Transmitting Fiscal Covid-19 Counterstrikes Effectively: Mind the Banks!
Reint E. Gropp, Michael Koetter, William McShane
IWH Online,
Nr. 2,
2020
Abstract
The German government launched an unprecedented range of support programmes to mitigate the economic fallout from the Covid-19 pandemic for employees, self-employed, and firms. Fiscal transfers and guarantees amount to approximately €1.2 billion by now and are supplemented by similarly impressive measures taken at the European level. We argue in this note that the pandemic poses, however, also important challenges to financial stability in general and bank resilience in particular. A stable banking system is, in turn, crucial to ensure that support measures are transmitted to the real economy and that credit markets function seamlessly. Our analysis shows that banks are exposed rather differently to deteriorated business outlooks due to marked differences in their lending specialisation to different economic sectors. Moreover, a number of the banks that were hit hardest by bleak growth prospects of their borrowers were already relatively thinly capitalised at the outset of the pandemic. This coincidence can impair the ability and willingness of selected banks to continue lending to their mostly small and medium sized entrepreneurial customers. Therefore, ensuring financial stability is an important pre-requisite to also ensure the effectiveness of fiscal support measures. We estimate that contracting business prospects during the first quarter of 2020 could lead to an additional volume of non-performing loans (NPL) among the 40 most stressed banks ‒ mostly small, regional relationship lenders ‒ on the order of around €200 million. Given an initial stock of NPL of €650 million, this estimate thus suggests a potential level of NPL at year-end of €1.45 billion for this fairly small group of banks already. We further show that 17 regional banking markets are particularly exposed to an undesirable coincidence of starkly deteriorating borrower prospects and weakly capitalised local banks. Since these regions are home to around 6.8% of total employment in Germany, we argue that ensuring financial stability in the form of healthy bank balance sheets should be an important element of the policy strategy to contain the adverse real economic effects of the pandemic.
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Determinants of Foreign Technological Activity in German Regions – A Count Model Analysis of Transnational Patents
Eva Dettmann, Iciar Dominguez Lacasa, Jutta Günther, Björn Jindra
Foresight-Russia,
Nr. 1,
2014
Abstract
Most research on R&D internationalisation focuses on comparative analysis of location factors at the national level of analysis. Very little work, however, has taken place in this field for the sub-national regional location behavior of multi-national enterprises (MNE). The paper contributes to the existing research by providing evidence on the determinants of foreign technological activities at the sub-national level for Germany, which hosts the largest share of foreign R&D within the EU27 and features the highest cross-regional dispersion of patented research. Using a pooled count data model, we estimate the effect of various sources for externalities on the extent of foreign technological activity across regions. Particular attention is paid to the role of local knowledge spillovers, technological specialization and diversification. We differentiate foreign and domestic sources of specialisation and account for region and sector-specific influences. This is the first time that the ‘cross-border-ownership’ principle to measure R&D internationalisation is combined with regionalised patent information.
To verify our findings we develop hypotheses. In particular, we expect and find that foreign technological activity is attracted by technologically specialised sectors of regions. In contrast to current empirical work, this effect applies both to foreign as well as domestic sources of specialization, although effects on foreign specialization seem more significant. We expect and find the same for science-industry spillovers. We postulate a negative impact of domestic specialization on foreign technological activities and a strong positive effect from diversificationspillovers, by comparison with specialisation spillovers, but these hypotheses are rejected. We find that the direction of the specialisation effect depends on dominance in the position of domestic firms as well as on the balance of knowledge flows between them and foreign actors.
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Determinants of Foreign Technological Activity in German Regions – A Count Model Analysis of Transnational Patents (1996-2009)
Eva Dettmann, Iciar Dominguez Lacasa, Jutta Günther, Björn Jindra
Abstract
This paper analyses the determinants of spatial distribution of foreign technological activity across 96 German regions (1996-2009). We identify foreign inventive activity by applying the ‘cross-border-ownership concept’ to transnational patent applications. The descriptive analysis shows that foreign technological activity more than doubled during the observation period with persistent spatial heterogeneity in Germany. Using a pooled count data model, we estimate the effect of various sources for externalities on the extent of foreign technological activity across regions. Our results show that foreign technological activity is attracted by technologically specialised sectors of regions. In contrast to existing findings this effect applies both to foreign as well as domestic sources of specialisation. We show that the relation between specialisation and foreign technological activity is non-linear and that it is influenced by sectoral heterogeneity. Externalities related to technological diversification attract foreign R&D only into ‘higher order’ regions.
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The Relationship between Knowledge Intensity and Market Concentration in European Industries: An inverted U-Shape
Niels Krap, Johannes Stephan
IWH Discussion Papers,
Nr. 3,
2008
Abstract
This paper is motivated by the European Union strategy to secure competitiveness for Europe in the globalising world by focussing on technological supremacy (the Lisbon - agenda). Parallel to that, the EU Commission is trying to take a more economic approach to competition policy in general and anti-trust policy in particular. Our analysis tries to establish the relationship between increasing knowledge intensity and the resulting market concentration: if the European Union economy is gradually shifting to a pattern of sectoral specialisation that features a bias on knowledge intensive sectors, then this may well have some influence on market concentration and competition policy would have to adjust not to counterfeit the Lisbon-agenda. Following a review of the available theoretical and empirical literature on the relationship between knowledge intensity and market structure, we use a larger Eurostat database to test the shape of this relationship. Assuming a causality that runs from knowledge to concentration, we show that the relationship between knowledge intensity and market structures is in fact different for knowledge intensive industries and we establish a non-linear, inverted U-curve shape.
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Evolving Structural Patterns in the Enlarging European Division of Labour: Sectoral and Branch Specialisation and the Potentials for Closing the Productivity Gap
Johannes Stephan
IWH-Sonderhefte,
Nr. 5,
2003
Abstract
This report summarises the results generated in empirical analysis within a larger EU 5th FP RTD-project on the determinants of productivity gaps between the current EU-15 and accession states in Central East Europe. The focus of research in this part of the project is on sectoral specialisation patterns emerging as a result of intensifying integration between the current EU and a selection of six newly acceding economies, namely Estonia, Poland, the Czech and Slovak Republics, Hungary and Slovenia. The research-leading question is concerned with the role played by the respective specialisation patterns for (i) the explanation of observed productivity gaps and for (ii) the projection of future potentials of productivity growth in Central East Europe.
For the aggregated level, analysis determines the share of national productivity gaps accountable to acceding countries’ particular sectoral patterns, and their role for aggregate productivity growth: in Poland, the Slovak Republic and Hungary, sectoral shares of national productivity gaps are considerable and might evolve into a ‘barrier’ to productivity catch-up.Moreover, past productivity growth was dominated by a downward adjustment in employment rather than structural change. With the industrial sector of manufacturing having been identified as the main source of national productivity gaps and growth, the subsequent analysis focuses on the role of industrial specialisation patterns and develops an empirical model to project future productivity growth potentials. Each chapter closes with some policy conclusions.
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