Participation of rural women in on-farm operations: A correlation analysis

The present study entitled “Participation of rural women in on farm activities: A correlation analysis” was focused to know the participation of rural women in on­farm activities. The Bemetara District comprises four blocks: Bemetara, Saja, Navagarh, and Berla. Two blocks were chosen randomly for the study. From each selected block, six villages were also randomly selected, resulting in a total of 12 villages (6×2=12) being included in the study. Within each of these 12 villages, 10 rural women were randomly chosen as respondents, bringing the total number of respondents to 120 farm women (12×10=120) for the study. It was observed that the participation of rural women in various farm operation of rice cultivation, a maximum 77.50% respondent had participation index on farm operations with nursery raising and transplanting techniques. In the case of wheat cultivation majority of 93.42% had respondents had participation index on post-harvest technology. Out of these variables only size of land holding, annual income, family type and extension contact were found correlated at 95 percent level of significance. Whereas education and social participation were found significant at 99 percent level of significance. The remaining 4 variables were not indicated significant relationship with participation of rural women. A correlational analysis indicates that an individual having higher education and more social participation had more participatory index.

Authors

Publication Details

Journal
International Journal of Agriculture Extension and Social Development
Published
2024-11-01
DOI
https://doi.org/10.33545/26180723.2024.v7.i11sc.1374
Primary Topic
Livestock Management and Performance Improvement
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Participation of rural women in on-farm operations: A correlation analysis

A.Murali Mohan Kumar, Jyoti Soni, Md. Akhtaruzzaman Khan
International Journal of Agriculture Extension and Social Development
Livestock Management and Performance Improvement
article

Participation of rural women in on-farm operations: A correlation analysis

A.Murali Mohan Kumar, Jyoti Soni, Md. Akhtaruzzaman Khan
article en

Abstract

The present study entitled “Participation of rural women in on farm activities: A correlation analysis” was focused to know the participation of rural women in on­farm activities. The Bemetara District comprises four blocks: Bemetara, Saja, Navagarh, and Berla. Two blocks were chosen randomly for the study. From each selected block, six villages were also randomly selected, resulting in a total of 12 villages (6×2=12) being included in the study. Within each of these 12 villages, 10 rural women were randomly chosen as respondents, bringing the total number of respondents to 120 farm women (12×10=120) for the study. It was observed that the participation of rural women in various farm operation of rice cultivation, a maximum 77.50% respondent had participation index on farm operations with nursery raising and transplanting techniques. In the case of wheat cultivation majority of 93.42% had respondents had participation index on post-harvest technology. Out of these variables only size of land holding, annual income, family type and extension contact were found correlated at 95 percent level of significance. Whereas education and social participation were found significant at 99 percent level of significance. The remaining 4 variables were not indicated significant relationship with participation of rural women. A correlational analysis indicates that an individual having higher education and more social participation had more participatory index.

International Journal of Agriculture Extension and Social DevelopmentVol. 7(11S)
Gender equality
Openalex Percentile: Top 69%
Livestock Management and Performance Improvement
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.