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On the Relationship between R&D and Productivity: a Treatment Effect Analysis Author info | Abstract | Publisher info | Download info | Related research | Statistics Giuseppe Medda (University of Cagliari)
Claudio Piga (University of Nottingham Business School)
Donald Siegel (Department of Economics, Rensselaer Polytechnic Institute, NY)
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This study uses firm level data from two detailed surveys of Italian manufacturing firms to study the relationship between R&D expenditures and productivity growth. The analysis considers the different contributions of various forms of R&D (product, process, internal, external in collaboration with universities, research centres and other firms) to Total Factor Productivity (TFP). Thus, this paper answers the call for more research on the links between a firm’s external R&D and its productivity. In the cross-section econometric analysis, we estimate a Treatment Effects model based on the assumption that the decision to carry out R&D is endogenous. We found evidence supporting such a methodological approach. The main restlts reveal a positive and statistically significant relationship between the detailed measures of R&D and TFP. It is noteworthy that among external R&D investments, only expenditures for projects run in collaboration with other firms turn out to be highly significant, while cooperation in R&D with universities does not seem to lead to productivity enhancements. Because of the public good nature of research, firms may resort to do R&D within laboratories run by universities only when the outcome of the research does not have important strategic consequences.
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Paper provided by Fondazione Eni Enrico Mattei in its series Working Papers with number
2003.34.
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Date of creation: Apr 2003Date of revision:
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Keywords: Total factor productivity ; selectivity ; manufacturing ; firm level ; Other versions of this item:
Find related papers by JEL classification: C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General D24 - Microeconomics - - Production and Organizations - - - Production; Capital and Total Factor Productivity; Capacity O30 - Economic Development, Technological Change, and Growth - - Technological Change - - - General
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Full
references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
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