Monetary Policy in Austria–Hungary, 1876–1913: An Econometric Analysis of the Determinants of the Central Bank’s Discount Rate and the Liquidity Ratio

This paper presents a model to explain the official discount rate of the Central Bank of Austria–Hungary from 1876 to 1913. The discount rate is assumed to depend on the liquidity ratio of the Bank, defined as the ratio of its stock of metals to banknotes issued, and on changes in foreign discount rates. The paper also presents an equation explaining the liquidity ratio. We use “not equally spaced chronologically ordered data” referring to the 50 discount rate changes enacted. The regressions confirm that the liquidity ratio was the main determinant of the discount rate and that Germany (and not Great Britain) played a significant role in determining the Austro–Hungarian discount rate and the liquidity ratios, supporting the view that the classical gold standard was a decentralized multipolar system rather than a system fully dominated by London as suggested by Keynes. The regressions also suggest that, although Austria–Hungary had an inconvertible paper currency (1879–1892) and fluctuating exchange rates (1876–1895) and formally joined the gold standard only in 1902, it “shadowed” the behaviour of gold standard Central Banks with such consistency that the stability of the estimated regressions was relatively unaffected by the frequent institutional changes.

Multikriterielles Entscheidungsmodell für Anpassungsmaßnahmen am Beispiel der L/H-Gas-Umstellung in Deutschland

The German gas supply system is separated into two networks: one for high-calorific gas (H-gas) and one for low-calorific gas (L-gas). In particular, the L-gas volume is declining significantly, which means that there will be problems in security of supply in near future. This paper highlights the most important aspects that have to be considered when adjusting the German gas network to the future decline of L-gas production. First, the article discusses different possible adjustment options: (1) adjustment of market areas from low-calorific gas supply to high-calorific gas supply, (2) blending facilities (conversion of high calorific gas using nitrogen or air) and (3) the combination of both options. Subsequently, the authors outline the necessary planning process that must precede any adjustment option. The so-called network differentiation is followed by the network modeling: Using the net present value method and taking into account certain constraints, the authors define a simple optimization problem to determine the most economical investment and adjustment times for each option. Based on first model considerations it can be concluded that the implementation of adjustment options should be delayed as long as possible without compromising the security of supply. Nevertheless, an early start of the planning process is mandatory to ensure that adjustment options can be established in due time before an L-gas supply deficit occurs. The question, which adjustment option should be chosen, cannot be answered universally. It depends on the conditions and structure of the network as well as the structure of the final consumers.     

The Paradox of Liberalization — Understanding Dualism and the Recovery of the German Political Economy

What do the recent trends in German economic development convey about the trajectory of change? Has liberalization prepared the German economy to deal with new challenges? What effects will liberalization have on the co‐ordinating capacities of economic institutions? This article argues that co‐ordination and liberalization are two sides of the same coin in the process of corporate restructuring in the face of economic shocks. Firms seek labour co‐operation in the face of tighter competitive pressures and exploit institutional advantages of co‐ordination. However, tighter co‐operation with core workers sharpened insider–outsider divisions and were built upon service sector cost cutting through liberalization. The combination of plant‐level restructuring and social policy change forms a trajectory of institutional adjustment of forming complementary economic segments which work under different rules. The process is driven by producer coalitions of export‐oriented firms and core workers’ representatives, rather than by firms per se.     

Resource Dependency,Innovative Strategies,and Firm Performance in BOP Markets

Low‐income markets have attracted the interest of academics, politicians, and business leaders alike. In recent years, numerous companies such as Unilever, Cemex, Tetrapak, and Vodafone have provided evidence that low‐income markets offer commercial business opportunities and that private companies can realize profitable business activities while simultaneously contributing to the alleviation of poverty. However, companies are challenged by constraining conditions such as poor infrastructure, nonexistent distribution channels, illiteracy, corruption, lack of enforceable legal frameworks, and violent conflicts when entering those markets. In order to succeed, companies develop new strategies, introduce innovative business models, and develop novel capabilities. Three innovative practices are commonly named in the literature that should enable companies to operate successfully in low‐income markets: (1) integrating the local population and local entrepreneurs to cocreate products; (2) cooperating with nontraditional or fringe stakeholders; and (3) building local capacity, which means improving the market conditions of low‐income markets. This study applies a resource dependence perspective as it provides valuable explanations on the interaction between companies and their environment, how companies cope with environmental constraints, and how the environment and different strategies affect business outcomes. By integrating a resource dependence perspective, the study theoretically frames the strategic recommendations of the literature and answers the underlying research question of whether environmental conditions of low‐income markets cause the execution of innovative practices and whether such practices influence the outcome of companies operating in low‐income markets. The research hypotheses are tested in a structural equation model against data of 103 firms operating in low‐income markets. The study reveals that companies integrate local actors to cocreate products and cooperate with nontraditional and fringe stakeholders to reduce resource dependency. Local capacity building, which means improving the local environment, is only applied by companies when strong partnerships with nontraditional and fringe stakeholders are established. Finally, the study shows that partnerships with nontraditional and fringe stakeholders as well as local capacity building have a positive effect on organizational performance. Thus, when companies aim to enter low‐income markets, they should not follow the recommendation of the transaction cost theory and internalize resources, but rather cooperate with nontraditional partners and invest in the local environment. Moreover, the study shows that market entries into low‐income markets require long‐term commitments to engage in partnerships with regional authorities, local community groups, and nongovernmental organizations. Without these partnerships, it is not possible to reduce high resource dependencies and to establish successful businesses in low‐income markets. Thus, governments should create general conditions that facilitate the creation of partnerships between nontraditional actors and companies, and assist them to improve environmental conditions in these markets.     

