摘要
基于产业链视角,利用统计分析与空间分析法探究了我国邮轮产业结构演替和空间布局演变特征,并借助地理探测器分析其影响因子及交互作用。结果表明:①我国邮轮产业链日益完善,运营配套和消费服务环节占绝对比例,但设计制造环节占比不断增大。②邮轮企业空间布局由沿海向内陆渐次延伸,呈现由单核心聚集向双核心演变的空间趋势。③邮轮产业布局总体上具有强地理关联性,运营管理与设计制造类企业关联性最高,消费服务与运营管理、设计制造类企业的关联性次之,运营配套及其他产业链环节企业的关联性均较低。④从空间演变趋势看,货物运输便利因素对我国邮轮业空间分异的影响逐渐增强,经济发展水平和消费市场潜力因素的影响逐渐减弱,且各影响因素间均有交互效应。
Based on the perspective of the industrial chain,this study explored the structural succession and evolution of the spatial layout of China’s cruise industry using statistical analysis and spatial analysis,and analyzed the influencing factors and the interactions with the help of geographic detector.The results showed that:①China’s cruise industry chain has improved steadily.Operational support and consumer services sectors accounted for the absolute percentage,but the design of the manufacturing sector accounted for increasing.②The spatial layout of cruise companies gradually extended from the coast to the inland,showing a spatial trend of evolution from single-core aggregation to dual-core.③The overall layout of the cruise industry had strong geographic relevance,with the highest correlation between operation management and design and manufacturing companies,followed by consumer services with operations management,design and manufacturing companies,and the lowest operating support and other industrial chain links.④From the perspective of spatial evolution,the impact of the convenience of cargo transportation on the spatial differentiation of China’s cruise industry has gradually strengthened,the influence of economic development levels and potential factors of consumer markets have gradually declined,and there were interaction effects between all influencing factors.
作者
滕柯
张言庆
刘波
TENG Ke;ZHANG Yan-qing;LIU Bo(School of Tourism and Geographical Sciences,Qingdao University,Qingdao 266071,China)
出处
《资源开发与市场》
CAS
2020年第7期673-678,共6页
Resource Development & Market
基金
国家社会科学基金项目“基于供需特征分析的中国邮轮旅游发展策略研究”(编号:11CGL052)。
关键词
产业链
邮轮产业
空间组织机理
影响因子
industrial chain
cruise industry
spatial organization mechanism
influencing factor