Analyzing the Potato Market in Malang Raya: Insights from the Structure-Conduct-Performance (SCP) Approach

Potatoes serve as an essential food commodity in Indonesia, with demand continually increasing, particularly as raw materials for snack-based small and medium enterprises (SMEs). Although production has grown, farmers in Malang Raya still encounter considerable marketing difficulties. This study aims to examine the market structure, conduct, and performance of potatoes in Malang Raya using the Structure-Conduct-Performance (SCP) approach. Primary data were collected from producers, farmers, and traders through structured and semi-structured questionnaires, with respondents chosen via a snowball sampling method. Data were analyzed using descriptive and SCP analyses, emphasizing market concentration, price behavior, and marketing efficiency. The results demonstrate that the potato market in Malang Raya has an oligopolistic structure, with a concentration ratio (CR4) below 40% and a Herfindahl-Hirschman Index (HHI) of 0.06. Farmers function mainly as price takers due to limited bargaining power. Four main marketing channels were identified, with Channels I and II showing the highest efficiency. Furthermore, market performance analysis indicates a relatively fair distribution of margins between farmers and marketing institutions. These findings provide insights into the functioning of the potato market in Malang Raya and suggest strategies for promoting sustainable agribusiness development.

Publication Details

Journal
Springer Link (Chiba Institute of Technology)
Published
2025-12-08
DOI
https://doi.org/10.1051/bioconf/202520103002/pdf
Primary Topic
Agricultural Research and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analyzing the Potato Market in Malang Raya: Insights from the Structure-Conduct-Performance (SCP) Approach

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

Analyzing the Potato Market in Malang Raya: Insights from the Structure-Conduct-Performance (SCP) Approach

article en

Abstract

Potatoes serve as an essential food commodity in Indonesia, with demand continually increasing, particularly as raw materials for snack-based small and medium enterprises (SMEs). Although production has grown, farmers in Malang Raya still encounter considerable marketing difficulties. This study aims to examine the market structure, conduct, and performance of potatoes in Malang Raya using the Structure-Conduct-Performance (SCP) approach. Primary data were collected from producers, farmers, and traders through structured and semi-structured questionnaires, with respondents chosen via a snowball sampling method. Data were analyzed using descriptive and SCP analyses, emphasizing market concentration, price behavior, and marketing efficiency. The results demonstrate that the potato market in Malang Raya has an oligopolistic structure, with a concentration ratio (CR4) below 40% and a Herfindahl-Hirschman Index (HHI) of 0.06. Farmers function mainly as price takers due to limited bargaining power. Four main marketing channels were identified, with Channels I and II showing the highest efficiency. Furthermore, market performance analysis indicates a relatively fair distribution of margins between farmers and marketing institutions. These findings provide insights into the functioning of the potato market in Malang Raya and suggest strategies for promoting sustainable agribusiness development.

Springer Link (Chiba Institute of Technology)
Openalex Percentile: Top 26%
Agricultural Research and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.