ArticleHeliyon2023
Is smart carbon emission reduction justified in China? Evidence from national big data comprehensive pilot zones.
Article in Heliyon, 2023. 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.
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The intelligent revolution caused by new digital technologies has provided new impetus to reduce carbon emissions. However, the current research on new digital technologies and carbon emissions is still in its infancy and lacks empirical conclusions between them. Therefore, this paper studies the impact of new digital technologies on carbon emissions, identifies its mechanism, and analyzes the regional heterogeneity of its effects. This research treats the National Big Data Comprehensive Pilot Zones pilot in China as a quasi-natural experiment for the development of new digital technologies along with city-level data covering from 2011 to 2019 to conduct a staggered difference-in-difference (DID) model analysis. We find that new digital technologies significantly reduce carbon emissions. This conclusion is still valid after a series of robustness tests such as heterogeneity treatment effect analysis, ex-ante trend test, spillover effect test, and placebo test. Additionally, new digital technologies can reduce carbon emissions by promoting the transformation of industrial structure, improving the level of green technology innovation, and promoting industrial agglomeration. At the same time, the heterogeneity analysis shows that new digital technologies' carbon emission reduction effect is more evident in non-western regions, southern regions, and large cities. To expand the carbon emission reduction effect of new digital technologies, the government should promote the development and application of new digital technologies, and implement differentiated policies based on regional characteristics.
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Registered trials
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.