{"title":"缅甸钦邦paltwa乡旱地农户粮食安全的决定因素","authors":"San Lwin, S. Poungchompu","doi":"10.4018/IJKSR.2017040104","DOIUrl":null,"url":null,"abstract":"This study aims to determine food security on upland agriculture households in rural area. Food security is concerned with the first two main goals of Sustainable Development Goals, No Poverty and Zero Hunger. Myanmar is Food Insecure State that showing 14.2% that is 7.7 million of 51 million population. Chin state is least developing and Paletwa is poorest out of 324 townships. Research is applied by both qualitative and quantitative approaches. 3 Villages and 1 Quarter are chosen for qualitative method and 141upland agriculture households are selected for field survey using random sampling method. The data are analyzed by logistic regression in SPSS 17 to determine food security. Age, education, schooling years of household head, size, second occupation and no. of working people in households are socio-economic determinant and own food production and fruit access are food security determinant.","PeriodicalId":296518,"journal":{"name":"Int. J. Knowl. Soc. Res.","volume":"103 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Determinant of Food Security on Upland Agriculture Households in Paletwa Township, Chin State of Myanmar\",\"authors\":\"San Lwin, S. Poungchompu\",\"doi\":\"10.4018/IJKSR.2017040104\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to determine food security on upland agriculture households in rural area. Food security is concerned with the first two main goals of Sustainable Development Goals, No Poverty and Zero Hunger. Myanmar is Food Insecure State that showing 14.2% that is 7.7 million of 51 million population. Chin state is least developing and Paletwa is poorest out of 324 townships. Research is applied by both qualitative and quantitative approaches. 3 Villages and 1 Quarter are chosen for qualitative method and 141upland agriculture households are selected for field survey using random sampling method. The data are analyzed by logistic regression in SPSS 17 to determine food security. Age, education, schooling years of household head, size, second occupation and no. of working people in households are socio-economic determinant and own food production and fruit access are food security determinant.\",\"PeriodicalId\":296518,\"journal\":{\"name\":\"Int. J. Knowl. Soc. Res.\",\"volume\":\"103 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. Knowl. Soc. Res.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/IJKSR.2017040104\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Knowl. Soc. Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJKSR.2017040104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Determinant of Food Security on Upland Agriculture Households in Paletwa Township, Chin State of Myanmar
This study aims to determine food security on upland agriculture households in rural area. Food security is concerned with the first two main goals of Sustainable Development Goals, No Poverty and Zero Hunger. Myanmar is Food Insecure State that showing 14.2% that is 7.7 million of 51 million population. Chin state is least developing and Paletwa is poorest out of 324 townships. Research is applied by both qualitative and quantitative approaches. 3 Villages and 1 Quarter are chosen for qualitative method and 141upland agriculture households are selected for field survey using random sampling method. The data are analyzed by logistic regression in SPSS 17 to determine food security. Age, education, schooling years of household head, size, second occupation and no. of working people in households are socio-economic determinant and own food production and fruit access are food security determinant.