Determinants of Food Insecurity in the Sundarbans: Multinomial Logit Approach Apropos the Food Insecurity Experience Scale

dc.contributor.authorSamadder, Sen_US
dc.contributor.authorLal, SPen_US
dc.contributor.authorPrakash, Sen_US
dc.contributor.authorSingh, KM.en_US
dc.date.accessioned2025-06-18T11:04:52Z
dc.date.available2025-06-18T11:04:52Z
dc.date.issued2025-04
dc.description.abstractAims: This study examines socio-economic and demographic determinants of food insecurity in the Sundarbans region using a multinomial logistic regression model, aiming to identify key determinants of food insecurity levels. Study Design: A cross-sectional analytical study employing multinomial logistic regression to assess categorical predictors of food insecurity. Place and Duration of Study: Data were collected over six months (January 2024–December 2024 at regular intervals) across 11 blocks in South and North 24 Parganas, such as Gosaba, Basanti, Kakdwip, and Sagar. Methodology: Structured interviews with 300 randomly selected respondents representing diverse livelihood groups provided socio-economic and environmental data, including household income, cultivated land, indebtedness, and extension services participation. Food insecurity was categorized into food secure, moderately food insecure, and food insecure, and analyzed via multinomial logistic regression. Results: The model demonstrated 80.9% overall predictive accuracy, correctly classifying 78.9% of food-secure households, 91.7% of moderately food-insecure households, and 39.5% of severely food-insecure households. Protective factors like cultivated land access, household education, and social capital mitigated food insecurity, while indebtedness and skipped meals increased food vulnerability. Agricultural extension services and in-kind transfers were effective interventions for food insecurity. Pseudo R-squared values (Nagelkerke: 0.663) confirmed explanatory strength. A one-unit increase in cultivated land reduced food insecurity odds by 91.3% (OR, 0.087; 95% CI 0.020–0.384, p<0.001). Policy Implications: The findings offer actionable policy insights to enhance food security in vulnerable regions. Conclusion: Combating food insecurity in the Sundarbans requires integrated strategies improving land access, debt alleviation, education, and social networks, alongside sustainable practices, ensuring equitable food systems.en_US
dc.identifier.affiliationsDepartment of Agricultural Extension Education, Post Graduate College of Agriculture (PGCA), Dr. Rajendra Prasad Central Agricultural University, Pusa – 848125, Indiaen_US
dc.identifier.affiliationsDepartment of Agricultural Extension Education, Post Graduate College of Agriculture (PGCA), Dr. Rajendra Prasad Central Agricultural University, Pusa – 848125, Indiaen_US
dc.identifier.affiliationsDepartment of Agricultural Extension Education, Post Graduate College of Agriculture (PGCA), Dr. Rajendra Prasad Central Agricultural University, Pusa – 848125, Indiaen_US
dc.identifier.affiliationsDepartment of Agricultural Economics, Post Graduate College of Agriculture (PGCA), Dr. Rajendra Prasad Central Agricultural University, Pusa – 848125, India.en_US
dc.identifier.citationSamadder S, Lal SP, Prakash S, Singh KM.. Determinants of Food Insecurity in the Sundarbans: Multinomial Logit Approach Apropos the Food Insecurity Experience Scale . European Journal of Nutrition and Food Safety. 2025 Apr; 17(4): 204-215en_US
dc.identifier.issn2347-5641
dc.identifier.placeIndiaen_US
dc.identifier.urihttps://imsear.searo.who.int/handle/123456789/248191
dc.languageenen_US
dc.publisherMs. M. B. Mondalen_US
dc.relation.issuenumber4en_US
dc.relation.volume17en_US
dc.source.urihttps://doi.org/10.9734/ejnfs/2025/v17i41692en_US
dc.subjectCultivated landen_US
dc.subjectfood insecurityen_US
dc.subjectmultinomial logistic regressionen_US
dc.subjectodds ratioen_US
dc.subjectsocio-economic determinantsen_US
dc.subjectsundarbansen_US
dc.subjectvulnerability assessmenten_US
dc.titleDeterminants of Food Insecurity in the Sundarbans: Multinomial Logit Approach Apropos the Food Insecurity Experience Scaleen_US
dc.typeJournal Articleen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
ejnfs2025v17n4p204.pdf
Size:
507.3 KB
Format:
Adobe Portable Document Format