绩效如何？各支柱间存在哪些协同效应与权衡关系（全农场模型分析）？

调查问卷围绕多个主题模块构建（人口学、生计、粮食安全、气候事件、气候服务、CSA实践、金融服务），各模块的问题可用于评估标准化CSA指标以及与研究问题1、2相关的特定指标。在本次2018年监测工作中，未开展针对研究问题3的数据采集工作。