Evidence map›Paper›PMID 40032869›Full record

ArticleScientific data2025

An intercity investment network dataset of China based on the enterprise registration records (2000-2020).

Tianheng Shu, Shuo Yang, Taofang Yu, Guangyu Cheng, Yitian Ren, Fangchen Shi, Ben Derudder, Xia Liao

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Tianheng Shu *School of Architecture, Tsinghua University, Beijing, 100084, China.ORCID http://orcid.org/0000-0001-7149-2063
Shuo Yang *School of Architecture, Tsinghua University, Beijing, 100084, China.
Taofang YuSchool of Architecture, Tsinghua University, Beijing, 100084, China. yutaofang@mail.tsinghua.edu.cn.
Guangyu ChengDepartment of Real Estate and Construction, Faculty of Architecture, The University of Hong Kong, Hong Kong, 999077, China.
Yitian RenDepartment of Urban Planning and Design & Spatial Analysis and Policy Lab, Xi'an Jiaotong-Liverpool University, Suzhou, 215123, China.
Fangchen ShiSchool of Government, Peking University, Beijing, 100871, China.
Ben DerudderPublic Governance Institute, KU Leuven, Leuven, 3000, Belgium.
Xia LiaoInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, 100101, China. liaoxia_cq@163.com.

Funding

Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) 2022YFC3800101
6 · The paper itself

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.

Identifiers

PMID40032869
PMCPMC11876656

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.