The Corruption Footprints of Nations

Yanyan Xiao, Manfred Lenzen, Catherine Benoît†Norris, Gregory A. Norris, Joy Murray and Arunima Malik

Journal of Industrial Ecology, 2018, vol. 22, issue 1, 68-78

Abstract: In this study, we innovatively apply multiregional input†output analysis to calculate corruption footprints of nations and show the details of commodities that use the most employment affected by corruption (EAC), as they flow between countries. Every country's corruption footprint includes its domestic corruption and the corruption imported by global supply chains to meet final demand. Our results show that, generally, the net corruption exporters are developing countries, with the exception of Italy where corruption is likely to be more affected by political and cultural factors than economic factors. China is the largest gross corruption exporter, and India follows close behind, with clothing as one of the industries in which the most people are affected by corruption. This is because: (1) China and India are major clothing exporters, thus many workers are employed in the clothing industry within the country as well as in countries providing intermediate commodities by supply chains, and (2) corruption is high in China and India. Our results can be useful to identify where regulations to combat corruption can have the greatest impact. More important, the method we use can be applied to link corruption to other economic and social aspects of trade, such as working conditions, thus making it possible to find avenues for tackling the problem that are not usually considered in anticorruption strategies.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
https://doi.org/10.1111/jiec.12537

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:bla:inecol:v:22:y:2018:i:1:p:68-78

Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=1088-1980

Access Statistics for this article

Journal of Industrial Ecology is currently edited by Reid Lifset

More articles in Journal of Industrial Ecology from Yale University
Bibliographic data for series maintained by Wiley Content Delivery ().