2018- CSA Monitoring: Mahottari: Climate-Smart Village (Nepal)

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Mahottari Climate Smart Village (Nepal) in March 2019. 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2019年3月在尼泊尔马霍塔里气候智慧型村庄（Mahottari Climate Smart Village）实施"气候智慧型农业综合监测框架"所生成的全部相关文件。该监测框架由CCAFS开发，计划每年在全球气候智慧型村庄网络中部署推行，通过追踪以下维度的进展以收集实地实证数据：气候智慧型农业（Climate-Smart Agriculture, CSA）实践与技术的采纳情况，以及气候信息服务的获取现状及其在农户与农场层面的相关影响。该框架提出标准化描述性指标，用于追踪五类可能影响采纳模式的赋能维度的变化；同时设置5项农户层面核心指标，用以评估CSA实践对粮食安全、生产效率、收入与气候脆弱性的感知影响；另有4项性别相关核心指标，覆盖决策参与、实施参与、资源获取/控制及工作时长四大维度。在农场层面，框架建议采用7项核心指标以评估农场的CSA绩效，以及三大支柱间的协同效应与权衡关系。本综合监测框架配套搭载了一款高性价比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. 在每个气候智慧型村庄社区内，哪些农户采纳了何种CSA技术与实践？其背后的动机、赋能因素与制约因素分别为何？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）以及关键性别维度（决策参与、CSA实施参与与方案放弃、资源与劳动力的获取与控制）的感知影响如何？3. CSA在农场层面的绩效表现如何？其间存在何种协同效应与权衡关系（全农场模型分析）？本次调查问卷围绕多类主题模块构建，涵盖人口统计学、生计状况、粮食安全、气候事件、气候服务、CSA实践、金融服务等领域，其所设置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，针对研究问题3的数据采集环节并未开展。