Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach
The measures taken by the Government of Myanmar to contain the transmission of COVID-19 are a necessary and appropriate response. In-depth analysis of measures of this magnitude on firms, households, government, and the economy as a whole is key to the design of policy interventions that can mitigat...
| Main Authors: | , , , , , |
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| Format: | Brief |
| Language: | Inglés Burmese |
| Published: |
International Food Policy Research Institute
2020
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/143812 |
| _version_ | 1855543708358803456 |
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| author | Diao, Xinshen Aung, Nilar Lwin, Wuit Yi Zone, Phoo Pye Nyunt, Khin Maung Thurlow, James |
| author_browse | Aung, Nilar Diao, Xinshen Lwin, Wuit Yi Nyunt, Khin Maung Thurlow, James Zone, Phoo Pye |
| author_facet | Diao, Xinshen Aung, Nilar Lwin, Wuit Yi Zone, Phoo Pye Nyunt, Khin Maung Thurlow, James |
| author_sort | Diao, Xinshen |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The measures taken by the Government of Myanmar to contain the transmission of COVID-19 are a necessary and appropriate response. In-depth analysis of measures of this magnitude on firms, households, government, and the economy as a whole is key to the design of policy interventions that can mitigate the economic losses and support a sustained and robust recovery. The economic losses to Myanmar’s economy in 2020 due to the COVID-19 pandemic will be huge – a drop in production on the order of between 6.4 and 9.0 trillion Kyat – and likely will push the economy into a recession or lead to stagnant growth, at best, for the year. Although lockdown policies provide exemptions for most agricultural activities, linkages to other sectors indirectly affect the agri-food sector significantly. The agricultural sector is expected to contract by between 1.1 and 2.4 percent in 2020, and recovery will be slow. Closure of factories will have a large negative economic impact due to the strong linkage effects between manufacturing and upstream primary agriculture and downstream marketing services. Reopening the manufacturing sector is crucial for economic recovery in Myanmar. |
| format | Brief |
| id | CGSpace143812 |
| institution | CGIAR Consortium |
| language | Inglés Burmese |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1438122025-11-06T07:50:07Z Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach Diao, Xinshen Aung, Nilar Lwin, Wuit Yi Zone, Phoo Pye Nyunt, Khin Maung Thurlow, James models service industry economic impact secondary sector policies covid-19 tourism remittances mining agriculture trade disease prevention agrifood systems gross national product multipliers The measures taken by the Government of Myanmar to contain the transmission of COVID-19 are a necessary and appropriate response. In-depth analysis of measures of this magnitude on firms, households, government, and the economy as a whole is key to the design of policy interventions that can mitigate the economic losses and support a sustained and robust recovery. The economic losses to Myanmar’s economy in 2020 due to the COVID-19 pandemic will be huge – a drop in production on the order of between 6.4 and 9.0 trillion Kyat – and likely will push the economy into a recession or lead to stagnant growth, at best, for the year. Although lockdown policies provide exemptions for most agricultural activities, linkages to other sectors indirectly affect the agri-food sector significantly. The agricultural sector is expected to contract by between 1.1 and 2.4 percent in 2020, and recovery will be slow. Closure of factories will have a large negative economic impact due to the strong linkage effects between manufacturing and upstream primary agriculture and downstream marketing services. Reopening the manufacturing sector is crucial for economic recovery in Myanmar. 2020-04-01 2024-05-22T12:17:07Z 2024-05-22T12:17:07Z Brief https://hdl.handle.net/10568/143812 en my https://doi.org/10.2499/p15738coll2.133742 https://doi.org/10.2499/p15738coll2.133789 Open Access application/pdf application/pdf International Food Policy Research Institute Diao, Xinshen; Aung, Nilar; Lwin, Wuit Yi; Zone, Phoo Pye; Nyunt, Khin Maung; and Thurlow, James. Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach. Myanmar SSP Policy Note 5. Washington, DC: International Food Policy Research Institute (IFPRI). https://doi.org/10.2499/p15738coll2.133745. |
| spellingShingle | models service industry economic impact secondary sector policies covid-19 tourism remittances mining agriculture trade disease prevention agrifood systems gross national product multipliers Diao, Xinshen Aung, Nilar Lwin, Wuit Yi Zone, Phoo Pye Nyunt, Khin Maung Thurlow, James Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach |
| title | Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach |
| title_full | Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach |
| title_fullStr | Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach |
| title_full_unstemmed | Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach |
| title_short | Assessing the impacts of COVID-19 on Myanmar’s economy: A Social Accounting Matrix (SAM) multiplier approach |
| title_sort | assessing the impacts of covid 19 on myanmar s economy a social accounting matrix sam multiplier approach |
| topic | models service industry economic impact secondary sector policies covid-19 tourism remittances mining agriculture trade disease prevention agrifood systems gross national product multipliers |
| url | https://hdl.handle.net/10568/143812 |
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