Multi-Regression Modeling of Harvest Income in Smallholder Long Coriander Production: Insights from Battambang, Cambodia
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Published:2024-08-30
Issue:4
Volume:12
Page:307-316
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ISSN:2330-8591
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Container-title:American Journal of Agriculture and Forestry
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language:en
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Short-container-title:AJAF
Author:
Darith Siek1ORCID, Eav Lim2ORCID
Affiliation:
1. Regional Polytechnic Institute Techno Sen Battambang, Ministry of Laboure and Vocational Training, Battambang, Cambodia 2. Faculty of Business Administration, Build Bright University, Banteay Meanchey, Cambodia
Abstract
The target of this study is to promote Long Coriander production; the most widely recognized leafy vegetable in Southeast Asia and Cambodia. As a substitute for regular coriander, it is valued for its taste and health benefits. The market price for Long Coriander seeds typically goes up and down depending on the season, similar to other fluctuations observed in other agricultural products. In an effort to fulfill the study's expectations, researchers intend to identify the key factors affecting the profitability of Long Coriander production for smallholders in Battambang, Cambodia. Using multi-regression models, the analysis will determine the statistical significance of specific cost categories and their influence on incomes from both single and annual harvests of Long Coriander. Two regression analyses will be applied: ordinary least squares (OLS) and stepwise regression. Understanding the factors influencing Long Coriander harvest income is crucial for developing targeted strategies to improve the livelihoods of rural producers. With the knowledge gained from this study, smallholders will be able to make strategies that will maximize profitability and maintain the long-term sustainability of Long Coriander production within the context of agriculture. Additionally, the study also defines variables that can be controlled by producers, besides the variables that have a significant effect by chance.
Publisher
Science Publishing Group
Reference27 articles.
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