| Literature DB >> 33869579 |
Golam Rasul1, Apsara Karki Nepal1, Abid Hussain1, Amina Maharjan1, Surendra Joshi1, Anu Lama1, Prakriti Gurung1, Farid Ahmad1, Arabinda Mishra1, Eklabya Sharma1.
Abstract
The dramatic spread of COVID-19 has threatened human lives, disrupted livelihoods, and affected trade, economy and businesses across the globe. The global economy has begun to show major disruptions and is heading toward a severe recession with an unprecedented economic crisis. As the global economy is highly integrated and interdependent through the global supply chains, it has been profoundly affected by the COVID-19 pandemic. Although all countries have faced difficulties due to Covid-19, South Asian countries in particular have had to deal with a more challenging situation due to their large population, weak health facilities, high poverty rates, low socio-economic conditions, poor social protection systems, limited access to water and sanitation, and inadequate living space, necessary to maintain physical distancing and take other required measures to contain this pandemic. To contain the spread of the virus, South Asian countries have imposed stringent lockdowns, which have consequently affected the lives and livelihoods of millions of people in the region, where a third of world's poor live. Against this backdrop, this paper examines the existing and prospective impacts, risks and challenges of Covid-19 on key social and economic sectors including migration, tourism, informal sector, agriculture and rural livelihoods. The analysis revealed that COVID-19 is likely to affect economic growth, increase fiscal deficit and monetary burden, increase the risks of macroeconomic instability, decrease migration and remittance, reduce income from travel and tourism, and result in dwindling micro-small and medium industries and informal businesses. This is likely to deepen poverty and increase unemployment and the risks of hunger and food insecurity. If not addressed properly, this may reinforce existing inequalities, break social harmony, and increase tension and turbulence. The economic and social costs of the COVID-19 outbreak are therefore likely to be significant and long-lasting in South Asia.Entities:
Keywords: COVID-19; Poverty and inequality; South Asia; public health; socio-economic impact
Year: 2021 PMID: 33869579 PMCID: PMC8022444 DOI: 10.3389/fsoc.2021.629693
Source DB: PubMed Journal: Front Sociol ISSN: 2297-7775
Measures taken by the Governments in South Asia to contain spread of COVID-19 in early stage of infection.
| Country | Lockdown measures (duration) | International borders/travel restrictions | Air travel | Land transport | Maritime transport |
|---|---|---|---|---|---|
| Afghanistan | Complete lockdown from 22 March till 24 May | Closed, open only for immigrants | Passive restriction enforced by neighbor countries at border | Passive restriction enforced by neighbor countries at border | Not applicable |
| Bangladesh | Started from 26 March to 16 May and extended further to May 30. Hotspot lockdowns imposed | Closed | Domestic flights opened from 1st June. International flights closed till 15th June. Cargo flights only | Freight trains | Essential good only |
| Bhutan | Restriction on entry of tourists from 6 March; 23 March—international borders sealed lockdown from April 1 to 21 | Closed | Not allowed | Essential goods only | Not applicable |
| India | 25 March to 31 May lockdown extended till 30th June in containment zones. Many activities were allowed after June 8, 2020 | Closed | Domestic flights resumed but passive restrictions for international flight | Passive restriction enforced by neighbor countries at border | No data |
| Maldives | Public health emergency was declared on 19 March. Lockdown from 1 April to 12th June in greater Malé | Closed | Permission required | Not applicable | Allowed |
| Nepal | 23 March to 2 June. Further extended to 14 June | Closed | Permission required | Conflicting information | Not applicable |
| Pakistan | 1 April to 9 May. lockdown lifted | Closed | International flights allowed cargo flights only | Prohibited | Allowed |
| Sri Lanka | Public holiday declared from 15 March lockdown from 20 March to 11 May | Closed | Cargo flights | Prohibited | No data |
Sources; Adapted from UNESCAP, 2020.
Macro-economic indicators of South Asia -Real GDP Growth, Inflation, and Current Account Balance.
