The outburst of COVID-19 has not only distressed the economic and social activities of Indian economy but also the world economy as a whole. Out of different economic activities, the micro, small and medium Enterprises (MSMEs) affected a lot. This article attempts to measure the contribution of MSMEs towards Indian economy and also attempts to find out the challenges and problems in pre- and during COVID period. We have used different descriptive statistics to measure the impacts of MSMEs and also use of correlation and co-integration to measure the relationship among the variables such as number of MSMEs, investment amount, employment and output. This pandemic is an exceptional shock for MSMEs. It is evident that there is a high degree of significant positive correlation among the variables. Johansen’s co-integration analysis resulted in the rejection of the null hypothesis signifying the existence of long-run co-integrating relationship. Given the extensive COVID-19 chaos, the government needs to establish an ongoing monitoring system and declare urgent relief steps to improve the MSMEs sector’s confidence. E-market linkage for MSMEs should be promoted, and fiscal stimulus should increase for this sector. The Government of India should take various measures to improve Indian MSMEs and achieve the vision of Self-reliant India.
Migration is a bigger option for earning and livelihood in Odisha either for push factors or pull factors, for which people move to other states in search of work and better wages. But COVID-19 emerged as a crippling blow for which huge reverse migration is being noticed in the state. So the study tried to investigate labour supply and employment opportunity in rural areas due to COVID-19-led reverse migration and to examine the impact of COVID-19 on employment status, income profile and livelihood of returned migrants in Odisha. The study also discusses the possible measures to create alternative livelihood by rebuilding the rural economy after COVID-19. Both secondary and primary data are used in the study. Descriptive statistics and regression model are used in the study to examine the vulnerability of migrants during the period of COVID-19. The study found a sudden rise in labour supply with a huge scale is catch sight of the rural economy of Odisha. Job loss is the biggest problem faced by migrants followed by income loss. The study found that income of migrants, household income excluding migrants and nature of work have significant impact on the vulnerability of migrants. JEL Classification Codes: J21, J22, J46
The returns from crop cultivation are essential not only for the survival of farmers but also to facilitate reinvestment in agriculture. An attempt has been made to evaluate profitability in paddy production with respect to crop rotation. Primary data from 455 farmers through a multistage purposive sampling technique were used in the study. Descriptive statistics and independent sample t-test were used in the study. The study found that profitability in paddy production varies at moderate level with respect to crop rotation. In total farmers were getting anet profit of 5324 rupees per acre. But per acre profit of paddy varies significantly considering point of product sold by farmers and share cropping characteristics of the farmer. On average farmer selling paddy at mandi were getting 11388 rupees of profit per acre while farmer selling at local markets were getting per acre 3103 rupees of profit.
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