Non-spatial and spatial econometric analysis of tourism demand in a panel of countries around the world

Abdessamad Ouchen and Nathalie Montargot

Spatial Economic Analysis, 2022, vol. 17, issue 2, 262-283

Abstract: Spatial and non-spatial data econometric models were used on a panel of 43 countries around the world from 2006 to 2016. The number of tourist arrivals was explained using ‘the political stability and the absence of violence/terrorism’ index and the human development indices, that is, the ‘standard of living index’, ‘life expectancy index’ and ‘education index’. Taking spatial information into account improved the forecasting of tourist arrivals in 2017. There was a positive spatial autocorrelation of the ‘endogenous interaction effect’ type. The number of tourist arrivals in neighbouring countries positively impacts those in a given country.

Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://hdl.handle.net/10.1080/17421772.2021.1940256 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:specan:v:17:y:2022:i:2:p:262-283

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RSEA20

DOI: 10.1080/17421772.2021.1940256

Access Statistics for this article

Spatial Economic Analysis is currently edited by Bernie Fingleton and Danilo Igliori

More articles in Spatial Economic Analysis from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().