Innovation as infrastructure

China's industrial modernization during the 15th Five-Year Plan period will bring about a shared endeavor for building technological capacity

The 2026 Government Work Report does more than review annual targets. It signals a structural shift in how China approaches development. The country now treats technological innovation and industrial upgrading not as isolated domestic priorities, but as core elements of a systemic development infrastructure.

The projected GDP growth rate of 4.5 percent to 5 percent for 2026 reflects a deliberate strategy. China is prioritizing resilience, quality and deeper integration between science, industry and markets. For countries across the Global South, this shift offers more than new trade opportunities. It introduces a governance model that supports development without producing ecological strain or structural dependency.

China has redefined productivity at its core. Instead of separating research, industrial scale and commercialization, the country now aligns these elements within a unified development framework.

This transformation already shows in the expansion of innovation capacity. China's R&D spending has reached around 2.8 percent of GDP, surpassing the average of the Organization for Economic Cooperation and Development, while technology transactions continue to grow, strengthening the link between scientific research and economic application.

Public investment also plays a central role. Large-scale equipment upgrading programs do not simply modernize existing systems. They drive the digital transformation of traditional industries. Companies now deploy artificial intelligence, cloud computing and big data across manufacturing, logistics and supply chains. At the same time, China continues to strengthen advanced manufacturing clusters that combine quality standards, branding and intelligent production networks.

Beyond leading sectors, this transformation is increasingly reaching small and medium-sized enterprises, which are adopting digital tools to improve efficiency, reduce costs and integrate themselves into more advanced value chains. This diffusion of technology across different layers of the economy plays a central role in sustaining long-term productivity growth.

In parallel, the country is accelerating the development of future industries. It is making advances in fields such as quantum computing, next-generation telecommunications, advanced energy systems and brain-computer interfaces. Public and private capital supports these sectors through long-term investment structures designed to accommodate the longer cycles of deep-tech innovation.

This dual strategy ensures that productivity gains spread beyond high-tech sectors. The broader economy absorbs these gains, while new efficiency standards emphasize resource use, workforce capabilities and adaptability.

China has long recognized the gap between scientific discovery and large-scale application. The current framework addresses this challenge through institutional design rather than relying solely on funding.

The "AI Plus" initiative illustrates this approach clearly. The government is promoting large-scale deployment of AI across manufacturing, healthcare, logistics and public services. This creates stable demand for emerging technologies, reduces uncertainty and accelerates their commercial adoption.

In practice, this approach reduces the traditional fragmentation between innovation actors. Research institutions, technology companies and industrial producers now operate within more coordinated frameworks, supported by policy instruments that align incentives and reduce barriers to scale.

China has also elevated data to the status of a core production factor. Policymakers are supporting the development of high-quality data ecosystems, the expansion of computing infrastructure and improvements in mechanisms for valuing digital assets. Today, core digital economy industries already account for more than 10 percent of GDP, highlighting the central role of data in economic transformation.

At the same time, China strengthens intellectual property protection, improves capital market access for technology companies and encourages leading companies to organize innovation consortia. These measures connect research, production and commercialization more effectively.

As a result, innovation now operates within industrial standards, regulatory frameworks and public procurement systems. This integration accelerates market entry and ensures that domestic industries capture productivity gains before scaling internationally.

China does not regard external technological pressure as grounds for isolation. Instead, it pursues strategic autonomy while expanding openness in a more effective way.

The government continues to open sectors such as digital services, biotechnology and value-added telecommunications. At the same time, it strengthens domestic capabilities in key areas such as semiconductors, industrial software and advanced manufacturing equipment. This combination reduces vulnerability while maintaining international engagement.

Regional innovation hubs now play a central role in this strategy. Areas such as the Beijing-Tianjin-Hebei region, the Yangtze River Delta and the Guangdong-Hong Kong-Macao Greater Bay Area connect domestic innovation systems with global research networks. China is also promoting open-source AI ecosystems, joint laboratories and cross-border data governance initiatives.

This approach contributes to stabilizing global innovation systems by preserving channels for cooperation even under conditions of geopolitical uncertainty.

In the context of geoeconomic fragmentation, this model shows that technological sovereignty and international cooperation can reinforce each other. Shared infrastructure, transparent rules and mutual benefits create the foundation for stable collaboration.

China's transformation generates practical implications for developing countries. The 2026 Government Work Report points to concrete opportunities for cooperation.

First, integrating green transition and digitalization enables developing countries to bypass carbon-intensive stages of development. China has already scaled production in strategic sectors. Its output of new-energy vehicles has exceeded 16 million units, supported by expanding charging infrastructure.

Second, China's evolving approach to data governance and AI provides valuable reference points. Countries can adapt these frameworks to balance innovation, regulation and privacy within their own institutional environments.

For many developing countries, these opportunities go beyond access to technology. They also involve learning how to build institutional capacity, coordinate industrial policy and create long-term development strategies that integrate digitalization and sustainability.

Third, China does not frame cooperation as one-way technology transfer. It emphasizes co-creation, local capacity building and joint development. Platforms such as the Belt and Road Initiative, BRICS and the China-CELAC (Community of Latin American and Caribbean States) Forum increasingly reflect this approach, focusing on projects that generate both immediate results and long-term institutional gains.

For the Global South, the key lesson lies not in copying China's model, but in adapting its principles. Sustainable development requires strong institutions, long-term financing and cooperative governance structures.

As China continues to advance the 15th Five-Year Plan (2026-30), it will offer more than its national development experience. It will create a scalable framework for building technological capacity in a complex global environment. In this context, innovation-driven industrial upgrading no longer represents a competitive race. It becomes a shared endeavor. (source: China daily)