To post or not to post: social media sharing and sporting event performance

Social networks are becoming increasingly important for consumers, especially in the context of sport, where the service experience is highly intense. Few studies have combined subjective event performance variables and social network variables to analyze social network content sharing by sports practitioners. This article investigates the use of social networks in relation to sporting events. An empirical study examined the role of social network variables and sporting event performance variables in social media use. The sample consisted of 410 triathletes (72.2% male) aged between 18 and 66 years (mean 37.03 ± 8.62). Four analyses were performed using fuzzy‐set qualitative comparative analysis to examine the causes of sharing comments through social media, sharing photos and videos on social media, participant satisfaction, and word‐of‐mouth (WOM). The event's general image was a necessary condition in all cases. The combination of participants’ satisfaction and positive event image and the combination of social network use and positive event image lead to social network content sharing by athletes. The combination of positive event image and participant satisfaction leads to a positive WOM.     

El desempeño económico financiero y responsabilidad social corporativa Petrobrás versus Repsol

Alterations in the institutional environment, as a result of the markets integration process and the consequent alterations in stakeholders’ conduct are one of the important vectors of changes in companies’ behavior. In that context, in addition to their yields those companies happen to worry about their attitudes in relation to social and environmental factors. Thus, the corporate social responsibility (CSR) is seen as one more strategy to maintain or increase their income and to harness the enterprise development. The main purpose of this study is the verification of the existing relation between Social Responsibility and the economic and financial performance of two companies in the business of Petroleum, Gas and Bio-combustibles. The investigation was based on a comparison of social-environmental practices developed by Petrobras S/A (Brazil) and Repsol S/A (Spain). For the purpose of verification of the relation between social-environmental performance and the economic-financial one, a linear regression analysis was carried out.     

A STRUCTURAL RISK‐NEUTRAL MODEL FOR PRICING AND HEDGING POWER DERIVATIVES

We develop a structural risk‐neutral model for energy market modifying along several directions the approach introduced in Aïd et al. In particular, a scarcity function is introduced to allow important deviations of the spot price from the marginal fuel price, producing price spikes. We focus on pricing and hedging electricity derivatives. The hedging instruments are forward contracts on fuels and electricity. The presence of production capacities and electricity demand makes such a market incomplete. We follow a local risk minimization approach to price and hedge energy derivatives. Despite the richness of information included in the spot model, we obtain closed‐form formulae for futures prices and semiexplicit formulae for spread options and European options on electricity forward contracts. An analysis of the electricity price risk premium is provided showing the contribution of demand and capacity to the futures prices. We show that when far from delivery, electricity futures behave like a basket of futures on fuels.     

Building the Legitimacy of Whistleblowers: A Multi‐Case Discourse Analysis

Evidence suggests that society still does not view whistleblowers as wholly legitimate—despite legal protections now offered in some jurisdictions, such as the United States. Drawing on a discourse analysis (i.e., an examination of statements), we investigate the well‐publicized stories of seven whistleblowers from 69 sources, including books, first‐ and second‐hand interviews, websites, and videos. Our focus is to examine how whistleblower discourses can build legitimacy by more tightly defining the whistleblower role and demonstrating its alignment with social norms. Using whistleblower self‐narratives, we identify four narrative patterns: (i) Trigger(s)—the event(s) leading to whistleblowing; (ii) Personality traits—whistleblower's morality, resourcefulness, and determination; (iii) Constraints—barriers requiring regulatory and organizational change; and (iv) Consequences—the longer term positive impact of the whistleblowing act. These patterns rely on symbolic, analogical, and metaphorical framing to allow others to better understand the role of whistleblowers and enlist their support. Exploring a data set of 1,621 press articles, we find indications that these narrative patterns resonate in the media—which provide a form of support and may be instrumental in legitimizing the whistleblower role. Grounded on these results, we develop a legitimacy construction model of the whistleblower role, that is, a representation of how role legitimacy is produced and sustained. From this model, we identify a number of important areas for future research.     

