贵州财经大学学报 ›› 2026 ›› Issue (01): 22-34.

• 宏观经济 • 上一篇    

工业智能化赋能中国对外直接投资

周鹏冉, 薛军   

  1. 南开大学 经济学院, 天津 300071
  • 收稿日期:2024-12-17 发布日期:2026-01-22
  • 作者简介:周鹏冉(1996—),女,河南南阳人,南开大学经济学院博士研究生,研究方向为世界经济与国际投资;薛军(1967—),男,河北张家口人,南开大学跨国公司研究中心、经济学院教授,经济学博士,研究方向为世界经济、国际投资和亚太经济。
  • 基金资助:
    国家社会科学基金“超大规模国内市场优势与国内外市场联动:理论机制和实现路径”(23ZDA054);天津市教委社会科学重大项目“价值网络重构对天津市民营企业高质量发展的影响机理研究”(2022JWZD03);教育部人文社会科学重点研究基地南开大学跨国公司研究中心“十四五”自设课题(CTSNK202401)

Industrial Intelligence Empowers China’s Outward Foreign Direct Investment

ZHOU Pengran, XUE Jun   

  1. School of Economics, Nankai University, Tianjin 300071, China
  • Received:2024-12-17 Published:2026-01-22

摘要: 在全球贸易摩擦加剧、产业链重构的背景下,中国对外直接投资格局正发生着前所未有的重塑和调整。与此同时,工业智能化的高速发展成为中国对外直接投资战略布局中不可忽视的关键变量。文章基于2011—2022年中国212个地级及以上城市的面板数据,全面分析了工业智能化对中国对外直接投资(OFDI)的影响。研究结果表明:第一,工业智能化显著促进了中国OFDI,在克服内生性问题及进行一系列稳健性检验后,该结论依然成立。第二,工业智能化通过提高生产率,并进而加剧国内市场竞争,从而推动企业进行OFDI。第三,所在区域人力资本越丰富、对外开放程度越高,该促进效应越明显。第四,工业智能化对OFDI的影响具有数字金融的单一门槛效应,当所在区域的数字金融发展到一定水平之后,才呈现显著的积极效应。第五,工业智能化对中国OFDI的影响具有显著的异质性,仅在中国“胡焕庸线”沿线及东南地区呈现显著的促进作用;而且该促进效应在非资源城市、知识产权保护较好、数字基础设施更完善的区域更为显著。研究从工业智能化技术赋能的视角,重新审视了中国OFDI的新动因,丰富了工业智能化发展与中国OFDI的理论与实证研究,为中国在数字经济时代下高效利用工业智能化来提高全球竞争力、优化“走出去”战略布局提供了一定的政策启示。

关键词: 工业智能化, 对外直接投资, 生产率, 数字金融, 知识产权保护

Abstract: Against the backdrop of escalating global trade frictions and the restructuring of industrial chains, China’s pattern of outward direct investment is undergoing an unprecedented reshaping and adjustment. Meanwhile, the rapid development of industrial intelligence has become an indispensable key variable in China’s strategic layout of outward direct investment. The article comprehensively analyzes the impact of industrial intelligence on China’s outward foreign direct investment (OFDI) based on panel data from 212 prefecture level and above cities in China from 2011 to 2022. The research results are as follows. Firstly, industrial intelligence significantly promotes China’s OFDI, and this conclusion still holds true after overcoming endogeneity issues and conducting a series of robustness tests. Secondly, industrial intelligence can increase productivity to expand OFDI and intensify domestic market competition to drive OFDI. Thirdly, the richer the human capital and the higher the degree of openness to the outside world in the region, the more obvious the promotion effect. Fourthly, the impact of industrial intelligence on OFDI has a single threshold effect of digital finance, which only shows significant positive effects when the digital finance development in the region reaches a certain level. Fifthly, the impact of industrial intelligence on China’s OFDI shows significant heterogeneity, with only a significant promoting effect along the "Hu Huanyong Line" and in the southeastern region of China; And the promotion effect is more significant in non resource cities, areas with better intellectual property protection, and more complete digital infrastructure. From the perspective of industrial intelligence technology empowerment, this study re-examines the new driving forces of China’s OFDI, enriches the theoretical and empirical research on the development of industrial intelligence and China’s OFDI, and provides certain policy implications for China to efficiently utilize industrial intelligence to enhance global competitiveness and optimize the "going global" strategic layout in the digital economy era.

Key words: industrial intelligence, OFDI, productivity, digital finance, intellectual property protection

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