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DieFelix-App
(2020)
Emotionen besitzen eine große Bedeutung bei Lernprozessen. Nach der „Control-Value“-Theorie wird davon ausgegangen, dass positive Emotionen sich positiv, nega tive Emotionen sich hingegen negativ auf den Lernprozess auswirken können. Die Felix-App greift solche Effekte auf, um das Befinden und die Bedürfnisse von Lehrenden und Lernenden in Echtzeit zu erfassen und direkt in Form anschaulicher Grafiken zurück-zumelden. Der theoretische Hintergrund und Best-Practice-Beispiele werden erläutert.
Digital software platforms allow third parties to develop applications and thus extend their functionality. Platform owners provide platform boundary resources that allow for application development. For developers, platform integration, understood as the employment of platform resources, helps to realize application functionality effectively. Simultaneously, it requires integration effort and increases dependencies. Developers are interested to know whether integration contributes to success in hypercompetitive platform settings. While aspects of platform participation have been studied, research on a comprehensive notion of integration and related implications are missing. By proposing a platform integration model, this study supports a better understanding of integration. Concerning dynamics related to integration, effects were tested using information from over 82,000 Apple AppStore applications. Regression model analysis reveals that application success and customer satisfaction is positively influenced by platform integration. To achieve superior results, developers should address multiple aspects of integration, such as devices, data, the operating system, the marketplace as well as other applications, and provide updates. Finally, the study highlights the importance for all platform participants and their possibilities to employ integration as a strategic instrument.
We use panel data from Germany to analyze the effect of population density on urban air pollution (nitrogen oxides, particulate matter, ozone, and an aggregate index for bad air quality [AQI]). To address unobserved heterogeneity and omitted variables, we present long difference/fixed effects estimates and instrumental variables estimates, using historical population and soil quality as instruments. Using our preferred estimates, we find that the concentration increases with density for NO2 with an elasticity of 0.25 and particulate matter with elasticity of 0.08. The O-3 concentration decreases with density with an elasticity of -0.14. The AQI increases with density, with an elasticity of 0.11-0.13. We also present a variety of robustness tests. Overall, the paper shows that higher population density worsens local air quality.
In this paper we examine the relationship between the default risk of banks and sovereigns, i.e. the 'doom-loop'. Specifically, we try to assess the effectiveness of the implementation of the new recovery and resolution framework in the European Union. We use a panel with daily data on European banks and sovereigns ranging from 2012 to 2016 in order to test the effects of the Bank Recovery and Resolution Directive on the two-way feedback process. We find that there was a pronounced feedback loop between banks and sovereigns from 2012 to 2014. However, after the implementation of the European Banking Union, in 2015/2016, the magnitude of the doom-loop decreased and the spillovers became not statistically significant. Furthermore, our results suggest that the implementation of the new resolution framework is a suitable candidate to explain this finding. Overall, the results are robust across several specifications.
This article merges theoretical literature on non-controlling minority shareholdings (NCMS) in a coherent model to study the effects of NCMS on competition and collusion. The model encompasses both the case of a common owner holding shares of rival firms as well as the case of cross ownership among rivals. We find that by softening competition, NCMS weaken the sustainability of collusion under a greater variety of situations than was indicated by earlier literature. Such effects exist, in particular, in the presence of an effective competition authority.
Technological advancements are giving rise to the fourth industrial revolution - Industry 4.0 -characterized by the mass employment of smart objects in highly reconfigurable and thoroughly connected industrialproduct-service systems. The purpose of this paper is to propose a theory-based knowledgedynamics model in the smart grid scenario that would provide a holistic view on the knowledge-based interactions among smart objects, humans, and other actors as an underlyingmechanism of value co-creation in Industry 4.0. A multi-loop and three-layer - physical, virtual, and interface - model of knowledge dynamics is developedby building on the concept of ba - an enabling space for interactions and theemergence of knowledge. The model depicts how big data analytics are just one component inunlocking the value of big data, whereas the tacit engagement of humans-in-the-loop - theirsense-making and decision-making - is needed for insights to be evoked fromanalytics reports and customer needs to be met.
