Analysis of the poverty in rural area of Maubin District, Ayeyarwady region (Kyi Kyi Win, 2021)

The study is an analysis of the poverty in rural area of Maubin District, Ayeyarwady Region. The objectives of the study are to identify the income inequality, to measure the headcount index, poverty gap index, poverty gap squared index, poverty index and to examine the causes of poverty there. Gini coefficient showing with Lorenz Curve is used for the measure of income inequality, and the method revealed by Foster, Joel Greer & Erik Thorbecke (1984) is used for the measure of poverty. Binary Logistic Regression analysis is applied to analyze the causes of poverty. Gini coefficient is 0.597, showing a high inequality and a severe gap of consumption in the study area. Poverty line of the study area is determined at 1551 Kyats per capita a day. It is found that 45.9 percent of population is the poor. Binary Logistic Regression analysis shows that male headed households, family size of 4 to 6 and above 6 members, employment type of general worker and no access to national grid electricity access are more likely to happen poverty. Characteristics of household heads, which are age of household heads from 40 to 49 years and 50 years and above, middle school, high and higher education level of household heads, land owner, fly proof toilet condition and clean water availability, are less likely to happen poverty cet.par. By providing mass production of agricultural produces, by establishing the agro-based value-added manufacturing industries, by promoting the vocational schools and technology improvement, by developing the electricity access, farm land access, water supply and health awareness, it can create highly paid job opportunities to eliminate poverty in the study area. Attempts to apply income redistribution programs are also needed to be worked out poverty challenge in Maubin District

国際貿易、垂直統合及び貿易協定に関する研究

広島大学(Hiroshima University)博士(学術)Doctor of Philosophydoctora

Influencing Factors on Buying Behavior of Consumers Towards Organic Eggs in Yangon

The aim of this study is to investigate the effect of consumers personal and situational factors on their buying intention and actual buying behavior of organic eggs in Yangon. Data are collected from 300 respondents of organic eggs consumers with a structured questionnaire. The findings shows that consumers interest in health, environment, product quality, and their trust on organic eggs significantly influence on their intention to buy organic eggs. Moreover, their buying intention positively affect the buying behavior of consumers towards organic eggs. The results of this study describe various essential conclusions for retailers, policy makers, and social and environmental organizations who are working to establish effective strategies to increase organic egg consumption in Yangon. The results provide valuable information to organic egg producers to help them develop marketing strategies for buying organic eggs

Group Theory Applications: Infra-red Spectral Assignment

Group theory principles were applied and the transformation of the x, y, z vectors on each atom caused by symmetry operations were observed to obtain the 3N basis vector representations é3N, of NiCl4 , Al2Cl6 and Fe(CO)5. The identified infra-red active modes and Raman active modes were then assigned to the experimental spectral frequencies by using the projection operator method

Assessment of Future Climate Change Projections Using Multiple Global Climate Models

Nowadays, the hydrological cycle which alters river discharge and water availability is affected by climate change. Therefore, the understanding of climate change is curial for the security of hydrologic conditions of river basins. The main purpose of this study is to assess the projections of future climate across the Upper Ayeyarwady river basin for its sustainable development and management of water sector for this area. Global Ten climate Models available from CMIP5 represented by the IPCC for its fifth Assessment Report were bias corrected using linear scaling method to generate the model error. Among the GCMs, a suitable climate model for each station is selected based on the results of performance indicators (R2 and RMSE). Future climate data are projected based on the selected suitable climate models by using future climate scenarios: RCP2.6, RCP4.5, and RCP8.5. According to this study, future projection indicates to increase in precipitation amounts in the rainy and winter season and diminishes in summer season under all future scenarios. Based on the seasonal temperature changes analysis for all stations,  the future temperature are  predicted to steadily increase with higher rates during summer than the other two seasons and it can also be concluded that the monthly minimum temperature rise is a bit larger than the maximum temperature rise in all seasons

Historical Morphodynamics Assessment in Bridge Areas using Remote Sensing and GIS Techniques

