Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China

Research Article

An Empirical Study on The Impact of Cross-Border E-Commerce on China's Export Structure

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  • @INPROCEEDINGS{10.4108/eai.17-6-2022.2322839,
        author={Minjie  KANG and Shanshan  JIN and Xiaowen  WANG},
        title={An Empirical Study on The Impact of Cross-Border E-Commerce on China's Export Structure},
        proceedings={Proceedings of the International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2022, 17-19 June 2022, Qingdao, China},
        publisher={EAI},
        proceedings_a={ICIDC},
        year={2022},
        month={10},
        keywords={cross-border e-commerce china's export trade var model},
        doi={10.4108/eai.17-6-2022.2322839}
    }
    
  • Minjie KANG
    Shanshan JIN
    Xiaowen WANG
    Year: 2022
    An Empirical Study on The Impact of Cross-Border E-Commerce on China's Export Structure
    ICIDC
    EAI
    DOI: 10.4108/eai.17-6-2022.2322839
Minjie KANG1,*, Shanshan JIN1, Xiaowen WANG1
  • 1: Dalian University
*Contact email: kangminjie@sina.com

Abstract

This paper uses time series data from 2005 to 2020, takes cross-border e-commerce trade volume as the explanatory variable, and selects the proportion of mechanical and electrical products that can represent the significant characteristics of China's export structure in total export as the explained variable to build a VAR model. The main conclusions are as follows: there is a cointegration relationship between the original sequence data series of export proportion of electromechanical products and the logarithmic sequence of cross-border e-commerce trade volume after first-order difference. The VAR model with 3 order lag is constructed, and the fitting effect is good and the model is stable. The proportion of mechanical and electrical products responds to the development of cross-border e-commerce with a fluctuation range of 1% and periodic fluctuations in 4 years. The testing model can determine that the development of cross-border e-commerce is the Granger cause of the proportion change of mechanical and electrical products. The research results of this paper can provide reference for related researches on the promotion effect of cross-border e-commerce on China's export.