The Income Difference of Credited and Uncredited Cocoa Farming in Central Sulawesi, Indonesia

Cocoa plantations in Central Sulawesi have experienced a decline in productivity due to many plants starting to age, pest and disease attacks, and minimal application of technology. Limited capital causes these problems to be challenging to solve, so the solution is to take credit loan capital. However, many farmers still need to be convinced to take credit. Therefore, this study aims to analyze the differences in cocoa farming income with and without credit and the factors influencing farmers' decisions to take credit. The data used is secondary data from the 2013 Agricultural Census: 2014 Plantation Household Survey. Descriptive analysis is used to describe the characteristics of cocoa farmers in Central Sulawesi. Quantitative analysis is used for farm income analysis, propensity score matching, and logistic regression. The research found that credit positively influenced the income of cocoa farmers in Central Sulawesi. However, it was insignificant because credit was not entirely used to finance productive farming. Factors influencing cocoa farmers' decision to take credit in Central Sulawesi are participation in extension services, cooperative membership, farmer group membership, farmer education level, and land area.

Authors

Institutions

Publication Details

Journal
Agro Bali Agricultural Journal
Published
2025-03-29
DOI
https://doi.org/10.37637/ab.v8i1.1885
Primary Topic
Economic Growth and Fiscal Policies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Income Difference of Credited and Uncredited Cocoa Farming in Central Sulawesi, Indonesia

Lukman M. Baga, Harianto Harianto, Enrico Fatinsyah
Agro Bali Agricultural Journal
Economic Growth and Fiscal Policies
article

The Income Difference of Credited and Uncredited Cocoa Farming in Central Sulawesi, Indonesia

Lukman M. Baga, Harianto Harianto, Enrico Fatinsyah
article en

Abstract

Cocoa plantations in Central Sulawesi have experienced a decline in productivity due to many plants starting to age, pest and disease attacks, and minimal application of technology. Limited capital causes these problems to be challenging to solve, so the solution is to take credit loan capital. However, many farmers still need to be convinced to take credit. Therefore, this study aims to analyze the differences in cocoa farming income with and without credit and the factors influencing farmers' decisions to take credit. The data used is secondary data from the 2013 Agricultural Census: 2014 Plantation Household Survey. Descriptive analysis is used to describe the characteristics of cocoa farmers in Central Sulawesi. Quantitative analysis is used for farm income analysis, propensity score matching, and logistic regression. The research found that credit positively influenced the income of cocoa farmers in Central Sulawesi. However, it was insignificant because credit was not entirely used to finance productive farming. Factors influencing cocoa farmers' decision to take credit in Central Sulawesi are participation in extension services, cooperative membership, farmer group membership, farmer education level, and land area.

Agro Bali Agricultural JournalVol. 8(1)
IPB University (ID)
Openalex Percentile: Top 90%
Economic Growth and Fiscal Policies
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.

The Income Difference of Credited and Uncredited Cocoa Farming in Central Sulawesi, Indonesia — Lukman M. Baga, Harianto Harianto, et al. · Agro Bali Agricultural Journal (2025) | TGRS Research Map | TGRS