A Distance-Based Consensus Model with Flexible Choice of Rank-Position Weights

In this paper we propose a preference aggregation procedure for those cases in which the decision-makers express their preferences by means of a ranking of alternatives. Among the most applied methods for this purpose are those inspired by the Borda–Kendall rule, which attach to each alternative an aggregated value of the votes received in the different rank positions, and those based on distance measures between individual and collective preferences, which look for the solution that maximizes the consensus. The main idea here is to integrate these two approaches. Taking into account that the information about the values of weights or utilities assigned to each rank position is imprecise, we propose an evaluation of the alternatives using that vector of weights that minimizes the disagreement between DMs. In order to solve the problem, mixed-integer linear programming models are constructed. Two numerical examples are examined to illustrate the applicability of the proposed procedure.     

ARE LAC COOPERATIVE AND COMMERCIAL BANKS SO DIFFERENT IN THEIR MANAGEMENT OF NON‐PERFORMING LOANS?

This paper assesses technical efficiency in the management of non‐performing loans (NPLs) in the Latin American and Caribbean (LAC) banking industry. To that end, Data Envelopment Analysis techniques are employed with data from the years 2013 to 2016 on a sample of 307 LAC cooperative and commercial banks. Our main contribution to existing literature is that differences of efficiency between cooperative banks and commercial banks are assessed as the result of the different capacities of their managers – managerial efficiency – and the so‐called programme efficiency, which represents differences in the technology used by these two categories of entities. Our principal result suggests that the technology used by cooperative banks in the management of NPLs is more efficient than the technology of commercial banks.     

Neural networks for estimating Macro Asset Pricing model in football clubs

The recent crisis caused by COVID-19 directly affected consumption habits and the stability sof financial markets. In particular, the football industry has been hit hard by this pandemic and therefore has more volatile stock prices. Given this new scenario, further research is needed to accurately estimate the value of the shares of football clubs. In this paper, we estimate an asset pricing model in football clubs with different compositions of risk nature using non-linear techniques of artificial neural networks. Usually, asset pricing models have been estimated with linear methods such as ordinary least squares. Our results show a precision higher than 90% for all the estimated models, which far exceeds those shown by linear methods in the previous literature. We find that the residual represents about 40% of the variance of the price-dividend ratio. Long-term risks follow in importance, and above all, the habit component and its behaviour in the face of changes. The importance of the residual component exists due to a low correlation between the asset price and consumer behaviour, but to a much lesser extent than that shown in previous studies. The estimation carried out with artificial neural networks, both the Deep Learning methods and especially the Quantum Neural Network, opens up new possibilities to estimate more efficiently the pricing of financial assets in the football industry.     

Is sustainable tourism an obstacle to the economic performance of the tourism industry? Evidence from an international empirical study

Sustainability has become an important strategic objective for tourism destinations worldwide. All analytical tourism competitiveness models make direct or indirect positive references to sustainability. It is accepted that sustainable tourism can reduce resource costs and help create market differentiation. Nevertheless, it has traditionally been considered that, short term, sustainability measures can reduce profitability and compromise competitiveness. Debates on the progress, implications, and practicality of sustainable tourism remain open. The relationship between economic sustainability, and environmental and sociocultural sustainability, is a central but largely unresearched area for tourism scholars, especially at the macro level. This study explores that difficult but essential area, using the World Economic Forum's empirical evidence from 128 countries, backed by the economic data search tool of the World Travel & Tourism Council. It demonstrates that progress in tourism sustainability does not affect a country's main economic tourism indicators in the short term, and does not constrain profitability and competitiveness. It also finds that sustainable tourism is not a luxury that only rich countries can afford, nor should it prevent development and perpetuate poverty in developing countries. An effective marketing and communication program about sustainable tourism is, however, found to be essential for economic success.     

