Este archivo ha sido creado el 18-05-2025 por María Rosario Gonzáelz-Rodríguez
GENERAL INFORMATION
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1. Dataset title: Tourist destination competitiveness: An international approach through the
travel and tourism competitiveness index 


2. Authorship:

	

	Name: González Rodríguez, M.Rosario
	Institution: Universidad de Sevilla 
	Email: rosaglez@us.es
	ORCID: 0000-0002-6484-4128

	Name: Díaz-Fernández, M.Carmen
	Institution: Universidad de Sevilla
	Email: cardiaz@us.es
	ORCID: ORCID: 0000-0003-2652-3072


	Name: Pulido Pavón, Noemí
	Institution: Universidad de Sevilla
	Email: npulido@us.es
	ORCID: ORCID: 0000-0001-6629-2358


DESCRIPTION
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1. Dataset language: English



2. Abstract:


Los datos de la base de datos permite calcular los scores de eficiencia de cada destino turístico. Asimismo, también permite realizar el análisis de regresión para identificar qué pilares tiene influencia significativa en dicha eficiencia. 
El contenido del dataset está organizado en pestañas o “taps”. En la pestaña SERIES aparece la descripción de los pilares del Índice de Desarrollo de Viajes y Turismo (TTDI) elaborado por World Econimc Forum (WEF) (edición 2019) e indicadores de eficacia (año 2019):	
International tourism receipts (inbound US$, millions)
Average spending per int'l tourist (US$)	
T&T industry GDP (US$ million)		
T&T industry Employment (1,000 jobs)		
T&T industry Share of GDP (% of total GDP)	
T&T industry Share of Employment (% of total employment)
En la pestaña DATOS, están recogido los datos de los indicadores correspondientes al año 2019. 



3. Keywords: Tourist destination competitiveness; Comparative advantage; Competitive advantage; Travel and tourism competitiveness index; Data envelopment analysis 



4. Date of data collection (fecha única o rango de fechas):

 01-12-2021


5. Publication Date:
 
   2025-07-21

6. Grant information:


	Grant Agency : Spanish Ministry of Industry, Trade and Tourism and by the European Union “Next Generation EU”/PRTR”
	Grant Number : TUR-RETOS2022-033


7. Geographical location/s of data collection:


140 países


ACCESS INFORMATION
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1. Creative Commons License of the dataset:
  
CC BY-NC-ND 


2. Dataset DOI:
   
   https://doi.org/10.12795/11441/175467


3. Related publication:
[ Obligatorio si es aplicable | Citación bibliográfica, en el estilo estándar de su disciplina, de la publicación relacionada con el conjunto de datos, con el DOI incluido.]
 No aplica


4. Link to related datasets:
 
No aplica


VERSIONING AND PROVENANCE
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1. Last modification date:

18/05/2025

2. Were data derived from another source?:

World Economic Forum, 2019 edition

3. Additional related data not included in this dataset:

Non applicable


METHODOLOGICAL INFORMATION
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1. Description of the methods used to collect and generate the data:

Please refer to Methodology section of the paper titled "Tourist destination competitiveness: An international approach through the travel and tourism competitiveness index"

2. Data processing methods:

Please refer to Methodology section of the paper titled "TTourist destination competitiveness: An international approach through the travel and tourism competitiveness index"

3. Software or instruments needed to interpret the data:

Non applicable

4. Information about instruments, calibration and standards:

Non applicable

5. Environmental or experimental conditions:

Non applicable

6. Quality-assurance procedures performed on the data:

Non applicable

FILE OVERVIEW 
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1. Explain the file naming conversion, si es aplicable:

Model file González-Rodríguez et al. (2023)

2. File list:

	File name: Data_WEF 2019
	Description: Variables employed for DEA and regression analysis

3. Relationship between files:

 No applicable

4. File format:

 Excel 

5. If the dataset includes multiple files, specify the directory structure and relationships between the files:
    
 No aplicable