B 2014

An Explanation of the Inverted-U Relationship between Profitability and Innovation

KRČÁL, Ondřej

Basic 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
Name: Regulace trhu dopravních služeb – modely, metody a aplikace (Acronym: ReDoS)
Investor: Masaryk University, Category A