Efficiency analysis in the management of COVID-19 pandemic in India based on data envelopment analysis

Mohanta, Kshitish Kumar; Sharanappa, Deena Sunil; Aggarwal, Abha

doi:10.1016/j.crbeha.2021.100063

Cited by 31 publications

(15 citation statements)

References 26 publications

(32 reference statements)

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“…Banker et al [5] built on the pioneering work of Charnes et al [3] and introduced the BCC model to evaluate relative efficiency which is assumed that variable returns to scale (VRS). The DEA technique has recently been successfully applied in a wide variety of cases, including industry [6], banking institutions [7], research and development organisations [8] , health care management [9], manufacturing [10], and supply chain management [13].…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency and Productivity Analysis of the Indian Agriculture Sector Based on the Malmquist-DEA Technique

Chaubey¹,

Sharanappa²,

Mohanta³

et al. 2022

ujar

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This article evaluated the agricultural performance of 31 states and union territories (UTs) in India from 2012 to 2017. The best agricultural productivity states and UTs in India were obtained using Malmquist based DEA technique and the efficiency score for each year was found using CCR model. The input parameter is taken as annual rainfall, total population, GDP, Workers, and net cultivated area, and the output parameter is taken as production of rice, wheat, coarse cereals, pulses, oil seeds, and sugarcane. The productivity of the states and UTs are compared, as well as the increase or decrease in productivity is calculated. Total productivity change was calculated using cumulative Malmquist index (CMI). As a results, Punjab, Rajasthan, Sikkim, and Uttar Pradesh are the most efficient states throughout the year, while Kerala and Goa are the least efficient. Maximum states and UTs advanced 61.25 % in 2015-16, whereas maximum states and UTs declined 62.52 % in 2012-13. The overall productivity change in Madhya Pradesh inceases perfectly while Nagaland's is almost decreasing. Other factors that may have an influence on state and UTs agriculture productivity include capital investment and fertiliser use. Additional social and environmental performance criteria, such as contribution to local community development and harmful emission measurement, can be integrated as output criteria for sustainability performance analysis.

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Section: Literature Reviewmentioning

confidence: 99%

Efficiency and Productivity Analysis of the Indian Agriculture Sector Based on the Malmquist-DEA Technique

Chaubey¹,

Sharanappa²,

Mohanta³

et al. 2022

ujar

Self Cite

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“…As stated earlier, the DEA has a unique ability to measure the efficiency of multiple-input and multipleoutput of DMUs without assigning prior weights to the input and output and it does not impose too many restrictive assumptions as parametric statistical inference (Ahmed, 2015;Asmare & Begashaw, 2018). To employ the DEA, the input parameters are taken as stock market capitalization, stock prices, new cases of Covid-19, total deaths of Covid-19, and stringency index while the output parameters are divided into good and bad categories (see Mohanta, Sharanappa & Aggarwal, 2021) such as the stock returns are taken as good output, and the stock market volatility is taken as bad outputs to obtain stock market efficiency during Covid-19 pandemic. The efficiency value of the DMUs measured by the DEA technique ranges from 0 and 1.…”

Section: Efficiency Of Stock Market In the Pre-covid-19 And During Co...mentioning

confidence: 99%

Impact Analysis of Pandemic on Nigeria’s Stock Market Performance

Akinbobola¹,

Awosoga²,

Babalola³

et al. 2022

RAE

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We empirically conducted a distinct analysis of the efficiency of the stock market before and during the Covid-19 pandemic in Nigeria as well as the impact of the Covid-19 pandemic on several indicators of stock market performance. Data were collected on stock variables on monthly basis for the pre-Covid-19 era (2018M02 to 2020M01) and Covid-19 pandemic era (2020M02 to 2022M01) from the Central Bank of Nigeria Statistical Bulletin, while data on the numbers of daily new confirmed cases (New cases and deaths) as well as the government response stringency index on COVID-19 pandemic were obtained from Our World in Data (OWID). We leveraged numerous advantages of the Data Envelopment Analysis (DEA) to estimate stock market efficiency before and during the Covid-19 pandemic for the purpose of comparison. Also, we employed the Autoregressive Distributed Lag Mixed Data Sampling (ADL-MIDAS) approach to conduct the impact analysis of the Covid-19 pandemic on stock market performance. We found that, in terms of efficiency, the stock market was more efficient during the Covid-19 pandemic than in the pre-Covid-19 era, being the only active market among other financial markets especially when several restrictions and total lockdown were imposed. In terms of returns and volatility, the study concluded that the Covid-19 pandemic did not significantly influence Nigeria’s stock market performance negatively. However, the government stringency measures had a significant positive impact on the stock market return in Nigeria. Our findings are instructive to policymaking and financial regulation.

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“…The novel coronavirus SARS-n, CoV-2 spread the COVID-19 disease quickly across six continents, prompting many nations around the world to declare a state of a health emergency. COVID-19 is one of the most significant peacetime issues that industry and government have faced in the previous century [1] . The COVID-19 epidemic has slowed many industries.…”

Section: Introductionmentioning

confidence: 99%

A recovery mathematical model for the impact of supply chain interruptions during the lockdown in COVID-19 using two warehouse perishable inventory policies

Das

Samanta

Barman

et al. 2022

Results in Control and Optimization

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Efficiency analysis in the management of COVID-19 pandemic in India based on data envelopment analysis

Cited by 31 publications

References 26 publications

Efficiency and Productivity Analysis of the Indian Agriculture Sector Based on the Malmquist-DEA Technique

Efficiency and Productivity Analysis of the Indian Agriculture Sector Based on the Malmquist-DEA Technique

Impact Analysis of Pandemic on Nigeria’s Stock Market Performance

A recovery mathematical model for the impact of supply chain interruptions during the lockdown in COVID-19 using two warehouse perishable inventory policies

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