{"title":"Factors Affecting the Income of Vietnamese Peasants: A Case in Tra Vinh Province","authors":"H. Nguyen, Trung-Thanh Nguyen","doi":"10.5430/RWE.V10N1P54","DOIUrl":null,"url":null,"abstract":"Studying the factors affecting the income of Vietnamese peasants: A case in Tra Vinh province, by data collection method of 170 peasants’ households in 4 districts: Cau Ngang, Cang Long, Chau Thanh and Tieu Can in Tra Vinh province, Vietnam. The authors use multivariate regression analysis method. The study has found the factors such as gender of households’s heads, ages of households’ heads, education levels, the number of family members, dependency rates, application of technical advances, production areas affecting the income of peasants in these areas. Since then, the study has implied a policy to improve the income of peasants. For example, it could be very important for us to focus on training science and technology in agriculture, diversify crops and livestock in agriculture, improve techniques and enhance education levels to increase income for peasants in Tra Vinh province in the future.","PeriodicalId":339660,"journal":{"name":"KODISA International Conference on Business and Economics (KODISA.ICBE)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"KODISA International Conference on Business and Economics (KODISA.ICBE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5430/RWE.V10N1P54","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Studying the factors affecting the income of Vietnamese peasants: A case in Tra Vinh province, by data collection method of 170 peasants’ households in 4 districts: Cau Ngang, Cang Long, Chau Thanh and Tieu Can in Tra Vinh province, Vietnam. The authors use multivariate regression analysis method. The study has found the factors such as gender of households’s heads, ages of households’ heads, education levels, the number of family members, dependency rates, application of technical advances, production areas affecting the income of peasants in these areas. Since then, the study has implied a policy to improve the income of peasants. For example, it could be very important for us to focus on training science and technology in agriculture, diversify crops and livestock in agriculture, improve techniques and enhance education levels to increase income for peasants in Tra Vinh province in the future.