FTA Intellectual Property Quality, Technology Spillovers, and Enterprise Innovation Networks

【Authors】

LU Jing, CHEN Hangyu & WANG Taoxuan

【WorkUnit】

LU Jing, CHEN Hangyu（Zhejiang University, 310058）；WANG Taoxuan（Ningbo Tech University, 315100）

【Abstract】

In the era of global innovation networks, free trade agreements (FTAs) have evolved from traditional tariff reduction instruments into deep integration platforms encompassing intellectual property (IP) provisions, competition policy, and other behind-the-border regulations. While the proliferation of IP clauses in FTAs is widely observed, little is known about how the quality of these provisions affects domestic firms’ access to foreign knowledge and their position in global innovation networks. This paper addresses this gap by investigating the impact of FTA IP clause quality on technology spillovers received by Chinese firms and the subsequent implications for their integration into innovation networks. The study is motivated by the strategic importance of international technology sourcing for China’s innovation-driven development, especially under escalating technology restrictions imposed by developed economies.
Drawing on the theoretical framework of international knowledge diffusion, we propose three core hypotheses. First, higher-quality FTA IP provisions enhance direct technology spillovers to domestic firms through two channels: a knowledge co-creation effect that facilitates collaborative R&D with foreign partners, and a signaling effect that reduces information asymmetry and fosters credible commitments in cross-border innovation alliances. Second, such provisions stimulate indirect technology spillovers via trade-enhancing and market competition effects: they increase imports of IP-intensive goods, which embody foreign knowledge, and intensify technological rivalry, prompting firms to cite foreign patents more intensively. Third, outward foreign direct investment (OFDI) in FTA member countries amplifies both direct and indirect spillovers by leveraging existing technological linkages, exploiting information advantages, and responding to institutional changes under FTAs.
To test these hypotheses, we construct a novel measure of FTA IP clause quality. Combining classical coding schemes (e.g., DESTA, T+PTA) with natural language analysis (NLA), we compute the textual similarity between each FTA’s IP chapter and a benchmark synthetic text that incorporates the highest regulatory standards across five dimensions: general IP, IP scope, enforcement, multilateral consistency, and TRIPS-plus provisions. This approach captures nuanced variations in IP rule depth and avoids the subjectivity of manual coding. Our empirical analysis employs panel data on Chinese listed firms from 2010 to 2018, merged with patent citation records. We construct two dependent variables: direct spillovers and indirect spillovers. To address endogeneity concerns—such as reverse causality where innovative firms lobby for stricter IP rules—we employ instrumental variable strategies.
The results robustly show that higher FTA IP clause quality significantly increases both direct and indirect technology spillovers to Chinese firms. These effects are magnified for firms with OFDI presence in member countries, with the interaction term positive and statistically significant across specifications. Mechanism tests confirm the hypothesized channels: FTA IP quality promotes co-patenting with foreign partners and capital commitments in joint R&D entities (knowledge co-creation and signaling), and it raises the share of IP-intensive imports and intensifies market competition (trade enhancement and competition effects). Heterogeneity analysis reveals that the spillover effects are stronger for invention patents than for design patents, and for FTAs signed with high-income countries endowed with advanced innovation systems. Geographic proximity matters only for indirect spillovers, while direct spillovers and the moderating role of OFDI are insensitive to distance, suggesting the universal applicability of FTA IP provisions. Finally, we show that higher FTA IP quality enhances firms’ embeddedness in global innovation networks: it improves connectivity, intermediation, and access to knowledge flows.
This paper makes several contributions to the literature. First, it proposes a novel, text-based measure of FTA IP clause quality that overcomes the limitations of existing coding methods and enables fine-grained cross-sectional and temporal comparisons. Second, it provides a unified analytical framework linking FTA IP depth, technology spillovers, and innovation networks, thereby bridging the gap between trade agreement design and firm-level innovation outcomes. Third, it identifies the moderating role of OFDI, highlighting the complementarity between foreign investment and trade agreements in facilitating knowledge diffusion. Fourth, it offers policy-relevant insights: strengthening IP provisions in FTAs can serve as a strategic tool to enhance domestic firms’ access to foreign technology and improve their positions in global innovation networks. Policymakers should prioritize negotiations with innovation-rich countries, support firms’ OFDI through financial and informational assistance, and tailor strategies to patent types and partner characteristics. Future research could extend this analysis by examining the dynamic effects of FTA IP upgrading, exploring heterogeneity across industries and firm ownership, and investigating the interplay between IP clauses and other deep trade provisions such as digital trade rules and competition policy.

JEL: F13, O34, O31

【KeyWords】

FTA Intellectual Property, Technology Spillover, Innovation Network, Outward Investment