The Global Logic of Upgrading Energy-Intensive Industries: Policy Implications from Global Value Chains to Product Space

Energy-Intensive Industries: From "Carbon Lock-in" to Upgrading Breakthrough

At a time when the global climate agenda and the wave of reindustrialization are intertwined, energy-intensive industries (EIIs) are at a contradictory crossroads: they are both a major source of carbon emissions and an indispensable material foundation of modern economies. Steel, chemicals, cement, and non-ferrous metals—these industries have decades of sunk costs, rely heavily on existing supply chains, and are deeply embedded in global production networks. This "carbon lock-in" effect makes their green transition exceptionally difficult, but precisely for that reason, exploring their upgrading pathways has strategic significance that transcends any single country.

A recent study published in Humanities and Social Sciences Communications systematically examines the micro-mechanisms of upgrading in energy-intensive industries, based on panel data from 38 major economies from 2007 to 2020 and a case study of China. Rather than stopping at the general level of "improving efficiency" or "developing clean technologies," the study innovatively integrates global value chain (GVC) theory and product space theory, proposing a dual upgrading framework of "meso-industry and micro-product." For the United Kingdom, which is advancing industrial decarbonization and reindustrialization, this framework provides a thought-provoking analytical coordinate.

"Learning by Doing": An Underestimated Driver of Upgrading

Traditionally, discussions on upgrading energy-intensive industries have tended to focus on end-of-pipe treatment or equipment replacement. However, the empirical results of this study show that the "learning-by-doing" effect generated by participation in global value chains has a significant positive impact on energy efficiency improvement and clean energy consumption, and ultimately enhances international competitiveness. In other words, upgrading is not merely a linear outcome of capital investment or technology introduction, but a dynamic learning process embedded in the interactive process of production.

For the UK, this finding has direct practical relevance. The UK has advantages in high-end manufacturing and services, but its energy-intensive industries—especially steel and chemicals—face the dual pressure of cost and carbon constraints in global competition. If decarbonization is regarded merely as a compliance burden while ignoring the opportunity to reposition within global value chains, the potential gains from accumulating process knowledge and low-carbon skills through "learning by doing," and thereby improving productivity, may be missed. The UK government's industrial decarbonization strategy in recent years, such as the low-carbon transition fund for the steel industry, is essentially creating an institutional environment for "learning by doing," but policy design needs to pay more attention to the quality of interaction between industry and global markets.

Product Density: The "Topographic Map" of Transformation ## Product Density: The "Topographic Map" of Transformation

The second core variable in the study is product density, that is, the distance between an economy's current production structure and the space of its potential new products. High product density means that existing capabilities can extend relatively smoothly to related products, thereby reducing transformation frictions and promoting industrial evolution toward higher value added. The study confirms that product density contributes to sectoral transformation and enhanced international competitiveness.

This finding has especially profound implications for regional industrial policy. In advancing its "Levelling Up" agenda, the United Kingdom often faces the dilemma of "how to select future industries." What product space theory provides is not an abstract track selection, but rather a path-planning approach based on existing capability combinations. For example, the chemical cluster in Northeast England, the steel industry in South Wales, and the energy engineering capabilities in Scotland each possess distinct skills, supplier networks, and infrastructure. If policymakers can incorporate product density into the mapping of regional industrial landscapes and identify high-value low-carbon products adjacent to existing strengths—such as green steel, sustainable chemicals, and hydrogen energy equipment—they may be able to guide private investment more effectively and reduce transformation risks.

The Double-Edged Sword of Technological Complexity

The study also reveals a seemingly counterintuitive conclusion: although high technological complexity theoretically represents advanced capability, in the early stage it may hinder rapid upgrading because the innovation challenge is too great. This implies that, for a developing economy or a traditional industrial region undergoing transformation, the "ambitious" path of leaping directly to the global technology frontier may not be optimal. Instead, incremental upgrading along distances in the product space may be more consistent with real conditions.

This "cost of complexity" carries a cautionary message for the UK. The UK has deep strengths in R&D investment and high-technology fields, yet the productivity growth of its energy-intensive industries has long lagged behind peers such as the United States and Germany. If decarbonization policy overemphasizes "breakthrough technologies" while neglecting incremental improvements to existing processes—for example, enhancing energy efficiency management and promoting the electrification of thermal processes—it may lead to a misallocation of resources. The study suggests that technological complexity should be matched with industrial absorptive capacity, and that the policy mix should include both "stepwise" upgrading paths and "leapfrog" breakthrough incentives.

From Global Value Chains to Autonomous Competitiveness

The study takes global value chain embeddedness as its analytical starting point, but at the same time points out potential risks: deep reliance on global value chains may trap developing countries in low-end lock-in. As a highly open economy, the UK's energy-intensive industries are likewise deeply embedded in pan-European and global supply chains. Under the pressures of decarbonization and geopolitics, supply chain resilience has become a key word in industrial policy.The study suggests that attention should be paid to improving the position in the division of labor within global value chains, rather than merely pursuing trade scale. The UK can embed "value chain position" considerations into policy tools such as the Carbon Border Adjustment Mechanism (CBAM) and green public procurement, encouraging domestic firms to transform from simple material suppliers into low-carbon solution providers. For example, if the UK steel industry can supply high-specification special steel for wind, nuclear, and hydrogen infrastructure, its position in the value chain will undergo a fundamental change.

Implications for the UK Industrial Strategy

Taken together, this study provides an evidence-based "cognitive map" for the UK's ongoing reshaping of its industrial strategy. First, the upgrading of energy-intensive industries must be seen as an organic learning process, not as isolated capital projects. Policy should support the flow of process knowledge across firms and sectors, especially the experience of embedding low-carbon technologies into day-to-day production operations.

Second, the regional path of industrial upgrading should respect the actual structure of the local product space. The UK government could draw on product density analysis to tailor "capability extension" roadmaps for each industrial cluster, avoiding a one-size-fits-all "high-tech cluster" narrative. In a region dependent on low-skill heavy industry, a forced shift toward AI chip manufacturing is unrealistic; a shift toward low-carbon building materials or recycling industries, by contrast, may better match its comparative advantage.

Finally, the phased design of policy is crucial. Support for projects with high technological complexity should be accompanied by tolerance for capability building during the transition period and by the allocation of patient capital. The financing instruments of Innovate UK and the British Business Bank could be used to design dedicated products for the "absorption phase" of energy-intensive industries, thereby reducing the risk for firms attempting new low-carbon processes.

Conclusion: Upgrading Is a Process, Not a Label

The upgrading of energy-intensive industries is not a sprint that can be resolved by a single policy or a single technology; it is an institutional transformation that requires continuous learning, dynamic adjustment, and spatial reshaping. By combining the macro perspective of global value chains with the micro perspective of product space, this study reminds us that while the direction of upgrading matters, "where you start," "who you interact with," and "when you choose which level of complexity" equally determine success or failure.

For the UK, striking a balance between net-zero commitments and industrial competitiveness is the core proposition of its contemporary industrial strategy. From this study, based on a sample of 38 economies, we see not only China's experience, nor only the Global South's predicament, but also a universal insight into the nature of industrial change: real upgrading occurs at the connecting points of products, capabilities, and knowledge.