Estimating efficiency of soybean farming through stochastic frontier analysis
Avi Budi Setiawan
, Yunastiti Purwaningsih, Ernoiz Antriyandarti, Agustinus Suryantoro
Abstract: The low productivity of soybeans farming in Indonesia makes the low performance of soybean production. This research aims to analyze the efficiency and inefficiency of soybean production, given the low productivity of soybeans. The study utilizes the stochastic frontier analysis to calculate efficiency, including a new variable such as irrigation. Additionally, inefficiency analysis is used to measure the location's inefficiency. The study uses a stochastic frontier regression approach with 200 samples from the center of soybean production. The results show that soybean farming is still not efficient. The factors affecting soybean production include land area, fertilizer, irrigation, seed, and labor. Moreover, this research found that farming routine and experience significantly impact inefficiency. Overall, this study highlights the need to improve soybean production efficiency, primarily by addressing farming routine and experience.
Keywords: efficiency; frontier; inefficiency; soybeans
Citation: Setiawan, A. B., Purwaningsih, Y., Antriyandarti, E. & Suryantoro, A. (2025). Estimating efficiency of soybean farming through stochastic frontier analysis. Bulg. J. Agric. Sci., 31(2), 245–253.
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| Date published: 2025-04-28
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