Understanding the spanish business innovation gap: the role of spillovers and firms’ absorptive capacity
AbstractThis paper investigates whether the existence of knowledge spillovers, differences in the capacity of f rms to assimilate them and disparities in some human resource management practices are related with the decision to innovate of Spanish f rms. In order to do this, we employ data from the “Central de Balances” database, which covers both manufacturing and services f rms during the period 2003-2007, and use an estimator proposed by Wooldridge (2005) for dynamic random effects discrete choice models. The empirical exercise provides evidence on the positive link between spillovers and the innovative behaviour of companies, not just for the knowledge generated in the same industry, but also for that generated in the same region or by the public sector. Moreover, this link is stronger for those f rms with a higher capacity to absorb those spillovers. This ability not only works through f rms’ R&D capabilities, but also through such factors as the quality of the labour force, the share of temporary employment and the amount of resources spent in training. In addition to these factors, we f nd that innovation performance exhibits a high degree of inertia. Further, some other observed f rm characteristics, such as size, sales growth, export behaviour, sector capital intensity or f nancial structure variables, are also found to be relevant determinants of the likelihood of innovation.
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Bibliographic InfoPaper provided by Banco de Espa�a in its series Banco de Espa�a Working Papers with number 1015.
Length: 48 pages
Date of creation: Jun 2010
Date of revision:
innovation; R&D; spillovers; absorptive capacity; skilled labour; temporary employment; dynamic RE probit model;
Find related papers by JEL classification:
- O32 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Management of Technological Innovation and R&D
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
- J6 - Labor and Demographic Economics - - Mobility, Unemployment, and Vacancies
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- L00 - Industrial Organization - - General - - - General
This paper has been announced in the following NEP Reports:
- NEP-ALL-2010-07-10 (All new papers)
- NEP-CSE-2010-07-10 (Economics of Strategic Management)
- NEP-INO-2010-07-10 (Innovation)
- NEP-SBM-2010-07-10 (Small Business Management)
- NEP-TID-2010-07-10 (Technology & Industrial Dynamics)
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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