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省际人口迁移与制造业转移空间交互响应研究
引用本文:王国霞,李曼.省际人口迁移与制造业转移空间交互响应研究[J].地理科学,2019,39(2):183-194.
作者姓名:王国霞  李曼
作者单位:1.山西大学经济与管理学院,山西 太原 030006
2.山西省城乡统筹协同创新中心,山西 太原 030619
基金项目:国家自然科学基金项目(40901089)、山西省回国留学人员科研资助项目(2017-003)资助
摘    要:基于2000年、2005年、2010年和2015年人口普查与1%人口抽样调查数据以及相关年度制造业统计数据,利用重心模型和地理探测器对2000年以来的不同类型制造业转移空间格局、人口流动空间格局及其二者相互作用关系进行分析。研究发现: 2000年以来特别是2005年之后中国制造业呈现出明显转移态势,但不同类型制造业转移幅度和空间区域具有明显差异,能源密集型、技术密集型、资本密集型制造业由东部向中西部转移的空间区域大,劳动密集型产业转移空间还十分有限,仍集中于东部地区。 虽然人口迁移的整体格局变化不大,仍是“中间低、周边高”的格局,但是人口迁移的空间特征正在趋于弱化,中西部地区分享的迁入人口份额在不断提高。 制造业重心与人口迁移重心变动轨迹呈现出“偏离-趋同”关系,人口迁移滞后于产业转移的效应已逐渐消失,人口与产业的空间匹配程度趋于提高。 地理探测器定量识别人口迁移与制造业转移之间的空间关系发现,人口迁移格局变化对制造业空间转移的响应程度较制造业转移对人口迁移格局变化的响应程度高。

关 键 词:省际人口流动  制造业转移  重心模型  地理探测器  
收稿时间:2018-01-05
修稿时间:2018-05-15

The Spatial Interaction Between Inter-provincial Migration and Manufacturing Industry Transfer
Guoxia Wang,Man Li.The Spatial Interaction Between Inter-provincial Migration and Manufacturing Industry Transfer[J].Scientia Geographica Sinica,2019,39(2):183-194.
Authors:Guoxia Wang  Man Li
Institution:1.School of Economics and Management, Shanxi University, Taiyuan 030006, Shanxi, China
2.Shanxi Collaborative Innovation Center for Coordinated Urban and Rural Development, Taiyuan 030619, Shanxi, China
Abstract:Based on the data of censuses and 1% sample survey in 2000, 2005, 2010 and 2015 and related annual manufacturing statistics, this article illustrates the temporal and spatial patterns of manufacturing transfer and migration and analyzes the interaction between migration and manufacturing transfer by introducing gravity center model and Geo-detector. The results show that: 1) There has being a significant trend of manufacturing industry transfer since 2000, especially after 2005, characterized by differences in transfer scales and spatial areas among manufacturing industries. Energy-intensive, technology-intensive and capital-intensive manufacturing industries present clear transfer trend with broad spatial areas from the coastal to the inland area, in contrast, the transfer trend of labor-intensive industries which are concentrated in the coastal is uncertain yet. 2) There is little change in the migration pattern featured by minus net-migration in the middle of China and plus in some areas from eastern and western China, but the feature is less prominent with the bigger share of immigrants in the inland area. 3) The change tracks of both manufacturing industry and migration gravity center shows a relationship characterized by deviation and convergence. The migration lagging-behind effect compared with the industrial transfer has gradually disappeared and the spatial population-industry matching degree tends to improve. 4) The Geo-detector is applied to quantitatively identifing the spatial relationship between migration and manufacturing transfer. It is found that the change of migration pattern is more responsive to the spatial transfer, but the latter is less responsive to the former.
Keywords:inter-provincial migration  manufacturing industry transfer  gravity center model  Geo-detector  
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