Please use this identifier to cite or link to this item: http://www.repository.rmutt.ac.th/xmlui/handle/123456789/4653
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dc.contributor.authorLin Tang-
dc.date.accessioned2025-08-29T08:43:07Z-
dc.date.available2025-08-29T08:43:07Z-
dc.date.issued2023-
dc.identifier.urihttp://www.repository.rmutt.ac.th/xmlui/handle/123456789/4653-
dc.description.abstractThe purposes of this study were to: 1) combine the cluster theory, triple helix model, and regional innovation theory to explain the higher education cluster development model in the Chengdu-Chongqing region, Sichuan province, China and 2) utilize cluster, triple helix, and regional innovation theories to analyze factors impacting Chengdu-Chongqing higher education cluster development, validate survey data, and devise a development model for the region. This study aimed to explore the factors affecting the development of higher education clusters in the Chengdu-Chongqing region and design a model to improve their effectiveness. The Likert scale was used to collect data, including four first-level dimensions, 14 second-level dimensions, and 39 items. The analysis results from the pre-survey and SPSS software indicated good reliability and validity. Subsequently, 405 valid questionnaires were collected from government officials, university managers, and business leaders in the Chengdu-Chongqing region through an online platform and mailbox. It was analyzed by SmartPLS software, the Cronbach’s Alpha and composite reliability of 14 second-level dimensions were all greater than 0.80. The AVE value of variation was more significant than 0.70, and the correlation coefficients between 14 second-level sizes and other measurements were around 0.6. The survey data demonstrated good reliability and discriminant validity. Furthermore, the structural model analysis of collinearity, R², and path results of the first and second-level indicators showed no collinearity problems. The influencing factors of government, universities, and enterprises on the effectiveness of the Chengdu-Chongqing higher education cluster were 0.401, 0.411, and 0.142, respectively, indicating a positive influence. The findings are valuable as they indicate that eight secondary dimensions and 17 items positively impact the effectiveness of the higher education cluster in the Chengdu-Chongqing region. Additionally, a structural model with first and second dimensions has been developed, outlining the government-university-enterprise model of higher education cluster development in Chengdu-Chongqing region, Sichuan province, China.en
dc.language.isoenen
dc.publisherRajamangala University Of Technology Thanyaburi. Faculty Of Technical Education. Program Vocational Education.en
dc.subjectmodelen
dc.subjecthigher educationen
dc.subjectclusteren
dc.subjectChengdu and Chongqingen
dc.subjectChinaen
dc.titleDevelopment model of higher education cluster in chengdu and chongqingen
dc.typeDissertationen
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