How Does Industry Specialization Affect the Efficiency of Regional Innovation Systems?
Michael Fritsch, Viktor Slavtchev
Jena Economic Research Papers, Nr. 2008-058,
No. 58,
2008
Abstract
This study analyzes the relationship between the specialization of a region in certain industries and the efficiency of the region in generating new knowledge. The efficiency measure is constructed by relating regional R&D input and output. An inversely u-shaped relationship is found between regional specialization and R&D efficiency, indicating the presence of externalities of both Marshall and Jacobs’ type. Further factors influencing efficiency are spillovers within the private sector as well as from public research institutions. The impact of both the specialization and the additional factors is, however, different for regions at different efficiency levels.
Read article
Does Qualification Drive Innovation? A Microeconometric Analysis Using Linked-employer-employee Data
Bianca Brandenburg, Jutta Günther, Lutz Schneider
IWH Discussion Papers,
No. 10,
2007
Abstract
Degree-level science and engineering skills as well as management and leadership skills are often referred to as a source of innovative activities within companies. Broken down by sectoral innovation patterns, this article examines the role of formal education and actual occupation for product innovation performance in manufacturing firms within a probit model. It uses unique micro data for Germany (LIAB) that contain detailed information about innovative activities and the qualification of employees. We find significant differences of the human capital endowment between sectors differentiated according to the Pavitt classification. Sectors with a high share of highly skilled employees engage in product innovation above average (specialized suppliers and science based industries). According to our hitherto estimation results, within these sectors the share of highly skilled employees does not, however, substantially increase the probability to be an innovative firm.
Read article
Industry Specialization, Diversity and the Efficiency of Regional Innovation Systems
Michael Fritsch, Viktor Slavtchev
Jena Economic Research Papers, Nr. 2007-018,
No. 18,
2007
Abstract
Innovation processes are characterized by a pronounced division of labor between actors. Two types of externality may arise from such interactions. On the one hand, a close location of actors affiliated to the same industry may stimulate innovation (MAR externalities). On the other hand, new ideas may be born by the exchange of heterogeneous and complementary knowledge between actors, which belong to different industries (Jacobs’ externalities). We test the impact of both MAR as well as Jacobs’ externalities on innovative performance at the regional level. The results suggest an inverted u-shaped relationship between regional specialization in certain industries and innovative performance. Further key determinants of the regional innovative performance are private sector R&D and university-industry collaboration.
Read article
What Determines the Efficiency of Regional Innovation Systems?
Michael Fritsch, Viktor Slavtchev
Jena Economic Research Papers, Nr. 2007-006,
No. 6,
2007
Abstract
We assess the efficiency of regional innovation systems (RIS) in Germany by means of a knowledge production function. This function relates private sector research and development (R&D) activity in a region to the number of inventions that have been registered by residents of that region. Different measures and estimation approaches lead to rather similar assessments. We find that both spillovers within the private sector as well as from universities and other public research institutions have a positive effect on the efficiency of private sector R&D in the respective region. It is not the mere presence and size of public research institutions, but rather the intensity of interactions between private and public sector R&D that leads to high RIS efficiency. We find that relationship between the diversity of a regions’ industry structure and the efficiency of its innovation system is inversely u-shaped. Regions dominated by large establishments tend to be less efficient than regions with a lower average establishment size.
Read article
Alterung und technologisches Innovationspotential : Eine Linked-Employer-Employee-Analyse
Lutz Schneider
IWH Discussion Papers,
No. 2,
2007
Abstract
Growth in advanced economies is essentially driven by innovation activities. From a demographic point of view the question rises, whether the trend of an ageing workforce will affect the innovation capacities of these economies. To answer this question, the paper examines on the basis of a German linked-employer-employee-dataset, whether an older workforce lowers a firm’s potential to generate product innovations. The empirical approach is based on an Ordered-logit regression model, relating a firm’s innovation potential to the age composition of its employees. The analysis provides evidence of significant age effects. The estimated age-innovation-profile follows an inverted-ushaped pattern, it peaks at the age of about 40 years. A separate estimation shows, that the technician’s and engineer’s age seems to be particularly relevant.
