{"title":"Factors Affecting Crop Choices in Thailand: Rice or Sugarcane?","authors":"Sasarose Jaijit, Paoprasert Naraphorn, Papis Wongchaisuwat, Kittipadakul Piya","doi":"10.7232/iems.2023.22.3.244","DOIUrl":null,"url":null,"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","PeriodicalId":45245,"journal":{"name":"Industrial Engineering and Management Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.6000,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Industrial Engineering and Management Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.7232/iems.2023.22.3.244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
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
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.