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| 1 |
ID:
183082
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| Summary/Abstract |
In this paper, we compare the total energy consumption of households living in green certified buildings with households living in conventional buildings based on the example of the Swiss Minergie label. For this purpose, we estimate an econometric total energy demand model using a panel data set comprised of around 1500 households observed over the years 2010–2015. The empirical analysis provides suggestive evidence that households living in green certified buildings save approximately 25% of total energy. The estimated energy savings are lower than predicted by engineering-based bottom-up models that are not considering energy consumption behavioral factors. Nevertheless, our result suggests that savings in energy use and associated emissions of greenhouse gases (and other pollutants) may benefit from energy policy measures such as public information campaigns or subsidies that promote the construction of green certified buildings. Furthermore, since policy scenarios are usually based on ex-ante energy reduction projections, it is important to consider that the energy savings predicted tend, at least for the building sector, to be higher than they actually are. This difference may therefore impact the scenarios and thus the energy policy measures to be implemented.
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| 2 |
ID:
132643
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2014.
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| Summary/Abstract |
The promotion of energy efficiency is seen as one of the top priorities of EU energy policy (EC, 2010). In order to design and implement effective energy policy instruments, it is necessary to have information on energy demand price and income elasticities in addition to sound indicators of energy efficiency. This research combines the approaches taken in energy demand modelling and frontier analysis in order to econometrically estimate the level of energy efficiency for the residential sector in the EU-27 member states for the period 1996 to 2009. The estimates for the energy efficiency confirm that the EU residential sector indeed holds a relatively high potential for energy savings from reduced inefficiency. Therefore, despite the common objective to decrease 'wasteful' energy consumption, considerable variation in energy efficiency between the EU member states is established. Furthermore, an attempt is made to evaluate the impact of energy-efficiency measures undertaken in the EU residential sector by introducing an additional set of variables into the model and the results suggest that financial incentives and energy performance standards play an important role in promoting energy efficiency improvements, whereas informative measures do not have a significant impact.
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| 3 |
ID:
094915
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2010.
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| Summary/Abstract |
The electricity generation in Switzerland is mainly based on hydropower (55% of total production). The exploitation of water in the hydropower sector can generate significant so-called resource rents. These are defined by the surplus return above the value of capital, labor, materials, and energy used to exploit hydropower.
In Switzerland, hydropower producers pay to the State a fixed fee per kW gross capacity. With this system the substantial differences in costs, revenues and in the production characteristics of the hydropower plants are not taken into account.
In this context, the following paper has two main goals: (1) to discuss the introduction in the Swiss hydropower sector of a new payment system based on a resource rent tax; (2) To propose a combination of a RRT system with a benchmarking analysis of the production cost obtained through the estimation of a stochastic frontier variable cost function.
We estimate a true random effects stochastic frontier variable cost function using panel data in order to overcome the asymmetric information problem. In addition, using the information on cost efficiency of the single companies, we show how to introduce in the RRT scheme a benchmark system which gives incentives to minimize the production costs.
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| 4 |
ID:
127198
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2014.
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| Summary/Abstract |
This paper studies the cost structure of Swiss gas distribution utilities. Several econometric models are applied to a panel of 26 companies over 1996-2000. Our main objective is to estimate the optimal size and scale economies of the industry and to study their possible variation with respect to network characteristics. The results indicate the presence of unexploited scale economies. However, very large companies in the sample and companies with a disproportionate mixture of output and density present an exception. Furthermore, the estimated optimal size for majority of companies in the sample has shown a value far greater than the actual size, suggesting remarkable efficiency gains by reorganization of the industry. The results also highlight the effect of customer density on optimal size. Networks with higher density or greater complexity have a lower optimal size
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| 5 |
ID:
109612
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2011.
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| Summary/Abstract |
This paper presents an empirical analysis on the residential demand for electricity by time-of-day. This analysis has been performed using aggregate data at the city level for 22 Swiss cities for the period 2000-2006. For this purpose, we estimated two log-log demand equations for peak and off-peak electricity consumption using static and dynamic partial adjustment approaches. These demand functions were estimated using several econometric approaches for panel data, for example LSDV and RE for static models, and LSDV and corrected LSDV estimators for dynamic models. The attempt of this empirical analysis has been to highlight some of the characteristics of the Swiss residential electricity demand. The estimated short-run own price elasticities are lower than 1, whereas in the long-run these values are higher than 1. The estimated short-run and long-run cross-price elasticities are positive. This result shows that peak and off-peak electricity are substitutes. In this context, time differentiated prices should provide an economic incentive to customers so that they can modify consumption patterns by reducing peak demand and shifting electricity consumption from peak to off-peak periods.
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