Evidence map›Paper›PMID 36857335›Full record

ArticlePloS one2023

Study on energy rebound effects of China's industries.

Guangqing Xu, Danze Huang, Xiaoyu Chen, Mengyao Chen

Abstract read
In one paragraph

Article in PloS one, 2023. 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

4 authors.

Guangqing XuSchool of Environment and Natural Resources, Renmin University of China, Beijing, China.
Danze HuangSchool of Science, Hong Kong University of Science and Technology, Hong Kong, China.
Xiaoyu ChenDepartment of Strategic Investment, Jinshan Capital Group, Shanghai, China.
Mengyao ChenSchool of Environment and Natural Resources, Renmin University of China, Beijing, China.ORCID 0000-0002-2048-5485

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From the perspective of generalized technological progress, this study investigates the energy rebound effects on China's domestic overall and the country's various industries using 2005-2017 data. The results showed that the rebound effect of the domestic overall is driven mainly by the secondary sector. The domestic overall and high-energy-consuming industries decrease the rebound effects, whereas low-energy-consuming industries increase the rebound effects. As China's industrial structure does not lean toward high-energy-consuming industries, this implies that the Industrial Restructuring Initiative that began in the Chinese government's "Eleventh Five-Year Plan" has effectively slowed down the rebound effects of high-energy-consuming industries, and the feedback effect of self-reinforcement within the economic system was offset. The results also implied that energy efficiency policies should shift to low-energy-consuming industries; the rebound effects of the energy industries could be lessened, the energy efficiency of low-energy-consuming industries could be increased, and the industrial structure could be further optimized by implementing an appropriate pricing in electricity.

Indexed as

Economic DevelopmentIndustryChinaElectricity

Identifiers

PMID36857335
PMCPMC9977012

What OpenQuestion holds

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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.