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Kyaukse University
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Mohnyin University
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Myanmar Institute of Information Technology
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Myanmar Maritime University
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National Management Degree College
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Naypyitaw State Academy
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Pathein University
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Sagaing University of Education
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Taunggyi University
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Technological University, Hmawbi
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Technological University (Kyaukse)
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Technological University Mandalay
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University of Computer Studies, Mandalay
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University of Computer Studies Maubin
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University of Computer Studies, Meikhtila
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University of Computer Studies, Taungoo
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University of Computer Studies, Yangon
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University of Dental Medicine Mandalay
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University of Dental Medicine, Yangon
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University of Information Technology
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University of Medicine Mandalay
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Yangon University of Economics
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Yangon University of Education
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Yangon University of Foreign Languages
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Yezin Agricultural University
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New Index
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Item
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THE EFFECTS OF SOCIO-ECONOMIC FACTORS ON POVERTY LEVEL OF HOUSEHOLDS IN PANDAUNG VILLAGE, SHWEBO TOWNSHIP
https://meral.edu.mm/records/8818
https://meral.edu.mm/records/8818ddfc8372-44ed-4112-a6ef-3cb89dc9dce3
4fd45942-dc76-4365-ad04-5766e22c9e3a
Name / File | License | Actions |
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![]() |
Publication type | ||||||
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Thesis | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | THE EFFECTS OF SOCIO-ECONOMIC FACTORS ON POVERTY LEVEL OF HOUSEHOLDS IN PANDAUNG VILLAGE, SHWEBO TOWNSHIP | |||||
Language | en | |||||
Publication date | 2022-12-01 | |||||
Authors | ||||||
YIN MIN OO | ||||||
Description | ||||||
This study is concerned with socio-economic status of households in Pandaung village, Shwebo township. The purpose of this study is to describe the socio-economic status on paddy farmers’ households and to analyze the factor of poverty on paddy farmers’ households in Pandaung village, Shwebo township. Paddy farmers 154 households are selected from 240 households in Pandaung village, Shwebo township. There were one middle school in Pandaung illage. Descriptive method, multiple regression analysis and binary logistic regression are used in this study to analyze the data. The results of the study how hat most of the household heads have primary level education. According to the multiple regression model results, it is found that income, level of education, rinking water and properties of phone are influential factors of expenditure of households. Employing binary logistic regression model, the dependent variable, poverty situation of households, was regressed on four explanatory variables so as to identify determinants of poverty situation in Pandaung village. Regression results revealed that poverty situation falls as the economically active member in each household increases. The poverty situation was ound to rise with household size and casual workers. Therefore, government should initiate educational programs for improving the socio-economic ttributes of the households as a way of enhancing poverty level of the households | ||||||
Keywords | ||||||
Analysis of Variance, Kasier-Meyer-Olkin, Reinforced Concrete, Socio-economic Status, United State Dollar | ||||||
Thesis/dissertations | ||||||
University of Co-operative and Management, Sagaing | ||||||
Prof. Daw Khin San Kyi |