Mehr Schutz vor ausländischen Direktinvestitionen?

Currently, there is no comprehensive legal framework at EU level to screen foreign direct investments (FDI) into the EU. In September 2017, the European Commission proposed a framework for screening foreign direct investments into the European Union. The reform will likely come into force at the end of 2018. This paper describes the political background and key concepts of the FDI screening framework and analyses potential economic effects of the new regulation.     

Customer and Supplier Portfolios: Can Credit Risks be Managed Through Supply Chain Relationships?

While supply chain risk has been the subject of an ever‐increasing amount of research attention, the importance of credit risk has been less studied, at least by supply chain researchers. Yet, there may be risks inherent within a firm's portfolios of supply chain relationships that are manifested in the credit risk of a firm. Moreover, portfolio characteristics may serve as a signal to the external market regarding these risks. While customer and supplier portfolio characteristics may impact the firm's exposure to risks, the specific issue of how portfolio characteristics relate to credit risk has rarely been examined by supply chain scholars. This research bridges extant works in supply chain management and finance to relate supply chain characteristics to a critical reputational outcome, namely credit ratings. In this research, we utilize a sample of firms that recently underwent an initial public offering to empirically examine the theoretical predictions of Resource Dependence Theory regarding the relationships between different supply chain portfolio characteristics and credit risk.     

How many educated workers for your economy? European targets,optimal public spending,and labor market impact

This paper studies optimal taxation schemes for education in a search-matching model where the labor market is divided between a high-skill and a low-skill sector. Two public policy targets - maximizing the total employment level and optimizing the social surplus - are studied according to three different public taxation strategies. We calibrate our model using evidence from thirteen European countries, and compare our results with the target from the Europe 2020 Agenda for achievement in higher education. We show that, with current labor market characteristics, the target set by governments seems compatible with the social surplus maximization objective for some countries, while being too high for other countries. For all countries, maximizing employment would imply higher educational spending than that required for the social surplus to reach its maximum.     

On Measurement of Economic Growth

This article continues the discussion raised in the pages of the journal on the methodological problems of justifying economic policy [1]. Problems of measuring the inflationary component of economic growth and in product competitiveness in the internal market and external markets are considered. A procedure to measure economic growth, taking into account the balance of interests of the current and future generations, is proposed.     

Aufdeckung von Versicherungsbetrug bei Kfz-Schäden mit Hilfe des Benford-Tests

The German Insurance Association estimates a yearly amount of damage of € 1.5?bn to German motor vehicle insurance companies because of systematic fraud by insurance holders. It is supposed that about 10% of submitted claim applications contain manipulated data, therefore insurance companies are forced to complete a detailed and cost intensive case-by-case review of each single application. An alternative method to detect fraud in empiric data is the method of digital analysis based on Benford’s law. The Benford method uses a mathematical law of specific logarithmic distribution attributes of first digits. According to this approach, the data of a Benford set confirm with the expected digit distribution, if the data is not manipulated, whereas fraudulent interventions lead to a deviation from Benford’s law. Hence, until now there has not been any investigation whether the Benford method can also be applied on insurance data. The present article analyses a dataset consisting of more than 120,000 damage claim applications to answer this question as well as to identify the impact of specific characteristics on the probability of fraud contained in claim applications, such as the repair of the vehicle in a franchised or an independent workshop, the vehicle brand or the examination by insurance companies experts. Indeed it could be shown that Benford’s Law is only applicable on second digits of insurance data, but delivers very strong results here: All results of the considered characteristics could be verified by plausible arguments. For this reason insurance companies can benefit from making use of the Benford method to identify those claim applications with a high probability of fraud, which should then be reviewed in more detail so that resources can be allocated in a much more cost efficient way.     

An experimental analysis of tax avoidance policies

Policies to reduce aggressive tax avoidance are increasingly being implemented or discussed in many countries around the world. Tax authorities hope that such policies will generate new tax revenue by increasing overall tax compliance. We present an experimental design to investigate the effect of a stylized anti-avoidance tax policy on tax compliance behavior. We highlight that anti-avoidance tax policies that reduce tax avoidance can also induce an increase in tax evasion (“substitution effect”), which limits the additional tax revenue these policies will generate. We show that the degree of substitution depends crucially on behavioral factors such as tax morale. Policymakers therefore also need to consider behavioral features while designing such policies and estimating their potential effects.     

Exploring the learning problems and resource usage of undergraduate industrial design students in design studio courses

Design is a powerful weapon for modern companies so it is important to have excellent designers in the industry. The purpose of this study is to explore the learning problems and the resources that students use to overcome problems in undergraduate industrial design studio courses. A survey with open-type questions was conducted to collect data. Participants in this study were 189 undergraduate industrial design students from three universities, and two coding schema were formulated for analysing the data. The results demonstrated that the most difficult design tasks included concept generation, design presentation, and design research. The learning resources used to solve the learning problems included four categories: people, object, method, and environment. This information will increase the understanding of the learning process of students and provide a reference for teaching and the setting of learning resources in industrial design education.     

The European origins of economic development

Although a large literature argues that European settlement outside of Europe during colonization had an enduring effect on economic development, researchers have been unable to assess these predictions directly because of an absence of data on colonial European settlement. We construct a new database on the European share of the population during colonization and examine its association with economic development today. We find a strong, positive relation between current income per capita and colonial European settlement that is robust to controlling for the current proportion of the population of European descent, as well as many other country characteristics. The results suggest that any adverse effects of extractive institutions associated with small European settlements were, even at low levels of colonial European settlement, more than offset by other things that Europeans brought, such as human capital and technology.