Benchmark Value-added Chains and Regional Clusters in R&D-intensive Industries
Reinhold Kosfeld, Mirko Titze
International Regional Science Review,
No. 5,
2017
Abstract
Although the phase of euphoria seems to be over, policy makers and regional agencies have maintained their interest in cluster policy. Modern cluster theory provides reasons for positive external effects that may accrue from interaction in a group of proximate enterprises operating in common and related fields. Although there has been some progress in locating clusters, in most cases only limited knowledge on the geographical extent of regional clusters has been established. In the present article, we present a hybrid approach to cluster identification. Dominant buyer–supplier relationships are derived by qualitative input–output analysis from national input–output tables, and potential regional clusters are identified by spatial scanning. This procedure is employed to identify clusters of German research and development-intensive industries. A sensitivity analysis reveals good robustness properties of the hybrid approach with respect to variations in the quantitative cluster composition.
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Meaningless Work Threatens Job Performance
Adrian Chadi, Sabrina Jeworrek, Vanessa Mertins
LSE Business Review,
2017
Abstract
Open, transparent communication across the organisation is generally associated with improved employee motivation and organisational outcomes. For supervisors, the question arises how to deal with rather inconvenient information, such as in the case of a project failure. Informing employees after significant investments of time and effort might lead to negative effects on subsequent work motivation, one could argue. To identify a causal relationship between the meaning of previously completed work and workers’ subsequent work performance, we exploited a natural working environment in which the loss of the job’s meaning occurred as a matter of fact. At the same time, it was possible to credibly guide only part of the workforce to believe in the sudden loss of meaning by conducting a controlled experiment.
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When the Meaning of Work Has Disappeared: Experimental Evidence on Employees’ Performance and Emotions
Adrian Chadi, Sabrina Jeworrek, Vanessa Mertins
Management Science,
No. 6,
2017
Abstract
This experiment tests for a causal relationship between the meaning of work and employees’ motivation to perform well. The study builds on an existing employer–employee relationship, adding realism to the ongoing research of task meaning. Owing to an unexpected project cancelation, we are able to study how varying the information provided about the meaning of previously conducted work — without the use of deception, but still maintaining a high level of control — affects subsequent performance. We observe a strong decline in exerted effort when we inform workers about the meaninglessness of a job already done. Our data also suggests that providing a supplemental alternative meaning perfectly compensates for this negative performance effect. Individual characteristics such as reciprocal inclinations and trust prompt different reactions. The data also show that the meaning of work affects workers’ emotions, but we cannot establish a clear relationship between emotional responses and performance.
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Complex-task Biased Technological Change and the Labor Market
Colin Caines, Florian Hoffmann, Gueorgui Kambourov
Review of Economic Dynamics,
April
2017
Abstract
In this paper we study the relationship between task complexity and the occupational wage- and employment structure. Complex tasks are defined as those requiring higher-order skills, such as the ability to abstract, solve problems, make decisions, or communicate effectively. We measure the task complexity of an occupation by performing Principal Component Analysis on a broad set of occupational descriptors in the Occupational Information Network (O*NET) data. We establish four main empirical facts for the U.S. over the 1980–2005 time period that are robust to the inclusion of a detailed set of controls, subsamples, and levels of aggregation: (1) There is a positive relationship across occupations between task complexity and wages and wage growth; (2) Conditional on task complexity, routine-intensity of an occupation is not a significant predictor of wage growth and wage levels; (3) Labor has reallocated from less complex to more complex occupations over time; (4) Within groups of occupations with similar task complexity labor has reallocated to non-routine occupations over time. We then formulate a model of Complex-Task Biased Technological Change with heterogeneous skills and show analytically that it can rationalize these facts. We conclude that workers in non-routine occupations with low ability of solving complex tasks are not shielded from the labor market effects of automatization.
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Private Equity and Industry Performance
Shai B. Bernstein, Josh Lerner, Morten Sorensen, Per Strömberg
Management Science,
No. 4,
2017
Abstract
The growth of the private equity industry has spurred concerns about its impact on the economy. This analysis looks across nations and industries to assess the impact of private equity on industry performance. We find that industries where private equity funds invest grow more quickly in terms of total production and employment and appear less exposed to aggregate shocks. Our robustness tests provide some evidence that is consistent with our effects being driven by our preferred channel.
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On the Simultaneity Bias in the Relationship Between Risk Attitudes, Entry into Entrepreneurship and Entrepreneurial Survival
Matthias Brachert, Walter Hyll, Mirko Titze
Applied Economics Letters,
No. 7,
2017
Abstract
We consider the simultaneity bias when examining the effect of individual risk attitudes on entrepreneurship. We demonstrate that entry into self-employment is related to changes in risk attitudes. We further show that these changes are correlated with the probability to remain in entrepreneurship.
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Direct and Indirect Effects of Economic Sanctions between the EU and Russia on Output and Employment in the German Economy
Jutta Günther, Maria Kristalova, Udo Ludwig
Russland-Analysen,
No. 325,
2016
Abstract
In der Mitte des Jahres 2014 verhängten die EU und Russland infolge des Ukrainekonfliktes gegenseitige Sanktionen. Die bereits seit 2013 abnehmenden Warenexporte Deutschlands nach Russland brachen danach noch tiefer ein. Dieser Beitrag schätzt unter Verwendung der kürzlich vom Statistischen Bundesamt veröffentlichten Input-Output Tabellen für das Jahr 2012 die ökonomischen Folgen der Sanktionen für die Produktion und Beschäftigung in Deutschland. Dabei gehen sowohl die direkten als auch die indirekten Effekte entlang der gesamten Wertschöpfungskette in die Analyse ein. Die Produktionsverluste infolge der Sanktionen liegen kumuliert über die Jahre 2014 bis 2016 bei mehreren Milliarden. Bezogen auf die Bruttowertschöpfung entsprechen die Verluste aber »nur« 0,15 Prozent des Bruttoinlandsprodukts. Starke Verluste erleiden jedoch die Hersteller unmittelbar sanktionierter Warengruppen und deren Zulieferer, insbesondere der Fahrzeugbau, der Maschinenbau und die Erzeuger von Eisen und Stahl.
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Identifying the Effects of Place-based Policies – Causal Evidence from Germany
Matthias Brachert, Eva Dettmann, Mirko Titze
IWH Discussion Papers,
No. 18,
2016
Abstract
The German government provides discretionary investment grants to structurally weak regions to reduce regional disparities. We use a regression discontinuity design that exploits an exogenous discrete jump in the probability of receiving investment grants to identify the causal effects of the investment grant on regional outcomes. We find positive effects for regional gross value-added and productivity growth, but no effects for employment and gross wage growth.
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