南亚查谟地区雨养条件下小型反刍动物(绵羊和山羊)的报酬潜力

V. Bhagat, S. Dwivedi
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引用次数: 0

摘要

背景:印度拥有大片的热带雨林,而印度在热带雨林的占有率上处于第一位。与此同时,印度的牲畜储备中有很大一部分是小型反刍动物(绵羊和山羊)。本文试图找出两者之间的相互兼容性。方法:该研究于2020-21年在查谟地区的三个主要地区进行,分别是Kathua、Udhampur和Rajouri。运用生产函数技术确定资源利用效率,找出能给农民带来最大收益的投入。此外,还分别应用了线性规划来找出收益的优化问题。结果:Rajouri地区的盈利能力更高(每只反刍动物每天12.79卢比)在Kathua和Udhampur区,羊肉销售分别构成了总回报的主要组成部分。生产函数分析显示,Kathua区的“精矿”(0.219)和Udhampur区的“劳动力”(3.559)是小型反刍动物企业的重要投入。那里发现了大量的劳动力,但缺乏劳动力培训。在这方面,本文建议对该企业的劳动力采取适当的培训措施。此外,各地区在优化投入(现金支出和劳动力需求)方面存在很大差异(如线性规划所示),这需要进行适当调整。需要做出这些调整,以便小型反刍动物的企业能够成为抵御迫在眉睫的气候变化威胁的堡垒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Remunerative Potential of Small Ruminants (Sheep and Goat) under Rainfed Conditions in the Jammu Region of South Asia
Background: India has large rainfed area in her possession, rather, India is holding first position in the possession of rainfed area. At the same time, India has large share of small ruminants (sheep and goats) in her stockpile of livestock. This paper is an effort towards finding out the mutual compatibility between the two. Methods: The study was conducted during 2020-21 in the rainfed areas of Jammu region, in three main districts i.e., Kathua, Udhampur and Rajouri, respectively. The technique of production function was applied to ascertain the resource use efficiency so as to find out the inputs that yielded maximum returns to the farmers. In addition, linear programming was applied so as to find out the optimisation of returns, respectively. Result: Profitability was found to be higher for Rajouri district (Rs. 12.79 per ruminant per day). ‘Selling of mutton’ formed the major component of gross returns in Kathua and Udhampur district, respectively. Production function analysis revealed ‘concentrates’ (0.219) in Kathua district and ‘labour’ (3.559) in Udhampur district as the important inputs in the small ruminant’s enterprise. The labour was found in large numbers there, but there is paucity of training of labour. In this regard, the paper recommends the proper training measures for the labour engaged in this enterprise. Moreover, there is large variations (as depicted by linear programming) in the optimisation of the inputs (cash outlay and labour requirements) within the districts and this needs to be adjusted appropriately. These adjustments need to be made so that small ruminant’s enterprise can act as the bulwark against the looming threat of climate variations.
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