Evidence map›Paper›PMID 38322834›Full record

ArticleHeliyon2024

Pathways to improving carbon emission efficiency in provinces: A comparative qualitative analysis based on the technology-organization-environment framework.

Qin Min, Ruifen Zhu, Leshan Peng

Abstract read
In one paragraph

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.

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.

Qin MinSchool of Software, China.
Ruifen ZhuSchool of Software, China.
Leshan PengSchool of Software, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Achieving carbon peaking and carbon neutrality are important issues for global climate governance. The study of carbon emission efficiency in China's provincial regions is of practical significance for the country to achieve carbon peaking and carbon neutrality goals. Based on the framework of Technology-Organization-Environment (TOE), choosing technological progress, economic development, industrial structure, energy structure, energy prices, and carbon emission trading market as condition variables, collecting the panel data from 30 provinces in China from 2010 to 2020, the mixed study of Necessary Condition Analysis (NCA) and the fuzzy set Qualitative Comparative Analysis (fsQCA) was used to explore the complex influence mechanism of carbon emission efficiency. The findings indicate: (1) none of the single conditions are necessary for the effect of carbon emission efficiency, but technology plays an important role in supporting the improvement of carbon emission efficiency. (2) There are four recipes for the improvement of carbon emission efficiency, which are summarized into four modes: Technology-Organization dual core modes, Environment core-Organization support modes, Technology-Organization-Environment linkage modes, and Organization core-Technology support modes. Among them, the recipe of Organization core-Technology support covers the largest number of provinces, indicating that for the developed provinces, it is necessary to accelerate technological innovation, make the deep integration of economic development and technological innovation, and promote the adjustment of the industrial structure, thereby improving the carbon emission efficiency (CEE). This study contributes to carbon emission efficiency literature by providing a new theoretical perspective based on the TOE analysis framework, and development strategies for provinces to optimize the combination according to their condition endowment.

Indexed as

Carbon emission efficiencyfsQCASuper-efficiency SBM modelTechnology-organization-environment framework

Identifiers

PMID38322834
PMCPMC10845727

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.