Exploring the Role of CSR in the Organizational Identity of Hospitality Companies: A Case from the Spanish Tourism Industry

Recently, organizational identity is being given more attention than ever before in the business world. This notion has grown substantially in importance in the hospitality industry. Facing increased competition, hospitality companies are driven to project a positive image to their stakeholders. Therefore, these organizations have begun to develop new organizational identity programs as part of their strategies to achieve their desired identities. This study analyzes the role of corporate social responsibility in the definition of the Organizational Identity of these organizations, employing a qualitative research methodology based on an illustrative case study. Particularly, the authors analyze the case of Meliá Hotels International, a leading hotel company in Spain with a presence in 27 countries. The findings indicate that the company has formally integrated CSR into its strategy to align its actual identity with its desired and conceived identity in view of the critics in its local community. Moreover, the interest of the firm toward its stakeholders suggests that the company understands its conceived identity as an important link in understanding its organizational identity. This paper demonstrates that firm’s organizational identity is a set of several elements. When analyzing Meliá Hotels International’s identity, we see that the firm defines this concept as that which is most central, enduring, and distinctive about the organization. In this sense, the company appears to follow the vision-driven approach by referring to the organizational mission and vision statements, organizational philosophy, and core values as the basis of organizational identity.     

Investment Crowding‐Out and Labor Market Effects of Financialization in the US

This paper studies the impact of financialization on unemployment in the United States. We estimate a dynamic multi‐equation macro labor model including labor demand, labor suppy, wage‐setting, and capital accumulation equations. Financialization appears as a key determinant of capital accumulation which, in turn, is the transmission channel toward its unemployment effects. We conduct a series of counterfactual simulations where we quantify the macroeconomic consequences of the recent swings experienced by the financialization process. We find that it has had relevant unemployment effects in all periods considered, even in those where financial payments were not the main driver of capital accumulation. We also identify a structural change in the financialization process in the early 1980s, and find that it has caused USA unemployment to systematically fluctuate around 2 percentage points above what it would otherwise have done. We call for a reappraisal of the way financial markets work, and stress the vital need of preventing financial devices that result in productive investment crowding‐out.     

Face to face and telephone surveys in terms of sampling representativeness: a multidimensional analysis

This paper analyzes sample structure in a survey-based research project using both face-to-face and telephone survey techniques, at a time when the telephone survey has completely ousted the face-to-face survey; particularly in electoral studies. Multiple Correspondence Analysis is applied to the data from a political poll conducted prior to regional elections held in Spain’s Autonomous Community of Galicia in which half of the questionnaires were administered by telephone and the other half via face-to-face interview. Unlike other studies—that use a partial approach based on bivariate analysis—this one examines all the sociodemographic variables simultaneously.     

Overcoming failure in infrastructure risk governance implementation: large dams journey

There is ample recognition of the risk inherent in our very existence and modes of social organization, with a reasonable expectation that implementing risk governance will result in enhanced resilience as a society. Despite this, risk governance is not a mainstream approach in the infrastructure sector, regardless of the increasing number of peer-reviewed published conceptualizations, mature procedures to support its application, or public calls to cope with systemic risks in our modern societies. This paper aims to offer a different view on the issue of risk governance, with focus in the analysis of the root causes of its relatively low degree of implementation in the infrastructure sector. We later analyze the impact of such essential causes, which we have grouped and labeled as the ontology, the concerns, the anathemas, and the forgotten, in the specific field of large dams. Finally, we describe the journey toward risk governance in the specific field of large dams, thus supporting the ultimate objective of this paper to facilitate an evidence-based approach to successful risk governance implementation within and outside the dam sector.     

The Influence of Tourist Satisfaction on Tourism Expenditure in Emerging Urban Cultural Destinations

Satisfaction is an excellent predictor of tourist behavior, often used in marketing and destination management. This paper analyzes the extent to which tourist satisfaction influences tourism expenditure at the destination using a gamma regression model, based on the information obtained from 2967 surveys conducted in 14 emerging urban cultural destinations in Andalusia, Spain. The results obtained show that there is indeed a correlation between tourist satisfaction and tourism expenditure at the destination, and guide the implementation of specific policies by stakeholders in these destinations, in order to increase the economic impact generated by this activity.     

Multivariate risks and depth-trimmed regions

We describe a general framework for measuring risks, where the risk measure takes values in an abstract cone. It is shown that this approach naturally includes the classical risk measures and set-valued risk measures and yields a natural definition of vector-valued risk measures. Several main constructions of risk measures are described in this axiomatic framework. It is shown that the concept of depth-trimmed (or central) regions from multivariate statistics is closely related to the definition of risk measures. In particular, the halfspace trimming corresponds to the Value-at-Risk, while the zonoid trimming yields the expected shortfall. In the abstract framework, it is shown how to establish a both-ways correspondence between risk measures and depth-trimmed regions. It is also demonstrated how the lattice structure of the space of risk values influences this relationship. I. Molchanov supported by Swiss National Science Foundation Grant 200020-109217.