Browsing by Author "S. R. Devegowda"

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Analysing Absenteeism in Agriculture: A Dialogue-Based Study using Phi(Φ) Correlation Coefficients
(Indian Society of Agricultural Economics, 2025) Sachin Rathour; Sonal Pandey; Prakash Singh Badal; Virendra Kamalvanshi; Saket Kushwaha; S. R. Devegowda
This study examines absentee landlordism within the agricultural sector and explores the sentiments of farmers regarding this phenomenon. Employing descriptive analysis, TextBlob sentiment analysis, topic modeling, and Phi (Φ) correlation coefficients, the study uncovers significant interdependencies among these factors. Topic modeling analysis reveals farmers’ key concerns and aspirations, shedding light on their perspectives toward agriculture. While notable hardships persist, farmers maintain a constructive outlook. Drawing on responses from samples, the research identifies key factors driving declining engagement in farming, such as stable alternative income sources, wildlife threats, and high agricultural input costs. Results indicate strong correlations between absenteeism and economic stability, rural-to-urban migration, urbanization, and wildlife-related challenges. The findings highlight that off-farm income opportunities, environmental uncertainties, and inadequate rural infrastructure are primary drivers of absenteeism, prompting rural populations to seek urban livelihoods. Challenges like land fragmentation and poor living standards further impede agricultural sustainability, whereas modern agricultural technologies exhibit minimal influence. © 2025 Indian Society of Agricultural Economics. All rights reserved.
Resource use efficiency and yield determinants in rapeseed-mustard cultivation: an integrated approach using Cobb-Douglas, Monte Carlo, and sensitivity analysis
(Frontiers Media SA, 2025) Sachin Rathour; Meera Kumari; Prakash Singh Badal; Virendra Kamalvanshi; Saket Kushwaha; H. S. Jatav; S. R. Devegowda
Rapeseed-mustard (Brassica spp.) is one of the most significant oilseed crops globally, with India being a major contributor, accounting for 11% of world production. Despite advancements in mustard cultivation practices, there remains a lack of comprehensive analysis integrating resource efficiency and input interactions to optimize yields sustainably. Furthermore, limited studies have employed advanced methodologies to assess the impacts of input uncertainties on yield stability and risk management. Therefore, the study evaluated the resource use efficiency in mustard cultivation through the Cobb-Douglas production function, Monte Carlo simulations, offering insights into input utilization and yield variability under uncertain conditions and sensitivity analysis for specific inputs’ contribution to yield. Results revealed imbalances in resource utilization; land and soil qualities are underutilized, while labor, plant protection chemicals, and machinery are overutilized. Fertilizer and seed inputs emerged as significant positive influencers of yield, with sulphur and fertilizer identified as critical factors through sensitivity analysis. Monte Carlo demonstrates yield stability, predicting a 100% probability of achieving at least 6 quintals per acre (1483 Kg/ha) under current input conditions. Policymakers can design targeted interventions to reduce regional productivity disparities and foster sustainable growth in the rapeseed-mustard sector. Findings also underscore the need for optimizing input utilization to balance economic, agronomic, and environmental outcomes, as well as adopting better practices for India’s oilseed sector. © © 2025 Rathour, Kumari, Singh Badal, Kamalvanshi, Kushwaha, Jatav and Devegowda.