农妇参与自然资源保护:印度半干旱地区的技术采用研究

Indu Rawat, Praveen Jakhar, Gulshan Sharma, Manoj Kumar, Abimanyu Jhajhria, Suresh Kumar, Rajesh Bishnoi, Vikas Yadav
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摘要

背景:印度半干旱地区(SARs)的特点是降雨量有限,经常容易发生干旱。这些地区的降水量通常为中低水平,给农业和供水带来了巨大挑战。印度 55% 的人口从事农业及其相关活动。尽管农业为人们的生计做出了重大贡献,但由于土壤退化和资源枯竭导致作物和牲畜产量下降,农业部门仍然面临着挑战。为了减轻土地退化的影响和保护雨水,政府采取了重大措施,将保护自然资源作为全国的优先事项。为了保护自然资源,妇女始终扮演着重要角色,因为她们总是参与农业活动。研究方法本研究旨在调查印度 3 个特别行政区的妇女在水土保持(SWC)中的作用。研究采用了有目的的抽样方法,选择流域受益人作为样本受访者。结果结果显示,大多数妇女(55%)的技术采用水平处于中等水平。多元回归分析表明,妇女的年龄、教育程度、农业经验、风险承担能力、社会参与度和成本效益影响着流域对小农作物耕作技术的采用。相关性分析表明,在 16 个因素中,年龄、教育、耕作经验、土地持有、风险承担、社会参与、农业咨询和气象咨询、技能发展、易用性和成本效益这 11 个因素对采用小流域水利和土地利用技术有显著影响。
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Farm Women Participation in Natural Resource Conservation: Technology Adoption Study in Semi-Arid Regions of India
Background: Semi-arid regions (SARs) of India are characterized by limited rainfall and often prone to droughts. These regions typically receive moderate to low levels of precipitation, making agriculture and water availability significantly challenging. In India, 55% of population is engaged in agriculture and its allied activities. Despite making a significant contribution to livelihoods, the sector continues to face challenges as soil degradation and resource depletion have reduced crop and livestock outputs. To mitigate the effects of land degradation and conserve rainwater, government has taken significant measures to make natural resource conservation a priority throughout the country. To conserve the natural resources, women are always playing an important role as they are always involved in agricultural activities. Methods: The study was undertaken to investigate the role of women in Soil and Water Conservation (SWC) in 3 SARs of India. The purposive sampling was done as watershed beneficiaries were selected as sample respondents. Result: The results revealed that majority of women (55%) had a medium level of technology adoption. Multiple regression analysis revealed that women’s age, education, farming experience, risk bearing, social participation and cost-effectiveness were influencing the adoption of SWC technologies in watersheds. The correlation analysis reflected that out of sixteen factors, eleven factors namely age, education, farming experience, land holding, risk bearing, social participation, agro advisory and weather advisory, skill development, ease of use and cost effectiveness significantly affected the adoption of SWC technologies.
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