Analyzing Innovation Collaboration Trajectories Through the Lens of Global Value Chains

The deep integration of Global Value Chains (GVCs) and Global Innovation Networks (GINs) is a fundamental force reshaping the international economic landscape. GVCs organize production across various global locations, establishing complex international divisions of labor that dictate the distribution of economic benefits and industrial status. Concurrently, GINs accelerate knowledge flows and technological upgrading by facilitating the global collection and allocation of innovation resources.

The study of innovation collaboration patterns often focuses on the unidirectional flow—how GINs drive GVC upgrading. However, the perspective of GVC positions offers a critical lens to understand the underlying mechanisms of collaboration itself. The research constructs a framework to quantify the tendencies between countries based on their relative positions within the global production network.

This framework defines collaboration modes based on GVC positions: centralized collaboration occurs between countries occupying similar GVC positions, where they leverage shared technological or resource advantages to form concentrated networks. Conversely, decentralized collaboration involves interactions between countries at different upstream or downstream GVC levels, offering greater opportunities for technological exchange and industrial upgrading, particularly for developing nations.

Empirical analysis of transnational patent cooperation data reveals evolutionary trends in these patterns. At the international level, GVC collaboration has shown an initial decentralization phase that has shifted toward greater centralization as certain fields experience technological monopolization. Nationally, developed economies tend to utilize centralized collaboration to solidify existing technological advantages, while developing countries face a dual challenge: either being confined to low-end activities or engaging in fragmented, loose collaborations.

Sector-specific patterns also vary significantly. For instance, certain sectors exhibit upstream centralized collaboration, while others, like electrical and optical equipment, show dynamic adjustments in their interaction styles. This sectoral variation highlights that the nature of innovation collaboration is not uniform but is deeply embedded within the specific industrial structure of the GVC.

These findings underscore that understanding innovation collaboration requires moving beyond simple input-output models to incorporate the structural context of the GVC. This approach provides novel indicators for assessing how countries can navigate technological competition, balancing the benefits of technological consolidation with the opportunities afforded by diverse, decentralized innovation networks.