Evidence map›Paper›PMID 40701977›Full record

ArticleScientific reports2025

Coupling and coordination evaluation of digital economy and green development efficiency in eight urban agglomerations in China.

Yue Liu

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. Article
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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

1 author.

Yue LiuInternational Business School, Qingdao Huanghai University, Qingdao, 266100, Shandong, China. liuyue20250513@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Promoting the coupling and coordinated development of the digital economy and green development efficiency within urban agglomerations is of vital importance for the construction of "Digital China" and "Beautiful China", and is also significant for achieving regional sustainable development. This paper uses the relevant data of 140 cities in the eight urban agglomerations in China from 2011 to 2023 to comprehensively measure the development levels and coordination degrees of the digital economy and green development efficiency from the perspective of urban agglomerations. Furthermore, by applying multi-index evaluation methods, the EBM-DEA model based on Pearson correlation coefficient, and the coupling coordination degree model, the systematic evaluation and relationship analysis of the digital economy and green development efficiency were carried out. The research results are as follows: (1) The overall coupling coordination degree of two systems in the eight major urban agglomerations in China shows a fluctuating growth trend, achieving a transformation from near imbalance to good coordination, but there are obvious phased characteristics and regional imbalances. (2) In the eight urban agglomerations, the overall Gini coefficient of the coupling coordination degree of these two systems shows a fluctuating downward trend, presenting a "rising-falling" inverted "V" shape feature, and the spatial differences gradually narrow. (3) The stability of the coupling coordination degree at all levels in the eight urban agglomerations is relatively high, with obvious solidification phenomena. The improvement process is gradual, and there is a certain risk of grade decline. These conclusions provide scientific basis for urban agglomerations to formulate precise policies, balance economic and ecological development, and achieve high-quality development.

Indexed as

Digital economyGreen development efficiencyMulti-dimensional perspectiveSpatial-temporal heterogeneityUrban agglomerations

Identifiers

PMID40701977
PMCPMC12287524

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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.