Year: 2026 | Month: June | Volume 71 | Issue 2

Assessment of Marketed Surplus and Marketing Efficiency of Rice in Banda District, Uttar Pradesh

Prachi Singh1 Rahul Kumar Rai2 Rakesh Singh1 Shalini Dash3 and Vijay Kumar Saran1*
DOI:10.46852/0424-2513.2.2026.5

Abstract:

Rice is a vital cereal crop that sustains more than half of the global population and remains central to India’s food security and rural economy. As the world’s second-largest rice producer, India relies heavily on this crop for livelihoods and agricultural income. This study examines the marketed surplus and marketing efficiency of rice across different farm-size categories in Banda district, Uttar Pradesh. Primary data were collected from 160 rice-growing households through stratified random sampling in two purposively selected blocks, Baberu and Naraini. The findings reveal significant variation in marketed surplus across farm sizes, with large farms marketing 205.57 quintals, medium farms 116.07 quintals, small farms 27.67 quintals, and marginal farms 8.44 quintals. Marginal farmers frequently sold beyond their marketable surplus, indicating financial stress and the need for liquidity. A multiple linear regression analysis was carried out to identify the determinants of marketed surplus across farm categories. Among three identified marketing channels, Channel II (producer → wholesaler → retailer → consumer) accounted for 57.8% of total sales, while Channel III (direct producer → consumer) exhibited the highest producer price share (96.45%) and marketing efficiency (27.26). The study underscores the importance of promoting shorter marketing chains, farmer cooperatives, and improved access to market information to enhance efficiency and farmer welfare in the rice sector.

Highlights

  • Shorter marketing chains substantially improve farmers’ income and marketing efficiency, with the direct producer-to-consumer channel performing best.
  • Significant disparities exist across farm sizes, as marginal farmers sell beyond their marketable surplus due to financial distress.
  • Regression analysis shows production is the dominant, statistically significant driver of marketed surplus across all farm categories, explaining over 99 percent of variation among marginal, small and medium farms, with a comparatively weaker fit among large farms (R² = 0.818) reflecting the smaller sample size in that category.




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Economic Affairs, Quarterly Journal of Economics| In Association with AESSRA

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