This study analyses the impacts of environmental amenities associated with agricultural and silvicultural land use on the price of rural tourism accommodation in Asturias (Spain). A hedonic price model that relates the price of rural accommodation to environmental amenities as well as equipment, services offered, and the locational characteristics of the accommodation is estimated. The rural accommodations in the study are the self-catering cottages, the intrinsic features of which promote the development of rural tourism sustainability. Geographic information systems (GIS) data are used to measure the location and the proximity to amenities of these self-catering cottages. The main results indicate that agricultural land use has an important impact on the price of accommodation in self-catering cottages. Specifically, a high percentage of grassland in the municipality where the self-catering cottage is sited has a positive effect on rental prices, while a high percentage of arable crops has the opposite effect. The analysis is interesting for decision-making in the context of environmental policies, land use conflict resolution, and rural tourism sustainability.

This article contributes to the debate about whether the investment in tourism sustainability is economically profitable for firms. Specifically, using cross-sectional analysis, we explore the existence of a causal link between the possession of a voluntary sustainable certification, Eco-Management and Audit Scheme (EMAS), and the increase in the prices of hotel accommodation. For this, the hedonic price method is used. Prior to the hedonic estimation, the propensity score-matching methodology is applied in order to control for self-selection bias. The analysis is carried out for coastal hotels located in the southern area of Tenerife (Canary Islands, Spain) which merits attention as a typical mature sun and beach tourist destination. The study does not reveal any significant effects of sustainable certification on the prices of accommodations, which would appear to explain the low participation of establishments in the program. We conclude by providing some useful insights on measures aimed at improving related policies.

In this paper a multi-criteria decision-making (MCDM) method is developed to rank a set of insurance companies. The proposed method is based on combining two MCDM methods: Extended Best–Worst (EBW) and Multiple Reference Point (MRP) methods. We formulate the problem of finding a priority vector from a set of interval pairwise comparisons applying an EBW method which allows the decision maker (DM) to use interval values in order to describe the relative importance of one criterion over another. The EBW method, using fuzzy set theory, can successfully handle the vagueness and ambiguity present in the judgments. Lastly, the MRP method is employed to obtain an overall score for each company using the weights established at the first stage. A case study is presented to rank Spanish non-life insurance companies based on the constructed model. Since the evaluation of insurance companies involves a great number of indicators, it is a complex MCDM issue. The results show the effectiveness of the proposed method and offer an insightful reference for an evaluation of the insurance industry.