Perceived Constraints among Dairy Farmers in Eastern India Using Logistic Regression
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Keywords:
constraints, farmers, dairy, Logistics Regression, Rural dvelopment, AgricultureAbstract
The dairy sector plays a crucial role in sustaining rural livelihoods, especially among the small and marginal farmers, by providing food security, nutrition, and a regular source of income. However, these farmers often face a variety of structural and operational constraints that hinder their growth and economic development. This study investigated the key perceived constraints experienced by selected 270 Marginal-Small (MS) dairy farmers of Eastern Uttar Pradesh in the year 2024, selected through multistage stratified purposive-cum-random sampling, using logistic regression analysis. Among these, the high insurance charges emerged as the most severe factor, increasing the odds of constraint by 17 times. The model was well-fitted as indicated by a Hosmer and Lemeshow test value of 0.201 and Nagelkerke R² of 0.326, explaining about 32.6% of variance in constraints faced. The study concludes that targeted policy reforms are needed to address critical bottlenecks in the dairy sector. Overall, the findings reinforce the importance of a need-based and evidence-driven approach for inclusive rural development through dairy enterprise support.
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