Digital Economy Development and Export Trade Complexity: The Mediating Effect of Technological Innovation
DOI:
https://doi.org/10.54097/ghknt739Keywords:
Digital economy, Export technological complexity, Machine learningAbstract
Against the backdrop of increasingly complex global economic conditions, intensifying trade frictions, and rising trade barriers, this paper uses panel data from 30 provinces and municipalities in China over an 11-year period to construct a digital economy indicator system and empirically examine the relationship among the digital economy, technological innovation, and export trade complexity. The results indicate that the development of the digital economy can significantly enhance the technological complexity of exports, thereby improving a country’s position in international trade. These findings remain robust after a series of robustness tests, including replacing explanatory variables and introducing lagged digital economy development indicators. Mechanism analysis shows that the development of the digital economy significantly promotes the level of innovation, which in turn increases the technological complexity of export products through innovation. Heterogeneity analysis reveals that the positive effect of the digital economy on export technological complexity is more pronounced in eastern regions, while the transformation efficiency of innovation outcomes in central regions remains relatively limited and the digital economy infrastructure in western regions is still underdeveloped. Further analysis employs a machine learning random forest model to examine the nonlinear relationship between the digital economy and export technological complexity. The results are analyzed and interpreted using optimal feature selection, relative feature importance ranking, partial dependence plots, and decision tree models.
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[1] Dai Chu, Huang Ying, Wang Siyi. Innovative city policies, factor market integration, and export technological complexity [J]. International Trade Issues, 2023(12):114–131.
[2] Lu Xiuxiu, Fang Hangming, Zhang Anquan. Digital economy, spatial spillovers, and high-quality urban economic development [J]. Economic Review, 2021, 38(06):21–31.
[3] Yang Xianming, Zhang Shengli, Li Bo. Participation in dual value chains and China’s export technological upgrading: Evidence from manufacturing sector data [J]. World Economic Research, 2023(12):13–27+132. DOI:10.13516/j.cnki.wes.2023.12.006.
[4] Chen Jianbin. Review of the development of international trade theory [J]. Shanghai Journal of Economics, 2004(12):68–70+67.
[5] Stern R. M., Maskus K. E. Determinants of the structure of U.S. foreign trade, 1958–1976 [J]. Journal of International Economics, 1981, 11(2):207–224.
[6] Wakelin K. The role of innovation in bilateral OECD trade performance [J]. Applied Economics, 1998, 30(10):1335–1346.
[7] Yao Limin, Fang Rongdong. Technological innovation and China’s export trade: An empirical study [J]. International Business Research, 2007(03):12–17.
[8] Li Ping. On the relationship between international trade and technological innovation [J]. World Economy Study, 2002(05):79–83+89.
[9] Yu Zengsheng. Empirical study on the relationship between technological innovation and export trade [J]. Scientific Research Management, 2011, 29(02):300–305.
[10] Xu Wei, Zhu Yu, Wang Changqi. Intelligent manufacturing, labor skill structure, and export technological complexity [J]. Financial Research, 2022, 33(03):16–27.
[11] Yin Hua, Liu Yanfeng. Business environment and provincial export technological complexity in manufacturing: Evidence from mediation analysis based on panel data from 31 provinces [J]. Journal of Henan Normal University (Philosophy and Social Sciences Edition), 2022, 49(02):84–92.
[12] Bai Xueqing, Song Zhi, Li Lin. Can the digital economy promote China’s industrial structure upgrading? Evidence from the perspective of efficiency and technological progress [J]. Journal of Xi’an Jiaotong University (Social Sciences), 2021, 41(06):1–15.
[13] Yi Xin, Liu Fengmin. Financial development, technological innovation, and industrial structural transformation: A multi-sector endogenous growth theoretical framework [J]. Management World, 2015(10):24–39+90.
[14] Ye Kangtao, Liu Fang, Li Fan. Equity incentive adjustment and stock price crash risk: Evidence from a natural experiment [J]. Journal of Financial Research, 2018(03):172–189.
[15] Tao Meijing, Jian Chunshu. International trade, technological innovation, and the skill wage gap in China’s cities: Evidence from microdata of labor individuals [J]. International Trade Issues, 2016(05):16–27.
[16] Wen Jun, Liu Hong, Zhang Sen. Digital trade and the elimination, reconstruction, and response to international trade barriers [J]. International Trade, 2023(02):64–71.
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