Evidence map›Paper›PMID 40274981›Full record

ArticleScientific reports2025

Digital economy and entrepreneurial vitality: unveiling the impact and mechanisms through the lens of smart cities.

Yongliang Zhang, Yanchao Su, Shali Wang

Abstract read
In one paragraph

Article in Scientific reports, 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

3 authors.

Yongliang ZhangSchool of Management, China University of Mining and Technology-Beijing, Beijing, 100080, China.
Yanchao SuSchool of Management, China University of Mining and Technology-Beijing, Beijing, 100080, China.
Shali WangSchool of Economics and Management, Guizhou University of Engineering Science, Bijie, 551700, Guizhou, China. wsl1983.3.28@163.com.

Funding

Management Mechanism of Logistics Credit Data on Network Freight Platforms and the Financial Innovation Model of Credit Coins 22BGL110Optimization Pathways and Welfare Effects of Upgrading China's Import Structure under the Background of High-Quality Development 19CJL046
6 · The paper itself

Abstract

Technological advancements have become a crucial driver of economic growth, particularly in the digital economy, where they have significantly spurred innovation and entrepreneurship across various sectors. This progress has also led to the rise of smart cities, which serve as practical contexts for implementing the digital economy. By integrating technological advancements and the digital economy, smart cities have further unlocked their potential through the development of digital and intelligent infrastructure. However, research on the impact of the digital economy on urban entrepreneurial activity remains limited, especially regarding its underlying mechanisms. To address this gap, this study constructs a panel dataset covering 284 prefecture-level cities in China from 2010 to 2021 and employs Difference-in-Differences (DID) and Propensity Score Matching-Difference-in-Differences (PSM-DID) models. The findings indicate that the digital economy has a significantly positive impact on urban entrepreneurial activity, particularly in northern and less developed cities, as well as in the information transmission, software, and information technology service industries. Mechanism analysis reveals that this impact is mediated through the optimization of the urban business environment and enhanced social credit levels. Additionally, the study identifies heterogeneous effects across different regions, levels of urban development, and industries. The study concludes that technological progress, the digital economy, and smart cities have a synergistic effect, driving high-quality economic development. Technological progress supports the digital economy, which in turn provides the foundation for smart city construction. Based on these findings, the paper recommends advancing the digital economy, optimizing the business environment, improving the social credit system, and formulating targeted policies to promote coordinated development between the digital economy and entrepreneurial activities.

Indexed as

Business environment optimizationDifference-in-differences modelGlobal digital economyQuasi-natural experimentSocial credit systemTechnological advancementsUrban entrepreneurial activity

Identifiers

PMID40274981
PMCPMC12022349

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.