How much does satisfaction affect tourism expenditure during and post recessions?

2021 ◽  
pp. 1-18
Author(s):  
Cristina Bernini ◽  
Federica Galli
Keyword(s):  
Tourism Expenditure

The Nexus Between Seniors' Tourism Expenditure and Well-Being in China

2020 ◽  
Vol 25 (1) ◽  
pp. 169-174
Author(s):  
Renuka Mahadevan ◽  
Vanessa Sha Fan
Keyword(s):  
Economic Growth ◽  
Life Satisfaction ◽  
Government Policy ◽  
Rural Areas ◽  
Empirical Relationship ◽  
Well Being ◽  
Tourism Demand ◽  
Leisure Travel ◽  
Policy Strategy ◽  
Tourism Expenditure

An examination of the two-way relationship between tourism expenditure and life satisfaction for seniors is undertaken in this article. This examination uses panel data on China's seniors and tracks the same seniors over 3 years. Results show that there is bidirectional causality between tourism expenditure and life satisfaction, casting doubt on previous studies that do not consider this two-way relationship. This empirical relationship highlights the importance of a two-pronged policy strategy— a government policy committed to social tourism programs for seniors who may not be able to afford travel and those who reside in rural areas. Another government strategy is to address aged concerns related to mobility and health to improve well-being and the provision of appropriate facilities for leisure travel. Senior tourism demand was found to be income inelastic and this result means that senior tourism can buffer Chinese economic growth in times of economic crisis and uncertainty, making the twin policy strategy a worthwhile consideration.

scholarly journals Examining the connection among national tourism expenditure and economic growth in Algeria

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Salah Eddine Sari Hassoun ◽  
Khayereddine Salim Adda ◽  
Asma Hadjira Sebbane
Keyword(s):  
Economic Growth ◽  
Structural Break ◽  
Unit Root Test ◽  
Vector Autoregressive ◽  
Natural Logarithm ◽  
Tourism Sector ◽  
Strategic Role ◽  
Short Run ◽  
Per Capita ◽  
Tourism Expenditure

AbstractTourism is one of the most important sectors for several researchers and decision makers, due to its influence on the world economic growth in the twenty-first century, making it as a source of competition between countries to a global industry for its effective strategic role in the development of countries. In this paper, we used two variables natural logarithm of per capita gross domestic product (GDP) and natural logarithm of per capita international and national tourism expenditure (ITE) to study the relationship between the tourism sector and economic growth in Algeria over the period of 1995–2017. We established with the unit root test with and without breakpoint that the variables are stationary in the first difference and there is a structural break in (ITE) and (GDP). Thus, with the presence of a breakpoint, we employed the methodology of Gregory–Hansen to avoid such issue, but we found that there was no evidence of cointegration with breakpoint, so then we used the vector autoregressive model (VAR). The model showed that the tourism sector has a positive and insignificant coefficient on the economic growth, while the economic growth factor has a positive and significant on the tourism sector. In the short run, there was a one-way causality from GDP to ITE at the level of 1%, confirming the economic-driven tourism growth hypothesis. Also, we found with Breitung and Candelon causality that there was same causality at the level of 10%.

Measuring the effects of tourists’ relative willingness to spend and third-degree price discrimination on inbound tourism expenditure differentials

2021 ◽  
pp. 135481662110300
Author(s):  
Usamah F Alfarhan ◽  
Khaldoon Nusair ◽  
Hamed Al-Azri ◽  
Saeed Al-Muharrami ◽  
Nan Hua
Keyword(s):  
Price Discrimination ◽  
Profit Maximization ◽  
Tourism Industry ◽  
Theoretical Argument ◽  
Total Expenditure ◽  
Conditional Quantile ◽  
For Profit ◽  
Inbound Tourism ◽  
Tourism Expenditure ◽  
Quantile Estimates

Tourism expenditures are determined by a set of antecedents that reflect tourists’ willingness and ability to spend, and de facto incremental monetary outlays at which willingness and ability is transformed into total expenditures. Based on the neoclassical theoretical argument of utility-constrained expenditure minimization, we extend the current literature by applying a sustainability-based segmentation criterion, namely, the Legatum Prosperity IndexTM to the decomposition of a total expenditure differential into tourists’ relative willingness to spend and an upper bound of third-degree price discrimination, using mean-level and conditional quantile estimates. Our results indicate that understanding the price–quantity composition of international inbound tourism expenditure differentials assists agents in the tourism industry in their quest for profit maximization.

Persistency in tourism expenditure in a small-open economy

Anatolia ◽  
2017 ◽  
Vol 29 (1) ◽  
pp. 1-10
Author(s):  
Zeynel Abidin Ozdemir ◽  
Emre Aksoy ◽  
Yalcin Arslanturk ◽  
Murat Cetinkaya ◽  
Taylan Taner Dogan ◽  
...  
Keyword(s):  
Open Economy ◽  
Small Open Economy ◽  
Tourism Expenditure

Prediksi Kedatangan Turis Menggunakan Algoritma Weighted Exponential Moving Average

2020 ◽  
Vol 12 (2) ◽  
pp. 129-132
Author(s):  
Sherly Florencia ◽  
Alethea Suryadibrata
Keyword(s):  
Moving Average ◽  
Mean Absolute Percentage Error ◽  
Percentage Error ◽  
Error Measurement ◽  
Absolute Percentage Error ◽  
Natural Beauty ◽  
Expenditure Data ◽  
The Mean ◽  
Tourism Expenditure ◽  
Using Data

Tourism is an important factor for the development of a country. Tourism can be used as a promotion to introduce natural beauty and cultural uniqueness. Government needs to predict how many tourists will come every year to do a planning. Therefore, an application is needed to help to predict the arrival of tourists in each country. In this paper, we use Weighted Exponential Moving Average (WEMA) method to predict the arrival of tourist, tourism expenditure in the country, and departure using data from 2008 to 2018. Error measurement is calculated using the Mean Absolute Percentage Error (MAPE). The result shows that the lowest average MAPE on arrival data with span 2 is at 3.28. The lowest average MAPE on tourism expenditure data with span 2 is at 3.99%. The result shows that the lowest average MAPE on departure data with span 2 is at 3.63%.

scholarly journals Demographic change, tourism expenditure and life cycle behaviour

2015 ◽  
Vol 47 ◽  
pp. 191-205 ◽  
Author(s):  
Cristina Bernini ◽  
Maria Francesca Cracolici
Keyword(s):  
Life Cycle ◽  
Demographic Change ◽  
Tourism Expenditure

Tourism expenditure in post-earthquake Christchurch, New Zealand

Anatolia ◽  
2018 ◽  
Vol 30 (1) ◽  
pp. 47-60 ◽  
Author(s):  
Girish Prayag ◽  
Peter Fieger ◽  
John Rice
Keyword(s):  
New Zealand ◽  
Tourism Expenditure
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