Dienstleistungssektor bestimmt Dynamik beim Arbeitsvolumen
Hans-Ulrich Brautzsch
Wirtschaftsdienst,
No. 7,
2017
Abstract
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Konjunktur aktuell: Gute Konjunktur in Deutschland und in der Welt
Oliver Holtemöller, Hans-Ulrich Brautzsch, Andrej Drygalla, Katja Heinisch, Martina Kämpfe, Konstantin Kiesel, Axel Lindner, Brigitte Loose, Jan-Christopher Scherer, Birgit Schultz, Matthias Wieschemeyer, Götz Zeddies
Konjunktur aktuell,
No. 2,
2017
Abstract
Im Frühsommer 2017 ist die konjunkturelle Dynamik in der Welt recht kräftig. Wichtige Rahmenbedingungen für die Weltwirtschaft dürften günstig bleiben: Die Zinsen werden weiterhin fast überall niedrig sein, und das im Allgemeinen ruhige Preisklima deutet darauf hin, dass von der Angebotsseite insgesamt bislang kaum Spannungen ausgehen.
Die deutsche Wirtschaft befindet sich bereits seit Frühjahr 2013 in einem langgezogenen Aufschwung; sie wird im Sommerhalbjahr wohl weiter deutlich expandieren. Die Binnennachfrage und wegen der günstigen Arbeitsmarktlage insbesondere der private Konsum dürften kräftig bleiben. Die privaten Haushalte werden bei anhaltend günstigen Finanzierungsbedingungen auch ihre Bauaktivitäten weiter ausweiten, ebenso die Gebietskörperschaften, zumal die Steuereinnahmen hoch sind. Die Zuwachsrate des Bruttoinlandsprodukts ist allerdings wegen der geringeren Zahl an Arbeitstagen in diesem Jahr mit 1,6% niedriger als im Jahr 2016. Im kommenden Jahr dürfte der Zuwachs 1,8% betragen. Mit jeweils 1,7% in diesem und im nächsten Jahr fällt der Anstieg der Verbraucherpreise moderat aus, aber deutlich stärker als in den drei Jahren zuvor. Die Arbeitslosigkeit nimmt zunächst weiter ab. Die öffentlichen Haushalte erzielen weiterhin deutliche Überschüsse, auch in konjunkturbereinigter Rechnung. Die ostdeutsche Wirtschaft dürfte im Jahr 2017 wie bereits im Jahr zuvor um zwei Zehntel Prozentpunkte stärker zulegen als in Deutschland insgesamt.
Risiken für die deutsche Wirtschaft resultieren vor allem aus den globalen wirtschaftspolitischen Rahmenbedingungen.
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The Dynamic Effects of Works Councils on Plant Productivity: First Evidence from Panel Data
Steffen Müller, Jens Stegmaier
British Journal of Industrial Relations,
No. 2,
2017
Abstract
We estimate dynamic effects of works councils on labour productivity using newly available information from West German establishment panel data. Conditioning on plant fixed effects and control variables, we find negative productivity effects during the first five years after council introduction but a steady and substantial increase in the councils’ productivity effect thereafter. Our findings support a causal interpretation for the positive correlation between council existence and plant productivity that has been frequently reported in previous studies.
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Do Local Banking Market Structures Matter for SME Financing and Performance? New Evidence from an Emerging Economy
Iftekhar Hasan, Krzysztof Jackowicz, Oskar Kowalewski, Łukasz Kozłowski
Journal of Banking and Finance,
2017
Abstract
This paper investigates the relationship between local banking structures and SMEs’ access to debt and performance. Using a unique dataset on bank branch locations in Poland and firm-, county-, and bank-level data, we conclude that a strong position for local cooperative banks facilitates access to bank financing, lowers financial costs, boosts investments, and favours growth for SMEs. Moreover, counties in which cooperative banks hold a strong position are characterized by a more rapid pace of new firm creation. The opposite effects appear in the majority of cases for local banking markets dominated by foreign-owned banks. Consequently, our findings are important from a policy perspective because they show that foreign bank entry and industry consolidation may raise valid concerns for SME prospects in emerging economies.
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Plant-based Bioeconomy in Central Germany – A Mapping of Actors, Industries and Places
Wilfried Ehrenfeld, Frieder Kropfhäußer
Technology Analysis and Strategic Management,
No. 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,
No. 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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Skills, Earnings, and Employment: Exploring Causality in the Estimation of Returns to Skills
Franziska Hampf, Simon Wiederhold, Ludger Woessmann
Large-scale Assessments in Education,
No. 12,
2017
Abstract
Ample evidence indicates that a person’s human capital is important for success on the labor market in terms of both wages and employment prospects. However, unlike the efforts to identify the impact of school attainment on labor-market outcomes, the literature on returns to cognitive skills has not yet provided convincing evidence that the estimated returns can be causally interpreted. Using the PIAAC Survey of Adult Skills, this paper explores several approaches that aim to address potential threats to causal identification of returns to skills, in terms of both higher wages and better employment chances. We address measurement error by exploiting the fact that PIAAC measures skills in several domains. Furthermore, we estimate instrumental-variable models that use skill variation stemming from school attainment and parental education to circumvent reverse causation. Results show a strikingly similar pattern across the diverse set of countries in our sample. In fact, the instrumental-variable estimates are consistently larger than those found in standard least-squares estimations. The same is true in two “natural experiments,” one of which exploits variation in skills from changes in compulsory-schooling laws across U.S. states. The other one identifies technologically induced variation in broadband Internet availability that gives rise to variation in ICT skills across German municipalities. Together, the results suggest that least-squares estimates may provide a lower bound of the true returns to skills in the labor market.
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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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