Evidence map›Paper›PMID 40717949›Full record

ArticleFrontiers in public health2025

The significance of green innovation efficiency of green low-carbon circular economy for sustainable cities in western China-Empirical evidence from Chongqing municipality.

Panfeng Li

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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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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

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5 · Who and what money

Authors and funding

1 author.

Panfeng LiBusiness School, Zhengzhou University of Industrial Technology, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The Green Low-Carbon Circular Economy (GLCCE) represents a critical pathway toward achieving sustainable development, particularly within the context of ongoing urbanization in western China. This study investigates the role of open innovation, specifically through green innovation efficiency (GIE), in advancing GLCCE and fostering sustainable urban development. Chongqing Municipality serves as an empirical case, utilizing data from 2014 to 2023. Methods: An evaluation indicator system for GLCCE was established, encompassing dimensions of economic and social development, green development, low-carbon development, and circular development. The entropy weight-Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) model was employed to calculate Chongqing's GLCCE composite index. Subsequently, a panel regression model was developed to assess the impact of green innovation efficiency (GIE) on environmental quality. In this model, SO Results: The entropy weight-TOPSIS model revealed that Chongqing's GLCCE composite index increased from 0.405 in 2014 to 0.684 in 2023, with a peak of 0.866 in 2020, indicating significant overall progress in GLCCE implementation. The panel regression analysis demonstrated that GIE significantly reduces SO Discussion: The findings highlight substantial advancements in Chongqing's GLCCE and underscore the pivotal contribution of green innovation efficiency to this progress, particularly in enhancing environmental quality. The significant negative relationship between GIE and SO

Indexed as

CarbonConservation of Natural ResourcesEconomic DevelopmentSustainable DevelopmentChinaCitiesHumansUrbanizationCarbonentropy weight-TOPSISgreen innovation efficiencygreen low-carbon circular economypanel regression modelingsustainable city

Identifiers

PMID40717949
PMCPMC12289586

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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.