Evidence map›Paper›PMID 39927352›Full record

ArticleOpen veterinary journal2024

Gender perspective on climate change adaption strategies in livestock farming in Gandaki Province, Nepal.

K C Vikash Kumar, Ananta Raj Dhungana, Purna Bahadur Khand

Abstract read
In one paragraph

Article in Open veterinary journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

K C Vikash KumarPrithvi Narayan Campus, Tribhuvan University , Pokhara, Nepal.
Ananta Raj DhunganaSchool of Development and Social Engineering, Pokhara University, Pokhara, Nepal.
Purna Bahadur KhandSchool of Business, Pokhara University, Pokhara, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Climate change has a significant impact on livestock farming around the globe. Farmers have adopted different strategies to mitigate the adverse impact of climate change. Females in developing countries are more vulnerable to climate change impacts and have lower adaptive capacity and they bear additional roles and responsibilities in livestock rearing compared to their male counterparts. Aim: The main aim of this study is to examine the gender perspective on climate change adoption strategies in livestock farming in Gandaki province, Nepal. Methods: A multistage random sampling technique was employed to select 1,158 households from five districts in Gandaki province, western Nepal. A household head or household member who was 45 years or older resided in that area for at least 15 years and owned at least one primary livestock at the time of the survey was selected as the ultimate respondent from each selected household. Both structured and unstructured questionnaires were prepared. A structured questionnaire was used for the household survey, while a checklist (guideline) was prepared for focus group discussions. Data were collected through face-to-face interviews, and both descriptive and inferential statistics were used for data analysis. Results: The results revealed that buffalo was the primary livestock among farmers. More than half of farmers, both men and women were aware of the impact of climate change on livestock. While this study did not find significant gender-based differences in adaptation strategies, the odds of adoption are higher among males than females. Jobs other than agriculture and livestock, as well as access to credit, emerged as key determining factors associated with adaptation strategies among farmers in Gandaki province. Conclusion: There is no significant gender-based difference in adaptation strategies; however, employment outside agriculture and livestock, along with access to credit, are the key determining factors associated with adaptation strategies.

Indexed as

Animal HusbandryClimate ChangeFarmersLivestockAdultAnimalsFemaleHumansMaleMiddle AgedNepalSex FactorsSurveys and QuestionnairesAdaptationclimate changegenderlivestock

Identifiers

PMID39927352
PMCPMC11799652

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.