Evidence map›Paper›PMID 36875394›Full record

ArticleFrontiers in public health2023

Spatial network and driving factors of low-carbon patent applications in China from a public health perspective.

Feng Hu, Liping Qiu, Yang Xiang, Shaobin Wei, Han Sun, Hao Hu, Xiayan Weng, Lidan Mao, Ming Zeng

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
45.4field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 110 citations in OpenAlex.

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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

9 authors at 6 institutions in 1 country.

Feng HuInstitute of International Business and Economics Innovation and Governance, Shanghai University of International Business and Economics, Shanghai, China.
Liping QiuInstitute of International Business, Zhejiang Gongshang University, Hangzhou, China.
Yang XiangThe Second Bethune Clinical Medical College, Jilin University, Changchun, China.
Shaobin WeiChina Center for Economic Research, East China Normal University, Shanghai, China.
Han SunInstitute of Digital Economy and Green Development, Chifeng University, Chifeng, China.
Hao HuSchool of Economics, Shanghai University, Shanghai, China.
Xiayan WengSchool of MBA, Zhejiang Gongshang University, Hangzhou, China.
Lidan MaoHangzhou Business School, Zhejiang Gongshang University, Hangzhou, China.
Ming ZengSchool of Tourism Management, Zhangjiajie Institute of Aeronautical Engineering, Zhangjiajie, China.
Zhejiang Gongshang University · CNChifeng University · CNEast China Normal University · CNJilin University · CNShanghai University · CNShanghai University of International Business and Economics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The natural disasters and climate anomalies caused by increasing global carbon emissions have seriously threatened public health. To solve increasingly serious environmental pollution problems, the Chinese government has committed itself to achieving the goals of peak carbon emissions and carbon neutrality. The low-carbon patent application is an important means to achieve these goals and promote public health. Methods: This study analyzes the basic situation, spatial network, and influencing factors of low-carbon patent applications in China since 2001 at the provincial and urban agglomeration levels using social network analysis based on data from the Incopat global patent database. Results: The following findings are established. (1) From the number of low-carbon patent applications, the total number of low-carbon patent applications in China increased year by year, while the number of applications in the eastern region was larger than those in the central and western regions, but such regional differences had been decreasing. (2) At the interprovincial level, low-carbon patent applications showed a complex and multithreaded network structure. In particular, the eastern coastal provinces occupied the core position in the network. The weighted degree distribution of China's interprovincial low-carbon patent cooperation network is affected by various factors, including economic development, financial support, local scientific research level, and low-carbon awareness. (3) At the urban agglomeration level, the eastern coastal urban agglomerations showed a radial structure with the central city as the core. Urban innovation capability, economic development, low-carbon development awareness, level of technology import from overseas, and informatization level are highly correlated with the weighted degree of low-carbon cooperation networks of urban agglomerations. Discussion: This study provides ideas for the construction and governance of low-carbon technology innovation system and perspectives for theoretical research on public health and high-quality development in China.

Indexed as

Air PollutionPublic HealthCarbonChinaCarbonlow-carbon patent applicationpublic healthsocial networkspatial correlation structureurban agglomeration

Identifiers

PMID36875394
PMCPMC9981780
OpenAlexW4321240027

What Socratic 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 Socratic graph.