Evidence map›Paper›PMID 36612760›Full record

ArticleInternational journal of environmental research and public health2022

Research on Theoretical Mechanism and Promotion Path of Digital Economy Driving China's Green Development under "Double Carbon" Background.

Zhen Feng, Sainan Cheng, Guohua Qu, Yunlong Cui, Jiameng Ye

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
6.8field-weighted citation impact, top 3% of its field
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

3 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Research on the Carbon Credit Exchange Strategy for Scrap Vehicles Based on Evolutionary Game Theory.International journal of environmental research and public health · 2023
    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

5 authors at 2 institutions in 1 country.

Zhen FengSchool of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China.
Sainan ChengSchool of Business Administration, Shanxi University of Finance and Economics, Taiyuan 030006, China.
Guohua QuSchool of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China.
Yunlong CuiSchool of Materials and Energy, University of Electronic Science and Technology of China, Chengdu 610054, China.
Jiameng YeSchool of Management Science and Engineering, Shanxi University of Finance and Economics, Taiyuan 030006, China.
Shanxi University of Finance and Economics · CNUniversity of Electronic Science and Technology of China · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Under the background of building a new pattern of "double cycle" development, the green meaning of the digital economy is highly valued. The innovative feature of the digital economy is forming a new economic growth pole, and gradually becomes the driving force for China's economic restructuring and green development; (2) methods: this paper empirically tests whether the digital economy can promote green development by using various econometric models based on panel dataset with 30 provinces from 2011 to 2019 in mainland China and measuring the development level of the digital economy and the greening index; (3) results: it is found that the digital economy can directly boost green development in greening degree of economic growth, resources and environment-carrying potential, and government policy support. The digital economy's influence on green development has an inverted U-shaped trend; environmental control is an effective regulatory variable with a substitution effect on green development. With an obvious regional heterogeneity, the digital economy promotes green development; the digital economy can greatly affect green growth through technical innovation through mechanism analysis. The robustness test supports the above conclusion; (4) conclusions: the findings provide a foundation for multi-party policymakers to effectively formulate and implement policies for the digital economy that encourage green growth.

Indexed as

Economic DevelopmentSustainable DevelopmentCarbonChinaGovernmentCarbondigital economyenvironmental regulationgreentechnical innovation

Identifiers

PMID36612760
PMCPMC9819576
OpenAlexW4313413706

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.