Impact of COVID-19 on Agriculture and Allied Sectors Article Swipe
Anshumali Anshumali
,
Sharad Sharma
,
Mittu Katoch
,
Pawan Pathania
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.47856/ijaast.2021.v08i7.004
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.47856/ijaast.2021.v08i7.004
Impact of Corona virus outbreak on mankind is serious. Apart from health issues and social life stand still, global economy has been affected drastically. Many sectors have been hit by this pandemic and agriculture and allied sectors are no exception. Issues such as shortage of labour, restricted access to markets have been tremendously affected this sector. Many of its frailties were exposed during the course but the resilient cultivation sector surfaced with some promising results after a good monsoon and aggressive response demonstrated by the government to support the sector. Government excluded several farming activities such as farm operations, agribusiness, dairy, poultry and fishery from lockdown limitations after the lockdown extended in May, 2020. Pandemic also presented a great opportunity to think over and evaluate the hidden potential of respective sectors. Solemn efforts are required for innovation and technical up gradation of agricultural operations to alleviate the impacts of the COVID-19 pandemic. As India struggles to uplift the distressed economy, government announced economic stimulus package worth INR 20, 00,000 crore under Atma Nirbhar Bharat Campaign. Long term impacts of this campaign are estimated to develop agriculture and allied sectors with major emphasis on quality products and increased exports of agriculture commodities.
Related Topics
Concepts
Crore
Agriculture
Government (linguistics)
Business
Pandemic
Economic sector
Agribusiness
Economic growth
Economic impact analysis
Agricultural economics
Coronavirus disease 2019 (COVID-19)
Economics
Economy
Geography
Poverty
Infectious disease (medical specialty)
Philosophy
Medicine
Pathology
Microeconomics
Archaeology
Linguistics
Disease
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.47856/ijaast.2021.v08i7.004
- OA Status
- diamond
- Cited By
- 7
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3185852360
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3185852360Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.47856/ijaast.2021.v08i7.004Digital Object Identifier
- Title
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Impact of COVID-19 on Agriculture and Allied SectorsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2021Year of publication
- Publication date
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2021-07-24Full publication date if available
- Authors
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Anshumali Anshumali, Sharad Sharma, Mittu Katoch, Pawan PathaniaList of authors in order
- Landing page
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https://doi.org/10.47856/ijaast.2021.v08i7.004Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://doi.org/10.47856/ijaast.2021.v08i7.004Direct OA link when available
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Crore, Agriculture, Government (linguistics), Business, Pandemic, Economic sector, Agribusiness, Economic growth, Economic impact analysis, Agricultural economics, Coronavirus disease 2019 (COVID-19), Economics, Economy, Geography, Poverty, Infectious disease (medical specialty), Philosophy, Medicine, Pathology, Microeconomics, Archaeology, Linguistics, DiseaseTop concepts (fields/topics) attached by OpenAlex
- Cited by
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7Total citation count in OpenAlex
- Citations by year (recent)
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2024: 1, 2022: 1, 2021: 5Per-year citation counts (last 5 years)
- References (count)
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3Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5109523818 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/2 |
| sustainable_development_goals[0].score | 0.6299999952316284 |
| sustainable_development_goals[0].display_name | Zero hunger |
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| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |