Techno-ökonomische Bewertung von Energie-Autarkie für die Energieversorgung von Einfamilienhäusern

Many consumers currently follow the idea of energy self-sufficiency and try to contribute to meet their energy needs in order to become independent and self-sufficient from the central power supply system. In order to achieve load-oriented energy self-sufficiency the provision of energy must cover the full energy demand at any time. Against this background, in this paper the costs and potentials of a load-oriented energy self-sufficiency of single-family homes are analysed. Thereby it is differentiated between electricity-, heat- and energy self-sufficiency. The modelling is carried out with the simulation environment ?Polysun Designer“ which allows a high temporal dynamic simulation of the annual energy demand and supply.The results show that, within the investigated supply variations, the highest levels of energy self-sufficiency can be achieved by an energy supply system completely based on electricity using a combination of PV; heat pump and battery storage. Depending on the building standard, a maximum of 45 (existing buildings) and 71?% (new buildings) of the building’s energy demand can be covered with renewable energy. The economic evaluation however has shown that under present conditions, none of the investigated supply variants can compete with conventional energy supply (public grid connection + gas condensing boiler).     

Corporate taxes,capital structure,and valuation: Combining Modigliani/Miller and Miles/Ezzell

The valuation of a firm with discounted cash flow (DCF) approaches requires assumptions about the firm’s financing strategy. The approaches of Modigliani and Miller and Miles and Ezzell assume that either a passive debt management with predetermined debt levels or active debt management with capital structure targets is applied. Over the last decades, various extensions of these approaches have been developed to allow for a more realistic depiction of financial decision making. However, recent empirical analyses indicate that current theories still have limited power to explain large variances in capital structure across time. We provide an alternative explanation for the empirical observation by assuming that firms combine both capital structure targets and predetermined debt within future periods, and we show how to value a firm given such a partially active debt management. The approaches of Modigliani and Miller and Miles and Ezzell are embedded into a common valuation framework, with the familiar valuation formulas shown as special cases. In a simulation analysis, we illustrate that the textbook valuation formulas may produce considerable valuation errors if a firm applies a partially active debt management.     

Price competition in markets with customer testing: the captive customer effect

We introduce product differentiation into the analysis of price competition in markets where suppliers test customers in order to assess whether they will pay for received goods or services. We find that, if the degree of differentiation is sufficiently high, suppliers may improve the average probability that their clientele will pay by charging higher prices. This helps suppliers to sustain high prices in equilibrium. Moreover, endogenizing locations in product space, we demonstrate that the high price level can be implemented in a pure-strategy subgame-perfect equilibrium with a high degree of differentiation. This is in contrast to the original Hotelling model with linear travel costs where a pure-strategy subgame-perfect equilibrium fails to exist.     

Does the dispersion of unit labor cost dynamics in the EMU imply long-run divergence?

Using unit labor cost (ULC) data from Euro area countries as well as US States and German Länder we investigate inflation convergence using different approaches, namely panel unit root tests, cointegration tests and error-correction models. All in all we cannot reject convergence of ULC growth in EMU. However, country-specific deviations from the rest of the currency union are much more pronounced and much more persistent in Europe than in the US or Germany. This holds before and after the introduction of the common currency. Hence, asymmetric shocks in the future might take a long time to dissipate.     

Growth and inflation forecasts for Germany a panel-based assessment of accuracy and efficiency

We analyse forecasts of professional forecasters for Germany regarding the time span from 1970 to 2004. This novel panel data set renders it possible to assess the accuracy and efficiency of growth and inflation forecasts more efficiently than in previous studies. We argue that the forecasts are, on average, unbiased and weakly—but not strongly—efficient. Using model confidence sets suggested by Hansen et al. (2004), we find that, besides the effect of diverging forecasting dates, no other substantial differences in forecasting quality among forecasters exist. Nevertheless, on the basis of a direction-of-change analysis we argue that it is not always advisable to listen to the majority of forecasters.

Trading gains: terms-of-trade and real-exchange-rate effects

This paper considers alternative measures of a country's trading gains, i.e., the extra income that it earns (or loses) as the result of changes in the relative prices relevant for international trade, and which makes up the difference between real gross domestic product (GDP) and real gross domestic income (GDI). Looking at both the Laspeyres and the Törnqvist aggregation, we show that the trading gains really consist of two components, a terms-of-trade effect and a real-exchange-rate effect. Nearly all national statistical agencies, receiving no firm guidance from international organizations in this matter, merely consider the first effect, which suggests that the so-called trading-gain estimates they publish are incomplete and misnamed. Even more seriously, it implies that the corresponding measures of real GDI they derive are conceptually flawed. A straightforward way to circumvent these difficulties is to use the gross domestic final expenditure price index as deflator when computing real GDI and the trading gains. Some numerical estimates for Australia are provided as an illustration. The paper also identifies the underlying linear and Translog real GDI functions for which the Laspeyres and Törnqvist terms-of-trade and real-exchange-rate effects are exact.     

Utilising farm-level panel data to estimate climate change impacts and adaptation potentials

We combine farm accounting data with high-resolution meteorological data, and climate scenarios to estimate climate change impacts and adaptation potentials at the farm level. To do so, we adapt the seminal model of Moore and Lobell (2014) who applied panel data econometrics to data aggregated from the farm to the regional (subnational) level. We discuss and empirically investigate the advantages and challenges of applying such models to farm-level data, including issues of endogeneity of explanatory variables, heterogeneity of farm responses to weather shocks, measurement errors in meteorological variables, and aggregation bias. Empirical investigations into these issues reveal that endogeneity due to measurement errors in temperature and precipitation variables, as well as heterogeneous responses of farms toward climate change may be problematic. Moreover, depending on how data are aggregated, results differ substantially compared to farm-level analysis. Based on data from Austria and two climate scenarios (Effective Measures and High Emission) for 2040, we estimate that the profits of farms will decline, on average, by 4.4% (Effective Measures) and 10% (High Emission). Adaptation options help to considerably ameliorate the adverse situation under both scenarios. Our results reinforce the need for mitigation and adaptation to climate change.