文献类型：期刊文献

中文题名：Spatial Agglomeration of Exhibition Enterprises on a Regional Scale in China

英文题名：Spatial Agglomeration of Exhibition Enterprises on a Regional Scale in China

作者：Fang, Zhongquan[1];Zhang, Ying[1];Wang, Zhangjun[2];Zhang, Lifeng[1]

第一作者：方忠权

通讯作者：Zhang, Y[1]

机构：[1]Beijing Union Univ, Coll Tourism, Beijing 100101, Peoples R China;[2]Jinan Univ, Sch Management, Guangzhou 510632, Guangdong, Peoples R China

第一机构：北京联合大学旅游学院

通讯机构：[1]corresponding author), Beijing Union Univ, Coll Tourism, Beijing 100101, Peoples R China.|[1141732]北京联合大学旅游学院;[11417]北京联合大学;

年份：2017

卷号：27

期号：3

起止页码：497-506

中文期刊名：中国地理科学：英文版

外文期刊名：CHINESE GEOGRAPHICAL SCIENCE

收录：CSTPCD;;Scopus(收录号：2-s2.0-85021226854);WOS:【SCI-EXPANDED(收录号:WOS:000404173000013)】；CSCD:【CSCD2017_2018】；PubMed;

基金：Under the auspices of Humanities and Social Science Foundation of Ministry of Education of China (No.10YJA790047), Funding Project for Academic Human Resources Development in Beijing Union University

语种：英文

中文关键词：空间集聚;企业数据;会展业;区域尺度;中国;核密度估计;城市信息化;影响因素

外文关键词：exhibition enterprises; spatial agglomeration; Ripley K function analysis; regional scale; Pearl River Delta

摘要：During the past two decades, the exhibition industry in China has been developing rapidly and has become an important part of the modern service industry, particularly the agglomeration characteristics of exhibition enterprises highlighted on the regional scale. Although the development of theoretical research on the western exhibition industry has taken place over time, the spatial perspective has not been at the centre of attention so far. This paper aims to fill this gap and report on the agglomeration characteristics of exhibition enterprises and their influential factors. Based on data about exhibition enterprises in the Pearl River Delta(PRD) during 1991–2013, using the Ripley K function analysis and kernel density estimation, this research identifies that: 1) the exhibition enterprise on the regional scale is significantly characterized by spatial agglomeration, and the agglomeration density and scale are continuously increasing; 2) the spatial pattern of agglomeration has developed from a single-center to multi-center form. Meanwhile, this paper profiles the factors influencing the spatial agglomeration of exhibition enterprises by selecting the panel data of nine cities in the PRD in 1999, 2002, 2006 and 2013. The results show that market capacity, urban informatization level and exhibition venues significantly influence the location choice of exhibition enterprises. Among them, the market capacity is a variable that exerts a far greater impact than other factors do.
During the past two decades, the exhibition industry in China has been developing rapidly and has become an important part of the modern service industry, particularly the agglomeration characteristics of exhibition enterprises highlighted on the regional scale. Although the development of theoretical research on the western exhibition industry has taken place over time, the spatial perspective has not been at the centre of attention so far. This paper aims to fill this gap and report on the agglomeration characteristics of exhibition enterprises and their influential factors. Based on data about exhibition enterprises in the Pearl River Delta (PRD) during 1991-2013, using the Ripley K function analysis and kernel density estimation, this research identifies that: 1) the exhibition enterprise on the regional scale is significantly characterized by spatial agglomeration, and the agglomeration density and scale are continuously increasing; 2) the spatial pattern of agglomeration has developed from a single-center to multi-center form. Meanwhile, this paper profiles the factors influencing the spatial agglomeration of exhibition enterprises by selecting the panel data of nine cities in the PRD in 1999, 2002, 2006 and 2013. The results show that market capacity, urban informatization level and exhibition venues significantly influence the location choice of exhibition enterprises. Among them, the market capacity is a variable that exerts a far greater impact than other factors do.