Energy-intensive sectors face significant challenges in meeting the goals of the new European Industrial Strategy and REPowerEU. This study aims to examine how energy consumption and energy mix in four energy-intensive sectors (primary metals; non-metallic minerals; pulp, paper, and printing;...

The main goal of the paper is quantitative and scientifically based economic assessment of basic metal industry and its importance for the national economy. The empirical assessment involves exploring the direct effects (the contribution of the steel industry to GDP and economic growth, export,...

The subject of the paper is the investigation of possible improvements to the process of eyeglass lenses production. The research area concerns the application of modern IT tools to the enhancement of production results, in the context of digitalization of the economy, including industry. The...

The chemical fertilizer industry has made great contributions to China's food security. Existing studies mainly focus on evaluating fertilizer use efficiency at the farm level whereas little is known about the technical efficiency of Chinese firms producing fertilizer. Based on the Chinese...

This study analyses the impact of mergers and acquisitions on performance of Indian pharmaceutical firms following the implementation of TRIPS in 1995. In order to identify adequately the effect of mergers, we investigate the impact on firm performance of the merged vis-a-vis the non-merged...

The efficiency of the German economy is powered by its knowledge-intensive industrial and services sectors. Yet the use of knowledge capital to drive innovation and productivity in Germany is rather low compared to other European countries and the United States. Germany is clearly lagging...

Die Leistungsfähigkeit der deutschen Wirtschaft beruht auf ihren wissensintensiven Industrie- und Dienstleistungsunternehmen. Dennoch ist der Einsatz von Wissenskapital als wichtiger Treiber von Innovationen und Produktivität in Deutschland im Vergleich zu anderen europäischen Ländern und...

This paper considers a linear panel data model with time varying heterogeneity. Bayesian inference techniques organized around Markov chain Monte Carlo (MCMC) are applied to implement new estimators that combine smoothness priors on unobserved heterogeneity and priors on the factor structure of...

In Deutschland werden jährlich rund 200 Milliarden Euro in wissensbasiertes Kapital investiert, wie etwa Forschung und Entwicklung, Software und Datenbanken, Organisationskapital, Marketing und Werbung oder technisches Design. Deutlich mehr – über 320 Milliarden Euro – wird zwar immer noch...

In Germany, around 200 billion euros are invested every year in knowledge-based capital, which encompasses assets such as research and development, software and databases, organizational capital, marketing and advertising, and technical design. Yet investments in traditional capital (such as...