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

Harry Fischer; Dil Khatri; Forrest Fleischman; Divya Gupta; Suchita Shrestha; Kamal Devkota; Roshani Bulkunde; Devanshi Singh; Binod Adhikari; Parbati Pandey; Rajesh Rana; Vijay Guleria

doi:10.5878/4s7a-c964

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

https://doi.org/10.5878/4s7a-c964

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).

Ladda ner dokumentation (21 filer / 2.07 MiB)

Dokumentationsfiler

00_README.txt
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01_village_.pdf
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01_village_2.pdf
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02_inst_.pdf
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02_inst_action.pdf
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02_inst_network.pdf
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03_Household_m1.pdf
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03_Household_m10.pdf
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03_Household_m2.pdf
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03_Household_m3.pdf
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03_Household_m4.pdf
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03_Household_m5.pdf
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03_Household_m6.pdf
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03_Household_m7.pdf
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03_Household_m8.pdf
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03_Household_m9.pdf
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04_threat_m1-10.pdf
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05_response_m1-10.pdf
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06_livelihood_action_m2-10.pdf
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07_master code sheet Nepal.xlsx
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07_master code sheet_India_.xlsx
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Citering och åtkomst

Tillgänglighetsnivå:

Access to data is restricted

Skapare/primärforskare:

Harry Fischer – Swedish University of Agricultural Sciences - Department of Forest Ecology and Management
Opens a new window at orcid.org.
ORCID
Dil Khatri – South Asia Institute of Advanced Studies
Opens a new window at orcid.org.
ORCID
Forrest Fleischman – University of Minnesota
Opens a new window at orcid.org.
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 - Department of Urban and Rural Development
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)

Forskningshuvudman:

Swedish University of Agricultural Sciences
Opens a new window at ror.org.
ROR

Diarienummer hos huvudman:

SLU.sol.2023.IÄ-21

Data innehåller 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 känsliga personuppgifter:

Ja

Data innehåller annan skyddsvärd information:

Ja

Typ av skyddsvärd information:

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.

Citering:

Språk:

English

Metod och utfall

Analysenhet:

Household

Population:

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

Tidsdimension:

Urvalsmetod:

Beskrivning av 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 - Self-administered questionnaire: Paper

Insamlingsmetod:

Self-administered questionnaire: Paper

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:

Swedish University of Agricultural Sciences
Opens a new window at ror.org.
ROR

Urvalsstorlek:

480

Antal svar:

480

Datakälla:

Population group

Geografisk täckning

Geografisk plats:

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

Etikprövning

Utförare:

Swedish Ethical Review Authority
components.catalogue.resource.content.administrativeInformation.ethicalReview.rorId.srText
ROR

Diarienummer:

2020-00944

Finansiering

Finansiär:

Swedish Research Council
Opens a new window at ror.org.
ROR

Referensnummer:

2018-05875

Projektnamn på ansökan: