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Evaluating provincial tourism competitiveness in China: an empirical application based on the EM-MGM-SNA model

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成果类型:
期刊论文
作者:
Tan, Ye;Xiang, Pingan;Liu, Shuning;Yu, Liang
通讯作者:
Xiang, P;Liu, SN
作者机构:
[Tan, Ye; Xiang, Pingan; Yu, Liang] Hunan Agr Univ, Sch Business, Changsha 410128, Hunan, Peoples R China.
[Tan, Ye] Hunan First Normal Coll, Sch Business, Changsha 410002, Hunan, Peoples R China.
[Xiang, Pingan] Hunan Agr Univ, Rural Ecosyst Hlth Lab Hunan Dongting Lake Area, Changsha 410128, Hunan, Peoples R China.
[Liu, Shuning] Shanghai Univ Finance & Econ, Sch Publ Econ & Adm, Shanghai 200433, Peoples R China.
通讯机构:
[Liu, SN ] S
[Xiang, P ] H
Hunan Agr Univ, Sch Business, Changsha 410128, Hunan, Peoples R China.
Hunan Agr Univ, Rural Ecosyst Hlth Lab Hunan Dongting Lake Area, Changsha 410128, Hunan, Peoples R China.
Shanghai Univ Finance & Econ, Sch Publ Econ & Adm, Shanghai 200433, Peoples R China.
语种:
英文
关键词:
Tourism competitiveness;Social network analysis;Entropy method;Gravity model;Spatial correlation;Network evolution;Differentiation policy
期刊:
Environment, Development and Sustainability
ISSN:
1387-585X
年:
2023
卷:
25
期:
1
页码:
506-527
基金类别:
The authors would like to extend sincere gratitude to the referees for their numerous detailed questions and constructive criticism, which greatly improved the paper. This work is support by Philosophy and Social Sciences Project of Hunan Province (Xiangshekeban 2018-15) and Ordinary University Project of Hunan Province (Xiangjiaotong 2018-380).
机构署名:
本校为第一且通讯机构
院系归属:
商学院
摘要:
The spatial correlation structure of provincial tourism economy development is an important factor to promote the overall tourism economy. This paper aims to construct the methodology of provincial tourism competitiveness evaluation system from the new perspective of networking. Firstly, by utilizing the panel data of 30 provinces from 2006 to 2019, the entropy method was developed to calculate the provincial tourism competitiveness. Then, the gravity model was introduced to the Social Network Analysis, and spatial correlation network and its c...

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