项目名称: 京津冀城市群生产性服务业空间集聚机理及调控研究
项目编号: No.41471107
项目类型: 面上项目
立项/批准年度: 2015
项目学科: 天文学、地球科学
项目作者: 申玉铭
作者单位: 首都师范大学
项目金额: 80万元
中文摘要: 在全球经济服务化趋势增强、中国大城市正向服务经济迈进的背景下,生产性服务业的空间集聚特性已经成为影响城市功能提升、城市内部空间塑造、城市等级体系重构乃至全球城市崛起的重要力量。 本项目以京津冀城市群为研究对象,结合经济地理、城市地理、产业集群、服务经济等相关理论,以投入产出表、经济普查等资料为源数据,运用投入产出、统计分析、GIS空间分析以及问卷调查、深度访谈等方法,探讨不同尺度上生产性服务业在城市网络中的空间集聚特征及演化过程。在此基础上,从城市特性、行业特性、产业价值链以及邻近效应等影响因素,系统解析生产性服务业空间集聚的机理,进而提出优化调控的模式,旨在为京津冀城市群生产性服务业的分工协作、城市空间结构优化、集聚区集聚发展,提升城市群的整体竞争力乃至在全球城市网络中的地位提供科学依据,并推动和丰富我国服务业地理学的研究。
中文关键词: 生产性服务业;空间集聚;机理;调控;京津冀城市群
英文摘要: Under the background of global trend of tertiarization and China's metropolises are moving into service economy, spatial agglomeration of producer services has become the major driver of urban functional improvement, urban internal spatial reconstruction, urban hierarchy restructuring, and even the rise of global cities. Basing on the theories of Economic Geography, Urban Geography, Industrial Cluster, Service Economy and so on, this study takes an analysis of Beijing-Tianjin-Hebei megalopolis. Relying on Input-output Tables, Economic Census and Statistical Yearbooks, methods of input-output model, statistical analysis, spatial analysis of GIS, questionnaire and interview with enterprises are applied to induce the spatial agglomeration and evolution process of different scales of producer services in urban network. On this basis,from the influencing factors of urban characteristics, industry characteristics, industrial value chain and proximity effects, analyze the mechanism of producer services spatial agglomeration systematically, and explore the optimal regulation model. The research arms to provide a scientific guide for division of collaboration, optimization of urban spatial structure of producer services in Beijing-Tianjin-Hebei megalopolis, advance the regional competition, and enhance urban agglomeration in the global city network, as well as promote the progress of service geography in China.
英文关键词: producer service;spatial agglomeration;mechanism;regulation;Beijing-Tianjin-Hebei urban Clusters