| Real GDP growth (annual % change) | Inflation (% change in consumer prices) | Current account balance (% of GDP) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Actual | Projections | Actual | Projections | Actual | Projections | ||||
| Country | 2019 | 2020 | 2021 | 2019 | 2020 | 2021 | 2019 | 2020 | 2021 |
| Afghanistan | 3.9 | −5.0 | 4.0 | 2.3 | 5.4 | 4.8 | 11.7 | 9.5 | 7.8 |
| Bangladesh | 8.2 | 3.8 | 4.4 | 5.5 | 5.6 | 5.9 | −1.7 | −1.5 | 2.8 |
| Bhutan | 3.8 | 0.6 | −0.5 | 2.6 | 3.6 | 4.6 | −22.5 | −21.4 | −13.5 |
| India | 4.2 | −10.3 | 8.8 | 4.8 | 4.9 | 3.7 | −0.9 | −0.3 | −0.9 |
| Maldives | 5.7 | −18.6 | 12.7 | 1.3 | 0.4 | 2.7 | −26.0 | −31.8 | −17.0 |
| Nepal | 7.1 | 0 | 2.5 | 4.6 | 6.4 | 6 | −7.7 | −2.5 | −7.0 |
| Pakistan | 1.9 | −0.4 | 1.0 | 6.7 | 10.7 | 8.8 | −4.9 | −1.1 | −2.5 |
| Sri Lanka | 2.3 | −4.6 | 5.3 | 4.3 | 4.7 | 4.6 | −-2.2 | −3.6 | −3.2 |
Sources: Internal Monetary Fund, 2020.
FIGURE 1Informal employment in South Asia in agriculture, industry and service sectors. Source: ILO, 2018.
Basic facilities in health sector and Social Security Coverage in South Asian countries.
| Countries | Public health exp (% GDP) | Basic sanitation services | Employment with social security | Employment without social security | Potential job losses (millions) |
|---|---|---|---|---|---|
| Afghanistan | 0.49 | 38.75 | 3.7 | 96.3 | 12.37 |
| Bangladesh | 0.47 | 43.78 | 2.5 | 97.5 | |
| Bhutan | 2.49 | 65.67 | 14.00 | 86.00 | |
| India | 0.91 | 50.48 | 10.3 | 89.7 | 112.8 |
| Maldives | 5.21 | 96.2 | |||
| Nepal | 1.00 | 51.28 | 3.4 | 96.6 | 2.27 |
| Pakistan | 0.72 | 54.45 | 3.9 | 96.1 | 11.71 |
| Sri Lanka | 1.62 | 93.41 | 24.1 | 75.9 | 0.92 |
| World | 5.8 | 69.94 | 41.3 | 58.7 |
Sources: ESCAP, 2020.
Health security ranking and score of South Asian countries.
| Countries | Global health security rank and score* | |
|---|---|---|
| Rank | Score | |
| India | 57 | 46.5 |
| Bhutan | 85 | 40.3 |
| Pakistan | 105 | 35.5 |
| Nepal | 111 | 35.1 |
| Bangladesh | 113 | 35.0 |
| Sri Lanka | 120 | 33.9 |
| Maldives | 121 | 33.8 |
| Afghanistan | 130 | 32.3 |
Source and notes: Higher the score better (lower) the rank. Score is 0–100. 100 is the best health security condition. The rank and scores are based on the following criteria: A) Prevention of the emergence of release of pathogens; B) Early detection and reporting for epidemic of potential international concern; C) Rapid response to and mitigation of the spread of an epidemic; D) Sufficient and robust health system to treat the sick and protect health workers; E) Commitment to improving national capacity, financing and adherence to norms, and F) Overall risk environment and country vulnerability to biological threats.
source: Babu et al (2020)
Employment and economic contribution of tourism and travel industry in South Asia.
| Country | Share of GDP (%) | Number of jobs in T&T (in Thousand) | Share in total employment, most recent year (%) | Growth (2018 or latest year) |
|---|---|---|---|---|
| Bangladesh | 4.4 | 2,414 | 3.9 | 11.6 |
| India | 9.2 | 42,673 | 8.1 | 6.7 |
| Maldives | 66.4 | 69 | 32.4 | 7.9 |
| Nepal | 7.9 | 1,051 | 6.7 | 3.6 |
| Pakistan | 7.1 | 3,850 | 6.3 | 7.4 |
| Sir Lanka | 12.5 | 1,000 | 12.1 | 12.4 |
Source: World Bank (2020a).
Emerging social risks and challenges and possible socio-economic implications.
| Drivers/triggers | Emerging risks and challenges for south Asian countries | Socio-economic implications |
|---|---|---|
| ∙Corona virus hits in waves and there is huge uncertainty about the future of the spread of the corona virus | ∙Increased uncertainty about future of the spread of the corona virus | ∙Higher risks and vulnerabilities in mountain areas |
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| ∙Slow revival of tourism due to high avoidance and risk behavior | ∙Reduced income from travel and tourism | ∙Increased challenge of reviving tourism sector |
| ∙Reduced household income | ∙Increased risks of hunger and food insecurity | ∙Increased indebtedness, loss of productive assets |
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| ∙Disruption of agricultural production and transportation of foods | ∙Increasing food panic buying | ∙Undermine mountain food security |
| ∙Soaring unemployment, low income, food insecurity and increasing level of anxiety among people may generate discontent and frustration fueling violence and conflict | ∙Increased social tension, disturbances and crimes | ∙Exacerbated existing inequalities and social tension and conflicts |