影响印度农业贫困地区农场净收入的参数

Nikhilesh Bagade, Bakul Rao, S. Kedare, Mukul Yambal, Shraddha Vekhande
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引用次数: 0

摘要

印度农村的贫困与农业收入有关,农业收入可以用农业净收入(FNI)来评估。本研究确定了2016-17年和2017-18年期间对印度亚瓦塔马尔FNI有显著影响的参数。用多元线性回归分析计算的r2值解释2016-17和2017-18年度的FNI分别为73%和79%。2017-18年,农户家庭户主受教育程度、户主就业人口、经营耕地、农机使用情况和畜禽销售情况对农户家庭户主受教育程度的影响较大。本研究可以帮助农民进行农场决策,以改善FNI,也可以帮助政策制定者设计和实施农业政策和计划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameters Influencing the Farm Net Income in an Agrarian Distressed Area of India
Rural poverty in India is linked with agricultural earnings, which can be assessed with Farm Net Income (FNI). This study identified the parameters significantly affecting the FNI for Yavatmal, India, during 2016-17 and 2017-18. The R 2 values computed by Multivariable Linear Regression Analysis for explaining FNI are 73% and 79% for 2016-17 and 2017-18. In 2017-18, the FNI was influenced by household (HH) head education, working population in HH, operating farmland, agriculture machine usage, and livestock sale. This study can help farmers in their farm-decisions for improving FNI and policy makers for designing and implementation of farm policies and schemes.
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