This study investigates the impacts of economic, social and environmental sustainability practices of companies in the hospitality supply chain on consumers' satisfaction, loyalty and willingness to pay higher prices. Utilising data collected from 288 tourists visiting south Sardinia, the study indicates that while economic sustainability practices have positive impacts on consumers' satisfaction, loyalty and willingness to pay a premium, sustainability practices related to environmental and social dimensions have a direct positive impact on satisfaction and an indirect positive impact on consumer loyalty and willingness to pay a premium. Additionally, findings reveal that satisfaction is likely to mediate the impact of environmental and social sustainability practices on the loyalty of consumers. The theoretical and managerial implications of the study are provided.

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In this article, we investigate the role of local factors associated with the financial literacy of Italian adults (no. 945). Using a multilevel regression model, together with the common socioeconomic and sociodemographic variables already used in previous studies, we also add certain environmental variables at the local level. We separately analyze the three indexes that define the OECD financial literacy index—Financial Attitude Index (FAI), Financial Knowledge Index (FKI), and Financial Behavior Index (FBI)—because they show a dynamic of their own in each region. Our findings confirm that the FKI and the FAI are associated to some extent with environmental traits, while the FBI is not. We conclude that not only the sociodemographic and socioeconomic conditions of individuals but also certain features of the regional context where they live have an impact on their financial literacy. Consequences for financial education programs are highlighted.

The European Tourism Indicators System (ETIS) is a product of the European Union (EU) Sustainable Development Strategy, which was formulated with the objectives of promoting economic prosperity, social equity, cohesion, and environmental protection. In this paper, we present an analysis of the results of the implementation of the ETIS during the period 2013–2016, in the Italian tourist destination of South Sardinia. While the implementation of ETIS constitutes a significant advancement in Italy, and more widely in Europe, our findings reveal that an adaptive management approach is necessary for achieving the anticipated objectives and adapting these standardized indicators to different territorial contexts. Difficulties were encountered in both data collection and stakeholders’ involvement in the implementation process. Insufficient knowledge, and familiarity with the complex technical aspects of the indicator toolkit among primary stakeholders, was another constraint associated with its implementation. We believe that the findings of this analysis can provide guidelines and inputs for other European countries and tourist destinations that are currently in the process of implementing the ETIS toolkit or similar methodologies. In particular, the pioneering sustainable tourism performance measurement system (STPMS) can be adapted to meet local needs.

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Although the kurtosis index proposed by Karl Pearson in 1905 is introduced in statistical textbooks at all levels, the measure is not easily interpreted and has been a subject of considerable debate. In this study, the theoretical development of kurtosis is surveyed from a historical perspective of Pearson's work on evolution. It surprisingly emerges that there was no emphasis in Pearson's papers on kurtosis as measuring (in part) tail heaviness. However, it is found that Pearson used to frequently adjust the formalisation of kurtosis depending on his changing needs. This complex development partly explains the confusion that would surround kurtosis in subsequent literature. Our conclusion is that most misunderstandings arise from improper use of the kurtosis coefficient outside the Pearson system of frequency curves. Copyright (c) 2009 The Authors. Journal compilation (c) 2009 International Statistical Institute.

Coxian phase-type distributions are a special type of Markov model that can be used to represent survival times in terms of phases through which an individual may progress until they eventually leave the system completely. Previous research has considered the Coxian phase-type distribution to be ideal in representing patient survival in hospital. However, problems exist in fitting the distributions. This paper investigates the problems that arise with the fitting process by simulating various Coxian phase-type models for the representation of patient survival and examining the estimated parameter values and eigenvalues obtained. The results indicate that numerical methods previously used for fitting the model parameters do not always converge. An alternative technique is therefore considered. All methods are influenced by the choice of initial parameter values. The investigation uses a data set of 1439 elderly patients and models their survival time, the length of time they spend in a UK hospital.