Interstate Disparity in Combating COVID-19 in India: Efficiency Estimate Across States (Record no. 134299)
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000 -LEADER | |
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fixed length control field | 02018nam a2200205Ia 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 241008s9999||||xx |||||||||||||| ||und|| |
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER | |
International Standard Serial Number | 0972-0634 |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Maity, Shrabanti |
9 (RLIN) | 122552 |
245 #0 - TITLE STATEMENT | |
Title | Interstate Disparity in Combating COVID-19 in India: Efficiency Estimate Across States |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Name of publisher, distributor, etc. | Journal of Health Management |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Date of publication, distribution, etc. | 2024 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 504-515 |
520 ## - SUMMARY, ETC. | |
Abstract | Currently, COVID-19 is the most lethal menace in the world. Due to its health and economic consequences, it becomes a serious challenge for the economy. The present article aims to explore India's interstate disparities of efficiency in combating COVID-19 based on secondary data. Besides, an attempt has been made to pinpoint the factors responsible for the inefficiency of resisting this deadly virus. The interstate efficiency measurement is facilitated by applying stochastic production frontier analysis. The empirical result divulges that among the Indian states, Bihar is the most efficient in combating COVID-19. The empirical estimation of the frontier model discloses that the number of doctors, nurses, police force, isolation beds and hotspots positively and significantly influence the recovery rate from COVID-19 in Indian states. The empirical results of the inefficiency effects model suggest that the share of elderly and urbanisation reversely influence the efficiency in combating the virus, while favourable sex ratio, literacy rate, regular salaried employment, digitalisation and ruralisation stimulate the efficiency of the concerned state. The study concludes that efficient utilisation, coupled with the advancement of the existing health infrastructure, is imperative for the acceleration of the recovery rate from this pandemic. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Health and Economic Consequences |
9 (RLIN) | 122553 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Health Infrastructure |
9 (RLIN) | 122554 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | Novel Coronavirus |
9 (RLIN) | 122555 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name entry element | COVID-19 |
9 (RLIN) | 118594 |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Sinha, Anup |
9 (RLIN) | 122556 |
856 ## - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://doi.org/10.1177/09720634241244428">https://doi.org/10.1177/09720634241244428</a> |
999 ## - SYSTEM CONTROL NUMBERS (KOHA) | |
Koha biblionumber | 134299 |
Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Serial Enumeration / chronology | Total Checkouts | Barcode | Date last seen | Price effective from | Koha item type |
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Dr VKRV Rao Library | Dr VKRV Rao Library | 08/10/2024 | Vol. 26, No. 3 | AI583 | 08/10/2024 | 08/10/2024 | Article Index |