Impact of Covid-19 on Farmers' Behavior in Chikkaballapur District, Karnataka, India

M. S., S. K. Acharya, Amitava Biswas, Mohanraj M., Mohamed Aseemudheen M.
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Abstract

This study explored how COVID-19 affected farmers in Chikkaballapur District, Karnataka, India. Using an ex-post-facto research design, data were collected from 50 randomly selected farmers through a pretested structured interview schedule. The goal was to understand their perceptions of the pandemic's impact on farming, productivity, economy, markets, labour, and community well-being. Statistical methods like mean, standard deviation, coefficient of variation, correlation, and multiple regression analysis were used to analyse the relationships between various factors. The findings showed significant variability in farm size and income, indicating a wide range of differences among farmers. Notably, changes in economic factors were significantly related to farm size, while changes in production were significantly related to education. Health and sanitation were negatively correlated with changes in farm technology, suggesting that better infrastructure could influence the adoption of new technologies. Age and education significantly impacted changes in farm management, highlighting the importance of demographic factors in farming decisions. The study emphasized the complex effects of the pandemic on farming practices and highlighted the need for targeted interventions. Recommendations include financial support programs, improved market access, promotion of digital tools, and diversified cropping strategies to help farmers build resilience and sustainability. These measures aim to reduce the adverse effects of crises and improve the overall well-being of farming communities.
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Covid-19 对印度卡纳塔克邦 Chikkaballapur 地区农民行为的影响
本研究探讨了 COVID-19 对印度卡纳塔克邦 Chikkaballapur 地区农民的影响。研究采用事后研究设计,通过预先测试的结构化访谈表,从随机抽取的 50 名农民中收集数据。目的是了解他们对大流行病对农业、生产力、经济、市场、劳动力和社区福祉的影响的看法。研究采用了平均值、标准差、变异系数、相关性和多元回归分析等统计方法来分析各种因素之间的关系。研究结果表明,农场规模和收入存在很大差异,表明农民之间存在很大差别。值得注意的是,经济因素的变化与农场规模显著相关,而生产的变化与教育显著相关。健康和卫生与农业技术的变化呈负相关,这表明更好的基础设施会影响新技术的采用。年龄和教育程度对农场管理的变化有重大影响,突出了人口因素在农业决策中的重要性。研究强调了大流行病对耕作方式的复杂影响,并强调了有针对性干预的必要性。建议包括财政支持计划、改善市场准入、推广数字工具和多样化种植战略,以帮助农民建立复原力和可持续性。这些措施旨在减少危机的不利影响,改善农业社区的整体福祉。
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