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Factors Affecting Farm Mechanization – A Case Study in Assam, India

机译:影响农场机械化的因素–以印度阿萨姆邦为例

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The study was conducted in Central Brahmaputra Valley and Upper Brahmaputra Valley Zone of Assam in India. Primary data of 240 sample farms by personal interview schedule method and Logit Regression Analysis was used for examining the factors affecting farm mechanization adoption. All data collected from sample farms pertains to the year 2014-15.With the help of logit regression different factors affecting the mechanization adoption was examined in the sample households where seven explanatory variable to explain mechanization adoption viz. , age of the head of household i.e. AGE, education level of the household i.e. EDU, size of land holdings i.e. LHD, access to irrigation i.e. IRA, access to extension agents i. e. EXT, area under high yielding varieties i.e. HYA and the access to institutional credit i.e. BLN were included and the negative value of the coefficient of AGE showed that the younger generation of farmers favoured the mechanization of farm much more compared to the old block. The coefficient of EDU (4.325) was positive and highly significant level confirming that the adoption of farm mechanization was more prevalent among the farms having relatively literate in the study area. It was found from the above analysis that there were different factors which affect the farm mechanization. Linkage of extension functionaries with the grassroots level by creating awareness about the use of farm machineries amongst the farmers.
机译:这项研究是在印度阿萨姆邦的中雅鲁藏布江谷和上雅鲁藏布江谷地区进行的。采用个人访谈时间表法和Logit回归分析法对240个样本农场的原始数据进行了调查,以了解影响农场机械化采用的因素。从样本农场收集的所有数据均属于2014-15年。借助logit回归,在样本家庭中检查了影响机械化采用的不同因素,其中有七个解释变量来解释机械化采用。 ,户主的年龄,即AGE,家庭的教育程度,即EDU,土地所有权的大小,即LHD,获得灌溉的权利,即IRA,获得推广代理的权利,i。 e。 EXT,包括高产品种(HYA)和获得机构信贷(BLN)的面积,AGE系数的负值表明,与老街区相比,年轻一代的农民更喜欢农场的机械化。 EDU的系数(4.325)为正,且具有极高的水平,这表明在研究区域相对识字的农场中,采用农场机械化的情况更为普遍。通过以上分析发现,有多种因素影响农场的机械化。通过在农民之间建立有关使用农业机械的意识,将推广人员与基层联系起来。

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