The Driving Factors and Improvement Paths of CTI Integration: Based on the Spatial Dubin Model and fsQCA Method
Although previous studies have explored the factors influencing cultural and tourism industry (CTI) integration, few have investigated them from a spatial and configuration perspective. Based on the panel data of 31 provinces from 2012 to 2019, the article discusses the driving factors and enhanceme...
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2025-01-01
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| Series: | SAGE Open |
| Online Access: | https://doi.org/10.1177/21582440241305163 |
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| _version_ | 1841527800780029952 |
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| author | Rongrong Liu Jinbo Jiang |
| author_facet | Rongrong Liu Jinbo Jiang |
| author_sort | Rongrong Liu |
| collection | DOAJ |
| description | Although previous studies have explored the factors influencing cultural and tourism industry (CTI) integration, few have investigated them from a spatial and configuration perspective. Based on the panel data of 31 provinces from 2012 to 2019, the article discusses the driving factors and enhancement paths of the level of CTI integration using the spatial Durbin model (SDM) and fuzzy set qualitative comparative analysis (fsQCA). The results show that: (1) Technological innovation, consumer demand, and policy support have significant direct driving effects on CTI integration, and transportation infrastructure has a significant inhibitory effect. Market supply, transportation infrastructure, and human capital show significant spillover effects. (2) There are four paths to improve the integration level of CTI. (3) Technological innovation, market supply, and policy support perform more critical parts in CTI integration. This paper not only expands the research perspective on the driving factors of CTI integration but also applies two complementary research methods. |
| format | Article |
| id | doaj-art-0f797fbf633448d18dfc6f1005f1fe5d |
| institution | Kabale University |
| issn | 2158-2440 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | SAGE Open |
| spelling | doaj-art-0f797fbf633448d18dfc6f1005f1fe5d2025-01-15T08:03:27ZengSAGE PublishingSAGE Open2158-24402025-01-011510.1177/21582440241305163The Driving Factors and Improvement Paths of CTI Integration: Based on the Spatial Dubin Model and fsQCA MethodRongrong Liu0Jinbo Jiang1South China University of Technology, Guangzhou, ChinaSouth China University of Technology, Guangzhou, ChinaAlthough previous studies have explored the factors influencing cultural and tourism industry (CTI) integration, few have investigated them from a spatial and configuration perspective. Based on the panel data of 31 provinces from 2012 to 2019, the article discusses the driving factors and enhancement paths of the level of CTI integration using the spatial Durbin model (SDM) and fuzzy set qualitative comparative analysis (fsQCA). The results show that: (1) Technological innovation, consumer demand, and policy support have significant direct driving effects on CTI integration, and transportation infrastructure has a significant inhibitory effect. Market supply, transportation infrastructure, and human capital show significant spillover effects. (2) There are four paths to improve the integration level of CTI. (3) Technological innovation, market supply, and policy support perform more critical parts in CTI integration. This paper not only expands the research perspective on the driving factors of CTI integration but also applies two complementary research methods.https://doi.org/10.1177/21582440241305163 |
| spellingShingle | Rongrong Liu Jinbo Jiang The Driving Factors and Improvement Paths of CTI Integration: Based on the Spatial Dubin Model and fsQCA Method SAGE Open |
| title | The Driving Factors and Improvement Paths of CTI Integration: Based on the Spatial Dubin Model and fsQCA Method |
| title_full | The Driving Factors and Improvement Paths of CTI Integration: Based on the Spatial Dubin Model and fsQCA Method |
| title_fullStr | The Driving Factors and Improvement Paths of CTI Integration: Based on the Spatial Dubin Model and fsQCA Method |
| title_full_unstemmed | The Driving Factors and Improvement Paths of CTI Integration: Based on the Spatial Dubin Model and fsQCA Method |
| title_short | The Driving Factors and Improvement Paths of CTI Integration: Based on the Spatial Dubin Model and fsQCA Method |
| title_sort | driving factors and improvement paths of cti integration based on the spatial dubin model and fsqca method |
| url | https://doi.org/10.1177/21582440241305163 |
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