The paper analyses the development of the East German housing market after the reunification of the former German Democratic Republic and the Federal Republic of Germany in 1990. We analyse the dynamics of the East German housing market within the framework of the well-known stock-flow model, proposed by DiPasquale and Wheaton. We show that the today observable disequilibrium to a large extend is caused by post-unification housing policy and its strong fiscal incentives to invest into the housing stock. Moreover, in line with the stylized empirical facts, we show that ‘hidden reserves’ of the housing market were reactivated since the economy of East Germany became market organized. Since initial undersupply was overcome faster than politicians expected, the implemented fiscal stimuli were too strong. In contrast to the widespread opinion that outward migration caused the observable vacancies, this paper shows that not weakness of demand but supply side policies caused the observable disequilibrium.

Systemic innovation theory emphasizes that innovations are the result of an interdependent exchange process between different organizations. This is reflected in the current paradigm in European innovation policy, which aims at the support of collaborative R&D and innovation projects bringing together science and industry. Building on a large data set using project-level evidence on 406 subsidized R&D cooperation projects, the present paper provides detailed insights on the relationship between the innovative success of R&D cooperation projects and project characteristics. Patent applications and publications are used as measures for direct outcomes of R&D projects. We also differentiate between academic-industry projects and pure inter-firm projects. Main results of negative binomial regressions are that large-firm involvement is positively related to pa-tent applications, but not to publications. Conversely, university involvement has positive effects on project outcomes in terms of publications but not in terms of patent applications. In general, projects’ funding is an important predictor of innovative success of R&D cooperation projects. No significant results are found for spatial proximity among cooperation partners and for the engagement of an applied research institute. Results are discussed with respect to the design of R&D cooperation support schemes.

The paper analyses the development of the East German housing market after the reunification of the former German Democratic Republic and the Federal Republic of Germany in 1990. We analyse the dynamics of the East German housing market within the framework of the well-known stock-flow model, proposed by DiPasquale and Wheaton. We show that the today observable disequilibrium to a large extend is caused by post-unification housing policy and its strong fiscal incentives to invest into the housing stock. Moreover, in line with the stylized empirical facts, we show that ‘hidden reserves’ of the housing market were reactivated since the economy of East Germany became market organized. Since initial undersupply was overcome faster than politicians expected, the implemented fiscal stimuli were too strong. In contrast to the widespread opinion that outward migration caused the observable vacancies, this paper shows that not weakness of demand but supply side policies caused the observable disequilibrium.

Regional economic policy faces the challenge of two competing policy goals - reducing regional economic disparities vs. promoting economic growth. The allocation of public funds has to weigh these goals particularly under the restriction of scarce financial re- sources. If, however, some region turns out to be a regional growth pole with positive spillovers to its disadvantaged periphery, regional policies could be designed to recon- cile the conflicting targets. In this case, peripheral regions could indirectly participate in the economic development of their growing cores. We start our investigation by defining and identifying such growth poles among German regions on the NUTS 3 administrative level based on spatial and sectoral effects. Using cluster analysis, we determine significant characteristics for the general identification of growth poles. Patterns in the sectoral change are identified by means of the change in the employment. Finally, we analyze whether and to what extent these growth poles ex- ert spatial spillover effects on neighbouring regions and thus mitigate contradictory in- terests in regional public policy. For this purpose, we apply a Spatial-Cross-Regressive- Model (SCR-Model) including the change in the secondary sector which allows to con- sider functional economic relations on the administrative level chosen (NUTS 3).