Equilibrium price formation in markets with differentially informed agents

We consider a pure exchange economy with a finite set of types of agents which have incomplete and asymmetric information on the states of nature. Our aim was to describe the equilibrium price formation and analyze how the lack of information may affect the allocation of resources. To do so, we adapt to an asymmetric information scenario a variant of the Shapley–Shubik game introduced by Dubey and Geanakoplos (J Math Econ 39:391–400, 2003 ).     

R&D Subsidies,Spillovers, and Privatization in Mixed Markets

We examine the use of subsidies to research and development (R&D) in a mixed and a private duopoly market. We show that the socially optimal R&D subsidy is increasing in the degree of spillovers, but it is lower in the private duopoly. The optimal R&D subsidy leads to an increase in total R&D and production; however, it does not lead to the equalization of per firm output and therefore to an efficient distribution of production costs. We also find that privatization of the public firm reduces R&D activity and welfare in the duopoly market. This result stands even when optimal R&D subsidies are provided.     

THE BIAS OF THE MULTIPLIER MATRIX WHEN SUPPLY AND USE TABLES ARE STOCHASTIC

The literature on stochastic input–output (I–O) analysis has paid considerable attention to the bias in the Leontief inverse. This paper extends previous studies by assuming supply and use tables (SUTs rather than I–O tables or input coefficients matrices) to be stochastic. This is a natural starting point because SUTs have become the basic data sources for I–O applications. In a Monte Carlo simulation experiment, a given SUT is randomized in two different ways and the effects are determined for eight different multiplier matrices. The analysis is carried out for Spain, Italy, the Netherlands, Germany and Finland, using their SUTs for 2006. The findings indicate that, in general, biases are statistically significant but negligibly small. This corroborates earlier findings obtained for stochastic I–O tables.     

The contribution of social tourism to sustainable tourism: a case study of seasonally adjusted programmes in Spain

Recent policy from the European Union has attempted to justify social tourism initiatives on the basis that they lead to a more sustainable tourism industry. However, the majority of latest research in the field has been focused on the benefits for participants, with the addition of some evidence on the economic impacts of such programmes on destinations, which have pointed towards sustainability outcomes including: a longer tourism season, more even spread of demand, and longer periods of employment for tourism workers. Yet there is a lack of direct evidence linking such programme to these outcomes. This paper aimed to explore this important disconnect between policy assumptions and evidence-based outcomes through an analysis of the deseasonalising effects of the Spanish social tourism programme for older people. The research found that this programme does have an effect on the seasonal nature of employment and economic activity in most regions studied, but that the huge volume of demand from international tourists in the high seasons masks the quantitative effects in the regions with the highest seasonal concentration of international tourists. Recommendations for policy and practice in sustainable tourism are made that are transferable to many countries and regions that adopt social tourism programmes.     

Farms’ technical inefficiencies in the presence of government programs*

We focus on determining the impacts of government programs on farms’ technical inefficiency levels. We use Kumbhakar's stochastic frontier model that accounts for both production risks and risk preferences. Our theoretical framework shows that decoupled government transfers are likely to increase (decrease) DARA (IARA) farmers’ production inefficiencies if variable inputs are risk decreasing. However, the impacts of decoupled payments cannot be anticipated if variable inputs are risk increasing. We use farm‐level data collected in Kansas to illustrate the model.     

Evolving splines and seasonal unit roots in weekly agricultural prices

The univariate statistical properties of agricultural price series need to be examined as a first step in the analysis of price transmission mechanisms. However, in the case of weekly price series, increasingly available, the testing procedures usually applied in this step are not suitable to deal with evolving seasonal effects. In this study, a method of testing for seasonal unit roots in weekly series of agricultural prices is described. When the deterministic seasonal component does not remain constant over time, the restricted evolving spline model (RESM) is shown to be a useful parametric formulation to capture the deterministic seasonal pattern. Therefore, the RESM model should be included as a deterministic component in auxiliary regression for unit root tests at seasonal frequencies. This proposal is applied to three weekly series of Canary Islands banana prices. From the standard seasonal unit root tests, the null hypothesis is failed to be rejected at the 5% or 10% significance level at some seasonal frequencies for each one of the series. Once critical values are obtained by simulation exercises when the RESM model is included, the hypotheses of unit root are rejected at each one of the seasonal frequencies for all of the three series.