Mafalda Gómez-Vega
Biographic Data
| ID | 4264852 |
|---|---|
| NAME | Mafalda Gómez-Vega |
| GIVEN NAMES | Mafalda |
| FAMILY NAME | Gómez-Vega |
| SIGNATURE | GÓMEZ-VEGA M |
| AFFILIATIONS | Universidad de Valladolid |
| ORCID | 0000-0003-0810-3517 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 2 |
Does the accumulation of creative capital influence the competitiveness of the tourism sector in European regions
Recently, more countries have implemented policies aimed at enhancing the synergy between two strategic sectors: tourism and the creative industries. This article assesses this relationship for a sample of European regions (171 regions). Our main contribution lies in assessing how the accumulation of resources linked to the cultural and creative sectors helps to maximize tourism competitiveness—measured by means of an efficiency model. From a met…
Performance of cultural heritage institutions
Most studies on performance evaluation in the cultural sector are based on the efficiency assessment of a network of institutions. Nevertheless, very few works take territorial divisions as the case study. Under this approach, we design a spatial production function which merges several cultural resources in order to optimize the impact of a regional system of cultural institutions in terms of cultural production and use of services provided. The…
Clustering and country destination performance at a global scale
Our aim is to evaluate the efficiency of tourist destinations at a global scale, considering 140 countries and drawing on World Economic Forum 2019 data. The approach follows three stages. First, we try to solve the problem of sample heterogeneity through cluster analysis to obtain homogeneous groups of countries. Second, we apply data envelopment analysis to evaluate countries’ efficiency as tourist destinations, considering a territorially base…
Measuring emotion through quality
Ranking world tourist destinations with a composite indicator of competitiveness
Deep-Rooted Culture and Economic Development
Measuring emotion through quality
Ranking world tourist destinations with a composite indicator of competitiveness
Deep-Rooted Culture and Economic Development
Clustering and country destination performance at a global scale
Our aim is to evaluate the efficiency of tourist destinations at a global scale, considering 140 countries and drawing on World Economic Forum 2019 data. The approach follows three stages. First, we try to solve the problem of sample heterogeneity through cluster analysis to obtain homogeneous groups of countries. Second, we apply data envelopment analysis to evaluate countries’ efficiency as tourist destinations, considering a territorially base…
Performance of cultural heritage institutions
Most studies on performance evaluation in the cultural sector are based on the efficiency assessment of a network of institutions. Nevertheless, very few works take territorial divisions as the case study. Under this approach, we design a spatial production function which merges several cultural resources in order to optimize the impact of a regional system of cultural institutions in terms of cultural production and use of services provided. The…
Does the accumulation of creative capital influence the competitiveness of the tourism sector in European regions
Recently, more countries have implemented policies aimed at enhancing the synergy between two strategic sectors: tourism and the creative industries. This article assesses this relationship for a sample of European regions (171 regions). Our main contribution lies in assessing how the accumulation of resources linked to the cultural and creative sectors helps to maximize tourism competitiveness—measured by means of an efficiency model. From a met…
Business (5 works) · Economics (5 works) · Geography (4 works) · Tourism (4 works) · Cultural Industries and Urban Development (3 works) · Diverse Aspects of Tourism Research (3 works) · Efficiency Analysis Using DEA (3 works) · Regional science (3 works) · Computer Science (2 works) · Data envelopment analysis (2 works)