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<p>The present study examines the relationship between food supply chain practices (FSC) and farmers’ income, focusing on the role of various supply chain (SC) antecedents and farmers’ access to agricultural technologies. The data were collected from 198 farmers through a survey, and the proposed relationships were analysed using partial least squares structural equation modelling (PLS-SEM). Predictive relevance of the model was assessed using the PLS-predict procedure, while importance-performance map analysis (IPMA) was applied to identify the most influential FSC antecedents. The findings reveal that key antecedents (modern processing methods and standardised quality control procedures) significantly improve the adoption of FSC practices and positively influence farmers’ income. Farmers’ access to appropriate agricultural technologies further strengthens the relationship between FSC practices and farmers’ income positively, indicating a moderating effect rather than a universally assumed benefit of technology. The findings also highlight that income gains from FSC practices are contingent not only on their adoption but also on farmers’ technological access and capability. This study contributes to the literature by offering a nuanced, context-specific understanding of how FSC practices and technology jointly shape income outcomes. The study also provides important implications for policymakers and FSC stakeholders seeking to promote inclusive and sustainable agricultural development in India.</p>

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Analysing Variables of Food Supply Chain Practices for Sustainable Income Growth: Perspectives from Indian Farmers

  • 期刊论文

  • 发表日期：

    2026年6月24日

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  • Indu Saini,
  • Ashwani Panesar,
  • Maninder Singh,
  • Mahender Singh Kaswan

摘要

The present study examines the relationship between food supply chain practices (FSC) and farmers’ income, focusing on the role of various supply chain (SC) antecedents and farmers’ access to agricultural technologies. The data were collected from 198 farmers through a survey, and the proposed relationships were analysed using partial least squares structural equation modelling (PLS-SEM). Predictive relevance of the model was assessed using the PLS-predict procedure, while importance-performance map analysis (IPMA) was applied to identify the most influential FSC antecedents. The findings reveal that key antecedents (modern processing methods and standardised quality control procedures) significantly improve the adoption of FSC practices and positively influence farmers’ income. Farmers’ access to appropriate agricultural technologies further strengthens the relationship between FSC practices and farmers’ income positively, indicating a moderating effect rather than a universally assumed benefit of technology. The findings also highlight that income gains from FSC practices are contingent not only on their adoption but also on farmers’ technological access and capability. This study contributes to the literature by offering a nuanced, context-specific understanding of how FSC practices and technology jointly shape income outcomes. The study also provides important implications for policymakers and FSC stakeholders seeking to promote inclusive and sustainable agricultural development in India.