Myanmar High-frequency Monitoring of Covid-19 Impacts
R O U N D 1 2020 The World BankMyanmar High-frequency Monitoring of Covid-19 Impacts Myanmar - - PowerPoint PPT Presentation
Myanmar High-frequency Monitoring of Covid-19 Impacts Myanmar - - PowerPoint PPT Presentation
R O U N D 1 Myanmar High-frequency Monitoring of Covid-19 Impacts Myanmar Covid19 Monitorng Round 1 2020 The World Bank Myanmar COVID-19 Monitoring Round 1 Survey 2 Myanmar Covid19 Monitorng Round 1 Myanmar COVID-19
Survey
2The only nationally representative survey of firms in Myanmar
3Closing the Development Gap
500 firms 8 rounds
The survey also covers all of Myanmar and is divided into 6 zones (Yangon, Mandalay, Chin and Dry Zone, Delta and Costal Lowland, and the Hilly zone.
12 sectors
The survey is nationally representative and is the only enterprise survey that also covers the Agriculture sector (17%). Manufacturing (33%), Retail (17%) and Services (32%) are the other sectors.
Micro & Informal too
The survey covered micro and small firms too and not just large and formal firms. 35% of the sample were micro firms and 40% were small firms. Medium firms were 19% and large firms 6%.
16 % of firms closed for an average of 2 months AND expect to stay closed for another month
4Border states and more densely populated areas saw higher temporary closures
Two of the five zones are single states, Yangon and Mandalay. The Hilly Zone includes the states of Kachin, Kayah, and Shan. The Delta and Coastal Lowland Zone includes the states of Ayeyarwaddy, Rakhine, Mon, Bago, Tanintharyi, and Kayin. Chin and the Dry Zone includes the states of Chin, Sagaing, Magwe, and Nay Pyi Taw.
512% 13% 18% 20% 23%
Delta and Coastal Lowland Chin and Dry Zone Mandalay Yangon Hilly Zone
39 % of firms in the service sector closed temporarily
639% 15% 12% 6%
Service Retail and wholesale Manufacturing Agriculture
83%
- f firms
experienced reduction in sales
51%
- f firms experienced cash flow
shortages
- f firms experienced
a reduction in accessing credit
729%
Female-
- wned firms
were more likely to report negative effects from Covid-19
816% 86% 52% 32%
17% 80% 50% 25%
Temporarily closed Reduction in sales Cash flow shortages Reduction in access to credit Female ownership Non-female ownership
Firms in agriculture were hardest hit by cash flow shortages and access to credit
Agriculture firms were least impacted by reduction in sales, but their smaller profits and informal status exposed them most to cash flow shortages and access to credit
1075%
89% 82% 84%
64%
52% 41% 48%42% 21% 27% 30% Agriculture Manufacturing Retail and wholesale Service Agriculture Manufacturing Retail and wholesale Service Agriculture Manufacturing Retail and wholesale Service Reduction in sales Cash flow shortages Reduction in access to credit
69% of firms saw a decline in profits compared to last year
71% 71% 68% 67% 69%
Service Manufacturing Agriculture Retail and wholesale Total
61% 56% 55% 50% 55%
Service Agriculture Retail and wholesale Manufacturing Total
The average decline in profits was 55%
36%
- f firms believe
they will go into arrears in next 3 months
27%
- f firms are NOT CONFIDENT they
will be in business in 3 months time
- f firms expect
to close within the month
127%
52% of agricultural firms expect to fall in arrears in next 3 months… …with medium and larger firms more likely to go into arrears
52% 39% 34% 24% 36%
Agriculture Service Retail and wholesale Manufacturing Total
61% 43% 39% 34% 36%
Medium (20- 99) Large (>99) Small (5-19) Micro (1-4) Total
Firms across the sectors expect sales to be 28% lower again next quarter, compared to same time last year.
- 9%
- 24%
- 24%
- 25%
- 27%
- 30%
- 30%
- 31%
- 31%
- 33%
- 44%
- 65%
Construction Food and Beverage Products Retail and Wholesale Financial Services Agriculture and Aquaculture Food and Beverage Services Health and Pharmaceutical… Other Manufacturing Textiles and Garments Accommodation Information Technology and… Other Services
36% of firms shifted to delivery services and only 6% shifted to remote working arrangements
1536% 26% 19% 6%
Started or increased delivery or carry-on Changed its production or services offered partically or completely Adopted online/digital platform for major business functions such as sales Started or increased remote work arrangement for its workforce
Only 10% of firms applied for government support Agricultural firms along with micro and small firms had the lowest applications
15% 12% 8% 6% 10%
Service Manufacturing Retail and wholesale Agriculture Total
30% 23% 20% 3% 10%
Large (>99) Medium (20- 99) Small (5-19) Micro (1-4) Total
38% of
firms said access to loans/credit guarantees were the most needed government support