Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)

Research on China’s Export of Agricultural Products to the U.S.—Based on Trivariate Marginal Analysis

Authors
Xiaowen Guo1, *
1Graduate School of Management, Clark University, Worcester, MA, 01610, USA
*Corresponding author. Email: XiaowGuo@clarku.edu
Corresponding Author
Xiaowen Guo
Available Online 29 March 2023.
DOI
10.2991/978-94-6463-124-1_61How to use a DOI?
Keywords
Ternary margin; Export of agricultural products to the U.S.; Export competitiveness
Abstract

As a major agricultural country and a major agricultural trade country, China and the U.S. are of great significance in strengthening the supply chain of agricultural products, promoting international food security cooperation, and promoting global economic development. China and the U.S. have been important agricultural trade partners of each other for many years, and the two countries have close agricultural trade relations. This paper collects and collates the trade data of 816 agricultural products with six-digit HS codes from 2002 to 2019. Utilizing the cutting-edge research technique of export growth factor analysis, it examines the extensive margin, price margin, and quantity margin of China’s agricultural product exports to the U.S. as well as the extent to which these three marginal variables affect export competitiveness. The empirical study demonstrates that the extensive margin is the primary driver of China’s increasing agricultural exports to the U.S. The basic mode of China’s agricultural products exporting to the U.S. to win by volume has fundamentally changed, and the increase of its export trade volume mainly depends on the continuous increase of the types of agricultural products exported. The price margin can effectively improve the competitiveness of China’s agricultural exports to the U.S. in the short term. It has an obvious pulling effect on the export of China’s agricultural products to the U.S., and the price margin has the most obvious impact on the competitive advantage.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
Series
Advances in Economics, Business and Management Research
Publication Date
29 March 2023
ISBN
10.2991/978-94-6463-124-1_61
ISSN
2352-5428
DOI
10.2991/978-94-6463-124-1_61How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Xiaowen Guo
PY  - 2023
DA  - 2023/03/29
TI  - Research on China’s Export of Agricultural Products to the U.S.—Based on Trivariate Marginal Analysis
BT  - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022)
PB  - Atlantis Press
SP  - 517
EP  - 528
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-124-1_61
DO  - 10.2991/978-94-6463-124-1_61
ID  - Guo2023
ER  -