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Business Ethics and Leadership
Article . 2022 . Peer-reviewed
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Business Ethics and Leadership
Article . 2022
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Excess COVID-19 Infections, Mortality, and Economic Development in India

Authors: Monika Mathur; Achintya Ray;

Excess COVID-19 Infections, Mortality, and Economic Development in India

Abstract

The main purpose of the research is to estimate the extent of excess Covid-19 cases and mortalities in India and examine its relationship with the degree of economic progress in various parts of the country especially given the uneven nature of the impact of the pandemic throughout the nation. The main hypotheses of the study were: 1) in areas with a high level of income per capita, the death rate per 100,000 population will be lower; 2) areas with a high level of income per capita tend to be more urbanized, economically active, and therefore quite densely populated, which increases the probability of morbidity and mortality. The object of research is over 20 million Covid-19 cases and over 370,000 deaths in 31 States and Union Territories (UTs) in India beginning in the first months of the pandemic and going through the middle of 2021. The methodological tools of the conducted research were the methods of regression analysis. The study of a relative measure of success in pandemic management (less than one-half of the median death rate as the relative threshold for measuring success) empirically confirms and theoretically proves that India had at least 16.6 million excess Covid-19 cases and over 228,000 excess COVID-19 deaths as of June 18, 2021. The paper presents the results of an empirical analysis of the relationship between excess deaths of the population from Covid-19 and state-level per-capita income (as an explanatory variable), which testified that about 60% of actual and excess deaths can be explained by the per-capita income alone. According to the results of the analysis, it was proved that actual and excess deaths are both higher in richer states. Poorer states did considerably well in keeping Covid-19 mortality low compared to their more affluent counterparts. The positive relationship between Covid-19 mortality and per-capita income does not go away even after controlling for the caseloads used as a proxy for the spread of the pandemic. This augmented model explains about 80% of the actual and excess deaths from the Covid-19 pandemic in India. After controlling for caseloads, a thousand Rupees increase in per-capita income contributed to about 15 additional deaths per 100,000 population. The article presents the results of an empirical analysis of the relationship between economic development (as measured by the per-capita income) and excess mortality from COVID-19, which proved a positive relationship between them and proved a potentially adverse impact of economic progress on human immunity, especially if population density, living conditions, and food security moderate that relationship.

Keywords

330, HF5001-6182, Индия, cases of Covid-19, india, India, regional disparities, випадки Covid-19, economic development, excess mortality, економічний розвиток, Індія, случаи Covid-19, региональные диспропорции, избыточная смертность, регіональні диспропорції, Business, covid-19 cases, экономическое развитие, надмірна смертність

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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