{"title":"中国省级高端制造业创新集群特征及影响因素——基于科技型企业的大数据分析","authors":"Yingjie Yu, Debin Du, Qixiang Li","doi":"10.1007/s12061-024-09628-0","DOIUrl":null,"url":null,"abstract":"<div><p>Previous research on industrial agglomeration has been limited by administrative boundaries, leading to biased results. This paper uses the Duranton and Overman Index to assess high-end manufacturing agglomeration and analyses the influencing factors at various distances. This method surpasses traditional administrative limitations by using continuous geographical distance, providing a more accurate reflection of industrial agglomeration patterns. High-end manufacturing industries show spatial clustering with significant provincial differences, exhibiting patterns of ‘interlaced size’ and ‘small and wide’ agglomeration over 0-300 km, and ‘large and narrow’ within 50 km. Electrical machinery and automotive industries display mixed patterns, while others like computer electronics and railway equipment show varied distance agglomeration. The role of influencing factors on industrial agglomeration has a scaling effect. The relevance of agglomeration economies to industry clustering increases gradually with distance. In contrast, the influence of innovation resources is greater in proximity.</p></div>","PeriodicalId":46392,"journal":{"name":"Applied Spatial Analysis and Policy","volume":"18 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Characteristics and Influencing Factors of Provincial High-End Manufacturing Innovation Clusters in China: A Big Data Analysis of Technology-Based Enterprises\",\"authors\":\"Yingjie Yu, Debin Du, Qixiang Li\",\"doi\":\"10.1007/s12061-024-09628-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Previous research on industrial agglomeration has been limited by administrative boundaries, leading to biased results. This paper uses the Duranton and Overman Index to assess high-end manufacturing agglomeration and analyses the influencing factors at various distances. This method surpasses traditional administrative limitations by using continuous geographical distance, providing a more accurate reflection of industrial agglomeration patterns. High-end manufacturing industries show spatial clustering with significant provincial differences, exhibiting patterns of ‘interlaced size’ and ‘small and wide’ agglomeration over 0-300 km, and ‘large and narrow’ within 50 km. Electrical machinery and automotive industries display mixed patterns, while others like computer electronics and railway equipment show varied distance agglomeration. The role of influencing factors on industrial agglomeration has a scaling effect. The relevance of agglomeration economies to industry clustering increases gradually with distance. In contrast, the influence of innovation resources is greater in proximity.</p></div>\",\"PeriodicalId\":46392,\"journal\":{\"name\":\"Applied Spatial Analysis and Policy\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2025-02-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied Spatial Analysis and Policy\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s12061-024-09628-0\",\"RegionNum\":4,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL STUDIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Spatial Analysis and Policy","FirstCategoryId":"90","ListUrlMain":"https://link.springer.com/article/10.1007/s12061-024-09628-0","RegionNum":4,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
Characteristics and Influencing Factors of Provincial High-End Manufacturing Innovation Clusters in China: A Big Data Analysis of Technology-Based Enterprises
Previous research on industrial agglomeration has been limited by administrative boundaries, leading to biased results. This paper uses the Duranton and Overman Index to assess high-end manufacturing agglomeration and analyses the influencing factors at various distances. This method surpasses traditional administrative limitations by using continuous geographical distance, providing a more accurate reflection of industrial agglomeration patterns. High-end manufacturing industries show spatial clustering with significant provincial differences, exhibiting patterns of ‘interlaced size’ and ‘small and wide’ agglomeration over 0-300 km, and ‘large and narrow’ within 50 km. Electrical machinery and automotive industries display mixed patterns, while others like computer electronics and railway equipment show varied distance agglomeration. The role of influencing factors on industrial agglomeration has a scaling effect. The relevance of agglomeration economies to industry clustering increases gradually with distance. In contrast, the influence of innovation resources is greater in proximity.
期刊介绍：
Description
The journal has an applied focus: it actively promotes the importance of geographical research in real world settings
It is policy-relevant: it seeks both a readership and contributions from practitioners as well as academics
The substantive foundation is spatial analysis: the use of quantitative techniques to identify patterns and processes within geographic environments
The combination of these points, which are fully reflected in the naming of the journal, establishes a unique position in the marketplace.
RationaleA geographical perspective has always been crucial to the understanding of the social and physical organisation of the world around us. The techniques of spatial analysis provide a powerful means for the assembly and interpretation of evidence, and thus to address critical questions about issues such as crime and deprivation, immigration and demographic restructuring, retailing activity and employment change, resource management and environmental improvement. Many of these issues are equally important to academic research as they are to policy makers and Applied Spatial Analysis and Policy aims to close the gap between these two perspectives by providing a forum for discussion of applied research in a range of different contexts
Topical and interdisciplinaryIncreasingly government organisations, administrative agencies and private businesses are requiring research to support their ‘evidence-based’ strategies or policies. Geographical location is critical in much of this work which extends across a wide range of disciplines including demography, actuarial sciences, statistics, public sector planning, business planning, economics, epidemiology, sociology, social policy, health research, environmental management.
FocusApplied Spatial Analysis and Policy will draw on applied research from diverse problem domains, such as transport, policing, education, health, environment and leisure, in different international contexts. The journal will therefore provide insights into the variations in phenomena that exist across space, it will provide evidence for comparative policy analysis between domains and between locations, and stimulate ideas about the translation of spatial analysis methods and techniques across varied policy contexts. It is essential to know how to measure, monitor and understand spatial distributions, many of which have implications for those with responsibility to plan and enhance the society and the environment in which we all exist.
Readership and Editorial BoardAs a journal focused on applications of methods of spatial analysis, Applied Spatial Analysis and Policy will be of interest to scholars and students in a wide range of academic fields, to practitioners in government and administrative agencies and to consultants in private sector organisations. The Editorial Board reflects the international and multidisciplinary nature of the journal.
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