CompNet Database
The CompNet Competitiveness Database The Competitiveness Research Network (CompNet)...
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IWH Bankruptcy Research
IWH Bankrupcty Research The Bankrupcty Research Unit of the Halle Institute for...
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Müller ref
Size of Training Firms and Cumulated Long-run Unemployment Exposure – The Role of Firms, Luck, and Ability in Young Workers’ Careers ...
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Plant-level Employment Development before Collective Displacements: Comparing Mass Layoffs, Plant Closures, and Bankruptcies
Daniel Fackler, Steffen Müller, Jens Stegmaier
IWH Discussion Papers,
No. 27,
2016
Abstract
To assess to what extent collective job displacements can be regarded as unanticipated exogenous shocks for affected employees, we analyze plant-level employment patterns before bankruptcy, plant closure without bankruptcy, and mass layoff. Utilizing administrative data covering all West German private sector plants, we find no systematic employment reductions prior to mass layoffs, a strong and long-lasting reduction prior to closures, and a much shorter shadow of death preceding bankruptcy. Our analysis of worker flows underlines that bankruptcies seem to struggle for survival while closures follow a shrinking strategy. We conclude that the scope of worker anticipation of upcoming job loss is smallest for mass layoffs and largest for closures without bankruptcy.
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Is Subsidizing Companies in Difficulties an Optimal Policy? An Empirical Study on the Effectiveness of State Aid in the European Union
Nicole Nulsch
IWH Discussion Papers,
No. 9,
2014
Abstract
Even though state aid in order to rescue or restructure ailing companies is regularly granted by European governments, it is often controversially discussed. The aims for rescuing companies are manifold and vary from social, industrial and even political considerations. Well-known examples are Austrian Airlines (Austria) or MG Rover (Great Britain). Yet, this study aims to answer the question whether state aid is used effectively and whether the initial aim why aid has been paid has been reached, i.e. the survival of the company. By using data on rescued companies in the EU and applying a survival analysis, this paper investigates the survival rates of these companies up to 15 years after the aid has been paid. In addition, the results are compared to the survival rates of non-rescued companies which have also been in difficulties. The results suggest that despite the financial support, business failure is often only post-poned; best survival rates have firms with long-term restructuring, enterprises in Eastern Europe, smaller firms and mature companies. However, non-funded companies have an even higher ratio to go bankrupt.
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Establishment Survival in East and West Germany: A Comparative Analysis
Daniel Fackler
Schmollers Jahrbuch,
No. 2,
2014
Abstract
Using a large administrative dataset, this paper compares the development of new establishments’ survival chances in East and West Germany for the period 1994 – 2008. A central question is whether convergence with respect to survival rates between East and West Germany can be observed. Using methods of survival analysis, I find that new establishments’ survival chances do not differ strongly between East and West Germany at the beginning of the observation period. In 1998 and 1999 the exit hazard increases strongly in East but not in West Germany, which is likely to be due to a change in the subsidy policy affecting East Germany. Since the turn of the millennium, the difference in establishments’ exit hazard between East and West Germany becomes smaller, indicating that there is convergence with respect to establishments’ survival chances.
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Establishment Exits in Germany: The Role of Size and Age
Daniel Fackler, Claus Schnabel, J. Wagner
Small Business Economics,
No. 3,
2013
Abstract
Using comprehensive data for West Germany, this paper investigates the determinants of establishment exit. We find that between 1975 and 2006 the average exit rate has risen considerably. In order to test various “liabilities” of establishment survival identified in the literature, we analyzed the impact of establishment size and put a special focus on differences between young and mature establishments. Our empirical analysis shows that the mortality risk falls with establishment size, which confirms the liability of smallness. The probability of exit is substantially higher for young establishments which are not more than 5 years old, thus confirming the liability of newness. There also exists a liability of aging since exit rates first decline over time, reaching a minimum at ages 15–18, and then rise again somewhat. The determinants of exit differ substantially between young and mature establishments, suggesting that young establishments are more vulnerable in a number of ways.
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A Control Group Study of Incubators’ Impact to Promote Firm Survival
Michael Schwartz
The Journal of Technology Transfer,
No. 3,
2013
Abstract
It is widely unclear as to whether start-up firms supported by publicly-initiated incubator initiatives have higher survival rates than comparable start-up firms that have not received support by such initiatives. This paper contributes to the underlying discussion by performing a large-scale matched-pairs analysis of the long-term survival of 371 incubator firms (after their graduation) from five German incubators and a control group of 371 comparable non-incubated firms. The analysis covers a 10-year time span. To account for the problem of selection bias, a non-parametric matching approach is applied to identify an appropriate control group. For neither of the five incubator locations, we find statistically significant higher survival probabilities for firms located in incubators compared to firms located outside those incubator organizations. For three incubator locations the analysis reveals statistically significant lower chances of survival for those start-ups receiving support by an incubator. The empirical results, therefore, raise some doubts regarding the impacts of incubation on long-term firm survival.
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A Control Group Study of Incubators’ Impact to Promote Firm Survival
Michael Schwartz
Wirtschaft im Wandel,
No. 7,
2010
Abstract
For more than half a century, publicly funded business incubators (BIs) are at the heart of urban and regional technology and innovation policies. However, it is widely unclear as to whether start-up firms supported by publicly-initiated incubator initiatives have higher survival rates than comparable start-up firms that have not received support by such initiatives. The present article contributes to the underlying discussion by performing an empirical analysis of the long-term survival of 371 incubator firms (after their graduation) from five German BIs and contrasting these results with the long-term survival of a control group of 371 comparable non-incubated firms. The analysis covers a 10-year time span. For neither of the five incubator locations, we find statistically significant higher survival probabilities for firms located in incubators compared to firms located outside those incubator organizations. For three incubator locations the analysis even reveals statistically significant lower chances of survival for those start-ups receiving support by an incubator. We therefore arrive at the conclusion that being located in an incubator does not increase the chances of long-term business survival.
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