Evidence map›Paper›PMID 36429482›Full record

ArticleInternational journal of environmental research and public health2022

Does the Urban Agglomeration Policy Reduce Energy Intensity? Evidence from China.

Rui Ding, Tao Zhou, Jian Yin, Yilin Zhang, Siwei Shen, Jun Fu, Linyu Du, Yiming Du, Shihui Chen

Abstract read
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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. 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

9 authors.

Rui DingCollege of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China.ORCID 0000-0002-3542-3965
Tao ZhouCollege of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China.
Jian YinWest China Modernization Research Center, Guizhou University of Finance and Economics, Guiyang 550025, China.
Yilin ZhangCollege of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China.
Siwei ShenCollege of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China.
Jun FuCollege of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China.
Linyu DuCollege of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China.
Yiming DuCollege of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China.
Shihui ChenCollege of Big Data Application and Economics (Guiyang College of Big Data Finance), Guizhou University of Finance and Economics, Guiyang 550025, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the expansion of the scale of China's economy and the acceleration of urbanization, energy consumption is increasing, and environmental degradation and other problems have arisen. In order to solve such prominent problems, China proposed the "carbon peak" and "carbon neutral" targets in 2020. Although there are research conclusions about the impact of urbanization on energy intensity (

Indexed as

PolicyUrbanizationCarbonChinaCitiesCarbonDifference-In-Differences modelenergy intensitythe mediation mechanismthe urban agglomeration policy

Identifiers

PMID36429482
PMCPMC9690510

What OpenQuestion holds

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LicenceCC BY
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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.