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首页> 外文期刊>The Indian Journal of Agricultural Sciences >Factors influencing agri-preneurial success among rural women entrepreneurs: An empirical analysis
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Factors influencing agri-preneurial success among rural women entrepreneurs: An empirical analysis

机译:影响农村女企业家农业前成功的因素:一项实证分析

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摘要

The study was purposively conducted among 97 women agri-preneurs of Vellore district of Tamil Nadu. Measuring precisely the success/failure of the rural women entrepreneurship is difficult and complex in the absence of a well developed scale. Women agri-preneurs were grouped into four categories of success/failure by administering a measuring scale. As high as 47.43% of agri-preneurs were found to be in 'somewhat success' category, whereas 16.49% agripreneurs were in 'high success' category and 9.27% of them were found to be in 'high failure' category and 26.81% of the agri-preneurs were found in 'somewhat failure' category. The Garrett ranking showed that successful women agri-preneurs perceived 'self, 'family', 'skilled labour', 'credit transaction in time' and 'demand', whereas unsuccessful agri-preneurs perceived 'spouse', `NGOs', 'friends', Government incentives' and 'family' as the five most important factors for success. Discriminant Function Analysis is a statistical tool used to discriminate between two classes of individuals on the basis of characters which are considered to be relevant. Stepwise procedure was used to identify the relevant variable and the significant ones were identified based on the 'F' test. The Fisher's discriminant function equation established 'achievement motivation' generalperceived self-efficacy', 'collective efficacy', 'proactive attitude' and 'self-esteem' as the top five most discriminating variables. Hence, trainings in achievement motivation development, team building, collective efficacy and developing personal managerial competencies like 'proactive attitude' need to be incorporated in women agri-preneurship development programmes for success in rural women agri-preneurships.
机译:这项研究是针对泰米尔纳德邦韦洛尔地区的97位女性农业企业家进行的。在缺乏完善的规模的情况下,很难准确地衡量农村妇女创业的成败。通过衡量规模,将女性农业企业家分为成功/失败四类。高达47.43%的农业企业家属于“有点成功”类别,而16.49%的农业企业家属于“高成功”类别,其中9.27%属于“高失败”类别,而其中的26.81%这些农业企业家被归类为“有点失败”类别。 Garrett排名显示,成功的女性农业企业家认为“自我”,“家庭”,“熟练劳动力”,“及时的信贷交易”和“需求”,而失败的农业企业家则认为“配偶”,“非政府组织”,“朋友” “,政府激励措施”和“家庭”是成功的五个最重要因素。判别函数分析是一种统计工具,用于根据被认为相关的字符来区分两类人。使用逐步过程来确定相关变量,并根据“ F”检验来确定重要变量。费舍尔的判别函数方程将“成就动机”,“普遍感知的自我效能感”,“集体效能感”,“积极态度”和“自尊”确定为最能区分的五个变量。因此,需要将成就动机发展,团队建设,集体效能和发展个人管理能力(如“积极态度”)方面的培训纳入妇女农业综合能力发展计划,以实现农村妇女农业综合能力的成功。

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