An intercity investment network dataset of China based on the enterprise registration records (2000–2020)
Abstract Intercity investment activities among enterprises reflect the flow of capital between cities, thereby directly illustrating the economic connections between them. However, there is currently no publicly available dataset that captures this important feature. In this study, we introduce an i...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-03-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04658-w |
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| author | Tianheng Shu Shuo Yang Taofang Yu Guangyu Cheng Yitian Ren Fangchen Shi Ben Derudder Xia Liao |
| author_facet | Tianheng Shu Shuo Yang Taofang Yu Guangyu Cheng Yitian Ren Fangchen Shi Ben Derudder Xia Liao |
| author_sort | Tianheng Shu |
| collection | DOAJ |
| description | Abstract Intercity investment activities among enterprises reflect the flow of capital between cities, thereby directly illustrating the economic connections between them. However, there is currently no publicly available dataset that captures this important feature. In this study, we introduce an intercity investment network (IIN) dataset for China, covering the period from 2000 to 2020, based on 17,273,411 large-scale enterprise registration records. The dataset represents 367 cities as nodes, with investment frequency between cities serving as edge weights to construct both directed and undirected networks. It captures the spatiotemporal patterns of China’s IIN, highlighting dynamic changes in economic connectivity over time and space. The dataset aligns closely with urban networks formed by China’s population mobility and the economic gravity model, is consistent with official records and existing research findings, and satisfies the distance decay effect, thus validating its scientific reliability. This dataset provides unique opportunities for exploring economic interactions and functional organization between cities, and advancing urban network research in China. |
| format | Article |
| id | doaj-art-d3f23c4f568c4f04af8908b7dbfa6a9c |
| institution | DOAJ |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-d3f23c4f568c4f04af8908b7dbfa6a9c2025-08-20T03:05:56ZengNature PortfolioScientific Data2052-44632025-03-0112111710.1038/s41597-025-04658-wAn intercity investment network dataset of China based on the enterprise registration records (2000–2020)Tianheng Shu0Shuo Yang1Taofang Yu2Guangyu Cheng3Yitian Ren4Fangchen Shi5Ben Derudder6Xia Liao7School of Architecture, Tsinghua UniversitySchool of Architecture, Tsinghua UniversitySchool of Architecture, Tsinghua UniversityDepartment of Real Estate and Construction, Faculty of Architecture, The University of Hong KongDepartment of Urban Planning and Design & Spatial Analysis and Policy Lab, Xi’an Jiaotong-Liverpool UniversitySchool of Government, Peking UniversityPublic Governance Institute, KU LeuvenInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of SciencesAbstract Intercity investment activities among enterprises reflect the flow of capital between cities, thereby directly illustrating the economic connections between them. However, there is currently no publicly available dataset that captures this important feature. In this study, we introduce an intercity investment network (IIN) dataset for China, covering the period from 2000 to 2020, based on 17,273,411 large-scale enterprise registration records. The dataset represents 367 cities as nodes, with investment frequency between cities serving as edge weights to construct both directed and undirected networks. It captures the spatiotemporal patterns of China’s IIN, highlighting dynamic changes in economic connectivity over time and space. The dataset aligns closely with urban networks formed by China’s population mobility and the economic gravity model, is consistent with official records and existing research findings, and satisfies the distance decay effect, thus validating its scientific reliability. This dataset provides unique opportunities for exploring economic interactions and functional organization between cities, and advancing urban network research in China.https://doi.org/10.1038/s41597-025-04658-w |
| spellingShingle | Tianheng Shu Shuo Yang Taofang Yu Guangyu Cheng Yitian Ren Fangchen Shi Ben Derudder Xia Liao An intercity investment network dataset of China based on the enterprise registration records (2000–2020) Scientific Data |
| title | An intercity investment network dataset of China based on the enterprise registration records (2000–2020) |
| title_full | An intercity investment network dataset of China based on the enterprise registration records (2000–2020) |
| title_fullStr | An intercity investment network dataset of China based on the enterprise registration records (2000–2020) |
| title_full_unstemmed | An intercity investment network dataset of China based on the enterprise registration records (2000–2020) |
| title_short | An intercity investment network dataset of China based on the enterprise registration records (2000–2020) |
| title_sort | intercity investment network dataset of china based on the enterprise registration records 2000 2020 |
| url | https://doi.org/10.1038/s41597-025-04658-w |
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