Towards Quantifiable Metrics Warranting Industry-Wide Corporate Death Penalties

Joshua Pearce

Social Sciences, 2019, vol. 8, issue 2, 1-13

Abstract: In the singular search for profits, some corporations inadvertently kill humans. If this routinely occurs throughout an industry, it may no longer serve a net positive social purpose for society and should be eliminated. This article provides a path to an objective quantifiable metric for determining when an entire industry warrants the corporate death penalty. First, a theoretical foundation is developed with minimum assumptions necessary to provide evidence for corporate public purposes. This is formed into an objective quantifiable metric with publicly-available data and applied to two case studies in the U.S.: the tobacco and coal mining industries. The results show the American tobacco industry kills 4 times more people per year than it employs, and the American coal-mining industry kills more than one American every year for every coal miner employed. The results clearly warrant industry-wide corporate death penalties for both industries in America. Future work is discussed to ensure industries only exist to benefit humanity in all the societies in which they operate.

Keywords: pollution; environmental externalities; emissions; ethics in organizations; corporate corruption; corporate death penalty; corporate misconduct; public management (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2076-0760/8/2/62/pdf (application/pdf)
https://www.mdpi.com/2076-0760/8/2/62/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jscscx:v:8:y:2019:i:2:p:62-:d:207008

Access Statistics for this article

Social Sciences is currently edited by Ms. Yvonne Chu

More articles in Social Sciences from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().