Antecedents to Decision‐Making Quality and Agility in Innovation Portfolio Management

Innovation portfolio management (IPM) is a dynamic decision‐making process, in which projects are evaluated and selected, and resources are allocated. Previous research has developed an understanding of IPM success and its influencing factors. However, little research investigated the quality of the decision‐making process and the ability to quickly adapt the portfolio. This study focuses on the antecedents of decision‐making quality and agility (i.e., responsiveness to changes in the environment). Based on a decision‐making framework, five structural and cultural IPM components are derived as important antecedents of decision‐making quality, which in turn influences agility. The structural components (1) clarity of strategic goals, (2) formality of the IPM processes, and (3) controlling intensity serve a coordinating function. The cultural components (4) innovation climate and (5) risk climate serve a motivating function in IPM. An analysis of a sample of 179 firms and their innovation portfolios through structural equation modeling using a double‐informant design documents that these five components all positively influence portfolio decision‐making quality, which in turn positively influences agility. Results further show that environmental turbulence moderates some of these relationships. While the positive effect of process formality is weakened under increasing turbulence, the effects of controlling intensity and climate for innovation are strengthened by environmental turbulence. The findings have theoretical implications for the understanding of IPM as a dynamic capability and practical implications for the management of portfolios in turbulent environments.     

You are an astroneer: the effects of robotics camps on secondary school students’ perceptions and attitudes towards STEM

International Journal of Technology and Design Education - Creativity, critical thinking, communication and collaboration are thought to be the core skills that will enable students to be...     

Smart Meter-Angebote: Eine empirische Untersuchung von Kundenpräferenzen

The implementation of smart meters in German households by 2032 is a major step in the transition towards an intelligent and connected energy system. Despite of federal legislation providing a structured plan for the nationwide smart meter rollout including basic product requirements, actors within the energy market have the opportunity to take an active part in shaping the market through appealing product offers and hence to create competitive advantage. This study identifies relevant features of smart meters from literature und business practice, and measures customer’s preferences for these features. Results indicate predominantly positive customer evaluations of smart meter features, amongst which the availability of consumption data, the installation price and rental charges as well as time variable tariffs contribute most to overall utility of smart meters. Finally, findings suggest targeting customers by defining strategies to address privacy concerns, to educate about saving potentials as well as to create differentiated pricing schemes.     

The Impact of an increasing share of RES-E on the Conventional Power Market — The Example of Germany

The intermittency of wind power has a decreasing effect on day-ahead spot prices. Data from Germany illustrate this effect and explain the underlying relationships. This short-term price effect leads to an adaptation process in the conventional generation capacity mix. In the long-run, a higher peak load plant share is required to cope with the increasing volatility of the residual demand. The result is an adapted merit-order. This merit-order intersects with an increasingly volatile residual demand curve and leads to a higher price volatility in the power market, which is going to trigger further adaptations. Therefore this article concludes with a list of open research questions, which can be derived from the illustrated relationship. These research questions should be investigated as soon as possible in order to induce the required adaptations in time.     

The Risk Microstructure of Corporate Bonds: A Case Study from the German Corporate Bond Market

This article presents joint econometric analysis of interest rate risk, issuer‐specific risk (credit risk) and bond‐specific risk (liquidity risk) in a reduced‐form framework. We estimate issuer‐specific and bond‐specific risk from corporate bond data in the German market. We find that bond‐specific risk plays a crucial role in the pricing of corporate bonds. We observe substantial differences between different bonds with respect to the relative influence of issuer‐specific vs. bond‐specific spread on the level and the volatility of the total spread. Issuer‐specific risk exhibits strong autocorrelation and a strong impact of weekday effects, the level of the risk‐free term structure and the debt to value ratio. Moreover, we can observe some impact of the stock market volatility, the respective stock's return and the distance to default. For the bond‐specific risk we find strong autocorrelation, some impact of the stock market index, the stock market volatility, weekday effects and monthly effects as well as a very weak impact of the risk‐free term structure and the specific stock's return. Altogether, the determinants of the spread components vary strongly between different bonds/issuers.     

Verteilungsaspekte einer Harmonisierung der europäischen Klimaschutzmaßnahmen

The ongoing harmonisation of the European energy sector has led to gains from growth and increasing efficiencies by creating a common European internal market. However, there are new tendencies running against harmonisation in recent years, currently for example in the area of climate protection and the associated expansion of renewable energies. In addition to the role of national targets for climate protection in combination with a European emissions trading system, carrying out the related measures leads to distributional effects, both between countries and between stakeholders (e. g., producers and consumers) in these countries. We first analyse the impact of a non-harmonised national promotion schemes for renewable energies on electricity and CO₂ prices in different countries. Then we illustrate the impact of harmonisation measures on producers and consumers in the participating countries. The analysis shows that these measures are indeed economically beneficial, but that—depending on the actual configuration—they can also lead to disadvantages for individual actors. Analysing and discussing these effects leads to a better assessment of the impact of certain measures and enables a better classification of individual market participants’ responses and opinions.