No place like home? Relocation, capabilities, and firm survival in the German machine tool industry after World War II

Buenstorf, Guido; Guenther, Christina

doi:10.1093/icc/dtq055

Cited by 56 publications

(25 citation statements)

References 41 publications

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“…However, our results remained stable and Saxony ranked low once more. Drawing on Rentfrow et al's (2008) earlier results concerning the effects of migration on personalities in the U.S., a closer look at the literature on out-migration from Saxony brought up an interesting idea: Many entrepreneurs had left the state after World War II in order to escape the new socialist system and to re-establish their businesses in the Western part of Germany (Buenstorf & Guenther, 2011;Falck, Guenther, Heblich, & Kerr, 2011). There was another wave of out-migration of entrepreneurially minded persons due to economic reasons towards the more prosperous West after the fall of the Berlin Wall.…”

Section: Resultsmentioning

confidence: 99%

The Regional Distribution and Correlates of an Entrepreneurship-Prone Personality Profile in the United States, Germany, and the United Kingdom: A Socioecological Perspective

Obschonka¹,

Schmitt-Rodermund²,

Silbereisen³

et al. 2013

SSRN Journal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in SOEPpapers on Multidisciplinary Panel Data Research at DIW BerlinThis series presents research findings based either directly on data from the German SocioEconomic Panel Study (SOEP) or using SOEP data as part of an internationally comparable data set (e.g. CNEF, ECHP, LIS, LWS, CHER/PACO). SOEP is a truly multidisciplinary household panel study covering a wide range of social and behavioral sciences: economics, sociology, psychology, survey methodology, econometrics and applied statistics, educational science, political science, public health, behavioral genetics, demography, geography, and sport science.The decision to publish a submission in SOEPpapers is made by a board of editors chosen by the DIW Berlin to represent the wide range of disciplines covered by SOEP. There is no external referee process and papers are either accepted or rejected without revision. Papers appear in this series as works in progress and may also appear elsewhere. They often represent preliminary studies and are circulated to encourage discussion. Citation of such a paper should account for its provisional character. A revised version may be requested from the author directly.Any opinions expressed in this series are those of the author(s) and not those of DIW Berlin.Research disseminated by DIW Berlin may include views on public policy issues, but the institute itself takes no institutional policy positions.The SOEPpapers are available at

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Section: Resultsmentioning

confidence: 99%

The Regional Distribution and Correlates of an Entrepreneurship-Prone Personality Profile in the United States, Germany, and the United Kingdom: A Socioecological Perspective

Obschonka¹,

Schmitt-Rodermund²,

Silbereisen³

et al. 2013

SSRN Journal

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“…Prior research in the industrial lifecycle literature infer that network ties, which act as transmitters of knowledge, are more efficient within industrial clusters (Carias and Klepper 2010;Klepper 2010;Boschma and Wenting 2007;Buenstorf and Guenther 2011;Wenting 2008). However, there have been few studies that explicitly identify and measure these networks.…”

Section: Introductionmentioning

confidence: 99%

Small worlds, inheritance networks and industrial clusters

Bagley

2018

Industry and Innovation

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The performance of firms within industrial clusters has been the subject of a multitude of studies. The organizational attributes inherited by spinoffs from parent firms is one explanation behind performance premiums. This paper examines the relationship between a spinoff's network and its geographic location in an industrial cluster. We hypothesize that there is a negative relationship between a spinoff's network efficiency and its distance from the cluster's centroid. Although recent literature infers that the transmission of knowledge in industrial clusters is accomplished via inherited network ties, this has not been directly measured. This paper aims to fill that research gap. We find that, after controlling for firm size, parent size and age, there is indeed a statistically significant and negative relationship between network efficiency and geographic distance to a cluster's core.

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“…A conspicuous absence of positive externalities in clusters has also been noted in the metal‐working (Appold, ), footwear (Sorenson and Audia, ), knitwear (Staber, ), biotechnology (Stuart and Sorenson, ), and machine tool (Buenstorf and Guenther, ) industries.…”

mentioning

confidence: 83%

Spinoffs and clustering

Golman

Klepper²

2016

The RAND J of Economics

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Geographic clustering of innovative industries is associated with the entry and success of spinoff firms. We develop a model to explain the multiple empirical patterns regarding cluster growth and spinoff formation and performance, without relying on agglomeration externalities. Clustering naturally follows from spinoffs locating near their parents. In our model, firms grow and spinoffs form through the discovery of new submarkets based on innovation. Rapid and successful innovation creates more opportunities for spinoff entry and drives a region's growth. Our model provides baseline estimates of levels of agglomeration that can be attributed to this process of innovation and spinoff formation.

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No place like home? Relocation, capabilities, and firm survival in the German machine tool industry after World War II

Cited by 56 publications

References 41 publications

The Regional Distribution and Correlates of an Entrepreneurship-Prone Personality Profile in the United States, Germany, and the United Kingdom: A Socioecological Perspective

The Regional Distribution and Correlates of an Entrepreneurship-Prone Personality Profile in the United States, Germany, and the United Kingdom: A Socioecological Perspective

Small worlds, inheritance networks and industrial clusters

Spinoffs and clustering

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