Determinants of Livestock Insurance Adoption by Dairy Cattle Farmers of Nawalpur District, Nepal

Livestock farming faces inherent vulnerabilities, such as disease outbreaks and natural disasters. The utilization of livestock insurance can play a crucial role in alleviating risks and uncertainties associated with farming practices, ultimately fostering security for farmers. The research was carried out purposively in Nawalpur district during 2022 to identify the factors affecting adoption of livestock insurance among dairy cattle farmers. One hundred and twenty dairy cattle farmers were selected randomly from the study area. Primary data were collected using pretested semi-structured interview schedule, Focus Group Discussion and Key Informant Interview. Descriptive statistics and probit model were used to interpret the findings. Findings from the research revealed that age, membership in farmer’s organization, contact with extension worker and rearing of improved breed were statistically significant in the adoption of livestock insurance. Extension agencies of government, non-governmental institution and insurance companies should primarily focus on farmers who are old aged, rear improved breed, participate in farmer’s organization and have regular contact with extension worker for better adoption.

Authors

Institutions

Publication Details

Journal
NPI Journal of Science and Technology.
Published
2024-08-20
DOI
https://doi.org/10.3126/npijst.v1i1.68937
Citations
1
Primary Topic
Agricultural risk and resilience
Type
article
Field-Weighted Citation Impact
0.33
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of Livestock Insurance Adoption by Dairy Cattle Farmers of Nawalpur District, Nepal

Bhogendra Mishra, O. P. Singh
1 citations
NPI Journal of Science and Technology.
Agricultural risk and resilience
0.33
article

Determinants of Livestock Insurance Adoption by Dairy Cattle Farmers of Nawalpur District, Nepal

Bhogendra Mishra, O. P. Singh
article en
1 citations

Abstract

Livestock farming faces inherent vulnerabilities, such as disease outbreaks and natural disasters. The utilization of livestock insurance can play a crucial role in alleviating risks and uncertainties associated with farming practices, ultimately fostering security for farmers. The research was carried out purposively in Nawalpur district during 2022 to identify the factors affecting adoption of livestock insurance among dairy cattle farmers. One hundred and twenty dairy cattle farmers were selected randomly from the study area. Primary data were collected using pretested semi-structured interview schedule, Focus Group Discussion and Key Informant Interview. Descriptive statistics and probit model were used to interpret the findings. Findings from the research revealed that age, membership in farmer’s organization, contact with extension worker and rearing of improved breed were statistically significant in the adoption of livestock insurance. Extension agencies of government, non-governmental institution and insurance companies should primarily focus on farmers who are old aged, rear improved breed, participate in farmer’s organization and have regular contact with extension worker for better adoption.

NPI Journal of Science and Technology.
Agriculture and Forestry University (NP)
Climate action
Openalex Percentile: Top 35%
Agricultural risk and resilience
0.33
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Determinants of Livestock Insurance Adoption by Dairy Cattle Farmers of Nawalpur District, Nepal — Bhogendra Mishra, O. P. Singh · NPI Journal of Science and Technology. (2024) | TGRS Research Map | TGRS