Institutional and grassroots disconnect in jute marketing: A multidimensional analysis of information dissemination gap in west Bengal using feature engineering

Jute, as a strategic fibre crop in the agrarian landscape of West Bengal, continues to face substantial impediments in marketing efficiency, primarily due to a persistent disjunction between the availability of market-related information and its actual assimilation at the grassroots level. The present study was conducted to systematically explore and quantify this information asymmetry by adopting a comparative framework between institutional supply and farmer-level accessibility of jute marketing information. A multi-stage stratified purposive sampling design was employed, encompassing 275 jute-growing farmers across 12 blocks in four jute-producing districts-Murshidabad, Nadia, Purba Burdwan, and Cooch Behar-and 30 officials representing agricultural marketing departments, cooperatives, and extension systems. A multidimensional interview schedule operationalizing 30 distinct categories of marketing information was administered, with established validity and reliability. All informational variables were normalized using z-score transformation, and normality tests (Shapiro-Wilk and Anderson-Darling) were conducted to guide appropriate inferential pathways. Advanced statistical methods-including Cohen’s d, Cliff’s Delta, bootstrap confidence intervals, empirical cumulative distribution divergence, overlap coefficient, Kullback-Leibler divergence, Wasserstein distance and lasso regression-were employed. Findings revealed a substantial perceptual and functional gap between the information availability and accessibility along with significant predictors of the both domains. The study recommends a targeted feature specific reorientation of extension strategies through digital inclusion, localized market intelligence, and decentralized policy dissemination, while integrating machine learning-based decision support tools to address context-specific informational deficits in jute marketing systems.

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Publication Details

Journal
International Journal of Agriculture and Food Science
Published
2025-01-01
DOI
https://doi.org/10.33545/2664844x.2025.v7.i7b.507
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Institutional and grassroots disconnect in jute marketing: A multidimensional analysis of information dissemination gap in west Bengal using feature engineering

Debabrata Basu, Shivani Thakur
International Journal of Agriculture and Food Science
Agricultural Economics and Practices
article

Institutional and grassroots disconnect in jute marketing: A multidimensional analysis of information dissemination gap in west Bengal using feature engineering

Debabrata Basu, Shivani Thakur
article en

Abstract

Jute, as a strategic fibre crop in the agrarian landscape of West Bengal, continues to face substantial impediments in marketing efficiency, primarily due to a persistent disjunction between the availability of market-related information and its actual assimilation at the grassroots level. The present study was conducted to systematically explore and quantify this information asymmetry by adopting a comparative framework between institutional supply and farmer-level accessibility of jute marketing information. A multi-stage stratified purposive sampling design was employed, encompassing 275 jute-growing farmers across 12 blocks in four jute-producing districts-Murshidabad, Nadia, Purba Burdwan, and Cooch Behar-and 30 officials representing agricultural marketing departments, cooperatives, and extension systems. A multidimensional interview schedule operationalizing 30 distinct categories of marketing information was administered, with established validity and reliability. All informational variables were normalized using z-score transformation, and normality tests (Shapiro-Wilk and Anderson-Darling) were conducted to guide appropriate inferential pathways. Advanced statistical methods-including Cohen’s d, Cliff’s Delta, bootstrap confidence intervals, empirical cumulative distribution divergence, overlap coefficient, Kullback-Leibler divergence, Wasserstein distance and lasso regression-were employed. Findings revealed a substantial perceptual and functional gap between the information availability and accessibility along with significant predictors of the both domains. The study recommends a targeted feature specific reorientation of extension strategies through digital inclusion, localized market intelligence, and decentralized policy dissemination, while integrating machine learning-based decision support tools to address context-specific informational deficits in jute marketing systems.

International Journal of Agriculture and Food ScienceVol. 7(7)
Openalex Percentile: Top 73%
Agricultural Economics and Practices
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