Italien hat sich gut zehn Jahre nach der Finanz- und Staatsschuldenkrise nicht von deren wirtschaftlichen Folgen erholt. Verantwortlich sind zum einen die traditionellen Wachstumstreiber Italiens, nämlich das verarbeitende Gewerbe und der Bausektor, die beide einen Rückgang von jeweils 700 000 Beschäftigten zu verzeichnen haben. Zum anderen stagnieren in Italien im Unterschied zu vielen anderen EU
Following reunification, productivity in eastern Germany grew rapidly. A strong industrial sector is key to a thriving German economy. However, the narrowing of the industrial productivity gap between eastern and western Germany has come to a standstill since the financial and economic crisis and the gap remains considerable today. Nevertheless, when comparing similar regions in eastern and
German voters in the 2019 European election showed remarkable regional differences in their voting behavior. The Green Party surged in West German districts, while the AfD further consolidated its successes in East Germany. Investigating structural differences at the district level reveals that the Green party is particularly popular in economically strong, demographically young, and dynamic
Italy has yet to recover from the economic consequences of the financial and sovereign debt crisis that began more than a decade ago. In addition to losing 1.4 million jobs across the manufacturing and construction sectors, new industries driving growth across the EU, such as knowledge-intensive services, are instead stagnating in Italy. Previous structural reforms focused on deregulating the
As the policy debate on entrepreneurship increasingly centers on firm growth in terms of job creation, it is important to better understand which variables influence the first hiring decision and which ones influence the subsequent survival as an employer. Using the German Socioeconomic Panel (SOEP), we analyze what role individual characteristics of entrepreneurs play in sustainable job creation.
This paper analyzes the effect of agglomeration economies on firms’ total factor productivity. We propose the use of a control function approach to overcome the econometric issue inherent to the two-stage approach commonly used in the literature. Estimations are conducted separately for four industry groups, defined by technological intensity, to allow for non-uniform effects of agglomeration
A rich literature links knowledge inputs with innovative outputs. However, most of what is known is restricted to manufacturing. This paper analyzes whether the three aspects involving innovative activity - R&D; innovative output; and productivity - hold for knowledge intensive services. Combining the models of Crepon et al. (1998) and of Ackerberg et al. (2015), allows for causal interpretation