The Role of the Judiciary in the Public Decision‐Making Process

Empirical work on the relationship between political corruption and the design of public institutions suggests that the structure of judiciaries is an important determinant of corruption. This study develops a simple political economic model to investigate the role of judicial oversight in the policy‐making process for corruption deterrence, focusing on two dimensions of quality of the judiciary, namely efficiency and integrity. Our analysis explicitly accounts for the possibility that, while being independent of the political authority, the judiciary itself may be vulnerable to pressure from special interests. We study endogenous policy‐making under complete information and provide general conditions for the existence of deterrence (zero‐bribe) equilibria. In particular we show that preserving the independence of judiciaries in corrupt societies proves crucial to the existence of corruption‐deterrence effects.     

Firm Opacity Lies in the Eye of the Beholder

We classify and test empirical measures of firm opacity and document theoretical and empirical inconsistencies across these proxies by testing the relative opacity of banks versus non‐banks. We evaluate the effectiveness of these proxies by observing the effect of two cleanly identified shocks to firm‐specific information: credit rating initiation and inclusion in the S&P 500 index. Using a difference‐in‐difference approach, we compare firms that are newly rated and firms that are included in the S&P 500 index with a propensity matched sample of “unchanged” firms. We find that only the number of analysts and Amihud's illiquidity ratio provide consistent patterns across different estimation specifications and different econometric settings. These two proxies show that banks are more opaque than non‐banks. Based on our tests, we recommend that these proxies be used as the primary measures of firm opacity.     

Structural comparisons of networks and model-based detection of small-worldness

In this paper, we consider the problem of assessing the “level of small-worldness” of a graph and of detecting small-worldness features in real networks. After discussing the limitations of classical approaches, based on the computation of network indicators, we propose a new procedure, which involves the comparison of network structures at different “observation scales”. This allows small-world features to be caught, even if “hidden” deeply into the network structure. Applications of the procedure to both simulated and real data show the effectiveness of the proposal, also in distinguishing between different small-world models and in detecting emerging small-worldness in dynamical networks.     

The relevance of the tangible and intangible social impacts of tourism on selected South African communities

Most tourism social impact studies emphasise tangible social impacts such as economic improvement. In developing countries such as South Africa, a small percentage of tangible benefits filter down to community level. This creates a problem as various studies revealed the importance of community support for the sustainability of the tourism industry. Therefore it was important to explore the role of both the tangible and the intangible social impacts of tourism. Communities with established tourism industries (Clarens, Soweto and Jeffreys Bay) formed part of the quantitative research. Through exploratory factor analyses, 31 social impact statements could be categorised into four tangible and two intangible impacts. The tangible factor Economic improvement obtained a low rating, meaning that it was not directly experienced by residents, while the intangible factor Community pride and upliftment obtained the highest rating among all factors. This, together with the fact that community members continue their support for the tourism industry, is a novel find, indicating the significant role of intangible social impacts in fostering community support. This finding shows the importance of incorporating intangible social impacts into tourism planning in developing countries. Contributions are made towards social impact research methodology and literature.     

Transformational tourism as a hero's journey

Transformational tourism is an emerging form of tourism that deserves better attention from researchers and reviewers. This article provides a better understanding of the phenomenon, its varieties and its different stages, drawing on the metaphor of Campbell's archetypical journey of transformation: hero's journey. Using a phenomenological approach, the article tries to shed some light upon the conditions of the touristic experiences that foster transformation. Eight factors were identified: personal situation, being away doing unfamiliar activities, interaction with people, live the moment, difficulty, setting, reflection and integration. The three stages of the hero's journey (departure, initiation and return) are subsequently applied to describe the transformative travel process. The paper concludes with implications for research and professional practice.     

Long waves in prices: new evidence from wavelet analysis

In this paper we apply wavelet analysis to study the dynamics of long-term movements in wholesale prices for the USA, the UK and France over the period 1791–2012. The application of wavelet analysis to long-term historical price series allows us to detect long waves in prices whose periodization is remarkably similar to those provided in the literature for the pre-World War II period. Moreover, we find evidence on the existence of long waves in prices also after World War II, a period in which long waves are generally difficult to detect because of the positive trend displayed by prices. The comparison between the long wave components extracted through wavelets and the Christiano–Fitzgerald band-pass filter suggests that wavelets provide a reliable and straightforward technique for analyzing long waves dynamics in time series exhibiting quite complex patterns such as historical data.     

Crowding,satiation, and saturation: The days of television series' lives

The performance of firms depends not just on the structure of the industries in which they compete but also on their relative positioning within those industries, in terms of operating within particular niches. We propose that demand for these niches depends endogenously on the historical ecology of the products offered: Niches become saturated—reduced in their ability to support products—as a large number of previous offerings allows the audience to satisfy its desire for products of a particular type. Analyzing the survival rates of television series aired in the United States from 1946 to 2003, we found that the survival rates of future entrants fell with the extensiveness of recent offerings in the niche, and that the negative association between crowding and survival also weakened with this saturation. Copyright © 2014 John Wiley & Sons, Ltd.     

Telecom reforms in the EU: Prices and consumers' satisfaction

The paper shows the impact of privatization and liberalization on consumers in the telecommunication sector for 15 EU countries. Policy reforms are summarized by the OECD regulatory indicators (REGREF) that consider the extent of privatization, vertical disintegration, and market entry. After controlling for other country variables, first, a test of the impact of ownership and regulatory changes on consumer prices is given. In the second step, the Eurobarometer data on consumers' satisfaction about quality and prices of the telecommunication service are considered. The analysis confirms the importance of market regulation in reducing prices but minimizes the role played by privatization per se. Overall, the findings offer only mixed evidence, and somehow contradict, the hypothesis that all the reforms work in a similar way across the EU countries.     

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.     

Sorry Winners

Bidders who receive both “common-value” and “private-value” signals about the value of an auction prize cannot fully infer their opponents’ information from the bidding. So bidders may overestimate the value of the prize and, subsequently, regret winning. When multiple objects are on sale, bidding in an auction provides information relevant to the other auctions, and sequential auctions are more vulnerable to overpayment and winners’ regret than are simultaneous auctions. With information inequality among bidders, the seller’s revenue is influenced by two contrasting effects. On the one hand, simultaneous auctions reduce the winner’s curse of less informed bidders and allow them to bid more aggressively. On the other hand, sequential auctions induce less informed bidders to bid more aggressively in early auctions to acquire information.