1,720,973 research outputs found

    ROLE OF EDUCATION IN WOMEN’S EMPOWERMENT IN MYANMAR (Nilar Aung, 2019)

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    education with primary level, women’s occupation, wife’s income compared with husband’s income, ownership of house, women’s age, number of living children, place of residence and region (Taninthayi, Bago, Rakhine, Yangon and Shan). Based on the results found in this study, women’s education with higher level have positive impact on the women’s empowerment. Therefore, it can concluded that women’s education is key factor of female labor force participation in Myanmar. The study used data from Myanmar Demographic and Health Survey to assess the role of education on women’s empowerment in Myanmar. Descriptive statistics and multinomial logistic regression are used for analysis. The result from descriptive statistics showed that women’s empowerment is mostly differ by socio-economic and demographic factors. The result of Pearson’s Chi-Square statistic revealed that the existence of association between women’s empowerment and its covariates. According to the multinomial logistic regression results, women’s age, number of living children, women head of household, wife’s income compared with husband’s income and ownership of house have significant impact on women’s empowerment. In addition the evidence of this results, positive relationship are observed between women’s empowerment and women’s education with higher level, husban

    Factors Influencing Myanmar Tourist Decisions Toward Traveling to Europe (May Nilar Aung, 2025)

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    This study examines the factors influencing Myanmar Tourist Decisions toward traveling to Europe, focusing on three primary variables: travel motivations, marketing influences, and destination attributes. The study used a quantitative research approach, collected primary data through structured questionnaires from 273 Myanmar tourists who visited Europe during 2024 travel season. The findings reveal that travel motivations, marketing influences, and destination attributes are statistically influence on the tourist decisions. Marketing Influences had the strongest effect, followed by destination Attributes and Travel Motivations. Based on these findings, the important suggestion for the tourism stakeholders are to offer attractive, well-organized European tour packages with seasonal promotions and professional staff support. Promotions should highlight Europe’s unique experiences, high-quality accommodations, and convenient transport. Marketing efforts should appeal to tourists’ emotions, especially the desire to escape routine and explore new cultures and experiences. These strategies can effectively align with the psychological needs and destination preferences that drive the decisions of Myanmar tourists

    COVID-19 in Myanmar: Impacts on the Economy, Agri-Food System, Jobs, and Incomes

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    By Xinshen Diao, Nilar Aung, Wuit Yi Lwin, Phoo Pye Zone, James Thurlow, and Khin Maung Nyun

    Shocks, Production, Exports and Market Prices: An Analysis of the Rice Sector in Myanmar

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    An output of the Myanmar Strategy Support Program, with USAID and Michigan State University. Presented by Paul Dorosh, Director, Development Strategy and Governance Unit, International Food Policy Research Institute and Nilar Aung, Research Specialist, Michigan State University

    [Myanmar] Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach

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    Auteurs : Xinshen Diao, Nilar Aung, Wuit Yi Lwin, Phoo Pye Zone, Khin Maung Nyunt, James Thurlow Production : The International Food Policy Research Institute (IFPRI) provides research-based policy solutions to sustainably reduce poverty and end hunger and malnutrition in developing countries. Established in 1975, IFPRI currently has more than 600 employees working in over 50 countries. It is a research center of CGIAR, a worldwide partnership engaged in agricultural research for developmen..

    Supply of Vegetables for Yangon City

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    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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