{"title":"环境质量背景下旅游需求的决定因素","authors":"D. Özdemi̇r, Bengü Tosun","doi":"10.30519/ahtr.1096210","DOIUrl":null,"url":null,"abstract":"The aim of this study was to estimate the effects of environmental quality and other determinants on international tourism demand. Within the scope of the 2008–2017 period, the tourism demand from 27 different countries to the top 10 countries that attract the most tourists in the world was examined using the multidimensional panel gravity model. The effects of environmental, economic, and non-economic indicators on tourism demand were investigated using the Poisson pseudo-maximum likelihood (PPML) estimation methods. The findings showed that the low environmental quality significantly reduces tourism demand. In addition, while tourist income, common language, and a common border positively affected tourism demand, distance, relative price, and visa restrictions negatively affected.","PeriodicalId":42370,"journal":{"name":"Advances in Hospitality and Tourism Research-AHTR","volume":"139 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"DETERMINANTS OF TOURISM DEMAND IN CONTEXT OF ENVIRONMENTAL QUALITY\",\"authors\":\"D. Özdemi̇r, Bengü Tosun\",\"doi\":\"10.30519/ahtr.1096210\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this study was to estimate the effects of environmental quality and other determinants on international tourism demand. Within the scope of the 2008–2017 period, the tourism demand from 27 different countries to the top 10 countries that attract the most tourists in the world was examined using the multidimensional panel gravity model. The effects of environmental, economic, and non-economic indicators on tourism demand were investigated using the Poisson pseudo-maximum likelihood (PPML) estimation methods. The findings showed that the low environmental quality significantly reduces tourism demand. In addition, while tourist income, common language, and a common border positively affected tourism demand, distance, relative price, and visa restrictions negatively affected.\",\"PeriodicalId\":42370,\"journal\":{\"name\":\"Advances in Hospitality and Tourism Research-AHTR\",\"volume\":\"139 1\",\"pages\":\"\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2022-08-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advances in Hospitality and Tourism Research-AHTR\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30519/ahtr.1096210\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Hospitality and Tourism Research-AHTR","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30519/ahtr.1096210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
DETERMINANTS OF TOURISM DEMAND IN CONTEXT OF ENVIRONMENTAL QUALITY
The aim of this study was to estimate the effects of environmental quality and other determinants on international tourism demand. Within the scope of the 2008–2017 period, the tourism demand from 27 different countries to the top 10 countries that attract the most tourists in the world was examined using the multidimensional panel gravity model. The effects of environmental, economic, and non-economic indicators on tourism demand were investigated using the Poisson pseudo-maximum likelihood (PPML) estimation methods. The findings showed that the low environmental quality significantly reduces tourism demand. In addition, while tourist income, common language, and a common border positively affected tourism demand, distance, relative price, and visa restrictions negatively affected.