Institutionella nätverk och självorganiserande anpassning: Att spåra den demokratiska arkitekturen för klimatrespons

DOI

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).

Villages were selected purposefully to include localities that survey staff could access during the pandemic, at a time when travel was tightly restricted. Most of our survey staff were living in rural villages at the time of the survey, and we therefore selected their home villages. Within each villages, we selected 30 households randomly from the government records to administer household surveys.Villages were selected purposefully to include localities that survey staff could access during the pandemic, at a time when travel was tightly restricted. Most of our survey staff were living in rural villages at the time of the survey, and we therefore selected their home villages. Within each villages, we selected 30 households randomly from the government records to administer household surveys.

Probability: Simple randomProbability: Simple random

Sannolikhetsurval: obundet slumpmässigt urvalSannolikhetsurval: obundet slumpmässigt urval

Survey were conducted by trained field-staff who visited respondents in their homes.Survey were conducted by trained field-staff who visited respondents in their homes.

Self-administered questionnaire: paperSelf-administered questionnaire: paper

Självadministrerat frågeformulär: papperSjälvadministrerat frågeformulär: papper

Identifier
DOI https://doi.org/10.5878/4s7a-c964
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=1efe550823dd605ac38fe0bd6483d0beae7d6eb17cd344d9cd9f47c204e56620
Provenance
Creator Fischer, Harry; Khatri, Dil; Fleischman, Forrest; Gupta, Divya; Shrestha, Suchita; Devkota, Kamal; Bulkunde, Roshani; Singh, Devanshi; Adhikari, Binod; Pandey, Parbati; Rana, Rajesh; Guleria, Vijay
Publisher Swedish National Data Service; Svensk nationell datatjänst
Publication Year 2025
Rights Access to data through SND. Access to data is restricted.; Åtkomst till data via SND. Tillgång till data är begränsad.
OpenAccess false
Contact https://snd.se
Representation
Discipline Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Economics; Geography; Geosciences; Geospheric Sciences; Life Sciences; Natural Sciences; Social Sciences; Social and Behavioural Sciences; Soil Sciences
Spatial Coverage India; Indien; Nepal; Nepal