The Structure and Evolution of the Tourism Economic Network of the Tibetan Plateau and Its Driving Factors
Tourism is one of the core industries driving the economy on the Tibetan Plateau towards green development. Adopting the improved gravity model, social network analysis, and quadratic assignment procedure, this paper explores the structure and evolution characteristics of the tourism economic networ...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | Land |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-445X/11/2/241 |
| _version_ | 1797478811029209088 |
|---|---|
| author | Xiaodong Chen Tian Wang Xin Zheng Fang Han Zhaoping Yang |
| author_facet | Xiaodong Chen Tian Wang Xin Zheng Fang Han Zhaoping Yang |
| author_sort | Xiaodong Chen |
| collection | DOAJ |
| description | Tourism is one of the core industries driving the economy on the Tibetan Plateau towards green development. Adopting the improved gravity model, social network analysis, and quadratic assignment procedure, this paper explores the structure and evolution characteristics of the tourism economic network on the Tibetan Plateau from 2015 to 2019. The results are as follows: (1) the tourism economic strength increased over time, but it was generally higher in Qinghai Province and lower in Tibet. (2) The network density exhibited an upwards trend overall. (3) The structure of the tourism economic network presented a significant core–periphery distribution pattern. Xining, Haixi, and Lhasa acted as a bridge between the spatial network structure of the tourism economy and had a structural hole advantage. However, some remote cities, such as Ali, Naqu, and Guoluo, had low network centricity. (4) The quadratic assignment procedure regression analysis showed that the A-level attractions and star-rated hotels significantly advanced the formation of the spatial association. This study concludes with recommendations for promoting tourism economic associations for policy-makers. |
| first_indexed | 2024-03-09T21:36:52Z |
| format | Article |
| id | doaj.art-ffe69f8d53694ea799f16190e588a564 |
| institution | Directory Open Access Journal |
| issn | 2073-445X |
| language | English |
| last_indexed | 2024-03-09T21:36:52Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Land |
| spelling | doaj.art-ffe69f8d53694ea799f16190e588a5642023-11-23T20:43:11ZengMDPI AGLand2073-445X2022-02-0111224110.3390/land11020241The Structure and Evolution of the Tourism Economic Network of the Tibetan Plateau and Its Driving FactorsXiaodong Chen0Tian Wang1Xin Zheng2Fang Han3Zhaoping Yang4State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830000, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830000, ChinaUniversity of Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830000, ChinaState Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830000, ChinaTourism is one of the core industries driving the economy on the Tibetan Plateau towards green development. Adopting the improved gravity model, social network analysis, and quadratic assignment procedure, this paper explores the structure and evolution characteristics of the tourism economic network on the Tibetan Plateau from 2015 to 2019. The results are as follows: (1) the tourism economic strength increased over time, but it was generally higher in Qinghai Province and lower in Tibet. (2) The network density exhibited an upwards trend overall. (3) The structure of the tourism economic network presented a significant core–periphery distribution pattern. Xining, Haixi, and Lhasa acted as a bridge between the spatial network structure of the tourism economy and had a structural hole advantage. However, some remote cities, such as Ali, Naqu, and Guoluo, had low network centricity. (4) The quadratic assignment procedure regression analysis showed that the A-level attractions and star-rated hotels significantly advanced the formation of the spatial association. This study concludes with recommendations for promoting tourism economic associations for policy-makers.https://www.mdpi.com/2073-445X/11/2/241tourism economic networksocial network analysisquadratic assignment procedureTibetan Plateau |
| spellingShingle | Xiaodong Chen Tian Wang Xin Zheng Fang Han Zhaoping Yang The Structure and Evolution of the Tourism Economic Network of the Tibetan Plateau and Its Driving Factors Land tourism economic network social network analysis quadratic assignment procedure Tibetan Plateau |
| title | The Structure and Evolution of the Tourism Economic Network of the Tibetan Plateau and Its Driving Factors |
| title_full | The Structure and Evolution of the Tourism Economic Network of the Tibetan Plateau and Its Driving Factors |
| title_fullStr | The Structure and Evolution of the Tourism Economic Network of the Tibetan Plateau and Its Driving Factors |
| title_full_unstemmed | The Structure and Evolution of the Tourism Economic Network of the Tibetan Plateau and Its Driving Factors |
| title_short | The Structure and Evolution of the Tourism Economic Network of the Tibetan Plateau and Its Driving Factors |
| title_sort | structure and evolution of the tourism economic network of the tibetan plateau and its driving factors |
| topic | tourism economic network social network analysis quadratic assignment procedure Tibetan Plateau |
| url | https://www.mdpi.com/2073-445X/11/2/241 |
| work_keys_str_mv | AT xiaodongchen thestructureandevolutionofthetourismeconomicnetworkofthetibetanplateauanditsdrivingfactors AT tianwang thestructureandevolutionofthetourismeconomicnetworkofthetibetanplateauanditsdrivingfactors AT xinzheng thestructureandevolutionofthetourismeconomicnetworkofthetibetanplateauanditsdrivingfactors AT fanghan thestructureandevolutionofthetourismeconomicnetworkofthetibetanplateauanditsdrivingfactors AT zhaopingyang thestructureandevolutionofthetourismeconomicnetworkofthetibetanplateauanditsdrivingfactors AT xiaodongchen structureandevolutionofthetourismeconomicnetworkofthetibetanplateauanditsdrivingfactors AT tianwang structureandevolutionofthetourismeconomicnetworkofthetibetanplateauanditsdrivingfactors AT xinzheng structureandevolutionofthetourismeconomicnetworkofthetibetanplateauanditsdrivingfactors AT fanghan structureandevolutionofthetourismeconomicnetworkofthetibetanplateauanditsdrivingfactors AT zhaopingyang structureandevolutionofthetourismeconomicnetworkofthetibetanplateauanditsdrivingfactors |