Das Klimaschutzgesetz hat einen Paradigmenwechsel eingeleitet: den Einstieg in eine CO2-Bepreisung als künftiges Leitinstrument der Klimapolitik. Auf den ersten Blick ist der CO2-Preis unter einer Fülle von Fördermaßnahmen und ordnungsrechtlichen Regelungen verschüttet, deren Wirksamkeit und Kosten höchst unsicher sind. Der CO2-Preis ist aber so angelegt, dass er langfristig das dominante Instrument einer europäisch harmonisierten Klimapolitik werden kann. Der angedeutete Paradigmenwechsel der deutschen Klimapolitik öffnet damit die Tür, die europäische und internationale Kooperation zu stärken. Dazu ist es aber notwendig, neben der europäischen auch die globale Klimapolitik neu auszurichten. Auch dort sollten sich die Verhandlungen statt auf nationale Mengenziele auf CO2-Preise konzentrieren. Die erforderliche Kooperation wird möglich, wenn die Regierungen Transferzahlungen strategisch und reziprok nutzen. So könnte die Effektivität der Klimapolitik erhöht werden und es ließen sich die entstehenden Verteilungskonflikte entschärfen.
How assets get stranded
(2020)
Internalizing external costs of carbon is a fundamental goal of climate policy. Since the seminal work of Arthur Pigou in 1920, economic theory has analyzed the efficiency gains arising from various instruments that internalize externalities and lead to Pareto-improvements. It is widely recognized in environmental economics that a carbon price would effectively reflect the scarcity of the atmospheric disposal space for carbon depending on the temperature target that is to be achieved. The question of how to organize the transition process, i.e. moving from inefficient to efficient allocations, and implementing the necessary policies, has gained increasing attention in recent years. Arguably, the transition process is tightly interwoven with political processes that include complex interactions between societal stakeholders, such as households and firms, on the one hand, and political decision makers, on the other. Accordingly, understanding political-economy aspects of the transition process, including distributional outcomes, is becoming increasingly relevant. While a growing literature discusses the distributional implications of climate policy on households, it is less well understood how asset owners might be affected by climate policy and how these potential impacts would interact with the transition process. This Special Section focuses on public policy challenges related to this transition problem, with special emphasis on asset owners. A core theme is the special role of stranded assets, i.e. a devaluation of capital stocks or financial assets either by introducing a stringent carbon price or by omitting a pre-announced policy of this kind.
This article examines the effect of parental socialization and interest in politics on entering and staying in public service careers. We incorporate two related explanations, yet commonly used in different fields of literature, to explain public sector choice. First, following social learning theory, we hypothesize that parents serve as role models and thereby affect their children's sector choice. Additionally, we test the hypothesis that parental socialization leads to a longer stay in public sector jobs while assuming that it serves as a buffer against turnover. Second, following public service motivation process theory, we expect that 'interest in politics' is influenced by parental socialization and that this concept, in turn, leads to a public sector career. A representative set of longitudinal data from the Swiss household panel (1999-2014) was used to analyse these hypotheses (n = 2,933, N = 37,328). The results indicate that parental socialization serves as a stronger predictor of public sector choice than an interest in politics. Furthermore, people with parents working in the public sector tend to stay longer in their public sector jobs. Points for practitioners For practitioners, the results of this study are relevant as they highlight the limited usefulness of addressing job applicants' interest in politics in the recruitment process. Human resources managers who want to ensure a public-service-motivated workforce are therefore advised to focus on human resources activities that stimulate public service motivation after job entry. We also advise close interaction between universities and public organizations so that students develop a realistic picture of the government as a future employer and do not experience a 'reality shock' after job entry.