Evidence map›Paper›PMID 39572751›Full record

ArticleScientific reports2024

Impact of digital trade policy on regional carbon efficiency: a quasi-experimental study in China.

Lin Ni, Huwei Wen, Xiaoyan Ding

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

3 authors.

Lin NiSchool of Business, Applied Technology College of Soochow University, Kunshan, 215325, China.
Huwei WenSchool of Economics and Management, Nanchang University, Nanchang, 30031, Jiangxi, China. wenhuwei@ncu.edu.cn.
Xiaoyan DingSchool of Business, Applied Technology College of Soochow University, Kunshan, 215325, China.

Funding

Management Science Program of the Natural Science Foundation of Jiangxi Province of China 20232BAA10040
6 · The paper itself

Abstract

Digital trade brings opportunities for the region to develop an open economy, and also leads to changes in regional green productivity and progress towards carbon neutrality. This study uses pilot policies of cross-border e-commerce cities as a quasi-experiment to examine how digital trade policies affect regional carbon emission efficiency. It is found that the carbon efficiency of the pilot cities was significantly improved after the intervention policy of digital trade. This conclusion is still supported by the entropy balance matching sample and the estimator after considering the heterogeneity treatment effect. Digital trade policies can help developing countries improve sustainable competitiveness and pursue carbon neutrality. In addition, digital trade can significantly promote regional energy productivity and green production technology, which is conducive to the improvement of carbon emission efficiency. These findings provide implications and insights for making low-carbon development policies in the era of digital trade.

Indexed as

Carbon efficiencyChinaDigital tradeEntropy balancingQuasi-experiment

Identifiers

PMID39572751
PMCPMC11582560

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.