Evidence map›Paper›PMID 39967334›Full record

ArticleScience progress

Improving the employment in less-developed areas through low-carbon city pilot policy: A study on old revolutionary areas in China.

Zhonghua Wang, Zeyi Gong, Fengxiu Zhou

Abstract read
In one paragraph

Article in Science progress. 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.

Zhonghua WangInstitute of Soviet Area Revitalization, Jiangxi Normal University, Nanchang, China.ORCID 0009-0004-8547-1465
Zeyi GongSchool of Marxism, Jiangxi Normal University, Nanchang, China.ORCID 0009-0007-5238-6653
Fengxiu ZhouSchool of Business, Jiangxi Normal University, Nanchang, China.ORCID 0000-0002-7790-8856

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesUnderstanding approaches to promoting green development as well as to increasing employment in old revolutionary areas from the perspective of the "dual carbon" goals is important and, hence, needs to be studied.

methodsUsing city and enterprise panel data from 2007 to 2019, this study used a differential model to assess the impact of China's low-carbon city pilot policies on employment in old revolutionary base areas.

resultsThe results showed that the low-carbon city pilot policies could significantly reduce the carbon emissions of old revolutionary base areas as well as significantly promote an improvement in employment levels. Specifically, low-carbon policies could promote the green technological innovation of enterprises and optimize the industrial structure through both output effects and factor-substitution effects to create more jobs. In addition, the impact of low-carbon city pilot policies on employment in different industries and factor intensity was heterogeneous, and the employment promotion effect was more significant in low-energy industries and non-labor-intensive enterprises.

conclusionsThe research results can enrich the theoretical basis of regional development planning in China, and provide important references that can be used to both stabilize the employment of residents and promote high-quality development in underdeveloped areas.

Indexed as

China's old revolutionary areasdifference-in-differences methodemploymentgreen transformationLow-carbon development policies

Identifiers

PMID39967334
PMCPMC11863251

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LicenceCC BY-NC
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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.