Analysis of dynamic relationship between corruption and foreign direct investment
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25940082%3A_____%2F17%3AN0000020" target="_blank" >RIV/25940082:_____/17:N0000020 - isvavai.cz</a>
Alternative codes found
RIV/61384399:31120/17:00050719 RIV/68407700:21240/17:00314660
Result on the web
<a href="http://car.aauni.edu/wp-content/uploads/ANTIcorruptionfraud-Conference-Proceedings-2017-PUB.pdf" target="_blank" >http://car.aauni.edu/wp-content/uploads/ANTIcorruptionfraud-Conference-Proceedings-2017-PUB.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Analysis of dynamic relationship between corruption and foreign direct investment
Original language description
This text builds on our seminary work about the contra-intuitively weak relation between FDI and corruption. The mainstream economic thinking suggests improving transparency leads to increased FDI inflow. While the economic environment without corruption is certainly value per-se, we find that given the nature of multinational corporations and FDI, it does not necessarily translate to higher FDI. Multinational corporations depend on arbitrary political decisions of home as well as host governments to offset their extra costs from doing business in multiple socio-economic environments of various countries, thus somehow increased level of corruption might be an outcome of this relationship. Following our previous theoretical research as well as of others, mainly Dunning’s eclectic model and Vernon’s obsolescing bargain model this paper finds no significant dynamic relationship between corruption and foreign direct investment. We base our conclusions on the results of a parametric test consisting of two panel Granger causality tests within a dynamic panel model framework estimated with the help of Blundell-Bond (modified Arellano-Bond) estimator, applied to data from Transparency International, the World Bank, and the International Monetary Fund for 154 countries and the years 1980–2015.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50202 - Applied Economics, Econometrics
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
ANTIcorruption & fraud: DETECTION & MEASUREMENT: Prague, April 7, 2017, Anglo-American University: Proceedings of the international conference
ISBN
978-80-906585-2-3
ISSN
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e-ISSN
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Number of pages
25
Pages from-to
40-64
Publisher name
Anglo-americká vysoká škola, z.ú.
Place of publication
Praha
Event location
Praha
Event date
Apr 7, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000588194600002