Summary information

Study title

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

Creator

Fischer, Harry (Department of Forest Ecology and Management, Swedish University of Agricultural Sciences)
Khatri, Dil (South Asia Institute of Advanced Studies)
Fleischman, Forrest (University of Minnesota)
Gupta, Divya (Binghamton University)
Shrestha, Suchita (University of Melbourne)
Devkota, Kamal (KU Leuven)
Bulkunde, Roshani (Georgia Institute of Technology)
Singh, Devanshi (University of California Berkeley)
Adhikari, Binod (Department of Urban and Rural Development, Swedish University of Agricultural Sciences Uppsala)
Pandey, Parbati (Southasia institute of advanced studies)
Rana, Rajesh (Kangra Integrated Sciences and Adaptation Network (KISAN))
Guleria, Vijay (Kangra Integrated Sciences and Adaptation Network (KISAN))

Study number / PID

2023-213-1 (SND)

SLU.sol.2023.IÄ-21 (slu.se)

https://doi.org/10.5878/4s7a-c964 (DOI)

Data access

Restricted

Series

Not available

Abstract

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).

Methodology

Data collection period

01/04/2020 - 01/05/2021

Country

India, Nepal

Time dimension

Time series
Time series: Discrete

Analysis unit

Household

Universe

The population comprises households in rural India (Sirmaur and Chamba Districts) and Nepal (Ramechhap and Khavre Districts).

Sampling procedure

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 random

Kind of data

Not available

Data collection mode

Survey were conducted by trained field-staff who visited respondents in their homes.
Self-administered questionnaire: paper

Funding information

Funder

Swedish Research Council

Grant number

2018-05875

Access

Publisher

Swedish National Data Service

Publication year

2025

Terms of data access

Access to data through SND. Access to data is restricted.

Related publications

Not available