Plant-based Bioeconomy in Central Germany – A Mapping of Actors, Industries and Places
Wilfried Ehrenfeld, Frieder Kropfhäußer
Technology Analysis and Strategic Management,
No. 5,
2017
Abstract
The bioeconomy links industrial and agricultural research and production and is expected to provide growth, particularly in rural areas. However, it is still unclear which companies, research institutes and universities make up the bioeconomy. This makes it difficult to evaluate the policy measures that support the bioeconomy. The aim of this article is to provide an inventory of relevant actors in the three Central German states of Saxony, Saxony-Anhalt and Thuringia. First we take an in-depth look at the different sectors, outline the industries involved, note the location and age of the enterprises and examine the distribution of important European industrial activity classification (NACE) codes. Our results underline the fact that established industry classifications are insufficient in identifying the plant-based bioeconomy population. We also question the overly optimistic statements regarding growth potentials in rural areas and employment potentials in general.
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International Banking and Cross-border Effects of Regulation: Lessons from Germany
Jana Ohls, Markus Pramor, Lena Tonzer
Abstract
We analyze the inward and outward transmission of regulatory changes through German banks’ (international) loan portfolio. Overall, our results provide evidence for international spillovers of prudential instruments, these spillovers are however quite heterogeneous between types of banks and can only be observed for some instruments. For instance, foreign banks located in Germany reduce their loan growth to the German economy in response to a tightening of sector-specific capital buffers, local reserve requirements and loan to value ratios in their home country. Furthermore, from the point of view of foreign countries, tightening reserve requirements was effective in reducing lending inflows from German banks. Finally, we find that business and financial cycles matter for lending decisions.
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The Operational Consequences of Private Equity Buyouts: Evidence From the Restaurant Industry
Shai B. Bernstein, Albert Sheen
Review of Financial Studies,
No. 9,
2016
Abstract
How do private equity firms affect their portfolio companies? We document operational changes in restaurant chain buyouts using comprehensive health inspection records. Store-level operational practices improve after private equity buyout, as restaurants become cleaner, safer, and better maintained. Supporting a causal interpretation, this effect is stronger in chain-owned stores than in franchised locations—“twin” restaurants over which private equity owners have limited control. These changes are particularly apparent when private equity partners have prior industry experience. The results suggest that by bringing in industry expertise, private equity firms improve firm operations.
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On the Trail of Core–periphery Patterns in Innovation Networks: Measurements and New Empirical Findings from the German Laser Industry
Wilfried Ehrenfeld, Toralf Pusch, Muhamed Kudic
Annals of Regional Science,
No. 1,
2015
Abstract
It has been frequently argued that a firm’s location in the core of an industry’s innovation network improves its ability to access information and absorb technological knowledge. The literature has still widely neglected the role of peripheral network positions for innovation processes. In addition to this, little is known about the determinants affecting a peripheral actors’ ability to reach the core. To shed some light on these issues, we have employed a unique longitudinal dataset encompassing the entire population of German laser source manufacturers (LSMs) and laser-related public research organizations (PROs) over a period of more than two decades. The aim of our paper is threefold. First, we analyze the emergence of core–periphery (CP) patterns in the German laser industry. Then, we explore the paths on which LSMs and PROs move from isolated positions toward the core. Finally, we employ non-parametric event history techniques to analyze the extent to which organizational and geographical determinates affect the propensity and timing of network core entries. Our results indicate the emergence and solidification of CP patterns at the overall network level. We also found that the paths on which organizations traverse through the network are characterized by high levels of heterogeneity and volatility. The transition from peripheral to core positions is impacted by organizational characteristics, while an organization’s geographical location does not play a significant role.
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Isolation and Innovation – Two Contradictory Concepts? Explorative Findings from the German Laser Industry
Wilfried Ehrenfeld, T. Pusch, Muhamed Kudic
IWH Discussion Papers,
No. 1,
2015
Abstract
We apply a network perspective and study the emergence of core-periphery (CP) structures in innovation networks to shed some light on the relationship between isolation and innovation. It has been frequently argued that a firm’s location in a densely interconnected network area improves its ability to access information and absorb technological knowledge. This, in turn, enables a firm to generate new products and services at a higher rate compared to less integrated competitors. However, the importance of peripheral positions for innovation processes is still a widely neglected issue in literature. Isolation may provide unique conditions that induce innovations which otherwise may never have been invented. Such innovations have the potential to lay the ground for a firm’s pathway towards the network core, where the industry’s established technological knowledge is assumed to be located.
