{"title":"区位是否影响旅游竞争力的机制?来自机器学习分析的证据","authors":"","doi":"10.1016/j.tmp.2024.101291","DOIUrl":null,"url":null,"abstract":"<div><p>Evaluation of tourism competitiveness is crucial for the development of destinations. However, a research gap exists in comprehending the spatial variances in the factors that influence tourism competitiveness. This study aims to fill this gap by empirically investigating the spatially heterogeneous effects of determinants related to tourism competitiveness. To achieve this, we utilized multi-source data, geographically neural network weighted regression, and Shapley additive explanations. The results revealed that market demand, physiography, and attractions are the most significant factors contributing to tourism competitiveness. Furthermore, the relative importance of these influencing factors varies across locations, based on different destination types, market contexts, and resource characteristics. These findings provide valuable implications for policymakers to enhance destination competitiveness through adopting localized strategies.</p></div>","PeriodicalId":48141,"journal":{"name":"Tourism Management Perspectives","volume":null,"pages":null},"PeriodicalIF":7.3000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Does location affect the mechanism of tourism competitiveness? Evidence from machine learning analysis\",\"authors\":\"\",\"doi\":\"10.1016/j.tmp.2024.101291\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Evaluation of tourism competitiveness is crucial for the development of destinations. However, a research gap exists in comprehending the spatial variances in the factors that influence tourism competitiveness. This study aims to fill this gap by empirically investigating the spatially heterogeneous effects of determinants related to tourism competitiveness. To achieve this, we utilized multi-source data, geographically neural network weighted regression, and Shapley additive explanations. The results revealed that market demand, physiography, and attractions are the most significant factors contributing to tourism competitiveness. Furthermore, the relative importance of these influencing factors varies across locations, based on different destination types, market contexts, and resource characteristics. These findings provide valuable implications for policymakers to enhance destination competitiveness through adopting localized strategies.</p></div>\",\"PeriodicalId\":48141,\"journal\":{\"name\":\"Tourism Management Perspectives\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.3000,\"publicationDate\":\"2024-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Tourism Management Perspectives\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2211973624000746\",\"RegionNum\":2,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"HOSPITALITY, LEISURE, SPORT & TOURISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management Perspectives","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2211973624000746","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"HOSPITALITY, LEISURE, SPORT & TOURISM","Score":null,"Total":0}
Does location affect the mechanism of tourism competitiveness? Evidence from machine learning analysis
Evaluation of tourism competitiveness is crucial for the development of destinations. However, a research gap exists in comprehending the spatial variances in the factors that influence tourism competitiveness. This study aims to fill this gap by empirically investigating the spatially heterogeneous effects of determinants related to tourism competitiveness. To achieve this, we utilized multi-source data, geographically neural network weighted regression, and Shapley additive explanations. The results revealed that market demand, physiography, and attractions are the most significant factors contributing to tourism competitiveness. Furthermore, the relative importance of these influencing factors varies across locations, based on different destination types, market contexts, and resource characteristics. These findings provide valuable implications for policymakers to enhance destination competitiveness through adopting localized strategies.
期刊介绍:
Tourism Management Perspectives is an interdisciplinary journal that focuses on the planning and management of travel and tourism. It covers topics such as tourist experiences, their consequences for communities, economies, and environments, the creation of image, the shaping of tourist experiences and perceptions, and the management of tourist organizations and destinations. The journal's editorial board consists of experienced international professionals and it shares the board with Tourism Management. The journal covers socio-cultural, technological, planning, and policy aspects of international, national, and regional tourism, as well as specific management studies. It encourages papers that introduce new research methods and critique existing ones in the context of tourism research. The journal publishes empirical research articles and high-quality review articles on important topics and emerging themes that enhance the theoretical and conceptual understanding of key areas within travel and tourism management.