数据要素配置与出口韧性基于280个地级市面板数据的经验证据

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中图分类号：F49；F752 文献标识码：A doi：10.3969/j.issn.1672-2272.202506021

Data Factor Allocation and Export Resilience： Empirical Evidence from Panel Data of 28o Prefecture-Level Cities

SunWenyuan，Chen Ruoci （School of Economics，Nanjing Audit Univerity，Nanjing 21l815，China）

Abstract：As a new production factor in the digital economy era，data can break down market segmentation in factor markets and reshape the production factor system.This paper examines the impact and mechanisms of data factor allocation on regional export resilience using panel data from 28O prefecturelevel cities in China （2Ol1-2021）and a two-way fixed efects model.Empirical results show that data factor allocation significantly enhances regional export resilience，and this conclusion is robustly supported by rigorous robustness and endogeneity tests.Mechanismanalysis reveals that data factor allocation improves regional export resilience by boosting technological innovation，enhancing export product quality，and amplifying human capital effects.Heterogeneity analysis indicates that the positive effect of data factors on export resilience is more pronounced in non-provincial capital cities，resourcebased cities，and cities with smal-to-medium market sizes.This study provides policy insights for optimizingdata factor allocationand promoting high-quality foreign trade development in the digital economyera.

Key Words：Data Factor Allocation;Export Resilience;Technological Innovation;Export Product Quality;Human Capital

0 引言

在全球经济一体化与数字化浪潮的双重驱动下，国际贸易环境正经历着前所未有的深刻变革。（剩余12157字）