Open AccessCorn margin analysis in Takalar, South Sulawesi
Author(s) -
Andi Faisal Suddin,
. Muslimin,
Sarintang
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/484/1/012139
Subject(s) - margin (machine learning) , geology , computer science , machine learning
Corn is the main crop commodity in terms of business aspects and the use of the results as raw material for food and animal feed. In Takalar district there are several patterns of corn marketing channels. This study aims to determine the pattern of corn marketing channels and the efficiency of corn marketing using margin analysis and farmers share methods. The analysis shows that there are 2 patterns of marketing channels, the first channel (farmers - village collectors - sub-district collectors - large traders - end consumers) with a total margin of Rp. 800 / kg and farmers share 78.9%, while in the second channel pattern (farmers - village collectors - large traders - end consumers) get a total margin of Rp. 750 / kg and farmers share 80.3%. The difference in margins and farmers share in the pattern of the first channel with the second channel shows that the longer the market chain, the greater the total marketing margin and the smaller the value of farmers share. For stakeholders, the results of this research can be information material for more efficient implementation of corn marketing.