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

SND-ID: 2023-213. Version: 1. DOI: https://doi.org/10.5878/4s7a-c964

Citering

Skapare/primärforskare

Harry Fischer - Sveriges lantbruksuniversitet, Institutionen för skogens ekologi och skötsel orcid

Dil Khatri - South Asia Institute of Advanced Studies orcid

Forrest Fleischman - University of Minnesota orcid

Divya Gupta - Binghamton University

Suchita Shrestha - University of Melbourne

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Harry Fischer - Sveriges lantbruksuniversitet, Institutionen för skogens ekologi och skötsel orcid

Dil Khatri - South Asia Institute of Advanced Studies orcid

Forrest Fleischman - University of Minnesota orcid

Divya Gupta - Binghamton University

Suchita Shrestha - University of Melbourne

Kamal Devkota - KU Leuven

Roshani Bulkunde - Georgia Institute of Technology

Devanshi Singh - University of California Berkeley

Binod Adhikari - Swedish University of Agricultural Sciences Uppsala, Institutionen för stad och land

Parbati Pandey - Southasia institute of advanced studies

Rajesh Rana - Kangra Integrated Sciences and Adaptation Network (KISAN)

Vijay Guleria - Kangra Integrated Sciences and Adaptation Network (KISAN)

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Forskningshuvudman

Sveriges lantbruksuniversitet - Institutionen för stad och land rorId

Diarienummer hos huvudman

SLU.sol.2023.IÄ-21

Beskrivning

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.

... Visa mer..
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). Visa mindre..

Data innefattar personuppgifter

Ja

Data innehåller känsliga personuppgifter

Ja

Typ av personuppgifter

Data contains personal data about household demographics, livelihoods, socio-economic and environmental stressors, and interaction with political actors and public institutions.

Kodnyckel existerar

Ja

Data innehåller annan skyddsvärd information

Ja: Data contains information about household ethnicity & caste, interactions with political actors, and details about personal challenges and losses, data which is sensitive and needs to be protected.

Språk

Metod och utfall

Analysenhet

Population

Populationen består av hushåll på landsbygden i Indien (Sirmaur- och Chamba-distrikten) och Nepal (Ramechhap- och Khavre-distrikten).

Urvalsmetod

Sannolikhetsurval: obundet slumpmässigt urval
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.

Tidsperiod(er) som undersökts

2020-03-15 – 2021-04-30

Dataformat / datastruktur

Datainsamling
  • Insamlingsmetod: Självadministrerat frågeformulär: papper
  • Beskrivning av insamlingsmetod: Survey were conducted by trained field-staff who visited respondents in their homes.
  • Tidsperiod(er) för datainsamling: 2020-04-01 – 2021-05-01
  • Datainsamlare: Sveriges lantbruksuniversitet rorId
  • Urvalsstorlek: 480
  • Antal svar: 480
  • Datakälla: Befolkningsgrupp
Geografisk täckning

Geografisk utbredning

Geografisk plats: Indien, Nepal

Geografisk beskrivning: Data was collected in the Kavre and Ramechhap Districts of Nepal and Sirmaur and Chamba Districts of Himachal Pradesh, India

Lägsta geografiska enhet

Kommun

Högsta geografiska enhet

Kommun

Administrativ information

Ansvarig institution/enhet

Institutionen för stad och land

Finansiering

  • Finansiär: Vetenskapsrådet rorId
  • Diarienummer hos finansiär: 2018-05875
  • Projektnamn på ansökan: Institutional networks and self-organized adaptation: Tracing the democratic architectures of climate response

Etikprövning

Etikprövningsmyndigheten - dnr 2020-00944

Ämnesområde och nyckelord

Forskningsområde

Naturlandskap (CESSDA Topic Classification)

Regering, politiska system och organisationer (CESSDA Topic Classification)

Samhällsvetenskap (Standard för svensk indelning av forskningsämnen 2011)

Kulturgeografi (Standard för svensk indelning av forskningsämnen 2011)

Tvärvetenskapliga studier inom samhällsvetenskap (Standard för svensk indelning av forskningsämnen 2011)

Sociala förhållanden och indikatorer (CESSDA Topic Classification)

Ekonomiska förhållanden och indikatorer (CESSDA Topic Classification)

Publikationer
Publicerad: 2025-03-26