Read article
A Game Theoretic Analysis of the Conditions of Knowledge Transfer by New Employees in Companies
Sidonia vonLedebur
IWH Discussion Papers,
No. 3,
2006
Abstract
The availability of knowledge is an essential factor for an economy in global competition. Companies realise innovations by creating and implementing new knowledge. Sources of innovative ideas are partners in the production network but also new employees coming from another company or academia. Based on a model by HECKATHORN (1996) the conditions of efficient knowledge transfer in a team are analysed. Offering knowledge to a colleague can not be controlled directly by the company due to information asymmetries. Thus the management has to provide incentives which motivate the employees to act in favour of the company by providing their knowledge to the rest of the team and likewise to learn from colleagues. The game theoretic analysis aims at investigating how to arrange these incentives efficiently. Several factors are relevant, especially the individual costs of participating in the transfer. These consist mainly of the existing absorptive capacity and the working atmosphere. The model is a 2x2 game but is at least partly generalised on more players. The relevance of the adequate team size is shown: more developers may increase the total profit of an innovation
(before paying the involved people) but when additional wages are paid to each person a greater team decreases the remaining company profit. A further result is
that depending on the cost structure perfect knowledge transfer is not always best for the profit of the company. These formal results are consistent with empirical studies to the absorptive capacity and the working atmosphere.
Read article
Universities and Innovation in Space
Michael Fritsch, Viktor Slavtchev
Freiberg Working Papers, Nr. 15-2006,
No. 15,
2006
Abstract
We investigate the role of universities as a knowledge source for regional innovation processes. The contribution of universities is tested on the level of German NUTS-3 regions (Kreise) by using a variety of indicators. We find that the intensity and quality of the research conducted by the universities have a significant effect on regional innovative output while pure size is unimportant. Therefore, a policy that wants to promote regional innovation processes by building up universities should place substantial emphasis on the intensity and quality of the research conducted there.
Read article
Measuring the Efficiency of Regional Innovation Systems – An Empirical Assessment
Michael Fritsch, Viktor Slavtchev
Freiberg Working Papers, Nr. 08-2006,
No. 8,
2006
Abstract
We measure the efficiency of regional innovation systems (RIS) in Germany by means of a knowledge production function. This function relates private sector Research and Development (R&D) in a region to the number of inventions that have been registered by residents of that region. Two approaches are followed. First, it is assumed that differences in the productivity of private sector R&D between regions affect the slope of the KPF, which represents the marginal productivity of R&D input. The second approach assesses regional differences within the framework of a stochastic frontier knowledge production function. This approach mainly reveals differences with regard to the intercept of the knowledge production function and, therefore, with regard to the average productivity. We compare the results of both approaches and discuss a number of critical issues such as the properties of the distribution of efficiencies, the appropriate size of RIS, and how to deal with the issue of spatial autocorrelation.
Read article
The Role of Regional Knowledge Sources for Innovation – An Empirical Assessment
Michael Fritsch, Viktor Slavtchev
Freiberg Working Papers, Nr. 15-2005,
No. 15,
2005
Abstract
We investigate the contribution of different inputs, particularly different knowledge sources, on regional patenting output in the framework of a knowledge production function. The knowledge sources included are R&D employment, size of public research institutions by field of research (budget), amount of university external research funds from private firms, public departments, German Science Foundation (DFG), and from other sources. The contribution of these knowledge sources is tested systematically on the level of German districts (Kreise) by including the respective information for the particular region and for adjacent regions. One main finding is that the quality of the university research makes some contribution to regional innovation while the mere size of the universities is unimportant. Differences in the effect on innovative output can be found according to academic disciplines and type of university.
Read article
Does East Germany need a new technology policy? – Implications from the functioning of the R&D market after the transformation
Ralf Müller
IWH Discussion Papers,
No. 145,
2001
Abstract
Technology policy is a major part of government's efforts in contributing to East Ger-many's economic recovery. However, even a decade after unification East Germany does not produce sufficient technology goods. Thus, the question is whether technology policy is either not suitable or inefficient in tackling East Germany's deficits. A special technology policy for East Germany is justified by the lack of regional networks for technology firms; without a compensating policy East Germany would continue to lag behind West Germany also with respect to incomes. Yet only a few of the policy in-struments applied so far are efficiently dealing with these deficits. Thus, a future technology policy for East Germany should – mainly by the supply of R&D-infrastructure – support implementation of these kinds of networks.
Read article
