Efficiency of Pineapple Production and its Determinants: A Case Study of Manipur

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Abstract

The study was conducted in the hills and valley regions of Manipur with the objectives of assessing the level of technical efficiency and determining the factors influencing the technical inefficiency of pineapple production in the state during the year 2022-23. A total of 240 farmers were interviewed in person to gather primary data. A stochastic frontier technique was used in the study to achieve the stated objectives. Results showed that pineapple production was a profitable business. However, the study’s efficiency score of 0.603 indicated that farmers were operating inefficiently. The estimated stochastic production frontier model showed an adverse association between the cost of the sapling, transportation, fertilizer, and manure to the efficiency of pineapple production. According to the technical inefficiency effect model, the only factors that positively explained the technical inefficiency in pineapple production were the farmers’ age and household size while factors like education, years of farming experience, credit availability, and contact with extension agents had a negative effect. Therefore, the study concludes that attracting youth in agriculture, extension services, and production inputs availability has to give due attention to augment the effectiveness of pineapple production across the state and nation as a whole.
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菠萝生产效率及其影响因素:以曼尼普尔邦为例
该研究在曼尼普尔邦的丘陵和山谷地区进行,目的是评估技术效率水平,并确定2022-23年期间影响该州菠萝生产技术效率低下的因素。共对240名农民进行了面对面访谈,以收集原始数据。在研究中使用了随机前沿技术来实现既定目标。结果表明,菠萝生产是一项有利可图的业务。然而,该研究的效率得分为0.603,表明农民的经营效率低下。估计的随机生产前沿模型表明,树苗成本、运输成本、肥料成本和粪便成本与菠萝生产效率呈负相关。根据技术无效率效应模型,农户的年龄和家庭规模是菠萝生产技术无效率的唯一正向解释因素,而教育程度、农业经验年限、信贷可获得性和与推广机构的联系是负向影响因素。因此,该研究得出结论,在农业、推广服务和生产投入方面吸引年轻人必须给予适当的关注,以提高整个州和全国菠萝生产的有效性。
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