Production And Risk Affecting Factors of Soybean Farming in Banyumas Regency Central Java Province, Indonesia

\nIndonesia’s soybean consumption is rising in tandem with population growth, but it is not keeping pace with output. Farmers need to be encouraged to continue planting soybeans. The purpose of this study is to establish the function of soybean production, including production hazards and affecting factors in Banyumas Regency. The study was conducted in Banyumas Regency in August and October of 2023. Using simple random selection, 200 farmers who planted soybeans in 2022 were chosen from a population of about 2000 farmers. The Ordinary Least Squares (OLS) approach in conjunction with the Cobb-Douglas function was the data analysis tool used to identify significant variables influencing soybean production. The level of risk connected to soybean yield was determined using the coefficient of variation. Finally, Just and Pope’s production risk function model was utilized to identify the components influencing the risk of soybean production. The findings showed that labor, land area, fertilizers, seeds, and insecticides all significantly affect soybean production. There is a high level of production risk associated with soybean farming in Banyumas Regency, with a coefficient variation of 0.54 (≥0.5); and labor has no significant effect on soybean production risk, while land area, fertilizers, seeds, and insecticides do.\n

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2024-11-22
DOI
https://doi.org/10.1051/e3sconf/202459501013/pdf
Primary Topic
Agricultural Research and Practices
Type
article
Field-Weighted Citation Impact
0.00

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article

Production And Risk Affecting Factors of Soybean Farming in Banyumas Regency Central Java Province, Indonesia

Springer Link (Chiba Institute of Technology)
Agricultural Research and Practices
article

Production And Risk Affecting Factors of Soybean Farming in Banyumas Regency Central Java Province, Indonesia

article en

Abstract

\nIndonesia’s soybean consumption is rising in tandem with population growth, but it is not keeping pace with output. Farmers need to be encouraged to continue planting soybeans. The purpose of this study is to establish the function of soybean production, including production hazards and affecting factors in Banyumas Regency. The study was conducted in Banyumas Regency in August and October of 2023. Using simple random selection, 200 farmers who planted soybeans in 2022 were chosen from a population of about 2000 farmers. The Ordinary Least Squares (OLS) approach in conjunction with the Cobb-Douglas function was the data analysis tool used to identify significant variables influencing soybean production. The level of risk connected to soybean yield was determined using the coefficient of variation. Finally, Just and Pope’s production risk function model was utilized to identify the components influencing the risk of soybean production. The findings showed that labor, land area, fertilizers, seeds, and insecticides all significantly affect soybean production. There is a high level of production risk associated with soybean farming in Banyumas Regency, with a coefficient variation of 0.54 (≥0.5); and labor has no significant effect on soybean production risk, while land area, fertilizers, seeds, and insecticides do.\n

Springer Link (Chiba Institute of Technology)
Jenderal Soedirman University
Zero hunger
Openalex Percentile: Top 31%
Agricultural Research and Practices
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