A multiple regression model to analyze the impact of endogenous factors on pearl millet and stover yield in India

Purpose The purpose of the study is to explore the impact of endogenous (farmer-controlled) factors on both pearl millet and stover yield. Design/methodology/approach The study uses descriptive and inferential statistics to analyze farmer-controlled factors affecting pearl millet and stover yields, based on 473 survey responses from Rajasthan’s semiarid zones, analyzed with Minitab 21.4. Findings The descriptive results indicate widespread use of desi seeds (77.4%) and organic fertilizers (67.4%), extensive crop rotation (78%), low intercropping (12%) and extensive dependence on rainfall (70%). The multiple regression analysis indicates irrigation frequency, seed type, fertilizer type and crop rotation as major drivers of yield. The most efficient combination of hybrid seeds, inorganic fertilizers, intercropping and high irrigation frequency yields the best yields. The least efficient combination of desi seeds, no fertilizer, no intercropping and very low irrigation frequency yields low yield levels. The findings validate targeted input strategies and policy reforms. Research limitations/implications This study emphasizes both pearl millet and stover yield, offering a balanced approach that boosts food security and supports livestock feed, essential to India’s agricultural economy. Practical implications The outcomes of the study will show the path for the farmers in the semiarid zone to operate different factors for maximum return from dependent variables. Originality/value The findings provide valuable guidance for farmers and agricultural policymakers aiming to optimize agricultural practices for improved productivity in pearl millet and stover production.