Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/112200
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dc.contributorDepartment of Land Surveying and Geo-Informaticsen_US
dc.creatorTan, YWen_US
dc.creatorWang, YTen_US
dc.creatorDuan, LPen_US
dc.creatorGu, ZHen_US
dc.date.accessioned2025-04-01T03:43:35Z-
dc.date.available2025-04-01T03:43:35Z-
dc.identifier.urihttp://hdl.handle.net/10397/112200-
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.rights© 2024 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).en_US
dc.rightsThe following publication Tan, Y., Wang, Y., Duan, L., & Gu, Z. (2024). Analysis of spatial-temporal evolution and investment model of industrial cross-regional investment network-taking the Pearl River Delta urban agglomeration as an example. Heliyon, 10(17), e37623 is available at https://doi.org/10.1016/j.heliyon.2024.e37623.en_US
dc.subjectCapital flowen_US
dc.subjectIntercity investmenten_US
dc.subjectSpace-time characteristicsen_US
dc.subjectInvestment networken_US
dc.titleAnalysis of spatial-temporal evolution and investment model of industrial cross-regional investment network-taking the Pearl River Delta urban agglomeration as an exampleen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume10en_US
dc.identifier.issue17en_US
dc.identifier.doi10.1016/j.heliyon.2024.e37623en_US
dcterms.abstractCross-regional investment behavior plays a pivotal role in enterprise development and regional economic growth. Nonetheless, existing investment network analyses often adopt a broad perspective, most studies tend to invest in network models and focus on a particular industry, and pay less attention to investment models in different industries. Therefore, this paper will combine the dual perspectives of space and network to observe the spatial and temporal evolution characteristics of enterprise investment and its investment model. Additionally, it delves into the unique features of investment networks within various industries at the district and county levels. The results show that enterprise investment agglomeration exhibits a development pattern characterized by points, bands, and surfaces, with a notable distance attenuation trend in investment distances. The overall structure of the industry investment network showcases characteristics of being multi-centered and multi-nodal. The investment models across different industries can be categorized into four distinct types. The research conclusion is of great significance to optimize multi-scale intercity investment, realize industrial gradient transfer and promote the coordinated development of industry.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationHeliyon, 15 Sept 2024, v. 10, no. 17, e37623en_US
dcterms.isPartOfHeliyonen_US
dcterms.issued2024-09-15-
dc.identifier.isiWOS:001312387700001-
dc.identifier.pmid39290283-
dc.identifier.eissn2405-8440en_US
dc.identifier.artne37623en_US
dc.description.validate202504 bcrcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; intelligent planning decision-making technology and verification of multi-factor coordination of land space; Shenzhen Science and Technology Program; -Spatial aggregation evolution mechanism and spatial coordinated development of electronic information industry cluster in the Pearl River Delta.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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