Guiding Theme and Research Profile
Tasks of the IWH Guided by its mission statement , the IWH places the understanding of the determinants of long term growth processes at the centre of the research agenda. Long…
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Organisation of Research
Tasks of the IWH Guided by its mission statement , the IWH places the understanding of the determinants of long term growth processes at the centre of the research agenda. Long…
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East Germany
The Nasty Gap 30 years after unification: Why East Germany is still 20% poorer than the West Dossier In a nutshell The East German economic convergence process is hardly…
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Ludwig (Interview)
About the CIA and a glass of red wine ... Professor Dr Udo Ludwig on the beginnings of our institute The core of the IWH founding team came from the Institute for Applied Economic…
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Heimpold (Interview)
What South Korea has to do with the IWH ... Gerhard Heimpold about his experiences at IWH Mr Heimpold, if you were to describe your job to your neighbour, what would you tell her?…
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Loose (Interview)
When there were almost no flats in Halle yet ... Brigitte Loose about IWH's foundation and development Ms Loose, how did you experience the early days of IWH? Looking back, it was…
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Stadtfrust und Landlust? Über regionale Präferenzen von hochqualifizierten Individuen
Matthias Brachert, Sabrina Jeworrek
Wirtschaft im Wandel,
No. 2,
2023
Abstract
Die Verfügbarkeit von qualifizierten Arbeitskräften ist eine zentrale Voraussetzung für den Erfolg eines Unternehmens. Eine städtische Lohnprämie zieht Beschäftigte an und verstärkt den Urbanisierungstrend. In unserer Studie untersuchen wir, ob nicht nur die Lohnprämie, sondern auch der Unternehmensstandort selbst die Attraktivität eines Arbeitsplatzes beeinflusst. Mittels eines experimentellen Untersuchungsdesigns zeigen wir, dass hochqualifizierte Arbeitnehmer unabhängig vom gezahlten Lohn eine Präferenz für städtische Standorte haben, selbst wenn ländliche Standorte attraktive regionale Eigenschaften aufweisen. Der beobachtete Effekt ist allerdings getrieben von Personen, die in städtischen Gebieten aufgewachsen sind. Personen, die in ländlichen Gebieten aufgewachsen sind, zeigen dagegen keine regionalen Präferenzen, weder für noch gegen städtische Gebiete.
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The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments
Erik Brynjolfsson, Catherine Buffington, Nathan Goldschlag, J. Frank Li, Javier Miranda, Robert Seamans
American Economic Association Papers and Proceedings,
May
2023
Abstract
We use establishment-level data from the US Census Bureau's Annual Survey of Manufactures to study the characteristics and geographic locations of investments in robots. We find that the distribution of robots is highly skewed across locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presences of robot integrators, which specialize in helping manufacturers install robots, and of higher levels of union membership are positively correlated with being a Robot Hub.
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The Characteristics and Geographic Distribution of Robot Hubs in U.S. Manufacturing Establishments
Erik Brynjolfsson, Catherine Buffington, Nathan Goldschlag, J. Frank Li, Javier Miranda, Robert Seamans
Abstract
We use data from the Annual Survey of Manufactures to study the characteristics and geography of investments in robots across U.S. manufacturing establishments. We find that robotics adoption and robot intensity (the number of robots per employee) is much more strongly related to establishment size than age. We find that establishments that report having robotics have higher capital expenditures, including higher information technology (IT) capital expenditures. Also, establishments are more likely to have robotics if other establishments in the same Core-Based Statistical Area (CBSA) and industry also report having robotics. The distribution of robots is highly skewed across establishments’ locations. Some locations, which we call Robot Hubs, have far more robots than one would expect even after accounting for industry and manufacturing employment. We characterize these Robot Hubs along several industry, demographic, and institutional dimensions. The presence of robot integrators and higher levels of union membership are positively correlated with being a Robot Hub.
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