Proximity and the Transfer of Academic Knowledge: Evidence from the Spatial Pattern of Industry Collaborations of East German Professors
Viktor Slavtchev
Regional Studies,
No. 5,
2013
Abstract
Proximity and the transfer of academic knowledge: evidence from the spatial pattern of industry collaborations of East German professors, Regional Studies. Universities can stimulate local economic development, particularly due to collaboration with local industry. Against this background, this study analyses when these interactions are local. Previous research suggests that university–industry linkages are mainly local because of tacit knowledge and the importance of physical proximity. This study provides additional evidence that the spatial pattern of university–industry linkages is a result of a complex matching process of appropriate partners. The results indicate that actors' individual and relational characteristics, institutional factors, and the particular type of knowledge play a role in collaboration. Hence, university–industry collaborations might not be local.
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Cooperation Events, Ego-Network Characteristics and Firm Innovativeness – Empirical Evidence from the German Laser Industry
Muhamed Kudic, Katja Guhr
IWH Discussion Papers,
No. 6,
2013
Abstract
We study how firm innovativeness is related to individual cooperation events and the structure and dynamics of firms’ ego-networks employing a unique panel dataset for the full population of 233 German laser source manufactures between 1990 and 2010. Firm innovativeness is measured by yearly patent applications as well as patent grants with a two year time-lag. Network measures are calculated on the basis of 570 knowledge-related publicly funded R&D alliances. Estimation results from a panel data count model with fixed effects are suggestive of direct innovation effects due to individual cooperation events, but only as long as structural ego-network characteristics are neglected. Innovativeness is robustly related to ego-network size and ego-network brokerage whereas ego-network density reveals some surprising results.
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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Journal of International Money and Finance,
No. 35,
2013
Abstract
The signals approach as an early-warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it cannot distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful results; (2) that composite indicators aggregating information contained in individual indicators add value to the signals approach; and (3) that indicators which are found to be significant in-sample usually perform similarly well out-of-sample.
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Regional Entrepreneurial Opportunities in the Biotech Industry: Exploring the Transition from Award-winning Nascent Entrepreneurs to Real Start-ups
Claus Michelsen, H. Wolf, Michael Schwartz
European Planning Studies,
2013
Abstract
Knowledge of factors that determine the transition from nascent entrepreneurship into real entrepreneurship is of major importance for policies aiming to effectively stimulate start-ups. Whereas scholars concentrated on person-specific factors to explain transition probabilities, environmental characteristics have been fairly neglected. Given that entrepreneurship is a strongly localized phenomenon, this paper argues that regional entrepreneurial opportunities are a driving force behind the transition from nascent entrepreneurship to new venture creation. Based on unique data on 103 nascent entrepreneurs in the German biotechnology industry, we empirically assess the importance of regional entrepreneurial opportunities on transition probabilities. Further, we introduce a new approach to measure nascent entrepreneurship by capturing individuals that actively participate in start-up competitions and have won at least one competition. Controlling for technology and individual characteristics, we find strong support for our hypotheses relating to the significant impact of general regional opportunities, specific regional opportunities and the entrepreneurial environment for the probability of transition from award-winning nascent entrepreneurs to real start-ups.
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Women Move Differently: Job Separations and Gender
Boris Hirsch, Claus Schnabel
Journal of Labor Research,
No. 4,
2012
Abstract
Using a large German linked employer–employee data set and methods of competing risks analysis, this paper investigates gender differences in job separation rates to employment and nonemployment. In line with descriptive evidence, we find lower job-to-job and higher job-to-nonemployment transition probabilities for women than men when controlling for individual and workplace characteristics and unobserved plant heterogeneity. These differences vanish once we allow these characteristics to affect separations differently by gender. When additionally controlling for wages, we find that both separation rates are considerably lower and also significantly less wage-elastic for women than for men, suggesting an interplay of gender differences in transition behaviour and the gender pay gap.
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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach
Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Abstract
The signals approach as an early warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it does not distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful and statistically significant results and (2) that composite
indicators aggregating information contained in individual indicators add value to the signals approach, even where most individual indicators are not statistically significant on their own.
