{"created":"2021-09-13T23:11:53.017705+00:00","id":8055,"links":{},"metadata":{"_buckets":{"deposit":"8abc0272-f800-4d5d-82d9-e7054bb58ca8"},"_deposit":{"created_by":141,"id":"8055","owner":"141","owners":[141],"owners_ext":{"displayname":"","email":"pipepipekyi@gmail.com","username":""},"pid":{"revision_id":0,"type":"depid","value":"8055"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/00008055","sets":["1607960099348","1607960099348:1608035612363"]},"author_link":[],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"FACTORS AFFECTING ON POVERTY OF HOUSEHOLDS IN FLOODED AREA OF SHAN KA LAY KYUN VILLAGE, AMARAPURA TOWNSHIP","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"This paper is concerned with the socio-economic status and poverty level of\nhouseholds in Shan Ka Lay Kyun Village. The objectives of the study are to investigate\nthe socio-economic situations of households, to analyse the factor affecting on the\nexpenditure of households and to analyze the socio-economic factors affecting on\npoverty of household in flooded area of Shan Ka Lay Kyun Village, Amarapura\nTownship. Primary data to collect the require information 300 households from 850\nhouseholds are randomly selected by using simple random sampling method. In this\npaper, descriptive analysis, multiple regression analysis, binary logistic regression\nanalysis and principal component analysis (PCA) for calculating wealth index are used.\nMost of the household heads are primary education level. Households’ earned monthly\nincome between 90000 and 374999 Kyats. Households’ monthly expenditure was\nfound between 22100 and 162099 Kyats. To analyze the factors affecting on monthly\nexpenditure of households, multiple linear regression model is used. According to the\nresults of multiple linear regression models, total income, family size, length of stay\nand number of students are statistically significant. In binary logistic regression\nanalysis, total income and loans are positively correlated with poverty and occupation,\nfamily size, gender and number of student are negatively correlated with poverty. It is\nsuggested that garbage system should be changed for not harming in environment and\nthe socio-economic life of households in Shan Ka Lay Kyun Village should be uplift to\nincrease the income level."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"Shan Ka Lay Kyun Village, socio-economic life, poverty, HOUSEHOLDS, FLOODED AREA , AMARAPURA TOWNSHIP"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2021-09-13"}],"displaytype":"detail","fileDate":[{"fileDateType":"Accepted","fileDateValue":"2021-07-01"}],"filename":"EI SHWE SIN, AS.pdf","filesize":[{"value":"2.3 MB"}],"format":"application/pdf","licensetype":"license_0","url":{"url":"https://meral.edu.mm/record/8055/files/EI SHWE SIN, AS.pdf"},"version_id":"09c9b61e-5c78-4f1a-9f3c-88d65b218a93"}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"CO-OPERATIVE UNIVERSITY, SAGAING"}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"EI SHWE SIN"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Other"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Thesis"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2021-07-01"},"item_title":"FACTORS AFFECTING ON POVERTY OF HOUSEHOLDS IN FLOODED AREA OF SHAN KA LAY KYUN VILLAGE, AMARAPURA TOWNSHIP","item_type_id":"21","owner":"141","path":["1607960099348","1608035612363"],"publish_date":"2021-07-01","publish_status":"0","recid":"8055","relation_version_is_last":true,"title":["FACTORS AFFECTING ON POVERTY OF HOUSEHOLDS IN FLOODED AREA OF SHAN KA LAY KYUN VILLAGE, AMARAPURA TOWNSHIP"],"weko_creator_id":"141","weko_shared_id":-1},"updated":"2021-12-13T08:09:27.134191+00:00"}