Innovation Sources and Productivity: A Quantile Regression Analysis

Agustí Segarra-Blasco ()
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Agustí Segarra-Blasco: Grup de Recerca en Indústria i Territori(GRIT), Departament d'Economia, Universitat Rovira i Virgili.

No XREAP2007-08, Working Papers from Xarxa de Referència en Economia Aplicada (XREAP)

Abstract: This paper explores the effects of two main sources of innovation —intramural and external R&D— on the productivity level in a sample of 3,267 Catalan firms. The data set used is based on the official innovation survey of Catalonia which was a part of the Spanish sample of CIS4, covering the years 2002-2004. We compare empirical results by applying usual OLS and quantile regression techniques both in manufacturing and services industries. In quantile regression, results suggest different patterns at both innovation sources as we move across conditional quantiles. The elasticity of intramural R&D activities on productivity decreased when we move up the high productivity levels both in manufacturing and services sectors, while the effects of external R&D rise in high-technology industries but are more ambiguous in low-technology and services industries.

Keywords: Innovation sources; R&D; Productivity; Quantile Regression (search for similar items in EconPapers)
JEL-codes: C10 O14 O30 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2007-10, Revised 2007-10
New Economics Papers: this item is included in nep-eff, nep-ino, nep-ipr, nep-pr~ and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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http://www.xreap.cat/RePEc/xrp/pdf/XREAP2007-08.pdf First version, 2007 (application/pdf)
http://www.xreap.cat/RePEc/xrp/pdf/XREAP2007-08.pdf Revised version, 2007 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:xrp:wpaper:xreap2007-08

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