The effect of producer service agglomeration externalities on urban green innovation efficiency in China.

Siyuan Xuan, Kaiyao Wu, Jing Deng

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. 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.

Analysis of the spatio-temporal variability and convergence of green development efficiency of city clusters in the middle reaches of the Yangtze River in China.Heliyon · 2024
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

3 authors.

Siyuan XuanSchool of Business, Nanjing University, Nanjing, 210093, China.

Kaiyao WuSchool of Statistics and Information, Shanghai University of International Business and Economics, Shanghai, 201620, China.

Jing DengJiangsu Institute of Industrial Development, Nanjing University of Finance and Economics, Nanjing, 210023, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For China's urban industrial layout and green innovation, determining which types of producer service agglomeration externalities (PSAE) are most conducive to the rise of green innovation efficiency (GIE) has theoretical and practical relevance. Based on the panel data of 274 prefecture-level cities in China from 2006 to 2019, this paper adopted the super-SBM model with unexpected output to evaluate the urban GIE. It used the Moran I index to judge the spatial auto-correlation of GIE, followed by the spatial Durbin model (SDM) to examine the spatial spillover effect of PSAE on the urban GIE. Then we used a comprehensive threshold effects model to investigate the non-linear relationship. The results demonstrate that Marshall-Arrow-Romer externality (MARE) and Jacobs externality (JACE) are curbing the urban GIE. Porter externality (PORTERE) inhibits the region and promotes the surrounding area. Furthermore, these effects also depend on the stage of economic development.

Indexed as

Green innovation efficiencyJacobs externalityMarshall-Arrow-Romer externalityPorter externalityProducer service agglomeration externalities

Identifiers

PMID38327453

DOI10.1016/j.heliyon.2024.e25085

PMCPMC10847860

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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.