The aim of our paper is twofold. Firstly, we propose a new CP indicator and apply it to analyze the emergence of CP patterns in the German laser industry. We employ publicly funded Research and Development (R&D) cooperation project data over a period of more than two decades. Secondly, we explore the paths on which firms move from isolated positions towards the core (and vice versa). Our exploratory results open up a number of new research questions at the intersection between geography, economics and network research.
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Plant-based Bioeconomy in Central Germany - Mapping of Actors, Industries and Places
Wilfried Ehrenfeld, Frieder Kropfhäußer
Abstract
The challenges facing the 21st century, presented by a growing global population, range from food security to sustainable energy supplies to the diminishing availability of fossil raw materials. An attempt to solve these problems is made by using the concept of bioeconomy. Plants, in particular, possess an important function in this context - they can be used either as a source of food or, in the form of biomass, for industrial or energy purposes. Linking industrial and agricultural research and production, bioeconomy provides growth potential, in particular in rural areas.
The aim of this article is therefore to outline the status of plant-based bioeconomy
in three states of Central Germany - Saxony, Saxony-Anhalt and Thuringia - and to compare this to German plant-based bioeconomy. We take an in-depth look at the different sectors and outline the industries involved, the location and age of the enterprises as well as the distribution of important NACE codes. In conclusion, we highlight the significant number of new or small enterprises and the high research and innovation rate of Central Germany. We also stress the future potential of Central German plant-based bioeconomy as well as the importance of a more plant-focusedview of the technology sector.
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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,
No. 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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Network Formation: R&D Cooperation Propensity and Timing Among German Laser Source Manufacturers
Muhamed Kudic, Andreas Pyka, Marco Sunder
IWH Discussion Papers,
No. 9,
2013
Abstract
Empirical evidence on the evolution of innovation networks within high-tech industries is still scant. We investigate network formation processes by analyzing the timing of firms to enter R&D cooperations, using data on laser source manufacturers in Germany, 1990-2010. Network measures are constructed from a unique industry database that allows us to track both the formation and the termination of ties. Regression results reveal that a firm's knowledge endowment (and cooperation experience) shortens the duration to first (and consecutive) cooperation events. The previous occupation of strategic network positions is closely related to the establishment of further R&D cooperations at a swift pace. Geographic co-location produces mixed results in our analysis.
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Geoadditive Models for Regional Count Data: An Application to Industrial Location
Davide Castellani
ERSA conference papers,
2012
Abstract
We propose a geoadditive negative binomial model (Geo-NB-GAM) for regional count data which allows us to simultaneously address some important methodological issues, such as spatial clustering, nonlinearities and overdispersion. We apply this model to study location determinants of inward greenfield investments occurred over the 2003-2007 period in 249 European regions. The inclusion of a geoadditive component (a smooth spatial trend surface) permits us to control for spatial unobserved heterogeneity which induces spatial clustering. Allowing for nonlinearities reveals, in line with theoretical predictions, that the positive effect of agglomeration economies fades as the density of economic activities reaches some limit value. However, no matter how dense the economic activity becomes, our results suggest that congestion costs would never overcome positive agglomeration externalities.
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Natural-resource or Market-seeking FDI in Russia? An Empirical Study of Locational Factors Affecting the Regional Distribution of FDI Entries
K. Gonchar, Philipp Marek
HSE Working Papers, Series: Economics, WP BRP 26/EC/2013,
2013
Abstract
This paper analyzes the spatial distribution of foreign direct investment (FDI) across regions in Russia. Our analysis employs data on Russian firms with a foreign investor during the 2000-2009 period and links regional statistics in the conditional logit model. The main findings are threefold. First, we conclude that market-related factors and the availability of natural resources are important factors in attracting FDI. Second, existing agglomeration economies encourage foreign investors. Third, the findings imply that service-oriented FDI co-locates with extraction industries in resource-endowed regions.
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