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Despite measurement difficulties, several studies have recognized the importance of corporate social responsibility (CSR) as a tool to promote sustainability. The aim of this paper is to design a model to measure the implementation of CSR practices in hotels in two well-known tourist regions, namely the Algarve in Portugal and the Costa del Sol in Spain. To do this, a Delphi method was applied: 16 experts from the two regions were asked to quantify the desirability of implementing 32 CSR practices in three areas: environmental, social, and economic. As a result, a three-dimensional model was constructed to provide a quantitative overview of the hotel industry's commitment to and preferences in implementing CSR practices. Despite the high level of consistency between the two groups, statistically significant differences were found in the priority assigned to four CSR practices.

Purpose This study aims to examine variables influencing resort hotels’ survival in Spain, which had not previously been analysed. In this country, determining whether the reasons resort hotels close are different from other hotels could be imperative to resort hotels’ survival. Design/methodology/approach The survival analysis used Cox’s semi-parametric proportional hazards regression to determine which variables influence hotel closure and how much each variable increases risk of closure. Findings Resort hotel closure depends on hotel size, location, executive management and the business cycle. Survival is not affected by hotel type or financial structure. Research limitations/implications While this methodology is common in business survival analyses, it has seldom been applied to hotels and has never been used to study the survival of resort hotels. Practical implications Companies need to rethink the location of new hotels. For already-built facilities, good management practices are strategically important for resort hotels’ survival. Originality/value This paper explores the reasons why resort hotels survive. The study’s selection of variables and methodology and its conclusions are unique.

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