Evidence map›Paper›PMID 36612887›Full record

ArticleInternational journal of environmental research and public health2022

How the Pilot Low-Carbon City Policy Promotes Urban Green Innovation: Based on Temporal-Spatial Dual Perspectives.

Xianghua Yue, Shikuan Zhao, Xin Ding, Long Xin

Abstract read
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. 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

4 authors.

Xianghua YueSchool of Economics and Management, Xiangnan University, Chenzhou 423000, China.ORCID 0000-0002-2502-0302
Shikuan ZhaoSchool of Public Policy and Administration, Chongqing University, Chongqing 400044, China.ORCID 0000-0001-7766-7071
Xin DingSchool of Finance, Capital University of Economics and Business, Beijing 100070, China.
Long XinSchool of Economics and Management, Xinjiang University, Urumqi 830046, China.ORCID 0000-0002-8239-7536

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancing green innovation levels is an important objective of the pilot low-carbon city policy (PLCC) in China, but the spatial and temporal heterogeneity of the PLCC policy's effect on green innovation is unclear. Based on panel data from 285 Chinese cities during 2005-2020, this paper assesses the impact of PLCC on regional green innovation using the difference-in-difference (DID) method. The empirical results demonstrate that the PLCC can obviously promote urban green innovation. In terms of the temporal dimension, the policy effect of PLCC on regional green innovation shows an inverted "U" shape and peaks in the seventh year after implementation. From the spatial dimension, the PLCC can promote surrounding cities' green innovation through spatial spillover effects within 200 km, and the spillover effect decreases with increasing distance. Mechanism analysis indicates that the PLCC policy can promote regional green innovation by enhancing regional environmental regulations and alleviating financing constraints. This paper explores the temporal and spatial policy effects of PLCC, which can provide effective paths and policy recommendations for China to achieve its "dual carbon" goals.

Indexed as

CarbonChinaCitiesEconomic DevelopmentHumansPolicyCarbondifference-in-differencegreen innovationintermediary mechanismpilot low-carbon city policytemporal-spatial heterogeneity

Identifiers

PMID36612887
PMCPMC9819387

What OpenQuestion holds

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LicenceCC BY
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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.