Efisiensi Teknis Usahatani Bawang Merah di Kabupaten Nganjuk dengan Fungsi Produksi Cobb Douglass Stokastik Frontier

This study aims to analyze the technical efficiency of shallot farming in Nganjuk Regency using the Cobb-Douglas Stochastic Frontier production function approach. The research was conducted in four sub-districts with a total of 130 farmer respondents. Sampling was carried out using the accidental sampling technique, and data were analyzed using the Maximum Likelihood Estimation (MLE) method. The results show that the technical efficiency of shallot farmers is relatively high, with an average score of 0.966, a maximum of 0.998, and a minimum of 0.901. The majority of farmers (98%) fall within the efficiency range of 0.91–1.00. Among the six input variables analyzed, three were found to significantly affect production: seed (0.298), land area (-0.066), and ZA fertilizer (-0.092). On the other hand, farmer age was found to increase technical inefficiency (0.004), while farming experience reduced inefficiency (-0.005). These findings indicate that improving efficiency can be achieved by optimizing input use and leveraging farmers' experience in managing agricultural practices more effectively.

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Publication Details

Journal
Journal of Agribusiness Social and Economic
Published
2025-05-29
DOI
https://doi.org/10.32585/jase.v5i1.6596
Primary Topic
Plant Growth and Agriculture Techniques
Type
article
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article

Efisiensi Teknis Usahatani Bawang Merah di Kabupaten Nganjuk dengan Fungsi Produksi Cobb Douglass Stokastik Frontier

Taufik Nugroho, Moh. Wahyudi Priyanto, Yesi Dwi Hardianingsih
Journal of Agribusiness Social and Economic
Plant Growth and Agriculture Techniques
article

Efisiensi Teknis Usahatani Bawang Merah di Kabupaten Nganjuk dengan Fungsi Produksi Cobb Douglass Stokastik Frontier

Taufik Nugroho, Moh. Wahyudi Priyanto, Yesi Dwi Hardianingsih
article en

Abstract

This study aims to analyze the technical efficiency of shallot farming in Nganjuk Regency using the Cobb-Douglas Stochastic Frontier production function approach. The research was conducted in four sub-districts with a total of 130 farmer respondents. Sampling was carried out using the accidental sampling technique, and data were analyzed using the Maximum Likelihood Estimation (MLE) method. The results show that the technical efficiency of shallot farmers is relatively high, with an average score of 0.966, a maximum of 0.998, and a minimum of 0.901. The majority of farmers (98%) fall within the efficiency range of 0.91–1.00. Among the six input variables analyzed, three were found to significantly affect production: seed (0.298), land area (-0.066), and ZA fertilizer (-0.092). On the other hand, farmer age was found to increase technical inefficiency (0.004), while farming experience reduced inefficiency (-0.005). These findings indicate that improving efficiency can be achieved by optimizing input use and leveraging farmers' experience in managing agricultural practices more effectively.

Journal of Agribusiness Social and EconomicVol. 5(1)
Universitas Trunodjoyo Madura (ID)
Openalex Percentile: Top 84%
Plant Growth and Agriculture Techniques
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