Evidence map›Paper›PMID 36348982›Full record

ArticleTechnological forecasting and social change2023

The impact of medical infrastructure on regional innovation: An empirical analysis of China's prefecture-level cities.

Wei Feng, Hang Yuan

Abstract read
In one paragraph

Article in Technological forecasting and social change, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 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

2 authors.

Wei FengSchool of Economics and Management, Southeast University, PR China.
Hang YuanSchool of Economics and Management, Southeast University, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Because of public health emergencies, such as the COVID-19 pandemic, having an optimal medical infrastructure is an important way to maintain the normal operation of society and stimulate vitality in regional innovation. Based on the data on 260 cities at the prefecture level and above in China from 2001 to 2018, this paper investigates the characteristics and mechanisms of medical infrastructure on regional innovation. After a series of regressions, we robustly find that medical infrastructure has a significantly positive impact on regional innovation. In addition, based on the mediating effect model, the mechanism test shows that medical infrastructure can promote regional innovation through the channels of the natural population growth rate, educational level, and the environmental greening level. Finally, considering the urban heterogeneity, we find that the positive impact of medical infrastructure on regional innovation is reflected mainly in eastern and central cities, non-sub-provincial cities, and non-resource-based cities. These conclusions not only enrich the theoretical research on regional innovation from the perspective of medical infrastructure but also shed light on how to better promote regional innovation for China or even other countries.

Indexed as

Chinese citiesMechanism testMedical infrastructureRegional innovation

Identifiers

PMID36348982
PMCPMC9635316

What OpenQuestion holds

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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.