Applying Regression Model for Changes in Population Age Structure on Domestic Tourism Demand

Changes in age structure are common in most countries because of aging and lower birth rates. In this study, we constructed a domestic tourism demand model using the concept of the proportion of the prime tourist population to investigate the effect of changes in the age structure of the population....

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Main Authors: Tzong-Shyuan Chen, Jui-Yuan Chu
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Engineering Proceedings
Subjects:
Online Access:https://www.mdpi.com/2673-4591/38/1/47
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author Tzong-Shyuan Chen
Jui-Yuan Chu
author_facet Tzong-Shyuan Chen
Jui-Yuan Chu
author_sort Tzong-Shyuan Chen
collection DOAJ
description Changes in age structure are common in most countries because of aging and lower birth rates. In this study, we constructed a domestic tourism demand model using the concept of the proportion of the prime tourist population to investigate the effect of changes in the age structure of the population. A regression model with the time series data of the number of domestic tourists in Taiwan from 2001 to 2021 was adopted in this study. The results showed that there was a significant positive relationship between the proportion of the prime tourist population and domestic tourism demand, indicating that aging impacted the domestic tourism market negatively.
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spelling doaj.art-cb1cfda63a1e45d39f0792bec62d077c2023-11-19T10:34:10ZengMDPI AGEngineering Proceedings2673-45912023-06-013814710.3390/engproc2023038047Applying Regression Model for Changes in Population Age Structure on Domestic Tourism DemandTzong-Shyuan Chen0Jui-Yuan Chu1Department of Leisure Services Management, Chaoyang University of Technology, Taichung 413310, TaiwanDepartment of Leisure Services Management, Chaoyang University of Technology, Taichung 413310, TaiwanChanges in age structure are common in most countries because of aging and lower birth rates. In this study, we constructed a domestic tourism demand model using the concept of the proportion of the prime tourist population to investigate the effect of changes in the age structure of the population. A regression model with the time series data of the number of domestic tourists in Taiwan from 2001 to 2021 was adopted in this study. The results showed that there was a significant positive relationship between the proportion of the prime tourist population and domestic tourism demand, indicating that aging impacted the domestic tourism market negatively.https://www.mdpi.com/2673-4591/38/1/47population age structureagingdomestic tourism
spellingShingle Tzong-Shyuan Chen
Jui-Yuan Chu
Applying Regression Model for Changes in Population Age Structure on Domestic Tourism Demand
Engineering Proceedings
population age structure
aging
domestic tourism
title Applying Regression Model for Changes in Population Age Structure on Domestic Tourism Demand
title_full Applying Regression Model for Changes in Population Age Structure on Domestic Tourism Demand
title_fullStr Applying Regression Model for Changes in Population Age Structure on Domestic Tourism Demand
title_full_unstemmed Applying Regression Model for Changes in Population Age Structure on Domestic Tourism Demand
title_short Applying Regression Model for Changes in Population Age Structure on Domestic Tourism Demand
title_sort applying regression model for changes in population age structure on domestic tourism demand
topic population age structure
aging
domestic tourism
url https://www.mdpi.com/2673-4591/38/1/47
work_keys_str_mv AT tzongshyuanchen applyingregressionmodelforchangesinpopulationagestructureondomestictourismdemand
AT juiyuanchu applyingregressionmodelforchangesinpopulationagestructureondomestictourismdemand