Along with the economic globalization and network generalization, this provides a good opportunity to the development of cross-border ecommerce trade. Based on this background, this paper sets ASEAN countries as an example to exploit the determinants of cross-border ecommerce trade including the export and the import, respectively. The panel data from the year of 1998 to 2016 will be employed to estimate the relationship between cross-border e-commerce trade and relevant variables under the dynamic ordinary least squares and the error correction model. The findings of this paper show that there is a long-run relationship between cross-border e-commerce trade and relevant variables. Generally speaking, the GDP(+) and real exchange rate(-export & +import) have an effect on cross-border e-commerce trade. However, the population (+) and the terms of trade (-) only have an effect on cross-border e-commerce import. The empirical evidences show that the GDP and the real exchange rate always affect the development of cross-border e-commerce trade. Therefore, all ASEAN countries should try their best to develop the economic growth and focus on the exchange rate regime so as to meet the need of crossborder e-commerce trade development.

Abstract
 1. Introduction
 2. Literature Review
 3. Theoretical Framework
 4. Estimation Model
  4.1. Variable Description
  4.2. Panel Unit Root Test
  4.3. Co-integration Test
  4.4. Results
 5. Conclusion
 References

• Yugang HE(Department of International Trade, Chonbuk National University)
• Jingnan WANG(College of Economics, Qufu Normal University) Corresponding Author