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Titel
Optimal R&D investment with learning-by-doing : multiple steady-states and thresholds / Alfred Greiner, Anton Bondarev
Weitere Titel
Optimal research and development investment with learning-by-doing
VerfasserGreiner, Alfred ; Bondarev, Anton
ErschienenBielefeld, Germany : Universität Bielefeld, Faculty of Business Administration and Economics, September 2014
Ausgabe
Elektronische Ressource
Umfang1 Online-Ressource (15 Seiten) : Diagramme
SerieWorking papers in economics and management ; No. 13-2014
SchlagwörterUnternehmen / Innovation / Forschung und Entwicklung / Qualitätssteigerung / Technologie
URNurn:nbn:de:hbz:6:2-128003 
DOI10.4119/unibi/2915528 
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Optimal R&D investment with learning-by-doing [0.17 mb]
Zusammenfassung

In this paper we present an inter-temporal optimization problem of a representative R&D firm that simultaneously invests in horizontal and vertical innovations. We posit that learning-by-doing makes the process of quality improvements a positive function of the number of existing technologies with the function displaying a convex-concave form. We show that multiple steady-states can arise with two being saddle point stable and one unstable with complex conjugate eigenvalues. Thus, a threshold with respect to the variety of technologies exists that separates the two basins of attractions. From an economic point of view, this implies that a lock-in effect can occur such that it is optimal for the firm to produce only few technologies at a low quality when the initial number of technologies falls short of the threshold. Hence, history matters as concerns the state of development implying that past investments and innovations determine whether the firm produces a large or a small variety of high- or low-quality technologies, respectively.

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