Detailed Information on Publication Record
2014
An Explanation of the Inverted-U Relationship between Profitability and Innovation
KRČÁL, OndřejBasic information
Original name
An Explanation of the Inverted-U Relationship between Profitability and Innovation
Authors
KRČÁL, Ondřej (203 Czech Republic, guarantor, belonging to the institution)
Edition
1. vyd. Brno, 160 pp. 2014
Publisher
Masaryk University
Other information
Language
English
Type of outcome
Odborná kniha
Field of Study
50200 5.2 Economics and Business
Country of publisher
Czech Republic
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
RIV identification code
RIV/00216224:14560/14:00077997
Organization unit
Faculty of Economics and Administration
ISBN
978-80-210-7423-1
Keywords (in Czech)
inovace; konkurence; ekonomická efektivnost; modelování; simulace; predikční modely; monografie
Keywords in English
innovations; competition; economic efficiency; modeling; simulation; predictive models; monograph
Tags
Tags
International impact, Reviewed
Změněno: 20/3/2015 10:25, doc. Ing. Ondřej Krčál, Ph.D.
Abstract
V originále
In this book I introduce two models of innovation that explain the inverted-U relationship between profitability and innovation, and the findings of Aghion et al. (2005) and Hashmi (2005) related to the relationship between profitability and the dispersion of productivity in the industry. The basic model provides a simple and general explanation of the empirical findings. In the basic model firms choose R&D expenditures that maximize their expected profits under the assumption that R and D expenditures of firms might be constrained by the size of their profits. The prospect-theory model provides a more specific explanation of the empirical findings, which includes a behavioral model of managerial decision-making. Managers in the model choose R and D expenditures according to the preferences represented by the prospect-theory value function. For specific sets of parameter values, both models generate predictions that correspond to the empirical findings of Aghion et al. (2005) and Hashmi (2005). Finally, I show that both models generate realistic predictions for a wider range of parameter combinations around the specific parameter values.
Links
MUNI/A/0781/2013, interní kód MU |
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