Indian Journal of Science and Technology
DOI: 10.17485/IJST/v16i38.1639
Year: 2023, Volume: 16, Issue: 38, Pages: 3218-3222
Original Article
Sorokhaibam Aguraj Singh1*, Elangblam Bijoykumar Singh2
1Research Scholar, Department of Economics, Manipur University, Canchipur, 795003, India
2Professor, Department of Economics, Manipur University, 795003, Canchipur, India
*Corresponding Author
Email: [email protected]
Received Date:03 July 2023, Accepted Date:05 September 2023, Published Date:13 October 2023
Objectives: To evaluate the relative technical efficiency of the health system of Northeastern states of India in their efforts to battle the COVID-19 pandemic. Methods: Data Envelopment Analysis (DEA) technique was employed. The outputs are the numbers of cured or discharged patients and people with second-dose vaccination. Public expenditure on medical and public health is the input. The constant return to scale (CRS) and variable returns to scale (VRS) are estimated with an output orientation. Findings: The results found that the mean technical efficiency score in the CRS model is 0.62 per cent and 0.72 per cent in VRS. In CRS model 25% of the states, namely Mizoram and Tripura with efficiency score of one are found to be most efficient whereas Mizoram, Assam, Sikkim and Tripura i.e., 50% are efficient under VRS model. In terms of scale efficiency, Mizoram and Tripura performed the best. For scale score, under decreasing return to scale (DRS), Assam with a score of 0.730 performed the worst and Sikkim is the only state that exhibits increasing returns to scale (IRS). Novelty/Applications: The use of the number of people vaccinated for the second time as an output is a novel feature of this study. It has been proved that vaccination plays a significant role in fighting disease. The findings demonstrate the relative effectiveness of states in combating COVID-19 utilising limited data. It helps in identifying the inefficient states and developing remedial measures for the least efficient states in time.
Keywords: COVID19, Efficiency, Data envelopment analysis, Vaccination, Northeast India
© 2023 Singh & Singh. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Published By Indian Society for Education and Environment (iSee)
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