Evidence map›Paper›PMID 37200300›Full record

ArticlePloS one2023

Influence analysis and promotion countermeasures of green finance policy in China-Traceability based on grounded theory and validation using the csQCA method.

Li Junjie, Wen Ke, Zhang Bei, Dai Xin, Qi Meng, Liu Bangfan

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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.

  1. Article
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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

6 authors.

Li JunjieSchool of Public Administration, Yanshan University, Qinhuangdao, China.
Wen KeSchool of Economics and Management, HanDan College, HanDan.
Zhang BeiInstitute of Marxism, Shandong University, Jinan, China.
Dai XinInstitute of Marxism, Chinese Academy of Social Sciences, Beijing, China.
Qi MengSchool of Public Administration, Yanshan University, Qinhuangdao, China.
Liu BangfanSchool of Public Administration, Yanshan University, Qinhuangdao, China.ORCID 0000-0003-0928-8736

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Green finance is closely related to sustainable energy development. Using the NVivo12plus software, a governance model of China's green finance policy was constructed using 22 green finance policy texts at the central level as research objects. Furthermore, based on the csQCA method, Tosmana software was used to develop and verify a theoretical model of 19 policy text cases. The research results demonstrate that policy belief, policy objectives, policy tools, policy feedback, and policy cycle are the main components of China's green finance policy governance. Furthermore, policy instruments are the fundamental factors affecting the governance effectiveness of China's green finance policy. Policy goals and policy feedback dominate the influence pattern of green finance policy in China. There are three modes driving the influence of green finance policies: regulation-oriented, collaborative-driven, and tool-guided. Finally, for the optimization and improvement of green finance policies, three forces must be improved: stimulus force, driving force, and promotion force.

Indexed as

Fiscal PolicyChinaEconomic DevelopmentGrounded TheoryPolicyRenewable Energy

Identifiers

PMID37200300
PMCPMC10194979

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.