Evidence map›Paper›PMID 36429556›Full record

ArticleInternational journal of environmental research and public health2022

Impact of Digital Economy Development on Carbon Emission Efficiency: A Spatial Econometric Analysis Based on Chinese Provinces and Cities.

Liang Liu, Yuhan Zhang, Xiujuan Gong, Mengyue Li, Xue Li, Donglin Ren, Pan Jiang

Abstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Can the Digital Economy Promote the Upgrading of Urban Environmental Quality?International journal of environmental research and public health · 2023
    Article
  6. Horizontal COInternational journal of environmental research and public health · 2023
    Article
  7. Government Intervention, Structural Transformation, and Carbon Emissions: Evidence from China.International journal of environmental research and public health · 2023
    Article
  8. 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

7 authors.

Liang LiuSchool of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China.
Yuhan ZhangSchool of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China.
Xiujuan GongSchool of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China.
Mengyue LiSchool of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China.
Xue LiSchool of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China.
Donglin RenSchool of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China.
Pan JiangSchool of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China.ORCID 0000-0001-6506-8805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the realistic context of the development of China's digital economy and carbon peaking and carbon neutrality goals, to efficiently achieve high-quality economic and green and low-carbon transformation, this paper investigates the impact of digital economy development on the carbon emission efficiency of 30 Chinese provinces and cities from 2011-2019. In this paper, firstly, the digital economy development index and carbon emission efficiency are calculated by the entropy method and the Super-SBM-Undesirable Model. Secondly, the Spatial Lag Model (SAR) and the Spatial Durbin Model (SDM) are respectively constructed under the adjacency matrix and the geographic distance matrix to empirically test the spatial impact of the digital economy on carbon emission efficiency. The results show that: the digital economy development and carbon emission efficiency of Chinese provinces and cities both show the spatial distribution characteristics of stronger in the East and weaker in the Middle and West; the digital economy development in Chinese provinces and cities has a significantly positive direct and spatial spillover effect on carbon emission efficiency; there are differences in the direct and spatial spillover effects of various dimensions of the digital economy development on the carbon emission efficiency in Chinese provinces and cities; the direct effect of the digital economy development on the carbon emission efficiency in Chinese provinces and cities has significant regional heterogeneity among eastern, central, and western regions. This paper provides new empirical evidence for developing countries such as China to proactively develop a digital economy to promote energy conservation and emission reduction to realize green and low-carbon transformation.

Indexed as

CarbonCarbon DioxideCitiesEconomic DevelopmentSpatial AnalysisCarbonCarbon Dioxidecarbon emission efficiencydigital economyspatial effectssuper-SBM-undesirable model

Identifiers

PMID36429556
PMCPMC9690407

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Registered trials

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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.