Internal and external factors in innovation persistence

被引:86
作者
Antonelli, Cristiano [1 ,2 ]
Crespi, Francesco [2 ,3 ]
Scellato, Giuseppe [2 ,4 ]
机构
[1] Univ Torino, Dipartimento Econ, Turin, Italy
[2] Coll Carlo Alberto, BRICK, Turin, Italy
[3] Univ Roma Tre, Dipartimento Econ, Rome, Italy
[4] Politecn Torino, Dipartimento Ingn Gestionale & Prod, Turin, Italy
关键词
knowledge cumulability; knowledge externalities; innovation; persistence; sequential Markov chains; path dependence; TFP;
D O I
10.1080/10438599.2012.708135
中图分类号
F [经济];
学科分类号
02 ;
摘要
This paper contributes to the analysis of the persistence of innovation activities, as measured by total factor productivity (TFP), and explores its internal and external determinants stressing its path-dependent characteristics. The external conditions, namely the quality of local knowledge pools and the strength of the Schumpeterian rivalry, along with the internal conditions (the actual levels of dynamic capabilities, as proxied by wage levels and firm size) exert a specific and localised effect upon the persistent introduction of innovations. A multiple transition probability matrixes (MTPMs) approach has been implemented to capture the contingent effects of external factors on long-term innovation persistence. The empirical analysis of the dynamics of firm-level TFP for a sample of approximately 7000 Italian manufacturing companies observed during the years 1996-2005 is based on both the comparison of different transition probability matrixes and on dynamic discrete choice panel data models. The evidence provided by the test of MTPMs in sub-periods suggests that innovation persistence is path-dependent, as opposed to past-dependent.
引用
收藏
页码:256 / 280
页数:25
相关论文
共 59 条
[1]   Patents and innovation counts as measures of regional production of new knowledge [J].
Acs, ZJ ;
Anselin, L ;
Varga, A .
RESEARCH POLICY, 2002, 31 (07) :1069-1085
[2]   Competition and innovation: An inverted-U relationship [J].
Aghion, P ;
Bloom, N ;
Blundell, R ;
Griffith, R ;
Howitt, P .
QUARTERLY JOURNAL OF ECONOMICS, 2005, 120 (02) :701-728
[3]  
Alfranca O., 2002, AGRIBUSINESS, V18, P349, DOI DOI 10.1002/AGR.10021
[4]  
Antonelli Cristiano, 2012, Structural Change and Economic Dynamics, V23, P341, DOI 10.1016/j.strueco.2012.03.002
[5]  
Antonelli C., 2008, LOCALIZED TECHNOLOGI
[6]   Out-of-equilibrium profit and innovation [J].
Antonelli, Cristiano ;
Scellato, Giuseppe .
ECONOMICS OF INNOVATION AND NEW TECHNOLOGY, 2011, 20 (05) :405-421
[7]  
Antonelli C, 2011, HANDBOOK ON THE ECONOMIC COMPLEXITY OF TECHNOLOGICAL CHANGE, P3
[8]  
Arrow K.J., 1974, LIMITS ORG
[9]   A comparison of clustering dynamics in the US and UK computer industries [J].
Baptista, R ;
Swann, GMP .
JOURNAL OF EVOLUTIONARY ECONOMICS, 1999, 9 (03) :373-399
[10]   Do firms in clusters innovate more? [J].
Baptista, R ;
Swann, P .
RESEARCH POLICY, 1998, 27 (05) :525-540