Evidence map›Paper›PMID 36613174›Full record

ArticleInternational journal of environmental research and public health2023

The Environment-Economy Synergistic Improvement Effect of the "Two-Oriented Society" Pilot Area in China.

Chunying Cui, Dengke He, Ziwei Yan

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 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

3 authors.

Chunying CuiSchool of Economics and Management, Yiwu Industrial & Commercial College, Yiwu 322000, China.
Dengke HeSchool of Economics and Management, Yangtze University, Jingzhou 434023, China.
Ziwei YanResearch Center of Internet and Industrial Development, Wenhua College, Wuhan 430074, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The establishment of the "two-oriented society" pilot zone is China's effort to explore an economic-environmental synergistic growth approach, and it is an important basis on which to solve the dilemma between economic development and environmental protection in less developed countries. By constructing an inter-provincial panel dataset and taking the "two-oriented society" pilot area as a policy intervention event, a quasi-natural experiment was conducted to evaluate the observed differences in economic growth and pollutant emissions using counterfactual estimation. The results show that, during the policy intervention period, the emission of solid waste in Hubei and Hunan provinces was significantly reduced, and the level of haze particles in Hunan province was also remarkably suppressed; however, the environmental emission problems such as water pollution were not improved in comparison to the national level. At the same time, the economic growth rate of Hubei and Hunan provinces was clearly better than the counterfactual control group after the policy pilot, showing the economic promotion effect of the construction of the "two-oriented society" pilot zone. We conclude that the establishment of the "two-oriented society" provides a reference for a successful path to sustainable growth, and there is no absolute contradiction between economic growth and environmental friendliness.

Indexed as

Conservation of Natural ResourcesEconomic DevelopmentChinaClimatedifference-in-differencesenvironment–economy synergistic improvementsynthetic control method“two-oriented society” pilot area

Identifiers

PMID36613174
PMCPMC9819667

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.