Research on the Impact of Cross-border E-Commerce on Economic Growth in China – An Empirical Test Based on VEC Model
- DOI
- 10.2991/978-94-6463-005-3_19How to use a DOI?
- Keywords
- Cross-border e-commerce; Economic growth; VEC model; Cointegration test; Impulse response; Variance decomposition
- Abstract
Along with the vigorous development of cross-border e-commerce in China, the research on the cross-border e-commerce domain has also attracted great attention from the academic community. The research covers cross-border e-commerce development model, logistics synergy, trade cost and law. However, in terms of empirical research, there are very few studies on the measurement of economic growth driven by cross-border e-commerce. In view of this, a vector error correction model (VEC) is established to analyze the co-integration relationship between cross-border e-commerce and economic growth in China by means of co-integration test, impulse response analysis and variance decomposition method by selecting the data of cross-border e-commerce transactions and GDP from 2000 to 2020, and the empirical method is used to corroborate the significant positive impact of cross-border e-commerce on economic growth in China.
- 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 - Yaping Jiang PY - 2022 DA - 2022/11/10 TI - Research on the Impact of Cross-border E-Commerce on Economic Growth in China – An Empirical Test Based on VEC Model BT - Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022) PB - Atlantis Press SP - 183 EP - 191 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-005-3_19 DO - 10.2991/978-94-6463-005-3_19 ID - Jiang2022 ER -