Factors Affecting Crop Choices in Thailand: Rice or Sugarcane?

IF 0.6 Q4 ENGINEERING, INDUSTRIAL
Sasarose Jaijit, Paoprasert Naraphorn, Papis Wongchaisuwat, Kittipadakul Piya
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引用次数: 0

Abstract

This work identifies the key factors affecting the substitution of rice with sugarcane production in Thailand. We collected primary data from 223 farmers in a targeted area of Chachoengsao, Lopburi, and Saraburi Provinces. To determine the most important factors using stepwise and PCA in logistic regression approaches, aspects such as physical and crop characteristics, socioeconomic indicators, and personal perspectives were examined. Our stepwise selection procedure with a 95% confidence interval revealed that 9 out of the 38 features were retained for Area 1 and a total of 12 features were retained for Area 2. From using PCA in logistic regression, the knowledge of sugarcane farming and the cost of sugarcane farming were the top features of encourage and inhibit factors in the choice to switch crops in Area 1. Conversely, rice farmers in Area 2 base their decisions predominantly on their knowledge of sugarcane farming while the adaption of sugarcane production technology contributed to the farmers
影响泰国作物选择的因素:水稻还是甘蔗?
这项工作确定了影响泰国以甘蔗替代大米生产的关键因素。我们收集了chachengsao省、华武里省和Saraburi省目标地区223名农民的原始数据。为了在逻辑回归方法中使用逐步和主成分分析来确定最重要的因素,研究了物理和作物特征、社会经济指标和个人观点等方面。我们的逐步选择程序(95%置信区间)显示,38个特征中有9个被保留用于区域1,总共12个特征被保留用于区域2。从logistic回归的主成分分析来看,甘蔗种植知识和甘蔗种植成本是1区农民选择转种作物的主要激励因素和抑制因素。相反,2区稻农的决策主要基于他们对甘蔗种植的了解,而甘蔗生产技术的适应对农民有贡献
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来源期刊
CiteScore
2.20
自引率
28.60%
发文量
45
期刊介绍: Industrial Engineering and Management Systems (IEMS) covers all areas of industrial engineering and management sciences including but not limited to, applied statistics & data mining, business & information systems, computational intelligence & optimization, environment & energy, ergonomics & human factors, logistics & transportation, manufacturing systems, planning & scheduling, quality & reliability, supply chain management & inventory systems.
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