Wind power planning in France (Aveyron), from state regulation to local planning

The development of wind energy in France presents an exemplary case of contrast between the policy instrument and its effectiveness in terms of installed wind power capacity. After 7 years of one of the highest feed-in tariffs in the world, the installed capacity in France is still very low. This is notably due to a diffuse pattern of administrative landscape protection which impacts on the construction of wind power potential. In turn, the pace of wind power development can be understood only by looking in more detail at the way in which landscape is dealt with in local planning processes. This paper examines the question using the case of Aveyron in southern France. We follow the shifting ways in which landscape is enrolled in wind power planning, in a context where new planning instruments favor an incipient decentralization in wind power policy. The case points to a change in both the networks and the concepts involved in the design of landscape representations that underlie the construction of wind power potential. We show that this change has been forced by the far-reaching and decentralized visual impacts of wind power technology, suggesting that technology is recomposing the social as part of its development process and questioning the very meaning and perception that is given to landscape.     

Rationalizable implementation

We consider the implementation of social choice functions under complete information in rationalizable strategies. A strict version of the monotonicity condition introduced by Maskin is necessary under the solution concept of rationalizability. Assuming the social choice function is responsive, i.e. in distinct states it selects distinct outcomes, we show that strict Maskin monotonicity is also sufficient under a mild “no worst alternative” condition. In particular, no economic condition is required. We discuss how our results extend when the social choice function is not responsive.     

Value creation,competition, and performance in buyer‐supplier relationships

The value‐based approach to strategy argues that a firm's ability to capture value depends on the extent of its added value. In this paper, I empirically test the link between added value and value capture using a longitudinal dataset of United Kingdom law firm performance, capabilities, and client relationships. In this setting, competitors relevant for defining a firm's added value are those that share a client with the firm. Further, within a client relationship, value creation, and hence added value, can be decomposed in two parts: product‐line capability and client‐specific scope economies. I find that added value, measured at the level of each buyer‐supplier relationship, is a driver of relationship stability and supplier profitability. This suggests that suppliers with similar capabilities might enjoy different economic returns depending on the composition of their set of relevant competitors. These findings shed light on the conditions under which firms can appropriate returns from their capabilities. They indicate that concepts from cooperative games can be fruitfully applied to empirical studies of firm performance and to the elaboration of insights from the resource‐based view of the firm. Copyright © 2010 John Wiley & Sons, Ltd.     

Back to the basics in banking? A micro-analysis of banking system stability

This paper analyzes the relationship between banks’ divergent strategies toward specialization and diversification of financial activities and their ability to withstand a banking sector crash. We first generate market-based measures of banks’ systemic risk exposures using extreme value analysis. Systemic banking risk is measured as the tail beta, which equals the probability of a sharp decline in a bank’s stock price conditional on a crash in a banking index. Subsequently, the impact of (the correlation between) interest income and the components of non-interest income on this risk measure is assessed. The heterogeneity in extreme bank risk is attributed to differences in the scope of non-traditional banking activities: non-interest generating activities increase banks’ tail beta. In addition, smaller banks and better-capitalized banks are better able to withstand extremely adverse conditions. These relationships are stronger during turbulent times compared to normal economic conditions. Overall, diversifying financial activities under one umbrella institution does not improve banking system stability, which may explain why financial conglomerates trade at a discount.     

Interest rate expectations and uncertainty during ECB Governing Council days: Evidence from intraday implied densities of 3-month EURIBOR

This paper analyses changes in short-term interest rate expectations and uncertainty during ECB Governing Council days. For this purpose, it extends the estimation of risk-neutral probability density functions up to tick frequency. In particular, the non-parametric estimator of these densities, which is based on fitting implied volatility curves, is applied to estimate intraday expectations of 3-month EURIBOR 3 months ahead. Estimates of the noise impact on the statistical moments of the densities enhance the interpretation. In addition, the paper assesses the impact of the ECB communication during Governing Council days. The results show that the whole density may react to the communication and that such repositioning of market participants’ expectations will contain information beyond that of changes in the consensus view already observed in forward rates. The results also point out the relevance of the press conference in providing extra information and triggering an adjustment process for interest rate expectations.     

International bailouts, moral hazard and conditionality

The large international bailouts of the 1990s have been criticized for generating moral hazard at the expense of the global taxpayer. We argue that this criticism is misleading because international bailouts create no, or very few, costs to the international community. Instead, the problem is to ensure that bailouts are not used to facilitate bad domestic policies, thus creating moral hazard at the expense of domestic taxpayers. This may require a shift towards ex ante conditionality, in the sense that the availability and size of official crisis lending need to be conditional on government policies before the crisis.     

Folksonomies: Spontaneous crowd sourcing with online early detection potential?

This article focuses on the analysis of this distributed, heterogeneous, open and continuous production of “data about data” and its possible contribution to early detection objectives. It assesses whether the related processes of open classification and free annotation could provide promising results not only for information retrieval goals, which they are meant for, but also for detecting weak signals of incoming changes.     

Solving the incomplete markets model with aggregate uncertainty using parameterized cross-sectional distributions

This note describes how the incomplete markets model with aggregate uncertainty in Den Haan et al. [Comparison of solutions to the incomplete markets model with aggregate uncertainty. Journal of Economic Dynamics and Control, this issue] is solved using standard quadrature and projection methods. This is made possible by linking the aggregate state variables to a parameterized density that describes the cross-sectional distribution. A simulation procedure is used to find the best shape of the density within the class of approximating densities considered. This note compares several simulation procedures in which there is—as in the model—no cross-sectional sampling variation.     

Locating fire stations: An integrated approach for Belgium

This paper illustrates the potential of a decision-support system developed for Belgium by a consortium of universities and a private firm, in the framework of a public call made by the Ministry of the Interior. The system is designed to provide the Belgian emergency management administration with a complete decision-aid tool for the location of fire stations. The originality of the project is that it includes a risk-modeling approach developed at a national scale. This analysis involves a multiscale GIS that includes a thorough representation of the physical, human and economic spatial realities, a risk-modeling approach, an adequate optimal location and allocation model (taking into account both queuing and staffing problems). The final result is an interactive operational tool for defining locations, equipment allocations, staffing, response times, the cost/efficiency trade-off, etc. This flexible tool can be used in an assessment as well as a prospective context. It has been used to draw a national reorganization plan for fire stations that started being implemented in 2010.