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Michal Grajek

Researcher at European School of Management and Technology

Publications -  43
Citations -  1158

Michal Grajek is an academic researcher from European School of Management and Technology. The author has contributed to research in topics: Trade barrier & Investment (macroeconomics). The author has an hindex of 16, co-authored 42 publications receiving 1048 citations.

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The Impact of ISO 9000 Diffusion on Trade and FDI: A New Institutional Analysis

TL;DR: In this paper, the authors employ panel data reported by OECD nations over the 1995-2002 period to estimate the impact of ISO adoptions on country-pair economic relations, and find ISO diffusion to have no effect in developed nations, but to positively pull FDI and positively push trade in developing nations.
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Regulation and Investment in Network Industries: Evidence from European Telecoms

TL;DR: In this paper, the authors provide evidence of an inherent trade-off between access regulation and investment incentives in telecommunications by using a comprehensive data set covering 70 fixed-line operators in 20 countries over 10 years.
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Regulation and investment in network industries: Evidence from European telecoms

TL;DR: In this paper, the authors provide evidence of an inherent trade-off between access regulation and investment incentives in telecommunications by using a comprehensive data set covering more than 70 fixed-line operators in 20 countries over 10 years.
Journal ArticleDOI

The impact of ISO 9000 diffusion on trade and FDI : a new institutional analysis

TL;DR: In this paper, the authors employ panel data reported by OECD nations over the 1995-2002 period to estimate the impact of ISO adoptions on country-pair economic relations, and find ISO diffusion to have no effect in developed nations, but to positively pull FDI and positively push trade in developing nations.
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Usage and diffusion of cellular telephony, 1998–2004

TL;DR: In this paper, the authors study the dynamics of usage intensity of second-generation cellular telephony over the diffusion curve and find that heterogeneity among adopters dominates network effects and that different technological generations are complements in terms of usage, but substitutes in terms subscription.