ArticleHeliyon2024
The impact of smart manufacturing demonstration projects on green innovation of Chinese firms: Based on random forest methods.
Article in Heliyon, 2024. 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.
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Who cites it
1 citing paper in PubMed.
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Employing the data of Chinese A-share listed firms from 2010 to 2020 and random forest approaches, this paper investigates whether and how smart manufacturing demonstration projects influence green innovation of firms. The main results are as follows. First, smart manufacturing demonstration projects contribute to promoting firms' green innovation. Additionally, information processing capability improvement, innovation efficiency enhancement, public attention increasement, and signal effect are the main channels that improve firms' green innovation. Finally, the positive effect of smart manufacturing demonstration projects on firms' green innovation is pronounced for capital-intensive firms, and firms in western and eastern regions.
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Registered trials
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