ArticleScientific reports2025
A study on green innovation and entrepreneurship in the dual carbon era and its implications for the energy market.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- The Effects of Haze Pollution on County-level Entrepreneurship Activity in China.Scientific reports · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
The term "dual-carbon goals" refers to the commitment of nations or regions to achieving carbon peaking and carbon neutrality. In this context, this study specifically denotes reducing carbon emissions and promoting the transformation and upgrading of energy markets through green innovation and entrepreneurial activities. This study explores the dynamic relationships among key variables in the energy market. It focuses on the impact of investments in green technological innovation on the balance of energy supply and demand, as well as market demand. The findings aim to provide scientific evidence to support the achievement of sustainable development goals. Through system dynamics modeling, this study analyzes the intricate relationships among energy demand, supply, green technology innovation investment, and market demand. In the realm of complex network analysis, market participants are categorized into conservative, moderate, and innovative groups, and their market behavior patterns are examined. In the data mining and machine learning phases, this study constructed a predictive model with an accuracy rate of 85%, forecasting the impact of future green innovation and entrepreneurship on market demand and energy supply. The results indicate that, in the dual-carbon era, investment in green innovation and entrepreneurship plays a significant role. This study enhances the proportion of renewable energy in the market, reduces carbon emissions, and accelerates the transformation of energy demand. Conservative market participants dominate the energy market, but the rise of innovative market participants suggests a positive influence of green innovation and entrepreneurship on market structure. The accuracy of the predictive model provides a reliable basis for policy formulation and strategic planning, offering scientific guidance for achieving sustainable energy development goals.
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Registered trials
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