{"_buckets": {"deposit": "3c99382b-b70f-4ec4-964a-2670694d256a"}, "_deposit": {"created_by": 20, "id": "9068", "owner": "20", "owners": [20], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "depid", "value": "9068"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/00009068", "sets": ["1582963436320"]}, "author_link": [], "control_number": "9068", "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "A Study on Production of Rice in Myanmar(2000-2001 to 2019-2020) (Phyo Paing Aung, 2023)", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Rice is a dominate crop in Myanmar and it is making important contributions\nto the country’s GDP, employment and income generation. Myanmar is the world’s\nseventh-largest rice-producing country in 2017-18 and still has a great potential for\nhigher production. In this study, the secondary time series data for twenty years’\nperiod from 2000-2001 to 2019-2020 were used in data analysis. The main objective\nis to find the trend and forecasts of rice production and to determine the best fitted\nregression model for the volume of rice production in Myanmar. According to the\nresults of time series analysis, the cubic trend model was the best fitted trend model\nfor rice production. Multiple linear regression model and Cobb-Douglas production\nfunction model (log-log model) were used to determine the best fitted regression\nmodel for the rice production in Myanmar. As a result, the Cobb-Douglas production\nfunction model was the more appropriate model and it was used for the prediction of\nrice production. The predictor variables; harvested area, agricultural implements and\naverage annual rainfall were found as the influencing factors on volume of rice\nproduction. It was also found that the sum of three rice production elasticity is the\nincreasing return to scale."}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2023-10-27"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Phyo Paing Aung, MAS-20, 1st Batch.pdf", "filesize": [{"value": "2.4 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 2400000.0, "url": {"url": "https://meral.edu.mm/record/9068/files/Phyo Paing Aung, MAS-20, 1st Batch.pdf"}, "version_id": "a21e3954-a7ed-4503-8aff-8c7b8aeaaf37"}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "Yangon University of Economics", "subitem_supervisor(s)": [{"subitem_supervisor": "Daw Thida Win"}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Phyo Paing Aung"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Other"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Thesis"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2023-09-01"}, "item_title": "A Study on Production of Rice in Myanmar(2000-2001 to 2019-2020) (Phyo Paing Aung, 2023)", "item_type_id": "21", "owner": "20", "path": ["1582963436320", "1582965763232"], "permalink_uri": "https://meral.edu.mm/records/9068", "pubdate": {"attribute_name": "Deposit date", "attribute_value": "2023-10-27"}, "publish_date": "2023-10-27", "publish_status": "0", "recid": "9068", "relation": {}, "relation_version_is_last": true, "title": ["A Study on Production of Rice in Myanmar(2000-2001 to 2019-2020) (Phyo Paing Aung, 2023)"], "weko_shared_id": -1}