Institutional networks and self-organized adaptation: Tracing the democratic architectures of climate response

This project, “Institutional Networks and Self-organized Adaptation”, examines the role of rural institutions and public support systems in shaping responses to shocks and stressors in rural India & Nepal during 2020-21. We include stressors related to COVID-19, climate, health, and other challenges identified by rural households. The data includes: - Village information on demographics, infrastructure, and natural resources - Village level institutions involved in livelihood support and adaptive responses - Networks of interaction between these institutions - Household information on demographics, livelihoods, interaction with institutions, shocks & stressors, and responses to these stressors Household level data includes high-frequency repeat visits (approximately monthly) to gather detailed information about stressors and responses over the calendar year. This dataset contains 480 households nested within 16 local governmental units in the Himalayan region. This includes 8 villages in the Kangra District of India’s northern state of Himachal Pradesh and the Dhulikhel and Ramechhap Districts of east central Nepal. Through repeated visits during the calendar year, we have captured 8694 self-observed shocks and stressors, i.e. "threats" (3550 in India & 5144 in Nepal), and 5859 responses to cope or adapt to these threats (2553 in India, 3306 in Nepal).本研究项目题为「制度网络与自组织适应」，旨在探讨2020至2021年间，印度与尼泊尔农村地区的乡村制度与公共支持体系，在塑造社区应对冲击与压力因素的实践中所发挥的作用。本研究涵盖农村家庭所识别出的、与COVID-19、气候、健康及其他各类挑战相关的各类压力因素。 数据集涵盖以下内容： - 村落层面信息：包含人口统计特征、基础设施状况与自然资源情况 - 负责生计支持与适应响应工作的村级制度组织 - 上述村级制度组织间的互动关系网络 - 农户层面信息：包含人口统计特征、生计状况、与各类制度组织的互动情况、遭遇的冲击与压力因素，以及针对这些压力因素的应对举措 农户层面数据通过高频次回访采集（约每月一次），以获取该自然年内压力因素与应对举措的详细信息。 本数据集共纳入480户农户，嵌套分布于喜马拉雅地区的16个地方行政单元中，其中包括印度北部喜马偕尔邦康格拉县的8个村落，以及尼泊尔中东部的杜利凯尔县与拉梅查普县的相关村落。 通过该自然年内的多次回访，本研究共收集到8694项农户自我报告的冲击与压力因素（即「威胁事件」），其中印度境内3550项、尼泊尔境内5144项；同时收集到5859项针对这些威胁事件的应对与适应举措，其中印度境内2553项、尼泊尔境内3306项。