Evidence map›Paper›PMID 41440444›Full record

ArticleEntropy (Basel, Switzerland)2025

Exploring the Digital Economy Innovation in the Yangtze River Delta: A Perspective of Complex Networks.

Luyun Sun, Pan Zhao, Benda Zhou

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Luyun SunCollege of Finance and Mathematics, West Anhui University, Lu'an 237012, China.ORCID 0009-0008-1259-8034
Pan ZhaoCollege of Economics and Management, West Anhui University, Lu'an 237012, China.ORCID 0000-0003-0027-7643
Benda ZhouCollege of Finance and Mathematics, West Anhui University, Lu'an 237012, China.ORCID 0009-0003-2400-7696

Funding

the Anhui Provincial Program for Cultivating Middle-aged and Young University Faculty YQYB2024056the Key Research Program of Dabie Mountains Green Development Research Center at West Anhui University WXZB202101the University Natural Science Research Project of Anhui Province 2024AH051995
6 · The paper itself

Abstract

As a major economic engine of China, the Yangtze River Delta (YRD) region is pivotal in driving innovation across the scientific, technological, and digital economies. This study constructs the spatial associative network for digital economy innovation by treating 41 cities as nodes and applying a gravity model adjusted for institutional distance. Subsequently, the structural characteristics of the spatial associative network and their effects were empirically explored by using complex network analysis and regression models. The findings indicate that: (1) The linkages in digital economy innovation among cities are becoming increasingly closer, and the network structure exhibits an annual increasing trend in density, connectivity, and efficiency, while hierarchy decreases; (2) The examination of network node characteristics discloses that different cities possess diverse capabilities in terms of resource aggregation, regulation, and communication. The block model analysis further categorizes the cities into four functional groups. Among them, Block I (including cities like Shanghai, Nanjing, and Hangzhou) holds the "primary" status and acts as the "core city" for digital economy innovation; (3) The attributes of the spatial associative network have a remarkable effect on both the degree of digital economy innovation and the variations among cities.

Indexed as

complex networkdigital economy innovationinstitutional distancespatial correlation

Identifiers

PMID41440444
PMCPMC12731662

What OpenQuestion holds

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Registered trials

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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.