Evidence map›Paper›PMID 38196044›Full record

ArticleEnvironmental science and pollution research international2024

Innovation driver and county air pollution: cost-benefit analysis perspective.

Rongbo Zhang, Changbiao Zhong

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental science and pollution research international, 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
0.6field-weighted citation impact, top 34% of its field
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, 2 citations in OpenAlex.

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

2 authors at 2 institutions in 1 country.

Rongbo ZhangBusiness School, Qingdao University of Technology, Qingdao, 266520, China. zrb17784458429@163.com.ORCID http://orcid.org/0009-0007-4883-5022
Changbiao ZhongSchool of Economics, Shanghai University, Shanghai, 200444, China.
Qingdao University of Science and Technology · CNShanghai University · CN

Funding

National Natural Science Foundation of China General Project 71673182National Social Science Foundation of China Special Project 18VSJ023
6 · The paper itself

Abstract

Innovation is the first power to drive the county's green and low-carbon. It is crucial to explore the impact of innovation on air pollution from the perspective of counties at the bottom of the administrative division hierarchy. The article is aimed at exploring the direct impact effects, spatial spillover effects, impact mechanism pathways, non-linear relationships, and cost-benefits of innovation drive on air pollution in counties. To this end, based on the collection of county-level data from 2007 to 2020 in mainland China, the article constructs a fixed-effects model, a dynamic panel model, and a spatial Durbin model for analysis. For every 1% increase in the quantity of innovation, the county SO

Indexed as

Air PollutantsAir PollutionChinaCost-Benefit AnalysisEconomic DevelopmentEnvironmental PollutionSulfur DioxideAir PollutantsSulfur DioxideAir pollutionCost and benefit analysisCounty innovationInnovation driverMechanism path

Identifiers

PMID38196044
OpenAlexW4390698789

What OpenQuestion holds

Textmetadata
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.