Identifying Cooperation for Innovation – A Comparison of Data Sources
IWH Discussion Papers,
The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidised collaborative Research and Development projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The key role of universities that connect many regional actors is identified in all three types of data.
18.12.2018 • 22/2018
IWH leads large scale EU research project on productivity
Is productivity growth slowing in industrialised countries? And if so, why? From the start of 2019, the Halle Institute for Economic Research (IWH) will be addressing these questions as the coordinator of a new EU project. Economists and statistics experts from nine European partners will collaborate on the three-year project, entitled MICROPROD. With a total budget of just under three million euros, it is the IWH’s largest EU project to date.
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Innovation Cooperation in East and West Germany: A Study on the Regional and Technological Impact
International Journal of Computational Economics and Econometrics,
In this paper, we investigate the impact of regional and technological innovation systems on innovation cooperation. We develop an indicator applicable to regions, which demonstrates the relative regional impact on innovation cooperation. Applying this method to German patent data, we find that regional differences in the degree of innovation cooperation do not only depend on the technology structure of a region but also on specific regional effects. High-tech oriented regions, whether east or west, are not automatically highly cooperative regions. East German regions have experienced a dynamic development of innovation cooperation since re-unification in 1990. Their cooperation intensity remains higher than in West German regions.
Weak Foreign Demand – Economic Downturn in Germany In the summer of 2019, uncertainty due to ongoing trade disputes...
Four Research Clusters ...
IWH FDI Micro Database
IWH FDI Micro Database The IWH FDI Micro Database (FDI = Foreign Direct...
The Importance of Localized Related Variety for International Diversification of Corporate Technology
Internationalization of research and development has increased substantially in recent years. This paper analyses the determinants of spatial distribution of foreign technological activities across 96 regions in Germany. It identifies foreign technological activities by applying the cross-border ownership concept to patent applications. The main proposition is that regions with higher related variety of technological activities between sectors attract more foreign technological activities. The estimations show that this is the case in regions characterized by a high overall technological strength. This suggests that related variety facilitates technological diversifications of foreign corporations in regions at the top of the geographic hierarchy.
RLPC: Record Linkage Pre-Cleaning – Technical Documentation of Routines
IWH Technical Reports,
The primary objective of record linkage is the merger of different data sets on the basis of an unique identifier. The cases at hand are mostly company data sets from databanks with company characteristics (e.g. BvD Amadeus/Dafne), patent data sets (e.g. Patstat or DPMA) and funding data sets (e.g. BMBF funding catalog). These data sets shall be merged on the basis of the company names. Due to the fact that company names have varying notations in different databases - for example the corporate structure – a harmonization and standardization is necessary.
The routines described here implement the record linkage pre-cleaning (RLPC). They are used to create record linkage compatible names (RLName) from given (actor) names (Name). This includes converting special characters to ASCII characters, identifying corporate structures, isolating and separating bracketed expressions. The result is an expression which allows for a comparison with other names. Following this pre-cleaning, record linkage systems can be used to merge several data sets that have been pretreated in the same way.
RegDemo: Preparation and Merger of Actor Data – Technical Documentation of Routines and Datasets
IWH Technical Reports,
Primary objective of the presented routines is the mapping of cooperative relations of companies, universities, non-university research facilities and other institutions on three levels of innovation activity (joint projects; publications, patents). This includes a) the standardization and merging of the three innovation-related databases (funding catalog (“Förderkatalog”); Web of Knowledge; DPMA patents) and b) linking this combined data pool with the data from the institution data sets Amadeus and Research Explorer by means of record linkage procedures. For this project the merger comprises the six regions considered in the RegDemo project. Spatial planning regions (“Raumordnungsregionen”) are used for delimitation: 501 - Aachen; 513 - Siegen; 602 - Nordhessen (= “Kassel”); 1302 – Mittleres Mecklenburg/Rostock (= “Rostock”); 1401 - Oberes Elbtal/Osterzgebirge (= “Dresden”); 1504 - Magdeburg.