Evidence map›Paper›PMID 36232245›Full record

ArticleInternational journal of environmental research and public health2022

Geo-Economic Linkages between China and the Countries along the 21st-Century Maritime Silk Road and Their Types.

Wei Hu, Yuejing Ge, Zhiding Hu, Shuai Ye, Feng Yang, Haining Jiang, Kun Hou, Yun Deng

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Wei HuCollege of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
Yuejing GeFaculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Zhiding HuInstitute for Global Innovation and Development, East China Normal University, Shanghai 200062, China.
Shuai YeSchool of Geographical Science, Qinghai Normal University, Xining 810008, China.
Feng YangSchool of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Haining JiangCollege of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.
Kun HouSchool of Remote Sensing and Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China.
Yun DengCollege of Geography and Environmental Sciences, Zhejiang Normal University, Jinhua 321004, China.

Funding

General Scientific Research Project of Department of Education of Zhejiang Province Y202147150Jinhua Science and Technology Research Program Project 2021D55366Major Program of National Social Science Foundation of China 20&ZD138National Natural Science Foundation of China 41871128National Natural Science Foundation of China 41971160
6 · The paper itself

Abstract

With the advances of the Belt and Road Initiative (BRI), the geo-economic interactions between China and countries along the 21st-Century Maritime Silk Road counties (MSRCs) continue to increase, and analyzing the geo-economic relations between China and the MSRCs is extremely important for a scientific understanding of bilateral geo-economic cooperation. Differently from the traditional logic of geo-economic competition and cooperation, we constructed a new framework based on the dominant factors of geo-economic relations and used an extreme random forest regression model to classify the geo-economic relation types between China and MSRCs from 2006 to 2017. The results show that the unbalanced development of investment and trade between China and MSRCs hindered the enhancement of the intensity of bilateral geo-economic linkage from 2006 to 2017. The "Matthew effect" of China's geo-economic flow linkage with MSRCs is significant. There are obvious differences in the dominant factors affecting the types of geo-economic relations between China and MSRCs, and the distribution of the importance of the indices of the types of geo-economic relations in each country is disordered. Geopolitics, markets, and resources have played important roles in the geo-economic linkages between China and MSRCs. There are five types of geo-economic relations between China and the MSRCs: market-oriented type, resource-oriented type, market-resource-oriented type, market-geopolitics-oriented type, and resource-geopolitics-oriented type, of which the market-oriented type is the most important type of geo-economic relations. In the future, China should focus on regional powers along the Maritime Silk Road for bilateral geo-economic cooperation, actively promote the balanced development of bilateral geo-economic elements flows, strengthen geopolitical cooperation with MSRCs, and formulate cooperation plans according to the types of geo-economic relations.

Indexed as

Economic DevelopmentSilkChinaSilkChinaextreme random forest regression modelgeo-economic linkagegeo-economic typesthe 21st-Century Maritime Silk Road (MSRCs)

Identifiers

PMID36232245
PMCPMC9566543

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