Proceedings of the 2024 Brawijaya International Conference (BIC 2024)

<Previous Article In Volume

Soybean Farmer Performance (Glycine max L.) From The Perspective of Technical Efficiency Through Comparison of Parametric (SFA) And Non-Parametric (DEA) Approaches

Authors
Rosihan Asmara1, *, Fahriyah Fahriyah1, Susanti Evie Sulistiowati1
1Departement of Agricultural Economics and Rural Development, Faculty Of Agriculture, Universitas Brawijaya, Brawijaya, Indonesia
*Corresponding author. Email: rosihan@ub.ac.id
Corresponding Author
Rosihan Asmara
Available Online 11 November 2025.
DOI
10.2991/978-94-6463-854-7_27How to use a DOI?
Keywords
Technical Efficiency; Stochastic Frontier Analysis; Data Envelopment Analysis
Abstract

Efficiency serves as a crucial indicator for assessing the overall performance of agricultural enterprises. It can be analyzed through both parametric and non-parametric methods. Consequently, this study aims to evaluate the effectiveness of the parametric approach utilizing Stochastic Frontier Analysis (SFA) and the non-parametric approach employing Data Envelopment Analysis (DEA) in measuring technical efficiency. The research was conducted in East Java Province, specifically in Nganjuk Regency, a recognized soybean production area, where a simple random sampling technique was applied to select 112 soybean farmers. The results reveal that the technical efficiency levels of soybean farmers, as measured by both SFA and DEA methods, are not optimal, with none achieving 100%. This finding indicates that the SFA approach is more effective for enhancing technical efficiency in soybean farming in Indonesia.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Volume Title
Proceedings of the 2024 Brawijaya International Conference (BIC 2024)
Series
Atlantis Advances in Applied Sciences
Publication Date
11 November 2025
ISBN
978-94-6463-854-7
ISSN
3091-4442
DOI
10.2991/978-94-6463-854-7_27How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Rosihan Asmara
AU  - Fahriyah Fahriyah
AU  - Susanti Evie Sulistiowati
PY  - 2025
DA  - 2025/11/11
TI  - Soybean Farmer Performance (Glycine max L.) From The Perspective of Technical Efficiency Through Comparison of Parametric (SFA) And Non-Parametric (DEA) Approaches
BT  - Proceedings of the 2024 Brawijaya International Conference (BIC 2024)
PB  - Atlantis Press
SP  - 375
EP  - 383
SN  - 3091-4442
UR  - https://doi.org/10.2991/978-94-6463-854-7_27
DO  - 10.2991/978-94-6463-854-7_27
ID  - Asmara2025
ER  -