Paper
28 March 2023 Research on the influence of technology innovation, consumption innovation on foreign trade upgrading based on VAR model
Xiaodong Bo, Honglei Liu
Author Affiliations +
Proceedings Volume 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022); 125972H (2023) https://doi.org/10.1117/12.2672759
Event: Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 2022, Nanjing, China
Abstract
In view of the relationship between technology innovation, consumption innovation and foreign trade upgrading, selecting the relevant data from 2000 to 2020it is found that technological innovation drives consumption innovation by promoting changes in consumption patterns and consumption levels, making consumption more personalized, knowledgeable, intelligent and fast, which is the key and core of driving the upgrading of foreign trade. Through the empirical test of VAR models, it is found that there is a significant positive correlation between China’s trade with foreign countries and the consumption level and structure of foreign residents in the long run. But the innovation of the country’s high-tech, high-value-added products cannot keep up with the constant changes in foreign consumer demand, which restricts the adjustment and optimization of the country’s export product structure and hinders the country’s foreign trade transformation and upgrading. To this end, China needs to change its foreign trade marketing strategy and model, and participate in economic globalization and international division of labor at a deeper and higher level.
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Xiaodong Bo and Honglei Liu "Research on the influence of technology innovation, consumption innovation on foreign trade upgrading based on VAR model", Proc. SPIE 12597, Second International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2022), 125972H (28 March 2023); https://doi.org/10.1117/12.2672759
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KEYWORDS
Analytical research

Industry

Statistical analysis

Data modeling

Intellectual property

Sustainability

Reflection

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