Socio-economic Categorization- A New Classification for the Farm Households

Authors

  • C D Amitha Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, India
  • C Karthikeyan Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, India
  • J P Mansingh VIT School of Agricultural Innovations and Advanced Learning, Vellore Institute of Technology, Vellore-632014, Tamil Nadu, India
  • Ravi Kumar Theodre Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, India
  • D Suresh Kumar Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, India
  • S G Patil Tamil Nadu Agricultural University, Coimbatore-641003, Tamil Nadu, India

DOI:

https://doi.org/10.48165/IJEE.2023.59307

Keywords:

Classification, NbClust, Socio economic, Rural

Abstract

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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References

Charrad, M., Ghazzali, N., Boiteau, V., & Niknafs, A. (2014). NbClust: an R package for determining the relevant number of clusters in a data set. Journal of statistical software, 61, 1-36.

Deeptangshu, S., & Jahanara, J. (2021). To study the socio-economic status of small and marginal farmers with special reference to schedule caste and schedule tribe farmers of Kamrup district of Assam. International Journal of Advances in Agricultural Science and Technology, 8, 147-162.

Devarani, L., & Bandhyopadhyay, A. K. (2022). Profile characteristics of different categories of farmers and farmwomen in rice, growing Oryza sativa L. eco-system of Imphal valley. Indian Journal of Extension Education, 48(1&2), 60–64.

Gaur, K. L. (2013). Socio-economic status measurement scale: Thurst area with changing concept for socio-economic status. International Journal of Innovative Research and Development, 2(9), 139–145.

Kadian, K. S. (2014). A tool to measure socio-economic status of dairy farmers. The Indian Journal of Animal Sciences, 84(1). Khwaja, M. S., Shafi, S., Srivsatava, J. P., & Dipak, K. B. (2015). Adoption behaviour of saffron growers in Pashtun Zarghon of Herat Province in Afghanistan. Indian Journal of Extension Education, 51(3&4), 142-144.

Kobba, F., Nain, M. S., Singh, R., Mishra, J. R., & Shitu, G. A. (2020). Entrepreneurial profile and constraint analysis of farm and non-farm sectors entrepreneurial training programmes in krishi vigyan kendra and rural development & self-employment training institute. Indian Journal of Extension Education, 56(3), 17-26.

Kumar, R. S., Kumar, A., Prajapat, V., & Panwar, V. (2018). Socio economic status of farmers in Raisen district of Madhya Pradesh: A Case Study. International Journal of Current Microbiology and Applied Sciences, 7(11), 2802-2806.

Kumar, S., Singh, R., Nain, M. S., & Kumar, P. (2022). Comparing the profile characteristics for evaluation of the effectiveness of the agri-business incubators. Indian Journal of Extension Education, 58(1), 97-100.

Kumari, V., Chander, S., & Sharma, S. (2021). Knowledge and adoption of drip irrigation in citrus crops among farmers of western Haryana. Indian Journal of Extension Education, 58(1), 151– 156.

Mishra, A., Singh, J., Malik, J. S., & Maurya, A. S. (2022). Social media use profile of farmers in Haryana. Indian Journal of Extension Education, 58(3), 51–54.

Pandey, V. K., Aggarwal, P., & Kakkar, R. (2018). Modified BG Prasad’s socio-economic classification-2018: The need of an update in the present scenario. Indian Journal of Community Health, 30(1), 82-84.

R Core Team (2023). _R: A language and environment for statistical computing_. R Foundation for Statistical Computing, Vienna, Austria. <https://www.R-project.org/>.

Raghavarao, D. (1987). Statistical techniques in Agricultural and Biological Research. New Delhi: Oxford & IBH publishing Co. Pvt. Ltd.

Rogers, E. V. (1962). Diffusion of innovations. New York: Free Press: 148-168.

Shivani, G., Chitra, H., & Sharma, S. K. (2013). Association of socio-economic status on Mahatma Gandhi National Rural Employment Guarantee Act of Rural Women in Alwar District of Rajasthan. Indian Journal of Extension Education, 49(1&2), 54–56.

INDIAN JOURNAL OF EXTENSION EDUCATION

Singh, V. P., Singh, R. P., Avanish, S., & Rahul, S. (2021). Socio economic status of goat farmers in Gorakhpur district of Uttar Pradesh. The Indian Journal of Animal Sciences, 91, 318-320.

Singh, V., Kumar, A., Yadav, K., Kumar, R., & Malik, A. (2019). Socio-economic status of mango growers in Yamuna Nagar district of Haryana. Indian Journal of Health and Wellbeing, 10(4-6), 170-174.

Swetha, M., Sudha Rani, V., & Sreenivasa Rao, I. (2019). Influence of profile characteristics on knowledge level about drip irrigation system. Indian Journal of Extension Education, 55(4), 51-54.

Tiwari, S. C., & Kumar, A. (2005). Development & standardization of a scale to measure socioeconomic status in urban & rural communities in India. Indian Journal of Medical Research, 122, 309–314.

Vasu, S., Ramsankaran, R., & Ronita, B. (2019). Linking remotely sensed Urban Green Space (UGS) distribution patterns and Socio Economic Status (SES) - A multi-scale probabilistic analysis based in Mumbai, India. GIScience & Remote Sensing, 56(5), 645-669.

Vats. Rachit (2011, May 8th). Indian households get new socio economic classifications. Hindustan Times, Mumbai. https:// www.hindustantimes.com/business/indian-households-get-new socio-economic-classifications/story-24kquf6V9ToJ7t5QlzlCsJ. html

Vijayan, B., Nain, M. S., Rashmi, S., Kumbhare, N. V., & Ravi, K. N. (2022). Socio-economic transformation through RKVY RAFTAAR in Uttar Pradesh and Karnataka. Indian Journal of Extension Education, 58(3), 108–112.

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Published

2023-07-11

Issue

Vol. 59 No. 3 (2023): Indian Journal of Extension Education, (Jul-Sep), 2023

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Amitha, C.D., Karthikeyan, C., Mansingh, J.P., Theodre, R.K., Kumar, D.S., & Patil, S.G. (Trans.). (2023). Socio-economic Categorization- A New Classification for the Farm Households . Indian Journal of Extension Education, 59(3), 38–42. https://doi.org/10.48165/IJEE.2023.59307
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