The Identification of Industrial Clusters and their Spatial Characteristics Based on Natural Semantics

IF 2 4区 社会学 Q3 ENVIRONMENTAL STUDIES Applied Spatial Analysis and Policy Pub Date : 2023-07-26 DOI:10.1007/s12061-023-09528-9
Youwei Tan, Zhihui Gu, Yu Chen, Jiayun Li
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Abstract

Cluster identification based on input–output tables has long been limited in its effectiveness due to slow updates and issues of mutual exclusion. This study presents a novel method that leverages enterprise big data and semantic similarity to identify industrial clusters. Using the electronic information industry cluster in the Pearl River Delta (PRD) as an empirical example, we demonstrate the efficacy of our approach. Our analysis reveals that the PRD's electronic-information industry cluster comprises 27 industries, aligning closely with the results obtained from the input–output table calculations. Building on this cluster identification, our study further investigates the industrial association and spatial collaborative distribution characteristics among cluster enterprises. This study proposes a method to rapidly identify industrial clusters, and quantitatively evaluate industrial linkages and the spatial coordination of industrial clusters from the perspective of individual enterprises. The proposed method has significant implications for urban planners and policy makers in terms of helping them understand the context, relationship, and spatial synergy of industrial clusters.

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基于自然语义的产业集群及其空间特征识别
长期以来,基于投入产出表的集群识别由于更新缓慢和相互排斥等问题,其有效性一直受到限制。本研究提出了一种利用企业大数据和语义相似性来识别产业集群的新方法。我们以珠江三角洲(PRD)的电子信息产业集群为例,证明了我们的方法的有效性。我们的分析表明,珠三角电子信息产业集群由 27 个产业组成,与投入产出表的计算结果非常吻合。在集群识别的基础上,我们进一步研究了集群企业之间的产业关联和空间协作分布特征。本研究提出了一种快速识别产业集群的方法,并从单个企业的角度对产业关联性和产业集群的空间协调性进行了定量评价。该方法对城市规划者和政策制定者了解产业集群的背景、关系和空间协同具有重要意义。
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来源期刊
CiteScore
3.80
自引率
5.30%
发文量
57
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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