Logistics Industry Growth, Factor Investment and Import and Export of Agricultural Products Trade Dynamics—Based on Xinjiang 2000-2019 Time Series Data

  • Kahaer Abula, Muhetaer Shadike, Buwajian Abula

Abstract

Taking Xinjiang data from 2000-2019 as a sample, vector autoregressive (VAR) model is used to verify the relationship between logistics development level and agricultural products import and export trade. The results show that the level of logistics development is highly correlated with the import and export trade of agricultural products, there is a long-term equilibrium relationship between various variables, and the volume of import and export of agricultural products is the one-way Granger reason of the total import and export trade of agricultural products, the other Granger causality. Generally speaking, Xinjiang logistics development and agricultural products import and export trade showed a good synergy between 2000-2019, but the significant level is relatively low, indicating that the level of logistics development and agricultural products import and export trade conditions and relations still need to be further improved. Therefore, some suggestions are put forward from three aspects: making full use of the new era to promote the development of the western region to form a new pattern, improving the service capacity of the logistics supply chain, and strengthening the construction of the green channel for the rapid customs clearance of agricultural products in Xinjiang.

How to Cite
Kahaer Abula, Muhetaer Shadike, Buwajian Abula. (1). Logistics Industry Growth, Factor Investment and Import and Export of Agricultural Products Trade Dynamics—Based on Xinjiang 2000-2019 Time Series Data. Forest Chemicals Review, 1787-1801. Retrieved from http://forestchemicalsreview.com/index.php/JFCR/article/view/1044
Section
Articles