Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors
Tourism efficiency can be used to effectively measure the utilization of regional tourism resources and the state of tourism economic development. Based on the super efficiency DEA model, Malmquist index, and spatial econometric model, this article measures the static and dynamic tourism efficiency...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/4580917 |
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| _version_ | 1832548903632764928 |
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| author | Huadi Wang Shaogui Xu Qiuyi Xie Jianying Fan Nianxing Zhou |
| author_facet | Huadi Wang Shaogui Xu Qiuyi Xie Jianying Fan Nianxing Zhou |
| author_sort | Huadi Wang |
| collection | DOAJ |
| description | Tourism efficiency can be used to effectively measure the utilization of regional tourism resources and the state of tourism economic development. Based on the super efficiency DEA model, Malmquist index, and spatial econometric model, this article measures the static and dynamic tourism efficiency of 11 provinces and cities in eastern China for 2010 to 2019. In combining ArcGIS 10.0 and MATLAB 2016b software, this article studies the temporal and spatial differentiation of tourism efficiency in eastern provinces and cities and influencing factors. The results show that (1) the overall tourism efficiency of eastern provinces is at a high level and relatively stable, but the regional distribution is quite varied, and problems of spatial imbalance are prominent; (2) the overall tourism efficiency of eastern provinces is increasing, and the change index of technical efficiency contributes the most, followed by the change index of scale efficiency; and (3) industrial status, traffic conditions, tourism resource endowment, and the labour force are the main factors affecting the temporal and spatial differentiation of tourism efficiency in eastern provinces and cities, while the level of economic development and information technology have no significant impact. |
| format | Article |
| id | doaj-art-8fabad40b1554613b4a0bae0a0be7627 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-8fabad40b1554613b4a0bae0a0be76272025-02-03T06:12:51ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/45809174580917Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing FactorsHuadi Wang0Shaogui Xu1Qiuyi Xie2Jianying Fan3Nianxing Zhou4School of Education Science, Nanjing Normal University, Nanjing, Jiangsu 210046, ChinaSchool of Management, Jinan University, Guangzhou, Guangdong 510630, ChinaSchool of Geography, Nanjing Normal University, Nanjing, Jiangsu 210023, ChinaSchool of Tourism and Culture, Nanning Normal University, Nanning, Guangxi 530100, ChinaSchool of Geography, Nanjing Normal University, Nanjing, Jiangsu 210023, ChinaTourism efficiency can be used to effectively measure the utilization of regional tourism resources and the state of tourism economic development. Based on the super efficiency DEA model, Malmquist index, and spatial econometric model, this article measures the static and dynamic tourism efficiency of 11 provinces and cities in eastern China for 2010 to 2019. In combining ArcGIS 10.0 and MATLAB 2016b software, this article studies the temporal and spatial differentiation of tourism efficiency in eastern provinces and cities and influencing factors. The results show that (1) the overall tourism efficiency of eastern provinces is at a high level and relatively stable, but the regional distribution is quite varied, and problems of spatial imbalance are prominent; (2) the overall tourism efficiency of eastern provinces is increasing, and the change index of technical efficiency contributes the most, followed by the change index of scale efficiency; and (3) industrial status, traffic conditions, tourism resource endowment, and the labour force are the main factors affecting the temporal and spatial differentiation of tourism efficiency in eastern provinces and cities, while the level of economic development and information technology have no significant impact.http://dx.doi.org/10.1155/2021/4580917 |
| spellingShingle | Huadi Wang Shaogui Xu Qiuyi Xie Jianying Fan Nianxing Zhou Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors Complexity |
| title | Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors |
| title_full | Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors |
| title_fullStr | Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors |
| title_full_unstemmed | Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors |
| title_short | Study on the Temporal and Spatial Differentiation of Provincial Tourism Efficiency in Eastern China and Influencing Factors |
| title_sort | study on the temporal and spatial differentiation of provincial tourism efficiency in eastern china and influencing factors |
| url | http://dx.doi.org/10.1155/2021/4580917 |
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