社会经济分类——一种新的农户分类方法

C. D. Amitha, C. Karthikeyan, J. Mansingh, Ravi Kumar Theodre, D. Kumar, S. G. Patil
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引用次数: 0

摘要

在大多数社会科学研究中,农民根据其社会经济地位(SES)、采用水平、知识和利用模式被分为不同的类别,其中社会经济地位是最常见的测量现象。该研究旨在为发达规模建立一种标准的人口社会经济分类方法,该方法具有科学基础,可以轻松简单地应用于每个部门或人口阶层,并对其他感兴趣的变量(如收养,农民知识等)也有用。一个国家人口的社会经济地位(SES)至关重要,因为它是影响一个人的健康、教育、死亡率、发病率和营养状况的关键因素之一。这项研究是在2022-23年间对泰伦加纳邦的300名农民进行的。在R软件中应用NbClust包获得类数。各类别的得分范围使用频率的累积平方根(CSRF)计算。Nblust分析显示为5类聚类。新的5个社会经济阶层分别是25分以上、21-24分、17-20分、13-16分、13分以下的上层、中上层、中层、中上层、下层。
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Socio-economic Categorization- A New Classification for the Farm Households
In most of the social science research, farmers are classified into various categories based on their socio-economic status (SES), adoption levels, knowledge, and utilization patterns, where SES is the most commonly measured phenomenon. The study aimed to create a standard method of socioeconomic classification of the population for the developed scale with a scientific foundation that can be easily and simply applied to each sector or population stratum and is also useful for other variables of interest such as adoption, knowledge of farmers, etc. The socioeconomic status (SES) of the population in a nation is crucial since it is one of the key factors affecting a person’s health, education, mortality, morbidity, and nutritional status. The study was conducted in the year 2022-23 with 300 farmers from the state of Telangana. The number of classes was obtained by applying NbClust package in R software. The score range for the respective classes was calculated using Cumulative Square Root of Frequency (CSRF). The Nblust analysis suggested a 5-class cluster. The new five socio-economic classes include upper, upper middle, middle, upper lower, and lower class with scores of 25 and above, 21-24, 17-20, 13-16, and below 13 respectively.
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