A pre-pandemic Data Envelopment Analysis of the sustainability efficiency of tourism in EU-27 countries

Lozano-Ramírez, Julio; Arana‐Jiménez, Manuel; Lozano, Sebastián

doi:10.1080/13683500.2022.2062309

Cited by 9 publications

(5 citation statements)

References 37 publications

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“…Including these terms highlights the ongoing digital transformation in tourism and how technology is reshaping how tourism destinations are managed and enjoyed. Also included in this list are the terms "smart destination" [91,92] and IoT [93], which suggest an interest in how tourism destinations can use technology to improve the tourist experience and destination management. This term is particularly related to the use of technology for the use of tourism information.…”

Section: State Of the Art: Bibliometrics Of Tourismmentioning

confidence: 99%

Defining the Balearic Islands’ Tourism Data Space: An Approach to Functional and Data Requirements

Ordóñez-Martínez,

Seguí-Pons,

Ruiz-Pérez

2024

Data

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The definition of a tourism data space (TDS) in the Balearic Islands is a complex process that involves identifying the types of questions to be addressed, including analytical tools, and determining the type of information to be incorporated. This study delves into the functional requirements of a Balearic Islands’ TDS based on the study of scientific research carried out in the field of tourism in the Balearic Islands and drawing comparisons with international scientific research in the field of tourism information. Utilizing a bibliometric analysis of the scientific literature, this study identifies the scientific requirements that should be met for the development of a robust, rigorous, and efficient TDS. The goal is to support excellent scientific research in tourism and facilitate the transfer of research results to the productive sector to maintain and improve the competitiveness of the Balearic Islands as a tourist destination. The results of the analysis provide a structured framework for the construction of the Balearic Islands’ TDS, outlining objectives, methods to be implemented, and information to be considered.

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Section: State Of the Art: Bibliometrics Of Tourismmentioning

confidence: 99%

Defining the Balearic Islands’ Tourism Data Space: An Approach to Functional and Data Requirements

Ordóñez-Martínez,

Seguí-Pons,

Ruiz-Pérez

2024

Data

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“…Therefore, studying tourism efficiency is a significant part of tourism research. To assess tourism efficiency, researchers commonly apply DEA, a non-parametric technique without the need for assuming a production function (Wen et al, 2021) (e.g., Alberca and Parte, 2018; Lozano-Ramírez et al, 2022; Yin et al, 2020). This method can estimate the relative efficiency of decision making units (DMUs) (Charnes et al, 1978) against the best practice DMUs, to help identify any performance gaps (Assaf and Josiassen, 2016).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Sustainable tourism development requires encompassing both economic and ecological benefits (Lozano-Ramírez et al, 2022). Focusing on assessing energy usage, carbon emissions, and economic factors is essential when balancing economic benefits and environmental protection (Liu et al, 2022; Sun and Pratt, 2014).…”

Section: Introductionmentioning

confidence: 99%

Spatial spillover and determinants of tourism efficiency: A low carbon emission perspective

2023

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This paper measures tourism carbon efficiency (TCE) in China by incorporating energy consumption and carbon dioxide (CO2) emissions into an efficiency assessment framework, and to further investigate the determinants of TCE by considering the spatial spillover effects. To do this, a bootstrap slacks-based measure (SBM) model was applied to assess the TCE in 30 provincial-level administrative regions of China from 2008 to 2019. Next, the Moran’s index and spatial Durbin model (SDM) were adopted to explore the spatial distribution and determinants of TCE. The results indicate that regional differences affect the level of China’s TCE, as do spatial spillover effects. In addition, technology innovation, urbanization rate, and government support positively affect TCE. In contrast, economic growth negatively affects TCE. Educational attainment, green infrastructure, and government support have a negative spatial spillover effect on TCE. Transportation infrastructure has a negative total effect on TCE.

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“…In 2004, the World Trade Organisation (WTO) officially designated the variables that are important to analyse when looking at sustainability in the tourism sector by releasing the Guidebook-Indicators of Sustainable Development for Tourism Destinations [22]. Some of those indicators are: (i) the environmental impacts of tourism activity; (ii): the dependence on natural resources; (iii) responses from tourism companies to environmental challenges; and (iv) the socioeconomic implications or the importance of the infrastructural conditions [23]. The EU legislation followed the international frameworks and, in 2001, they released the communication: "A cooperative approach to the future of tourism" [24].…”

Section: Literature Review/theoretical Backgroundmentioning

confidence: 99%

“…Considering the sustainability performance in the tourism sector inside the EU, Lozano-Ramirez et al [23] point out countries such as Spain, Malta, and the Netherlands as top performers inside the European framework. On the other hand, Greece and Finland were considered the least attractive for tourists in terms of environmental protections.…”

Section: Literature Review/theoretical Backgroundmentioning

confidence: 99%

The Impacts of EU Cohesion Policy on Sustainable Tourism: The Case of POSEUR in Algarve

Valente

Medeiros²

2022

Sustainability

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Sustainable tourism is a main priority of European Union policies, with the aim of mitigating the potential harmful consequences of this sector on a given territory. The main research goal of this article is to better understand the impact of the public investments financed via EU Cohesion Policy in the tourism sector in the Portuguese Algarve NUT2. This paper focuses on the Portuguese Operational Programme for Sustainability and Efficient Use of Resources (POSEUR 20142020), which was an operational programme of a Portuguese framework to implement EU Cohesion Policy funds in Portugal between 2014 and 2020, and was specifically focused on supporting sustainable development processes. The sustainability performance of POSEUR in the Algarve was evaluated in five different dimensions of analysis: (1) low-emissions economy, (2) adaptation to climate change, (3) risk prevention and management, (4) environmental protection, and (5) resource efficiency. The results showed that POSEUR had a low impact in almost all dimensions in the Algarve, apart from the adaptation to climate change dimension, which exhibits a high impact score, mostly due to the support given for carrying out the Plans for Adaptation to Climate Change (PAAC).

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A pre-pandemic Data Envelopment Analysis of the sustainability efficiency of tourism in EU-27 countries

Cited by 9 publications

References 37 publications

Defining the Balearic Islands’ Tourism Data Space: An Approach to Functional and Data Requirements

Defining the Balearic Islands’ Tourism Data Space: An Approach to Functional and Data Requirements

Spatial spillover and determinants of tourism efficiency: A low carbon emission perspective

The Impacts of EU Cohesion Policy on Sustainable Tourism: The Case of POSEUR in Algarve

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