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Analysis of Groundnut Sown Acre, Harvested Acre and Production in Myanmar
https://meral.edu.mm/records/8263
https://meral.edu.mm/records/8263ba7f3fdd-e6ff-49f9-8869-61c520eac01a
ee0af979-cacd-4dc9-b415-7da219f6163b
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Title | ||||||
Title | Analysis of Groundnut Sown Acre, Harvested Acre and Production in Myanmar | |||||
Language | en | |||||
Publication date | 2022-04-01 | |||||
Authors | ||||||
Thu Zar Aung | ||||||
Description | ||||||
Groundnut is the basic requirement crop in Myanmar. This study concentrates on the estimated trend equations like linear, quadratic, cubic models for groundnut sown acre, harvested acre and production in Myanmar. In this thesis, the sown acre, harvested acre and production of groundnut over the last 30 years (1988-89 to 2017-18) are studied and forecast values for next three years (2018-2019 to 2020- 20201) are made using best fitted cubic model. The required annual time series data are obtained from the Central Statistical Organization (CSO) of Myanmar. This study is intended to be able to choose the best model among models namely Linear, Quadratic, Cubic. The best fitted model for the future projection was chosen based upon the highest coefficient of determination (R2 ), and the values of smallest MSE, RMSE and MAPE by comparing with other models. The cubic model was chosen as the best fitted model for sown acre, harvested acre and production of groundnut data series. Using the cubic model, the values of groundnut production were predicted. It was also found that the assumptions concerned with the production function model are satisfied. In addition, the multiple regression model for groundnut production was also obtained using sown acre, yields per harvested acre and irrigation. The double log multiple linear regression model was chosen for the analysis. |
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Thesis/dissertations | ||||||
Yangon University of Economics | ||||||
Daw Khin Thet Tun |