Guidelines for Constructing a Tourist Price Index (English version)

1985 ◽  
Keyword(s):  
Price Index ◽  
International Tourism ◽  
Basic Information ◽  
Tourism Demand ◽  
English Version ◽  
Tourism Product

The purpose of these guidelines is to furnish National Tourism Administrations with basic information, assessments and guidelines for constructing a tourist price index: an instrument that makes it possible to guide tourism policies and define actions and measures to be taken with regard to prices and promotion of the tourism product in the light of evolution in the domestic and international tourism demand.

Modeling Tourism Demand of Iran and Selected Countries (Application of ARDL Method)

2020 ◽  
pp. 167-175
Author(s):  
Anahita Seifi ◽  
Samira Motaghi ◽  
Mojtaba Soltani Ahmadi ◽  
Dmitri Pletnev
Keyword(s):  
Price Index ◽  
Consumer Price Index ◽  
National Income ◽  
Tourism Industry ◽  
International Tourism ◽  
Tourism Demand ◽  
Time Period ◽  
Main Determinants ◽  
Tourism Attractions ◽  
Favorable Conditions

Today, the tourism industry is one of the most influential industries in the economies of societies, especially in countries seeking a substitute for the export of single-product resources. Having a young population seeking job and great tourism attractions in the region and the world, Iran is in a good place in terms of tourist attraction. Despite the favorable conditions, its status is not favorable in comparison to similar countries. Accordingly, the present study aims to analyze the main determinants of international tourism demand of Iran by examining the current and desirable situation during the period of 1991-2018. Also, it aims to estimate the function of tourism demand in Iran in this time period using the ARDL method. The results of the present study show that the variables of national income of the origin countries (tourist sender), the volume of trade between Iran and other countries, security, as well as the ratio of consumer price index in Iran to consumer price index in origin countries are the most important determinant indicators of Iran’s international tourism demand in the short and long term, respectively. In addition, the negative elasticity of security and price index and the positive elasticity of national income and trade volume, as well as the positive coefficient of the number of tourists in the previous period indicate the effect of these indicators in this study. Keywords: Tourism demand, ARDL, demand determinants.

scholarly journals A structural equation model: Greece’s tourism demand for tourist destination

2010 ◽  
Vol 4 (1-2) ◽  
pp. 75-83 ◽  
Author(s):  
Prasert Chaitip ◽  
Chukiat Chaiboonsri ◽  
Sándor Kovács ◽  
Péter Balogh
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Travel Cost ◽  
Positive Influence ◽  
Equation Model ◽  
Product Management ◽  
Tourism Demand ◽  
Product Attributes ◽  
Tourist Destination ◽  
Tourism Product

Structural equation model (LISREL 8) was applied to test the causal relationships between tourist travel motivations and tourist destination.A survey containing Likert scale questions was conducted to collect data from 100 tourists who had travelled to Greece’s tourist destination. With the help of factor analysis, four dimensions were identified for scales used in the study: travel cost satisfaction, tourism product, tourism product attributes, and tourism product management. Results indicated that the travel cost satisfaction of tourists has a positive influence on tourism product, tourism product attributes and tourism product management. Moreover, our results suggested that the tourist demographics has a positive influence on tourism product and tourism product attributes and has an insignificant relationship with tourism product management. Based on our findings the tourist demographics has not influence on tourism product management. However, these findings suggest that both the private tourism and the governmental tourism sector should develop a better management of tourist destinations so as to develop a stronger attraction of tourism, better amenities, a better accessibility, an appropriate image, to make tourism competitive and to keep tourism product prices at a reasonable level. The implications of the tourism demand model can be used for the public environmental policy-making process based mainly on reasons of interest, ideology or understanding.  

Estimating the Impact of Avian Flu on International Tourism Demand Using Panel Data

2009 ◽  
Vol 15 (3) ◽  
pp. 501-511 ◽  
Author(s):  
Hsiao-I Kuo ◽  
Chia-Lin Chang ◽  
Bing-Wen Huang ◽  
Chi-Chung Chen ◽  
Michael McAleer
Keyword(s):  
Panel Data ◽  
Pandemic Influenza ◽  
Fixed Effects ◽  
Data Models ◽  
International Tourism ◽  
Panel Data Models ◽  
Tourism Demand ◽  
Avian Flu ◽  
Potential Risks ◽  
The Impact

This paper investigates the impacts of avian flu on global and Asian tourism using panel data procedures. Both static and dynamic fixed effects panel data models are adopted to estimate the impacts of this infectious disease. The empirical results from static and dynamic fixed effects panel data models are consistent and indicate that the number of affected poultry outbreaks has significant impacts on the international tourism of global and Asian affected countries. The high mortality rate among humans, the potential of a global flu pandemic and some media frenzy with hype and speculation might adversely affect the images of these infected destinations as a safe tourist destination. Moreover, it was found that the average damage to Asian tourism was more serious, which might have been induced by an ineffective suppression in numerous Asian infected countries. In addition, Asia was the earliest affected region and the area infected most seriously by avian flu, both in humans and in poultry. Since the potential risks and damage arising from avian flu and the subsequent pandemic influenza are much greater than for previous diseases, the need to take necessary precautions in the event of an outbreak of avian flu and pandemic influenza warrants further attention and action in modelling and managing international tourism demand and risk.

Forecasting international tourism demand: a local spatiotemporal model

2020 ◽  
Vol 83 ◽  
pp. 102937
Author(s):  
Xiaoying Jiao ◽  
Gang Li ◽  
Jason Li Chen
Keyword(s):  
International Tourism ◽  
Tourism Demand ◽  
Spatiotemporal Model
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