ABSTRACT
Purpose: This study aims to evaluate the efficiency of the Indian state's health care systems in increasing the recovery rate of the Corona virus by using data envelopment analysis. Methodology: The Data envelopment analysis (Output Oriented CRS Model) has been applied to evaluate the efficiency scores of Indian states concerning the recovery rate of people affected by COVID -19. The tobit regression model is used to find the efficiency drivers. The required corona data has been collected during the period of time Feb 2019 - May 2020 from the government official websites like Worldometer, MoHFW, Corona Tracker etc,. Finding(s): The efficient states were found along with the factor that increases the state's efficiency in increasing the recovery rate. The study reveals that out of 36 State/UT, only 5 State/UT were efficient in increasing the recovery rate. In addition the study found that there is an input slack in the number of hospitals for inefficient states/UTs. Copyright © 2022 Authors. All rights reserved.
ABSTRACT
The survey focussed on export trade of meat and meat products during COVID-19 lockdown which revealed export-oriented meat processing plants did not function during the lockdown period (April and May 2020) due to restricted working hours, unavailability of labours and food animals and birds for slaughter. About 90 % meat importing market was affected and this disrupted meat trade. The attitude of buyers was adversely affected towards the purchase of meat. This in turn decreased export of different types of meat especially beef, carabeef, mutton, chevon and chicken. Therefore, there was a change of nearly 20 to 40 % of overall export quantity and value of meat.