This study estimates the firm-level employment effects of investment grants in Germany. In addition to the average treatment effect on the treated, we examine discrimination in the funding rules as a potential source of effect heterogeneity. We combine a staggered difference-in-differences approach with a matching procedure at the cohort level. The findings reveal a positive effect of investment grants on employment development. The subsample analyses yield strong evidence for heterogeneous effects based on firm characteristics and the economic environment. They highlight the responsibility of the local funding authorities to clarify ex ante which goals of a funding programme are most important in their regions.

The locational pattern of clubs in four professional football leagues in Europe is used to test the causal effect of relegations on short-run regional development. The study relies on the relegation mode of the classical round-robin tournament in the European model of sport to develop a regression-discontinuity design. The results indicate small and significant negative short-term effects on regional employment and output in the sports-related economic sector. In addition, small negative effects on overall regional employment growth are found. Total regional gross value added remains unaffected.

Most of the existing empirical literature on self-employment decisions assumes that individuals’ risk-taking propensities are stable over time. We allow for endogeneity on both sides when examining the relationship between individual risk-taking propensities and entry into self-employment. We confirm that a greater risk-taking propensity is associated with a higher probability of entering self-employment. However, we also find evidence that entering self-employment is associated with a significant and substantial increase in an individual’s propensity to take risks. Our findings add to the growing evidence that risk-taking propensities are not only inborn, but also determined by environmental factors.

This paper studies the contribution of both labor and non-labor income in the growth in income inequality in the United States and large European economies. The paper first shows that the capital to labor income ratio disproportionately increased among high-earnings individuals, further contributing to the growth in overall income inequality. That said, the magnitude of this effect is modest, and the predominant driver of the growth in income inequality in recent decades is the growth in labor earnings inequality. Far more important than the distinction between total income and labor income, is the way in which educational factors account for the growth in US labor and capital income inequality. Growing income gaps among different education groups as well as composition effects linked to a growing fraction of highly educated workers have been driving these effects, with a noticeable role of occupational and locational factors for women. Findings for large European economies indicate that inequality has been growing fast in Germany, Italy, and the United Kingdom, though not in France. Capital income and education don't play as much as a role in these countries as in the United States.

The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers.

The paper estimates the plant level employment effects of investment subsidies in one of the most strongly subsidized German Federal States. We analyze the treated plants as a whole, as well as the influence of heterogeneity in plant characteristics and the economic environment. Modifying the standard matching and difference-in-difference approach, we develop a new procedure that is particularly useful for the evaluation of funding programs with individual treatment phases within the funding period. Our data base combines treatment, employment and regional information from different sources. So, we can relate the absolute effects to the amount of the subsidy paid. The results suggest that investment subsidies have a positive influence on the employment development in absolute and standardized figures – with considerable effect heterogeneity.

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.

This paper focuses on the effect of foreign presence in the services sector on the productivity growth of downstream customers in the manufacturing sector in six EU new member countries in the course of their accession to the European Union. For this purpose, the analysis combines firm-level information, data on economic structures and annual national input-output tables. The findings suggest that services FDI may enhance productivity of manufacturing firms in Central and Eastern European (CEE) countries through vertical forward spillovers, and thereby contribute to their competitiveness. The consideration of firm characteristics shows that the magnitude of spillover effects depends on size, ownership structure, and initial productivity level of downstream firms as well as on the diverging technological intensity across sector on the supply and demand side. The results suggest that services FDI foster productivity of domestic rather than foreign controlled firms in the host economy. For the period between 2003 and 2008, the findings suggest that the increasing share of services provided by foreign affiliates enhanced the productivity growth of domestic firms in manufacturing by 0.16%. Furthermore, the firms’ absorptive capability and the size reduce the spillover effect of services FDI on the productivity of manufacturing firms. A sectoral distinction shows that firms at the end of the value chain experience a larger productivity growth through services FDI, whereas the aggregate positive effect seems to be driven by FDI in energy supply. This does not hold for science-based industries, which are spurred by foreign presence in knowledge-intensive business services.

We apply a network perspective and study the emergence of core-periphery (CP) structures in innovation networks to shed some light on the relationship between isolation and innovation. It has been frequently argued that a firm’s location in a densely interconnected network area improves its ability to access information and absorb technological knowledge. This, in turn, enables a firm to generate new products and services at a higher rate compared to less integrated competitors. However, the importance of peripheral positions for innovation processes is still a widely neglected issue in literature. Isolation may provide unique conditions that induce innovations which otherwise may never have been invented. Such innovations have the potential to lay the ground for a firm’s pathway towards the network core, where the industry’s established technological knowledge is assumed to be located.

The aim of our paper is twofold. Firstly, we propose a new CP indicator and apply it to analyze the emergence of CP patterns in the German laser industry. We employ publicly funded Research and Development (R&D) cooperation project data over a period of more than two decades. Secondly, we explore the paths on which firms move from isolated positions towards the core (and vice versa). Our exploratory results open up a number of new research questions at the intersection between geography, economics and network research.

This paper contributes to the discussion on the importance of physical distance in the emergence of cross-region collaborative Research and Development (R&D) interactions. The proximity theory, and its extensions, is used as a theoretical framework. A spatial interaction model for count data was implemented for the empirical analysis of German data from the period from 2005 to 2010. The results show that all tested proximity measurements (geographical, cognitive, social and institutional proximity) have a significant positive influence on collaboration intensity. The proximity paradox, however, cannot be confirmed for geographical, social and institutional proximity, but for cognitive proximity.