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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

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

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    50202 - Applied Economics, Econometrics

Result continuities

  • Project

  • 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

  • e-ISSN

  • 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