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Agriculture, along with its related sectors, which employs about 58 percent of India's workforce, accounted for a sizable 18.8% of the country's Gross Value Added (GVA) in 2021-22, with a growth rate of 3.6 percent in 2020-21, indicating that COVID-19 didn't have as much of an impact on this sector as it did on the manufacturing sector. In 2021-22, the industry is predicted to grow by 3.9 percent. The key drivers of overall development in the industry have been linked industries such as livestock, dairying, and fisheries. In this research paper, we will look at the performance of the agriculture sector in terms of output and its percentage of total GVA in the pre-covid and post-covid periods of the Indian economy. We used ANOVA single factor to look at crop output and descriptive statistics to look at the contribution of agriculture and associated industries in an economy's overall GVA and t-statistics to know the number of workers by gender in an agriculture sector.
Keywords:
agriculture, allied sector, COVID-19, pre-covid and covid periods, agricultural production, employment, total GVA, ANOVA Single Factor, Descriptive statistics, T-Statistics.
Cite Article:
"Statistical Analysis of Agricultural Sector in an Indian Economy", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 1, page no.269 - 278, January-2023, Available :http://www.ijrti.org/papers/IJRTI2301043.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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