Evidence map›Paper›PMID 39050475›Full record

ArticleHeliyon2024

Digital economy and fiscal decentralization: Drivers of green innovation in China.

Zijun Liu, Bingjie Liu, Hang Luo, Sheng Chen

Abstract read
In one paragraph

Article in Heliyon, 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
–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

4 authors.

Zijun LiuSchool of Public Policy and Administration, Chongqing University, Chongqing 400044, China.
Bingjie LiuSchool of Public Policy and Management, Guangxi University, Nanning 530000, China.
Hang LuoSchool of Public Policy and Administration, Chongqing University, Chongqing 400044, China.
Sheng ChenSchool of Public Policy and Administration, Chongqing University, Chongqing 400044, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of government behavior under a fiscal decentralization system on the interplay between the digital economy and both the quality and efficiency of green innovation poses an intriguing question. To address this, the present study employs two-way fixed-effects models, instrumental variables, and spatial econometric techniques, using data from 30 provinces and cities in China spanning 2004 to 2019. The findings reveal that the advancement of the digital economy significantly enhances the quality and efficiency of green innovation. In the context of China's fiscal decentralization, local governments frequently employ a "race to the top" strategy, amplifying the digital economy's beneficial impact on green innovation. This effect is particularly pronounced in economically prosperous regions that prioritize environmental assessments. Additionally, the study identifies a spatial demonstration effect, indicating that fiscal decentralization bolsters the digital economy's influence in adjacent regions. Consequently, policy recommendations include deepening the digital economy, advocating for increased fiscal autonomy for local governments, refining the performance appraisal systems for local officials, and establishing a well-calibrated environmental transfer mechanism. Further, leveraging the positive spatial correlations among local governments can foster a competitive yet collaborative landscape for green innovation.

Indexed as

Digital economyFiscal decentralizationGreen innovationQuality enhancement and efficiency improvement

Identifiers

PMID39050475
PMCPMC11268203

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.