Melola Discovery

← Melola Discovery

Open access Journal

Improving Rice Farming Efficiency: Insights from Stochastic Frontier Analysis in Ponorogo District

Buletin Penelitian Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Haluoleo · Vol. 26 No. 2 (2024) · pp. 124–131

DOI
10.37149/bpsosek.v26i2.1372
ISSN
2656-4270
Published
2024-10-31
Publisher
Department of Agribusiness, Halu Oleo University Jointly with Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Using the Stochastic Frontier Analysis (SFA) approach, this study examines the technical, allocative, and economic efficiency of rice farming practices in the BPP Jenengan area, Ponorogo Regency, East Java, a central rice-producing area in Indonesia, where rice is the staple food. This study aims to evaluate the efficiency of agricultural activities in Ponorogo Regency. Fifty rice farmers were selected through simple random sampling for this study. Data were collected through direct interviews with these farmers and then analyzed using Stochastic Frontier Analysis (SFA) with Frontier software version 4.0. Maximum Likelihood Estimation (MLE) was used to estimate the model parameters. Analysis reveals that land area and seed use significantly and positively influence rice production, contributing 99% to the output. Increasing these inputs will, therefore, enhance production. Conversely, fertilizer use demonstrates a negative impact, while pesticide and labor use show no significant effects. Technical efficiency analysis reveals that most farmers (64%) operate at a technical efficiency level between 0.66 and 0.83, with an average of 0.73, indicating potential for improvement by 0.27. Furthermore, the farmer's age is a significant factor, with those aged 52-62 exhibiting a high-efficiency level, averaging 0.76. This underscores the importance of farmer age in achieving optimal efficiency. This research on rice farming efficiency can inform the development of agricultural policies and practices in Indonesia, promoting a greater focus on productivity enhancement, production cost reduction, and sustainable resource management.

Keywords

Collaboration network of the authors

11 authors · 19 co-authorship links · 5 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Universitas Islam Malang
  • Universitas Madura
  • Universitas Tribhuwana Tunggadewi
  • Universitas Nusa Nipa Maumere
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Titis Surya Maha RiantiUniversitas Islam Malang2
Arief Joko SaputroAffiliation unknown2
Sri HindartiUniversitas Islam Malang1
Anisah AnisahUniversitas Madura1
Cepryana Sathalica WidyanandaUniversitas Madura1
Titis Surya Maha RiantiAffiliation unknown1
Dina Kartika SariAffiliation unknown1
Dina Kartika SariUniversitas Islam Malang1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://ejournal.agribisnis.uho.ac.id/index.php/sosek/oai, first harvested 4 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Improving Rice Farming Efficiency:  Insights from Stochastic Frontier Analysis in Ponorogo District</dc:title>
	<dc:creator>Yoga, Tirta</dc:creator>
	<dc:creator>Saputro, Arief Joko</dc:creator>
	<dc:creator>Anggriani, Yohana</dc:creator>
	<dc:subject xml:lang="en-US">allocative efficiency</dc:subject>
	<dc:subject xml:lang="en-US">economic efficiency</dc:subject>
	<dc:subject xml:lang="en-US">stochastic frontier</dc:subject>
	<dc:subject xml:lang="en-US">technical efficiency</dc:subject>
	<dc:description xml:lang="en-US">Using the Stochastic Frontier Analysis (SFA) approach, this study examines the technical, allocative, and economic efficiency of rice farming practices in the BPP Jenengan area, Ponorogo Regency, East Java, a central rice-producing area in Indonesia, where rice is the staple food. This study aims to evaluate the efficiency of agricultural activities in Ponorogo Regency. Fifty rice farmers were selected through simple random sampling for this study. Data were collected through direct interviews with these farmers and then analyzed using Stochastic Frontier Analysis (SFA) with Frontier software version 4.0. Maximum Likelihood Estimation (MLE) was used to estimate the model parameters. Analysis reveals that land area and seed use significantly and positively influence rice production, contributing 99% to the output. Increasing these inputs will, therefore, enhance production. Conversely, fertilizer use demonstrates a negative impact, while pesticide and labor use show no significant effects. Technical efficiency analysis reveals that most farmers (64%) operate at a technical efficiency level between 0.66 and 0.83, with an average of 0.73, indicating potential for improvement by 0.27. Furthermore, the farmer's age is a significant factor, with those aged 52-62 exhibiting a high-efficiency level, averaging 0.76. This underscores the importance of farmer age in achieving optimal efficiency. This research on rice farming efficiency can inform the development of agricultural policies and practices in Indonesia, promoting a greater focus on productivity enhancement, production cost reduction, and sustainable resource management.</dc:description>
	<dc:publisher xml:lang="en-US">Department of Agribusiness, Halu Oleo University  Jointly with  Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)</dc:publisher>
	<dc:date>2024-10-31</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ejournal.agribisnis.uho.ac.id/index.php/sosek/article/view/1372</dc:identifier>
	<dc:identifier>10.37149/bpsosek.v26i2.1372</dc:identifier>
	<dc:source xml:lang="en-US">Buletin Penelitian Sosial Ekonomi Pertanian Fakultas Pertanian Universitas Haluoleo; Vol. 26 No. 2 (2024); 124 - 131</dc:source>
	<dc:source>2656-4270</dc:source>
	<dc:source>10.37149/bpsosek.v26i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ejournal.agribisnis.uho.ac.id/index.php/sosek/article/view/1372/287</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2024 Tirta Yoga, Arief Joko Saputro, Yohana Anggriani</dc:rights>
	<dc:rights xml:lang="en-US">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>