The corruption footprints of nations
Yanyan Xiao
ISA, School of Physics A28, The University of Sydney
Yanyan Xiao is a doctoral candidate in the field of sustainability research. She worked as an environmental engineer in Chinese Academy of Sciences before PhD study.
Abstract
Corruption is a global and multidimensional problem caused by a combination of economic, political and social factors. The existing research shows that corruption levels in different countries are correlated, indicating that... [ view full abstract ]
Corruption is a global and multidimensional problem caused by a combination of economic, political and social factors. The existing research shows that corruption levels in different countries are correlated, indicating that corruption occurring in one country may have repercussions for corruption in other countries. Since corruption generally hampers international trade, we apply multi-regional input-output (MRIO) method to link corruption impacts to economic and social aspects of trade, in order to analyse the global links between the social problem corruption in one place and individual consumers’ behaviour elsewhere, thus making it possible to find avenues for tackling the problem that are not usually considered in anti-corruption strategies.
We calculate corruption footprints of 189 nations and show commodity details of corrupt sectors. Every country’s corruption footprint includes its domestic corruption and the corruption imported via global supply chains to meet final demand. Our results show that generally the net corruption exporters are developing countries, but Italy is an exception. China is the largest gross corruption exporter, and clothing is the most corruption-intensive commodity. Our results can be useful to community groups, NGOs and policy-makers for developing consumer guidelines, regulations and laws to combat corruption.
Authors
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Yanyan Xiao
(ISA, School of Physics A28, The University of Sydney)
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Manfred Lenzen
(ISA, School of Physics A28, The University of Sydney)
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Catherine Benoit
(Harvard School of Public Health, 677 Huntington Avenue, Boston)
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Gregory A. Norris
(Harvard School of Public Health, 677 Huntington Avenue, Boston)
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Joy Murray
(ISA, School of Physics A28, The University of Sydney)
Topic Areas
Calculating product and organizational social footprints , Evaluating and improving supply chain impacts on human health and human well-being
Session
OS-4C » Calculating product and organizational social footprints 3 (14:00 - Tuesday, 14th June, 1 Story street, Room 306)
Presentation Files
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