Currently the Ministry of Construction is responsible for planning and construction of bridges across the country but remote sensing and satellite data are not widely used in the Ministry’s routine process. Although the inspection and monitoring are carried out by the conventional methods, the remote sensing and GIS techniques are available as an alternative way with time and cost saving. From this study, the channel migration in the locations of Ayeyarwady bridges will be analyzed and mapped by identifying temporal changes of channels. Google Earth Engine is used as the primary application in this study and surface water extraction from historical Landsat satellite imagery is done by GEE. River centerline processing and erosion-deposition area identifications are carried out by GIS technique. Study period of each bridge is between 1987 and 2017. Bo Myat Tun Bridge and Ayeyarwady Bridge (Pakokku) are toped in the list with highest migration and erosion-deposition rate according to the study. The goal of this study is to assist the bridge inspections and channel monitoring works by means of remote sensing and GIS techniques which are currently undertaking by Ministry of Construction with conventional techniques

The Impact of the exchange rate unification on trade balance in Myanmar

Thesis(Master) --KDI School:Master of Public Policy,2016This study analyzes the impacts of the exchange rate unification on the trade balance in Myanmar based on Autoregressive Distributed Lag (ARDL) Model. This paper’s main objective is to determine whether the exchange rate has positive or negative effects on the trade balance. This study has discovered that the exchange rate unification has a positive effect on the trade balance in the long run. Additionally, this study finds that Exchange Rate and Foreign Direct Investment have positive effects on the trade balance while GDP growth rate and Inflation has negative impact in the long run. As a policy implication, this study suggests that the government should focus on economic stability and effective monetary policies within the country. Moreover, Myanmar’s new exchange rate system should align with the market speculators without priority of either exporters or importers.1 Introduction 2 Literature Review 3 Empirical Analysis of the Exchange Rate Unification 4 Results and Discussion 5 Summary, Conclusions and Policy RecommendationsmasterpublishedZar Kyi WIN

Analysis of Streamflow Response to Changing Climate Conditions Using SWAT Model

The understanding of climate change is curial for the security of hydrologic conditions of river basins and it is very important to study the climate change impacts on streamflow by analyzing the different climate scenarios with the help of the hydrological models. The main purpose of this study is to project the future climate impact on streamflow by using the SWAT model. The multi-model projections indicated that Upper Ayeyarwady River Basin is likely to become hotter in dry season under low rainfall intensity with increasing temperature and likely to become wetter but warmer in both rainy and winter season because of high rainfall intensity with increased temperature in future. The impact of climate change scenarios is predicted to decrease the annual streamflow by about 0.30 to 1.92% under RCP2.6, 5.59 to 7.29% under RCP4.5 and 10.43 to 11.92% under RCP8.5. Based on the change in high and low flow percentage with respect to the baseline period, the difference between high and low flow variation range will increase year by year based on future scenarios. Therefore, it can be concluded that it may occur more low flow in the dry season which leads to increase in water scarcity and drought and more high flow in the wet season which can cause flooding, water insecurity, stress, and other water-related disasters

Combined instruction scheduling and register allocation

Master'sMASTER OF SCIENC

EFFECTS OF RICE HUSK ASH AND POTASSIUM FERTILIZER APPLICATION ON YIELD AND YIELD COMPONENTS OF RICE (Oryza sativa L.)

The pot and Field experiments were conducted at Department of Soil and Water Science (YAU Farm), Yezin Agricultural University to evaluate the effect of rice husk ash (RHA) and potassium fertilizer application on yield and yield components of sin thu kha rice variety. The pot and field experiments were carried out in the dry season (December to May) 2022-23 and wet season (June to November) 2023. The experiment using T1 - control , T2 - (92 kg K ha-1), T3 - potassium (46 kg K ha-1)+ rice husk ash (5 t ha-1), T4 - potassium (46 kg K ha-1) + rice husk ash (10 t ha-1), T5 - rice husk ash (5 t ha-1), T6 - rice husk ash (10 t ha-1). The experiment was laid out in randomized complete block design (RCBD) with four replications. The both experiments result observed that highest grain yield was observed combined use in T4 - potassium (46 kg K ha-1) + rice husk ash (10 t ha-1),due to production of higher number of tillers hill-1, number of spikelets panicle-1, filled grain %, number of panicles hill-1. The minimum plant growth parameters and yield components were found from the treatments T1 (control). Therefore, the result found that highlighted that potassium fertilizer with rice husk ash should be applied at the rate of 46 kg K ha-1 for sin thu kha rice variety