Pregled bibliografske jedinice broj: 542585
Modelling investment in the tourism industry using the World Bank's good governance indicators
Modelling investment in the tourism industry using the World Bank's good governance indicators // Journal of modelling in management, 6 (2011), 3; 279-296 doi:10.1108/17465661111183694 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 542585 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Modelling investment in the tourism industry using the World Bank's good governance indicators
Autori
Rios-Morales, Ruth ; Gamberger, Dragan ; Jenkins, Ian ; Šmuc, Tomislav ;
Izvornik
Journal of modelling in management (1746-5664) 6
(2011), 3;
279-296
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
tourism related FDI ; good governance indicators ; economic growth ; market site for tourism
Sažetak
Foreign direct investment has been extensively recognised as an important resource of economic growth. Governments have been playing an active role in encouraging this type of investment. Despite efforts by governments, only a few countries have been successful in attracting investment for their tourism industry. The availability of comprehensive datasets and a very limited set of empirical studies, related to investment in the tourism industry, has stimulated this research to focus on integrating quantitative resources and assessing the significance of government policies. Good governance indicators, together with data about investments in the tourism industry, are the main instruments used in the model. This study utilizes statistical and machine learning techniques in order to detect meaningful relationships between government policies and investment. A predictive model has been constructed and evaluated using a set of countries, which differ from those putatively used for model generation. Our general conclusion suggests that the formulation and implementation of sound policies, together with regulations, promotes the development of a private sector ; and the private sector has a significant role in attracting tourism investment. The study contributes to research in the tourism industry by using modelling of intelligent data analysis techniques.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo, Ekonomija
POVEZANOST RADA
Projekti:
098-0982560-2563 - Algoritmi strojnog učenja i njihova primjena (Gamberger, Dragan, MZOS ) ( CroRIS)
Ustanove:
Institut "Ruđer Bošković", Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus