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Cross-Border E-Commerce Trade and Industrial Clusters: Evidence from China

Chenggang Wang (), Tiansen Liu (), Jinliang Wang (), Dongrong Li (), Duo Wen (), Polina Ziomkovskaya () and Yang Zhao ()
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Chenggang Wang: School of Economics and Business Administration, Heilongjiang University, Harbin 150080, China
Tiansen Liu: School of Economics and Management, Harbin Engineering University, Harbin 150001, China
Jinliang Wang: School of Economics and Business Administration, Heilongjiang University, Harbin 150080, China
Dongrong Li: School of Economics and Business Administration, Heilongjiang University, Harbin 150080, China
Duo Wen: Business School, Leeds University, Leeds LS2 9JT, UK
Polina Ziomkovskaya: School of Economics and Business Administration, Heilongjiang University, Harbin 150080, China
Yang Zhao: School of Economics and Business Administration, Heilongjiang University, Harbin 150080, China

Sustainability, 2022, vol. 14, issue 6, 1-22

Abstract: Combining the theories of cross-border e-commerce trade, industrial cluster management, coordinated development, and sustainable development, this paper explores the problem of the coordinated development path of China’s cross-border e-commerce trade and industrial clusters. The research purpose of this paper is to propose relevant suggestions to promote the sustainable coordinated development of cross-border e-commerce trade and industrial clusters by revealing the inherent scientific laws of the sustainable coordinated development of them. By using a literature survey method, structural equation method, and system analysis method, on the basis of constructing a model for the coordinated development of cross-border e-commerce trade and industrial clusters, this paper conducts in-depth empirical analysis combined with relevant research data and draws research conclusions. The research conclusions of this paper are as follows: (1) This paper verifies all the research hypotheses proposed. All the research hypotheses proposed in this paper are supported by valid data and have passed the empirical test. (2) Using data to scientifically prove that there is an obvious positive correlation between cross-border e-commerce trade and industrial clusters. (3) There is an obvious positive interaction between the main components of cross-border e-commerce trade and the main components of industrial clusters. Moreover, under the influence of the external environment, the two component systems can also promote the sustainable coordinated development of cross-border e-commerce trade and the sustainability of industrial clusters. (4) This paper puts forward countermeasures and suggestions to promote the sustainable coordinated development of cross-border e-commerce trade and industrial clusters.

Keywords: cross-border e-commerce; industrial clusters; collaborative paths; hypothesis testing (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
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