The impact of resident demand on industrial carbon emissions and the transmission path: Evidence from Zhejiang Province.

Huiqin Jiang, Yingying Zhang, Yixuan Li, Zhaohang Yu, Chen Feng

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. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Huiqin JiangSchool of Public Administration, Zhejiang University of Technology, Hangzhou, Zhejiang, 310023, PR China.

Yingying ZhangSchool of Public Administration, Zhejiang University of Technology, Hangzhou, Zhejiang, 310023, PR China.

Yixuan LiSchool of Public Administration, Zhejiang University of Technology, Hangzhou, Zhejiang, 310023, PR China.

Zhaohang YuSchool of Public Administration, Zhejiang University of Technology, Hangzhou, Zhejiang, 310023, PR China.

Chen FengSchool of Public Administration, Zhejiang University of Technology, Hangzhou, Zhejiang, 310023, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The industrial sector is the main source of carbon emissions in most developing countries. Little research has been conducted on demand-side factors and how the demand side affects industrial emissions through the supply side. Therefore, this article selects 2004-2019 panel data on Zhejiang Province, and a multiple linear regression model and a multiple mediating effects model are adopted to explore the impact mechanism and relationship between demand and industrial emissions. We find the following: (i) There is a significant positive influence of demand on emissions, and (ii) demand has an indirect inhibitory effect on industrial emissions through factor market distortion and an indirect promoting effect through technological innovation and energy consumption. (iii) There are two chain intermediary paths led by factor market distortion that have a negative impact on industrial emissions and a chain path led by technological innovation that has a positive impact.

Indexed as

Demand sideIndustrial sectorMultiple mediating effectsSupply side

Identifiers

PMID38192841

DOI10.1016/j.heliyon.2023.e23787

PMCPMC10772195

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.