Factors Causing Low Regeneration of Rice Farmers in Mandastana District, Barito Kuala Regency

Farmer regeneration is one of the problems in the agricultural sector, this is because most farmers are classified as old and few young people are interested in continuing to work in the agricultural sector. This study aims to analyze the factors causing the low regeneration of rice farmers. The study was conducted in Mandastana District, Barito Kuala Regency, Indonesia. The subjects of this study were children of farmer group members in Mandastana District with an age range of 16-35 years. The sample taken was 365 people using the proportionated random sampling technique. This study uses a descriptive quantitative research method. Data collection used in this study was observation, questionnaires (semi-closed) and documentation. The analysis used in this study was factor analysis or Principal Component Analysis (PCA). The results of the study showed that the first factor or the most dominant factor causing the low regeneration of farmers was the level of education, information from outside and peers, with correlation values of 0.931, 0.796 and 0.705. The second factor that causes low regeneration of rice farmers is the area of land ownership, work experience in the agricultural sector, family income from the agricultural sector, family income from the agricultural sector and family socialization, with correlation values of 0.689, 0.730, 0.859 and 0.833. The third factor that causes low regeneration of rice farmers is wages outside the agricultural sector, with a correlation value of 0.934.

Authors

Institutions

Publication Details

Journal
The Innovation of Social Studies Journal
Published
2025-02-28
DOI
https://doi.org/10.20527/issj.v6i2.14711
Primary Topic
Agricultural Research and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors Causing Low Regeneration of Rice Farmers in Mandastana District, Barito Kuala Regency

Fitria Fitria, Karunia Puji Hastuti, Deasy Arisanty, Parida Angriani et al.
The Innovation of Social Studies Journal
Agricultural Research and Practices
article

Factors Causing Low Regeneration of Rice Farmers in Mandastana District, Barito Kuala Regency

Fitria Fitria, Karunia Puji Hastuti, Deasy Arisanty, Parida Angriani, Nevy Farista Aristin
article en

Abstract

Farmer regeneration is one of the problems in the agricultural sector, this is because most farmers are classified as old and few young people are interested in continuing to work in the agricultural sector. This study aims to analyze the factors causing the low regeneration of rice farmers. The study was conducted in Mandastana District, Barito Kuala Regency, Indonesia. The subjects of this study were children of farmer group members in Mandastana District with an age range of 16-35 years. The sample taken was 365 people using the proportionated random sampling technique. This study uses a descriptive quantitative research method. Data collection used in this study was observation, questionnaires (semi-closed) and documentation. The analysis used in this study was factor analysis or Principal Component Analysis (PCA). The results of the study showed that the first factor or the most dominant factor causing the low regeneration of farmers was the level of education, information from outside and peers, with correlation values of 0.931, 0.796 and 0.705. The second factor that causes low regeneration of rice farmers is the area of land ownership, work experience in the agricultural sector, family income from the agricultural sector, family income from the agricultural sector and family socialization, with correlation values of 0.689, 0.730, 0.859 and 0.833. The third factor that causes low regeneration of rice farmers is wages outside the agricultural sector, with a correlation value of 0.934.

The Innovation of Social Studies JournalVol. 6(2)
Lambung Mangkurat University (ID)
Openalex Percentile: Top 93%
Agricultural Research and Practices
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.