Evidence map›Paper›PMID 37809573›Full record

ArticleHeliyon2023

Assessing regional economic growth through green financial policy: Insights from PSM-DID model on 107 cities of China.

Cheng Hu, Yan Wang

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 2 institutions in 1 country.

Cheng HuSchool of Economics and Management, Hanjiang Normal University, Shiyan, Hubei 442000, China.
Yan WangDept. of Economy and Trade, Hubei Industrial Polytechnic, Shiyan, Hubei 442000, China.
Hubei Polytechnic Institute · CNLingnan Normal University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The crucial role of green finance policies in advocating environmental sustainability cannot be overlooked and has resulted in an increased attention in recent years. Despite their significance, the connection between these policies and economic growth remains disputed among policymakers. This study presents an empirical analysis that aims to uncover the relationship between green finance policies and economic growth rates by analysing the data from 107 cities in China, spanning a period of 16 years from 2003 to 2019. The research focuses on the implications of green finance reforms and innovation pilot zones by employing PSM-DID model to evaluate their effects on the regional GDP by segregating the industries in primary, secondary, and tertiary industries. The results indicate that the green finance reforms and innovation pilot zones are associated with reduced growth rates of regional GDP for secondary industries. However, the growth rates of the tertiary industry are positively affected. Thus, the study offers valuable guidance and recommendations to policymakers and cities seeking to join the pilot zones for green financial reform to foster economic growth while supporting environmental sustainability. The findings of the study also contribute to the understanding of how targeted policy interventions, such as the establishment of pilot zones, can influence economic dynamics at the regional level and describes the complex relationship between policy interventions, economic growth, and industry composition, particularly in the context of environmental sustainability.

Indexed as

Green financial reform and innovation pilot zoneIndustrial structureRegional economy

Identifiers

PMID37809573
PMCPMC10558779
OpenAlexW4386349064

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.