TY - JOUR
T1 - Industrial agglomeration model in culture tourism system
T2 - Empirical study in mainland China
AU - Yang, Chunyu
AU - Huang, Jue
N1 - Publisher Copyright:
Copyright © 2017 by Emerald Group Publishing Limited All rights of reproduction in any form reserved.
PY - 2016
Y1 - 2016
N2 - Spatial integration and industrial clustering have become an important feature of the culture tourism business. When the core elements in both the culture industry and tourism industry are integrated, a model based on system science is constructed that combines the resources and capacity of the two entities to envisage the ways of creating integrated products and services from the two sectors. Guided by the system science, this study proposes a culture tourism system revealing the clustering and hierarchical structure of the industrial elements. The system contains two subsystems: internal system and external system. The agglomeration model of the system includes 26 indices and the PEF methods, which involved the Parallelogram Law, Entropy-weight Method, and Fuzzy Membership Function. Finally, this study deploys an empirical study involving all provincial territories (N=31) in mainland China. It analyzes the variability and degree of balanced development of the system. In addition, through the resultant data this research adds a typology of culture tourism system along with policy recommendations.
AB - Spatial integration and industrial clustering have become an important feature of the culture tourism business. When the core elements in both the culture industry and tourism industry are integrated, a model based on system science is constructed that combines the resources and capacity of the two entities to envisage the ways of creating integrated products and services from the two sectors. Guided by the system science, this study proposes a culture tourism system revealing the clustering and hierarchical structure of the industrial elements. The system contains two subsystems: internal system and external system. The agglomeration model of the system includes 26 indices and the PEF methods, which involved the Parallelogram Law, Entropy-weight Method, and Fuzzy Membership Function. Finally, this study deploys an empirical study involving all provincial territories (N=31) in mainland China. It analyzes the variability and degree of balanced development of the system. In addition, through the resultant data this research adds a typology of culture tourism system along with policy recommendations.
KW - Culture tourism
KW - Industrial agglomeration model
KW - System science
UR - http://www.scopus.com/inward/record.url?scp=85006454850&partnerID=8YFLogxK
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U2 - 10.1108/S1745-354220160000012007
DO - 10.1108/S1745-354220160000012007
M3 - Article
AN - SCOPUS:85006454850
SN - 1745-3542
VL - 12
SP - 145
EP - 165
JO - Advances in Hospitality and Leisure
JF - Advances in Hospitality and Leisure
ER -