Exploring the impacts of local development initiatives on tourism: A case study analysis.

This study investigates the intricate relationship between local development initiatives and tourism, with a specific focus on their impacts. By utilizing input-output matrices and a survey-based vector of tourist expenditure, we calculate both direct and indirect effects using accounting multipliers. The study assesses the potential return on investment and the generation of future income resulting from a 2.3 million euros investment. Our findings illuminate the predominantly positive impacts of local development initiatives on tourism. We underscore the importance of strategic planning, community engagement, and sustainable practices in optimizing the benefits and addressing potential challenges associated with local development for tourism. While this research primarily emphasizes the positive aspects, it recognizes the need for a nuanced understanding of the multifaceted impacts. This study contributes to the existing literature by providing a comprehensive analysis of the intricate relationship between local development and tourism. The study's practical insights and recommendations are valuable for policymakers, local communities, and tourism stakeholders, guiding them toward adopting sustainable and inclusive development strategies that maximize the positive impacts of tourism.

Waste Management: Valorisation Is the Way.

Waste management is one of the great problems in the world today. This study aims to analyse how scientific research has evolved in recent years in the field of waste management and what will be the key issues in the coming years, mainly in terms of recovery. The methodology used was longitudinal bibliometric analysis through scientific mapping using strategic maps and thematic networks. Among the findings, it was confirmed that the concept of incineration is fading due to social opposition and is changing to a much broader concept that encompasses it, such as valorisation. Being able to create a circular economy without waste should be the goal of policy makers. To achieve this, the waste hierarchy must be respected, which indicates that waste must be managed in this order: prevention, minimisation, reuse, valorisation, recovery and elimination.

From Quantifying to Managing Food Loss in the Agri-Food Industry Supply Chain.

The significant contradiction of food waste and food insecurity that preoccupies society today is growing increasingly important. It is estimated that one-third of all food produced globally is either lost or wasted. In a world where almost one billion people are hungry, reducing food loss and waste is critical to creating a world with zero hunger and achieving the Sustainable Development Goals by ensuring sustainable consumption and production patterns. This study analyses how scientific research concerning food loss has evolved in recent years, with a focus on the supply chain of agri-food companies. Bibliometric techniques were used to analyse a sample of 181 publications from journals indexed in the Web of Science from 2012 to 2021. The obtained results show a growing interest in this topic and a clear concern for the management and prevention of food loss. An important conclusion is that a holistic approach from a supply chain perspective is needed to devise food loss reduction strategies focusing future lines of research on stakeholder collaboration, the circular economy and related regulatory changes. The study has implications for entrepreneurs and decisionmakers due to the effect that a reduction in food loss has on business strategies, as well as for policymakers in order to create updated food safety and quality regulations.

Eco-efficiency assessment of municipal solid waste services: Influence of exogenous variables.

Improving the eco-efficiency of municipalities in the provision of municipal solid waste (MSW) services is fundamental in the context of a circular economy. This study evaluates the eco-efficiency of a sample of Spanish municipalities, integrating the total cost as input, recyclable waste as desirable output, and unsorted waste as undesirable output. Following a pioneering approach, the weighted Russell directional distance model (a non-radial data envelopment analysis model) was employed, which allowed us to obtain a global inefficiency score and individual inefficiency scores for each variable integrated in the model. In the second stage of analysis, the potential factors affecting the previously computed inefficiency scores were investigated. The results indicated that one third of the municipalities evaluated were eco-efficient in the provision of MSW services with the total cost being the variable in which the municipalities exhibited the best performance. Moreover, the size of the municipalities, population served, population density, tourism, and availability of containers for separative collection of paper, glass, and plastic significantly affect the eco-efficiency of the municipalities. The findings of this study provide detailed information to support decision-making for the policy makers to improve the eco-efficiency of the municipalities in managing MSW.

Validation of a Satisfaction Questionnaire on Spa Tourism.

The authors' line of research is within the existing methodological debate around the concepts of quality of services, destinations, and quality measurements methods. The authors consider that the most appropriate way to measure quality is to develop instruments according to the destination and context in question, defining the quality of the tourist destination for practical purposes based on the satisfaction experienced by the tourist or the SERVPERF model, weighted and used to measure the quality of sun and beach tourist destinations. The authors of this work propose the knowledge of spa tourism, its quality and its level of satisfaction as a research gap and consider it as a starting point to validate a questionnaire that would allow the measurement and comparison of parameters with other segments already studied and that can also serve as a measuring instrument for tourist segments with similar characteristics, not as well known in the international literature as inland, ecological or nature tourism. Good internal reliability results were obtained in all items and in all dimensions. The factor analysis distributed the weights of the variables in the theoretical model, and construct validity was obtained with an association between the global evaluation by dimension and the general significance. The score of the main questionnaire was statistically significant.

Challenges of Spa Tourism in Andalusia: Experts' Proposed Solutions.

Water is the common thread and attraction factor of the tourism facilities called "spas", which are part of health and beauty services. Spa use is currently experiencing a boom that reflects changes in populations, such as an increase in economic wellbeing and a desire to reunite with nature. This research's objectives were to understand spa tourism's structural and operational dimensions and to assess this sector's current situation by using the Delphi method with a panel of 22 experts. The results show that these experts believe that, in Andalusia, spas energize the area as a tourism destination through their natural resources and conservation of key elements. However, spa development policies are scarce, including a lack of autonomous community laws regarding these facilities.

Measuring the eco-efficiency of wastewater treatment plants under data uncertainty.

Eco-efficiency assessment is a useful tool for improving the sustainability of wastewater treatment plants (WWTPs). However, it is a complex task that requires the integration of several performance indicators into a single index. Data envelopment analysis (DEA) is established as a highly effective methodology for achieving this as it permits the integration of the service value, resource consumption and environmental impact variables as the desirable outputs, inputs and undesirable outputs, respectively. However, traditional DEA models omit uncertainties in the data that are likely to result in biased conclusions. This study pioneers the assessment of the eco-efficiency of WWTPs while accounting for the data uncertainty and integrating the greenhouse gas emissions as an undesirable output. The DEA-tolerance model was applied to compute the eco-efficiency scores for 729 scenarios for each facility tested for identifying the best- and worst-case scenarios. The WWTPs were also ranked based on their eco-efficiency scores. The results demonstrated the importance of integrating data uncertainty in eco-efficiency assessments; the performances of the WWTPs change notably based on the evaluated set of scenarios. The proposed methodological approach provides a reliable and robust framework for supporting decision-making processes.