Assessing the Relationship between Profile Characteristics and Occupational Stress among the Farmers of Mahbubnagar District of Telangana State, India

For countries like India, where most agricultural households are small, marginal, medium, or semi-large, equitable agricultural growth is critical. Today, agricultural performance in the country is a major cause of concern, as farming has become financially unsustainable, particularly for small, marginal, and semi-medium farmers. The study was conducted in Mahbubnagar district, Telangana, during 2020-2021 to examine the relationship between farmers' profile characteristics and their occupational stress. Mahbubnagar district was purposively selected from the 31 districts in Telangana due to its high illiteracy rate and backwardness. Occupational stress was found to be more prevalent among cotton farmers, and since most farmers in Mahbubnagar grow cotton, the district was chosen for the study. Within Mahbubnagar, Midjil Mandal was specifically selected from 15 mandalas because of its limited technological advancements and the prevalence of cotton farming. Out of 28 villages, 5 were purposefully chosen for the study. Approximately 5% of farmers from each selected village were included using proportionate random sampling, resulting in a total sample size of 170 farmers. An Ex-post-facto research design was employed, and data were collected through a well-structured interview schedule tailored to the study's objectives. The data were then analyzed, classified, and tabulated. Statistical tools like frequency, percentage, mean, standard deviation, and coefficient of correlation were used to interpret the findings and draw conclusions. The study found that indebtedness had a positive and significant relationship with occupational stress, while variables such as age, education, farming experience, landholding, and annual income had a negative and significant relationship with stress levels. Family size, mass media exposure, economic motivation, scientific orientation, and risk orientation were found to have no significant relationship with occupational stress among the farmers. These findings suggest the need for debt management programs and enhanced financial literacy among farmers, alongside support for educational and income-generating opportunities to reduce stress and improve financial sustainability.

Authors

Institutions

Publication Details

Journal
Asian Journal of Agricultural Extension Economics & Sociology
Published
2024-09-05
DOI
https://doi.org/10.9734/ajaees/2024/v42i92546
Primary Topic
COVID-19 Pandemic Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Assessing the Relationship between Profile Characteristics and Occupational Stress among the Farmers of Mahbubnagar District of Telangana State, India

Sweety Mukherjee, B. Mounika, Seema Naberia, Settipalli Sravani et al.
Asian Journal of Agricultural Extension Economics & Sociology
COVID-19 Pandemic Impacts
article

Assessing the Relationship between Profile Characteristics and Occupational Stress among the Farmers of Mahbubnagar District of Telangana State, India

Sweety Mukherjee, B. Mounika, Seema Naberia, Settipalli Sravani, Kotha Shravani, Ananda K.R., Leela Krishna Chaitanya
article en

Abstract

For countries like India, where most agricultural households are small, marginal, medium, or semi-large, equitable agricultural growth is critical. Today, agricultural performance in the country is a major cause of concern, as farming has become financially unsustainable, particularly for small, marginal, and semi-medium farmers. The study was conducted in Mahbubnagar district, Telangana, during 2020-2021 to examine the relationship between farmers' profile characteristics and their occupational stress. Mahbubnagar district was purposively selected from the 31 districts in Telangana due to its high illiteracy rate and backwardness. Occupational stress was found to be more prevalent among cotton farmers, and since most farmers in Mahbubnagar grow cotton, the district was chosen for the study. Within Mahbubnagar, Midjil Mandal was specifically selected from 15 mandalas because of its limited technological advancements and the prevalence of cotton farming. Out of 28 villages, 5 were purposefully chosen for the study. Approximately 5% of farmers from each selected village were included using proportionate random sampling, resulting in a total sample size of 170 farmers. An Ex-post-facto research design was employed, and data were collected through a well-structured interview schedule tailored to the study's objectives. The data were then analyzed, classified, and tabulated. Statistical tools like frequency, percentage, mean, standard deviation, and coefficient of correlation were used to interpret the findings and draw conclusions. The study found that indebtedness had a positive and significant relationship with occupational stress, while variables such as age, education, farming experience, landholding, and annual income had a negative and significant relationship with stress levels. Family size, mass media exposure, economic motivation, scientific orientation, and risk orientation were found to have no significant relationship with occupational stress among the farmers. These findings suggest the need for debt management programs and enhanced financial literacy among farmers, alongside support for educational and income-generating opportunities to reduce stress and improve financial sustainability.

Asian Journal of Agricultural Extension Economics & SociologyVol. 42(9)
Indian Council of Agricultural Research (IN)
Quality Education
Openalex Percentile: Top 82%
COVID-19 Pandemic Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.