MERAL Myanmar Education Research and Learning Portal
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A Study on Production of Rice in Myanmar(2000-2001 to 2019-2020) (Phyo Paing Aung, 2023)
https://meral.edu.mm/records/9068
https://meral.edu.mm/records/9068090eb6c6-7d01-47c6-97f8-ae3ffb8d3b16
3c99382b-b70f-4ec4-964a-2670694d256a
Name / File | License | Actions |
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Phyo Paing Aung, MAS-20, 1st Batch.pdf (2.4 MB)
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Title | ||||||
Title | A Study on Production of Rice in Myanmar(2000-2001 to 2019-2020) (Phyo Paing Aung, 2023) | |||||
Language | en | |||||
Publication date | 2023-09-01 | |||||
Authors | ||||||
Phyo Paing Aung | ||||||
Description | ||||||
Rice is a dominate crop in Myanmar and it is making important contributions to the country’s GDP, employment and income generation. Myanmar is the world’s seventh-largest rice-producing country in 2017-18 and still has a great potential for higher production. In this study, the secondary time series data for twenty years’ period from 2000-2001 to 2019-2020 were used in data analysis. The main objective is to find the trend and forecasts of rice production and to determine the best fitted regression model for the volume of rice production in Myanmar. According to the results of time series analysis, the cubic trend model was the best fitted trend model for rice production. Multiple linear regression model and Cobb-Douglas production function model (log-log model) were used to determine the best fitted regression model for the rice production in Myanmar. As a result, the Cobb-Douglas production function model was the more appropriate model and it was used for the prediction of rice production. The predictor variables; harvested area, agricultural implements and average annual rainfall were found as the influencing factors on volume of rice production. It was also found that the sum of three rice production elasticity is the increasing return to scale. |
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Thesis/dissertations | ||||||
Yangon University of Economics | ||||||
Daw Thida Win |