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Regional Entrepreneurial Opportunities in the Biotech Industry: Exploring the Transition from Award-winning Nascent Entrepreneurs to Real Start-ups
H. Wolf, Claus Michelsen, Michael Schwartz
Abstract
Knowledge of factors that determine the transition from nascent entrepreneurship into real entrepreneurship is of major importance for policies aiming to effectively stimulate start-ups. Whereas scholars concentrated on person-specific factors to explain transition probabilities, environmental characteristics have been fairly neglected. Given that entrepreneurship is a strongly localized phenomenon, this paper argues that regional entrepreneurial opportunities are a driving force behind the transition from nascent entrepreneurship to new venture creation. Based on unique data on 103 nascent entrepreneurs in the German biotechnology industry, we empirically assess the importance of regional entrepreneurial opportunities on transition probabilities. Further, we introduce a new
approach to measure nascent entrepreneurship by capturing individuals that actively participate in start-up competitions and have won at least one competition. Controlling for technology and individual characteristics, we find strong support for our hypotheses relating to the significant impact of general regional opportunities, specific regional opportunities and the entrepreneurial environment for the probability of transition from award-winning nascent entrepreneurs to real start-ups.
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Informal Social Networks and Spatial Mobility
Peter Bönisch, Lutz Schneider
Post-Communist Economies,
2010
Abstract
Individuals’ preferences in transition regions are still shaped by the former communist system. We test this ‘communist legacy’ hypothesis by examining the impact of acculturation in a communist regime on social network participation and, as a consequence, on preferences for spatial mobility. We focus on the paradigmatic case of Eastern Germany, where mobility intentions seem to be substantially weaker than in the Western part. Applying an IV ordered probit approach we first find that Eastern people acculturated in a communist system are more invested in locally bounded informal social capital than Western people. Second, we confirm that membership in such locally bounded social networks reduces the intention to move away. Third, after controlling for the social network effect the mobility gap between East and West is substantially reduced. Low spatial mobility of the Eastern population, we conclude, is to an important extent attributable to a social capital endowment characteristic of post-communist economies
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Why are East Germans not More Mobile? Analyzing the Impact of Social Ties on Regional Migration
Peter Bönisch, Lutz Schneider
Abstract
Individuals’ preferences in transition regions are still shaped by the former communist system. We test this ‘Communism legacy’ hypothesis by examining the impact of acculturation in a communist regime on social network participation and, as a consequence, on preferences for spatial mobility. We focus on the paradigmatic case of East Germany where mobility intentions seem to be substantially weaker than in the western part. Applying an IV ordered probit approach we firstly find that East German people acculturated in a Communist system are more invested in locally bounded informal social capital than West Germans. Secondly, we confirm that membership in such locally bounded social networks reduces the intention to move away. Thirdly, after controlling for the social network effect the mobility gap between East and West substantially reduces. Low spatial mobility of the eastern population, we conclude, is to an important part attributable to a social capital endowment characteristic to post-communist economies.
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Concerning the development of the debt level of the New Länder since the German unification
Sabine Freye
Wirtschaft im Wandel,
20 Jahre Deutsche Einheit - Teil 2 -
2010
Abstract
During the 1990s, public indebtedness rose remarkably in all German political subdivisions. This development was particularly strong in the New Länder. At the beginning of the 1990s, they had low indebtedness rates. Today, 20 years later, the debt level of some New Länder lies over the average value of all Federal states. The background of this development is complex and depends also on the individual situation of each state. Generally, the rise of the debt level of the New Länder can be attributed to the 1990s’ estimation of a fast adjustment of the New Länder’s economic and financial power to that of the old Federal states. From today's point of view, this estimation was too optimistic. Furthermore, the New Länder have been affected differently by the transformation-conditioned structural change and the therefore arising difficulties with the necessary adjustment to the market.
In Saxony-Anhalt, which is characterised by the highest debt level of the New Länder, the collapse of the basic industry has led to high regional unemployment and to a substantial migration of the population. Still Saxony-Anhalt has countrywide the largest negative migration balance.
Regardless of these state-specific characteristics of the transformation process, there is a gradual change in the attitude towards existing debts and their handling, starting around the year 2000. So, the interest in budget consolidation increases constantly. This development was supported by the economic boom of the years 2006 and 2007. At present, the economic crisis puts the consolidation efforts of the states to the test.
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