Productivity effects of basic research in low-tech and high-tech industries

被引:154
作者
Czarnitzki, Dirk [1 ,2 ,3 ]
Thorwarth, Susanne [1 ,3 ,4 ]
机构
[1] Katholieke Univ Leuven, Dept Managerial Econ Strategy & Innovat, B-3000 Louvain, Belgium
[2] Katholieke Univ Leuven, Ctr R&D Monitoring, B-3000 Louvain, Belgium
[3] Ctr European Econ Res ZEW, Mannheim, Germany
[4] Monopolies Commiss, D-53123 Bonn, Germany
关键词
Basic research; R&D; Production function estimation; RESEARCH-AND-DEVELOPMENT; FIRM LEVEL; PANEL-DATA; SEMICONDUCTOR; SPECIFICATION; SPILLOVERS; INVESTMENT; INNOVATION; INCREASE; RETURNS;
D O I
10.1016/j.respol.2012.04.009
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
R&D encompasses plenty of activities which are usually summarized under the terms of basic research, applied research and development. Although basic research is often associated with low appropriability it provides the fundamental basis for subsequent applied research and development. Especially in the high-tech sector basic research capabilities are an essential component for a firm's success. We use firm-level panel data stemming from Belgian R&D surveys and apply a production function approach which shows that basic research exhibits a premium on a firm's output when compared to applied research and development. When we split the sample into high-tech and low-tech companies, we find a large premium of basic research for firms in high-tech industries, but no premium in low-tech sectors. (C) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:1555 / 1564
页数:10
相关论文
共 54 条
[1]  
Andries P., 2009, VLAAMS INDICATORENBO, P53
[2]  
[Anonymous], 1962, RATE DIRECTION INVEN, DOI DOI 10.1521/IJGP.2006.56.2.191
[3]  
[Anonymous], 2001, Econometric Analysis of Cross Section and Panel Data
[4]  
[Anonymous], 1993, PROPOSED STANDARD PR
[5]   SOME TESTS OF SPECIFICATION FOR PANEL DATA - MONTE-CARLO EVIDENCE AND AN APPLICATION TO EMPLOYMENT EQUATIONS [J].
ARELLANO, M ;
BOND, S .
REVIEW OF ECONOMIC STUDIES, 1991, 58 (02) :277-297
[6]   The effects of R&D, foreign technology purchase, and domestic and international spillovers on productivity in Indian firms [J].
Basant, R ;
Fikkert, B .
REVIEW OF ECONOMICS AND STATISTICS, 1996, 78 (02) :187-199
[7]   DYNAMIC COUNT DATA MODELS OF TECHNOLOGICAL INNOVATION [J].
BLUNDELL, R ;
GRIFFITH, R ;
VANREENEN, J .
ECONOMIC JOURNAL, 1995, 105 (429) :333-344
[8]   Initial conditions and moment restrictions in dynamic panel data models [J].
Blundell, R ;
Bond, S .
JOURNAL OF ECONOMETRICS, 1998, 87 (01) :115-143
[9]   Individual effects and dynamics in count data models [J].
Blundell, R ;
Griffith, R ;
Windmeijer, F .
JOURNAL OF ECONOMETRICS, 2002, 108 (01) :113-131
[10]   Endogenizing know-how flows through the nature of R&D investments [J].
Cassiman, B ;
Pérez-Castrillo, D ;
Veugelers, R .
INTERNATIONAL JOURNAL OF INDUSTRIAL ORGANIZATION, 2002, 20 (06) :775-799