Your browser doesn't support javascript.
loading
Tourism dependence and poverty alleviation thresholds in Chinese ethnic tourism.
Li, Ya-Juan; Ouyang, Chen-Xing; Zhou, Sheng-Yu; Yu, Hu; Knight, W David.
Afiliação
  • Li YJ; Wuhan Branch of China Tourism Academy, Central China Normal University, Wuhan, 430079 China.
  • Ouyang CX; College of Urban and Environmental Science, Central China Normal University, Wuhan, 430079 China.
  • Zhou SY; College of Urban and Environmental Science, Central China Normal University, Wuhan, 430079 China.
  • Yu H; College of Urban and Environmental Science, Central China Normal University, Wuhan, 430079 China.
  • Knight WD; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101 China.
J Mt Sci ; 19(10): 3026-3036, 2022.
Article em En | MEDLINE | ID: mdl-36320422
ABSTRACT
Questions persist on the relationship between tourism dependence and economic growth in ethnic tourism areas. This study addresses such gaps by constructing a threshold regression model based on socio-economic data from 2006 to 2019 for nine sites in Enshi Prefecture of central China. ArcGIS and other open-source data were also used to visualize changing tourism resources in the region. Findings suggest that tourism dependence (the ratio of tourism-based GDP to overall GDP) significantly promotes economic growth in ethnic minority areas. However, the positive influence of tourism dependence on economic growth appears dynamic and non-linear - rising at first before falling when tourism dependence exceeded a threshold of 34%, with effects varying by site and year. Methods and findings make crucial theoretical contributions to understanding tourism dependence and poverty alleviation linkages. This paper also highlights the importance of political support and balanced investment in diverse industries to minimize decreasing returns beyond tourism dependence thresholds in destinations worldwide.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article