five

Baseline regression results.

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://figshare.com/articles/dataset/Baseline_regression_results_/28871805
下载链接
链接失效反馈
官方服务:
资源简介:
Developing exports of technology-intensive products is a key focus for China’s high-quality foreign trade development. The rapid growth of global digital trade brings new opportunities and challenges for China’s exports of technology-intensive products. This paper utilizes panel data from 2005 to 2022. And we construct an extended gravity model to thoroughly investigate the impact of digital trade development in importing countries on China’s exports of technology-intensive products. The research findings indicate: (1) The development of digital trade in importing countries significantly promotes China’s exports of technology-intensive products. This effect is more pronounced beyond a certain threshold. (2) The reduction of trade costs and increased foreign direct investment play intermediary roles in facilitating the impact of digital trade in importing countries on China’s exports of technology-intensive products. However, institutional distance exerts a negative inhibitory effect on this process. (3) The impact of digital trade development in importing countries on China’s exports of technology products varies due to differences in product types, national income levels, regional characteristics, economic cooperation, and market potential. The conclusions of this paper provide theoretical and empirical evidence for the Chinese government to enhance the efficiency of exporting technology-intensive products.

技术密集型产品出口是中国外贸高质量发展的关键着力点。全球数字贸易的快速崛起为中国技术密集型产品出口带来了全新机遇与挑战。本文采用2005至2022年的面板数据,构建扩展引力模型,系统深入地探究进口国数字贸易发展对中国技术密集型产品出口的影响效应。研究结果表明:(1)进口国数字贸易发展显著促进中国技术密集型产品出口,且该促进效应在突破特定门槛后更为凸显;(2)贸易成本降低与外商直接投资提升在进口国数字贸易发展对中国技术密集型产品出口的影响路径中发挥中介作用,而制度距离则对该过程产生负向抑制效应;(3)进口国数字贸易发展对中国技术产品出口的影响因产品类型、国民收入水平、区域特征、经济合作关系及市场潜力的差异而呈现异质性。本文研究结论为中国政府提升技术密集型产品出口效率提供了理论与实证支撑。
创建时间:
2025-04-25
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作