当代财经 ›› 2017, Vol. 0 ›› Issue (09): 224-.

• • 上一篇    

互联网内生贸易、网址链接数据与增长边际效应——理论模型及来自中国的经验证据

张奕芳   

  1. (中国人民大学 国际关系学院,北京 100872)
  • 收稿日期:2017-05-15 发布日期:2021-01-21
  • 作者简介:张奕芳,中国人民大学博士研究生,主要从事国际贸易理论研究,联系方式ivyzhang03@163.com。

Internet Endogenous Trade, URL Linked Data and Growth Marginal Effect: Theoretical Model and Empirical Evidences from China

ZHANG Yi-Fang   

  1. (Renmin University, Beijing 100872, China)
  • Received:2017-05-15 Published:2021-01-21

摘要: 近年来互联网已逐步成为影响贸易的关键因素,在加快推进我国出口转型升级的背景下,深入分析互联网内生贸易条件下的出口增长边际效应,寻找新出口增长点具有重要意义。通过对Melitz(2003)模型的基本框架进行扩展,将互联网对贸易的影响内生化,重点探讨互联网对出口增长三元边际的影响,并以2005—2015年中国21个主要出口地区数据为样本,对理论模型的结果进行计量检验,结果发现互联网能够使我国出口增长广度和数量边际增加,同时降低价格边际,且其对出口增长广度的影响更为显著。

关键词: 互联网内生贸易,网址链接数据,增长边际效应

Abstract: In recent years, Internet has become one of the most important factors affecting international trade. In order to promote the transformation and upgrading of China’s export, it is of great significance to conduct an in-depth analysis of the marginal effect of export growth under the conditions of internet endogenous trade, which could help us find the new growth point of export. Through the extension of the basic framework of Melitz’s model (2003) and endogenizing the impact of Internet on the trade, this paper tries to discuss the impact of Internet on the ternary margins of export growth. Then it takes the date of China’s 21 main export areas from 2005 to 2015 as the samples to conduct a variable inspection of the results from theoretical model. The findings show that Internet could increase the range of China’s export growth and quantity margin, while at the same time, decrease the price margin; and its impact on the range of export growth is even significant. Therefore, we should pay enough attention to the problem of how to strengthen the construction of China’s enterprise networks, especially the construction of the networks of foreign companies, and how to enhance China’s export growth in the manner of quick turnover and wide sale by taking the advantages of the convenient conditions created by the Internet network.

Key words: internet endogenous trade; URL linked data; growth marginal effect