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Plant-based Bioeconomy in Central Germany – A Mapping of Actors, Industries and Places

Wilfried Ehrenfeld, Frieder Kropfhäußer
Technology Analysis & Strategic Management, Nr. 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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Joint R&D Subsidies, Related Variety, and Regional Innovation

T. Broekel, Matthias Brachert, M. Duschl, T. Brenner
International Regional Science Review, Nr. 3, 2017
Abstract
Subsidies for research and development (R&D) are an important tool of public R&D policy, which motivates extensive scientific analyses and evaluations. This article adds to this literature by arguing that the effects of R&D subsidies go beyond the extension of organizations’ monetary resources invested into R&D. It is argued that collaboration induced by subsidized joint R&D projects yield significant effects that are missed in traditional analyses. An empirical study on the level of German labor market regions substantiates this claim, showing that collaborative R&D subsidies impact regions’ innovation growth when providing access to related variety and embedding regions into central positions in cross-regional knowledge networks.
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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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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, Nr. 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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Paternal Unemployment During Childhood: Causal Effects on Youth Worklessness and Educational Attainment

Steffen Müller, Regina T. Riphahn, Caroline Schwientek
Oxford Economic Papers, Nr. 1, 2017
Abstract
Using long-running data from the German Socio-Economic Panel (1984–2012), we investigate the impact of paternal unemployment on child labour market and education outcomes. We first describe correlation patterns and then use sibling fixed effects and the Gottschalk (1996) method to identify the causal effects of paternal unemployment. We find different patterns for sons and daughters. Paternal unemployment does not seem to causally affect the outcomes of sons. In contrast, it increases both daughters’ worklessness and educational attainment. We test the robustness of the results and explore potential explanations.
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Creative Destruction and Subjective Well-being

Philippe Aghion, Ufuk Akcigit, Angus Deaton, Alexandra Roulet
American Economic Review, Nr. 12, 2016
Abstract
In this paper we analyze the relationship between turnover-driven growth and subjective well-being. Our model of innovation-led growth and unemployment predicts that: (i) the effect of creative destruction on expected individual welfare should be unambiguously positive if we control for unemployment, less so if we do not; (ii) job creation has a positive and job destruction has a negative impact on well-being; (iii) job destruction has a less negative impact in areas with more generous unemployment insurance policies; and (iv) job creation has a more positive effect on individuals that are more forward-looking. The empirical analysis using cross sectional MSA (metropolitan statistical area)-level and individual-level data provide empirical support to these predictions.
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Support for Public Research Spin-offs by the Parent Organizations and the Speed of Commercialization

Viktor Slavtchev, D. Göktepe-Hultén
The Journal of Technology Transfer, Nr. 6, 2016
Abstract
We empirically analyze whether support by the parent organization in the early (nascent and seed) stage speeds up the process of commercialization and helps spin-offs from public research organizations generate first revenues sooner. To identify the impact of support by the parent organization, we apply multivariate regression techniques as well as an instrumental variable approach. Our results show that support in the early stage by the parent organization can speed up commercialization. Moreover, we identify two distinct channels—the help in developing a business plan and in acquiring external capital—through which support by the parent organization can enable spin-offs to generate first revenues sooner.
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Mapping Potentials for Input-Output Based Innovation Flows in Industrial Clusters – An Application to Germany

Mirko Titze, Matthias Brachert, Hans-Ulrich Brautzsch
Economic Systems Research, Nr. 4, 2016
Abstract
Our paper pursues two aims: first, it presents an approach based on input–output innovation flow matrices to study intersectoral innovation flows within industrial clusters. Second, we apply this approach to the identification of structural weaknesses in East Germany relative to the western part of the country. The case of East Germany forms an interesting subject because while its convergence process after unification began promisingly in the first half of the 1990s, convergence has since slowed down. The existing gap can now be traced mainly to structural weaknesses in the East German economy, such as the absence of strong industrial cluster structures. With this in mind, we investigate whether East Germany does in fact reveal the abovementioned structural weaknesses. Does East Germany possess fewer industrial clusters? Are they less connected? Does East Germany lack specific clusters that are also important for the non-clustered part of the economy?
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Gender Wage Discrimination: Does the Extent of Competition in Labor Markets Explain why Female Workers are Paid Less than Men?

Boris Hirsch
IZA World of Labor, Nr. 310, 2016
Abstract
There are pronounced and persistent wage differences between men and women in all parts of the world. A significant element of these wage disparities can be attributed to differences in worker and workplace characteristics, which are likely to mirror differences in worker productivity. However, a large part of these differences remains unexplained, and it is common to attribute them to discrimination by the employer that is rooted in prejudice against female workers. Yet recent empirical evidence suggests that, to a large extent, the gaps reflect “monopsonistic” wage discrimination—that is, employers exploiting their wage-setting power over women—rather than any sort of prejudice.
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Innovation Network

Daron Acemoglu, Ufuk Akcigit, William R. Kerr
Proceedings of the National Academy of Sciences of the United States of America (PNAS), Nr. 41, 2016
Abstract
Technological progress builds upon itself, with the expansion of invention in one domain propelling future work in linked fields. Our analysis uses 1.8 million US patents and their citation properties to map the innovation network and its strength. Past innovation network structures are calculated using citation patterns across technology classes during 1975–1994. The interaction of this preexisting network structure with patent growth in upstream technology fields has strong predictive power on future innovation after 1995. This pattern is consistent with the idea that when there is more past upstream innovation for a particular technology class to build on, then that technology class innovates more.
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