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<p>In the context of the rapid development of the Internet, the digital economy pattern and the rule game of digital trade are becoming more and more intense. This paper constructs a competitiveness analysis model through the development of digital trade and combines the entropy value method and gray correlation to construct a comprehensive measurement model of the development level of digital trade. Similarly, it utilizes the Tel index as a gauge of the development space difference and develops a global autocorrelation model to examine its influences. An analysis of the positioning of China’s digital trade development trend is performed based on this basis. The average annual growth rate of digital trade development is 0.133, and through the correlation test of regression analysis, the per capita GDP is significant at 5% significance level with a coefficient of 0.0961. while the digital trade export value is significant at 1% significance level with a coefficient of 0.358, however, the degree of openness to the outside world is significant at 1% significance level, but the value is a negative one as −0.1585, which validates that Digital trade is carried by the Internet, and its transaction process is relatively less dependent on the logistics of goods in reality. By measuring the development level of digital trade, it is possible to propose better strategies for strategic development planning.</p>
</abstract>

In the context of the rapid development of the Internet, the digital economy pattern and the rule game of digital trade are becoming more and more intense. This paper constructs a competitiveness analysis model through the development of digital trade and combines the entropy value method and gray correlation to construct a comprehensive measurement model of the development level of digital trade. Similarly, it utilizes the Tel index as a gauge of the development space difference and develops a global autocorrelation model to examine its influences. An analysis of the positioning of China’s digital trade development trend is performed based on this basis. The average annual growth rate of digital trade development is 0.133, and through the correlation test of regression analysis, the per capita GDP is significant at 5% significance level with a coefficient of 0.0961. while the digital trade export value is significant at 1% significance level with a coefficient of 0.358, however, the degree of openness to the outside world is significant at 1% significance level, but the value is a negative one as −0.1585, which validates that Digital trade is carried by the Internet, and its transaction process is relatively less dependent on the logistics of goods in reality. By measuring the development level of digital trade, it is possible to propose better strategies for strategic development planning.

Development trend and strategic positioning of China’s digital trade in the context of the Internet

Xi’an University of Finance and Economics

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

In the context of the rapid development of the Internet, the digital economy pattern and the rule game of digital trade are becoming more and more intense....

Development trend and strategic positioning of China’s digital trade in the context of the Internet

Publié en ligne: 31 janv. 2024

Pages: -

Reçu: 15 déc. 2023

Accepté: 21 déc. 2023

DOI: https://doi.org/10.2478/amns-2024-0117

Mots clés
Entropy value method, Development level measurement, Development space difference, Gray correlation, Digital trade

© 2024 Xiwei Chu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Development trend and strategic positioning of China’s digital trade in the context of the Internet

Publié en ligne: 31 janv. 2024

Pages: -

Reçu: 15 déc. 2023

Accepté: 21 déc. 2023

DOI: https://doi.org/10.2478/amns-2024-0117

Mots clésEntropy value method, Development level measurement, Development space difference, Gray correlation, Digital trade

© 2024 Xiwei Chu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Mots clés
Entropy value method, Development level measurement, Development space difference, Gray correlation, Digital trade