马杜赖地区农民生产者组织成员参与的决定因素

P. Yogitha, M. Anjugam, J. Amarnath, S. Padma Rani, B. Sivasankari
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引用次数: 0

摘要

目的:本研究旨在找出影响会员参与FPO的因素。研究设计:采用随机抽样的方法,确定样本地区、样本街区、样本村庄和样本受访者进行访谈。研究地点和时间:该研究于2023年5月在泰米尔纳德邦的马杜赖地区进行。方法学:本研究采用原始资料。采用Logit回归模型对影响FPO成员参与的因素进行分析。一个结构良好的访谈时间表被用来收集样本受访者的数据。随机抽取FPO会员和非会员各60人,收集相关数据。结果:通过logit回归函数的估计,发现家庭规模、年收入、土地占有量、市场距离、推广服务、营销设施和投入可用性是影响成员参与FPO的主要因素,且具有显著性。在这些变量中,家庭规模、年收入、到市场的距离、推广服务、销售设施、储存设施和投入的可得性对成员参加粮食干事方案的可能性产生积极影响。然而,农场规模对成员参与FPO的概率有负向影响。结论:通过分析,发现家庭规模、年收入、市场距离、推广服务、营销设施和仓储设施等变量对样本受访者参与FPO计划的概率有显著的正向影响。然而,变量即农场规模被发现是显著的,但对样本受访者参与FPO计划的概率产生负面影响。同样明显的是,小农和边缘农民参与FPO的可能性很高。结论是,由FPO提供的服务,如培训和能力建设计划、营销设施、投入供应、运输安排等,可能会增加农民对FPO的参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determinants of Participation of Members in Farmer Producer Organization in Madurai District
Aims: The study aimed to identify the factors influencing the participation of members in FPO. Study Design: The study has utilized random sampling method to identify sample districts, sample blocks, sample villages and sample respondents for interview. Place and Duration of Study: The study was carried out in Madurai district of Tamil Nadu in the month of May 2023. Methodology: Primary data was used in the study. Logit regression model was used to identify the factors influencing the participation of members in FPO. A well-structured interview schedule was used to collect data from the sample respondents. A sample of 60 members and 60 non-members of FPO were chosen at random and relevant data were collected. Results: The estimates of the logit regression function revealed that family size, annual income, landholding, distance to market, extension service, marketing facilities and input availability were found to be the major factors influencing the participation of members in FPO and found significant. Of these variables, family size, annual income, distance to market, extension service, marketing facilities storage facilities and input availability were positively influencing the probability of participation of members in FPO programme. However, farm size was negatively influencing the probability of participation of members in FPO. Conclusion: Based on the analysis, it is evident that the variables such as family size, annual income, distance to market, extension service, marketing facilities and storage facilities were found significant and positively influencing the probability of participation of sample respondents in FPO programme. However, the variable namely farm size was found to be significant but negatively influencing the probability of participation of sample respondents in FPO programme. It is also evident that the probability of participation of small and marginal farmers in FPO is found high. It is concluded that provision of services by FPOs such as training and capacity building programme, marketing facility, supply of inputs, transport arrangements to the farmer may increase their participation in FPO.
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