Spatial Disparities and Performance Typologies in Crop Yields: A District-Level Comparative Analysis of Haryana, India (2006–2022)

Abstract

This study presents a comprehensive district-wise analysis of crop yield trends in Haryana, India, over the period 2006–2022. Drawing on secondary data for six major crops—wheat, rice, bajra, mustard, cotton, and sugarcane—the research employs statistical indicators such as mean yield, coefficient of variation (CV), and linear trend slopes to assess spatial disparities and temporal changes in agricultural performance. The results reveal marked heterogeneity across districts, with northeastern regions like Karnal, Kaithal, and Kurukshetra consistently outperforming others in terms of yield and stability. In contrast, districts such as Mewat, Rewari, and Charkhi Dadri exhibit low yields, high volatility, and declining trends. Cross-crop synthesis and typological classification further underscore the existence of high-performing, vulnerable, and transition zones within the state. The study advocates for spatially differentiated agricultural policies that support sustainable intensification, climate resilience, and region-specific interventions.