Evidence map›Paper›PMID 42103844›Full record

ArticleScientific reports2026

Interdependent adoption of climate change adaptation strategies among rice farmers in northwest Bangladesh.

Md Shohidul Islam, Bikash Chandra Ghosh, Apurba Adhikary

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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.

Md Shohidul IslamDepartment of Economics, Pabna University of Science and Technology, Pabna, 6600, Bangladesh.
Bikash Chandra GhoshDepartment of Economics, Pabna University of Science and Technology, Pabna, 6600, Bangladesh. bikasheco@pust.ac.bd.
Apurba AdhikaryDepartment of Economics, Pabna University of Science and Technology, Pabna, 6600, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Climate variability poses serious threats to agricultural productivity and food security, particularly for smallholder rice farmers in climate-vulnerable regions such as northwest Bangladesh. This study examines the adoption of multiple climate change adaptation strategies among smallholder rice farmers in this region. Using a multistage sampling technique, data were collected from 498 farmers. A multivariate probit model and a fractional response model were applied to analyze both the determinants and intensity of adoption of key strategies, including adjusting planting dates, integrated pest management, tolerant rice varieties, improved rice varieties, and rice straw mulching. This joint modeling framework captures interdependence among strategies and provides deeper insights than single-strategy approaches. Robustness was checked using a multinomial logistic regression model. The results indicate that socio-economic factors such as farming experience, access to credit, and membership in farmer groups significantly influence adoption behavior. Strong complementarities among adaptation strategies are also observed, suggesting that farmers tend to adopt these practices in bundles rather than individually. The findings contribute to the literature by highlighting the effectiveness of bundled adaptation strategies in enhancing resilience. They offer important policy implications for designing integrated and context-specific interventions to strengthen adaptive capacity and promote resilient agricultural systems in climate-exposed regions.

Indexed as

AgricultureClimate ChangeFarmersOryzaBangladeshHumansAdoption strategiesClimate changeFractional response modelMultivariate probit modelNorthwestern Bangladesh

Identifiers

PMID42103844
PMCPMC13350961

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LicenceCC BY-NC-ND
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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.