Abstract
Estimating International Technology Spillovers Using Technology Flow Matrices. — This paper investigates the impact of international R & D spillovers on sectoral growth patterns in OECD countries. It applies panel regression techniques to a time-series cross-section panel. It arrives at the conclusion that knowledge spillovers are an important contributor to economic growth. The estimation results are applied in the form of a ‘simulation’ of TFP growth per country, splitting (R & D-related) TFP into a component due to domestic R & D and one due to foreign R & D. The results also show that the United States and Germany are the most influential countries in terms of contributions to other countries’ TFP growth.
Zusammenfassung
Die Schätzung internationaler Technologie-Spillover mit Hilfe von Technologiefluß-Matrizen. — Der Verfasser untersucht die Auswirkung internationaler Spillover von Forschung und Entwicklung (R & D) auf die sektoralen Wachstumsmuster in OECD-Ländern. Er wendet Panel-Regressionstechniken auf ein Zeitreihen-Querschnitts-Panel an. Dabei kommt er zu dem Schluß, daß die Spillover von Kenntnissen wesentlich zum wirtschaftlichen Wachstum beitragen. Die Schätzer-gebnisse werden in Form einer “Simulation” des Wachstums der totalen Faktorproduktivität (TFP) pro Land angewandt, wobei die (R & D-relevante) TFP aufgespalten wird in eine Komponente, die durch heimische Forschung und Entwicklung (R & D) verursacht worden ist, und eine, die auf ausländischer R & D basiert. Die Ergebnisse zeigen, daß die Vereinigten Staaten und Deutschland die einflußreichsten Länder sind im Hinblick auf den Beitrag zum Wachstum der TFP anderer Länder.
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