The Cube: A Lawful, Incremental Framework for Using Public Procurement to Pull Innovation
Governments already spend large sums to promote innovation through grants, tax credits, loans, equity instruments, incubators, prizes, and advisory programs. Yet public procurement is vastly larger than conventional innovation-policy budgets. In OECD economies, procurement is roughly 13 percent of GDP, while direct support and tax relief for business R&D together are only a fraction of one percent of GDP. This asymmetry matters. Even a very small innovation-oriented tilt in procurement can represent a material increase in the effective scale of innovation policy.
Yet procurement systems are rarely used this way. Most public procurement organizations are designed to secure timely delivery, preserve integrity, ensure equal treatment of suppliers, and obtain value for money. They are not designed to explore technological uncertainty, nurture early markets, or orchestrate experimentation with new solutions. Procurement officers are typically judged on compliance, continuity of service, and avoidance of visible failure. Under those incentives, the safe equilibrium is predictable: detailed specifications, strong threshold requirements, large established suppliers, price-dominant competitions, and risk transfer to vendors wherever possible.
This report argues that governments do not need to choose between lawful procurement and innovation policy. They can make procurement more innovation-friendly without abandoning core procurement principles. The relevant question is not whether procurement law should be suspended in the name of innovation. The relevant question is how familiar and lawful procurement tools can be reframed so that public buyers learn about technological possibilities, reduce uncertainty, validate solutions, and scale what works.
This is the purpose of The Cube.
Mapping Economic Opportunities in Global Clean Energy Supply Chains
The energy transition offers countries that can manufacture clean energy technologies substantial opportunities for sustainable economic growth. This paper provides a framework for context-aware industrial policy by applying economic complexity theory to a newly constructed dataset of twelve key clean energy supply chains (CESCs). We find that CESCs are diverse but highly interdependent; they are also growing faster and are more concentrated than other industries. CESCs exhibit substantial entry, exit and competitive churn, and countries are more likely to enter CESC industries that are related to their existing productive capabilities. We also explore changing global competitiveness and country positioning in these industries, and draw out implications of these patterns for industrial policymakers.
Innovation Capabilities Outlook 2026
Knowledge is expanding globally, yet most countries struggle to harness this growth effectively. Global innovation remains strikingly concentrated: a small number of leading economies account for the vast majority of scientific publications, patents, trademarks, and advanced exports, whereas most contribute less than 1 percent to any innovation dimension. Success does not require a big push in all fields, but instead lies in strategically diversifying into complex skills while at the same time maintaining intensity in high-value areas – a balancing act that only the most sophisticated innovation ecosystems have mastered.
Mapping the global innovation landscape
The Innovation Capabilities Outlook (ICO) 2026 analyzes 2,508 innovation capabilities across four dimensions – science, technology, entrepreneurship, and production – using comprehensive datasets spanning 2001–2023. The analysis reveals that innovation emergence depends critically on connections between these four dimensions, with the most sophisticated capabilities emerging only in highly diversified ecosystems able to support complex, interdependent knowledge networks.
A tale of two innovation worlds
Global innovation output has expanded dramatically, yet this growth remains highly uneven and concentrated in no more than 30 percent of the world’s economies. Asian economies – led by China, India and Viet Nam – have mastered sophisticated capability development strategies, consistently achieving both smart diversification (gaining breadth and complexity simultaneously) and smart capability management (intensifying focus on high-value skills while protecting them with complementary knowledge). In contrast, many established and emerging economies struggle with this dual challenge: 46 percent of ecosystems have not meaningfully diversified, and complexity gains remain elusive for 70 percent of economies.
Strategic opportunities
The ICO 2026 identifies substantial untapped potential – only 10 percent of economies fulfill their technological potential. Ecosystems collectively underperform by 339,000 technological innovations annually. Regional patterns reveal distinct strategic pathways: Europe possesses strong foundations, but struggles with technological translation; Asia shows balanced capabilities, but faces entrepreneurial commercialization challenges; and Africa should focus on foundational capability building while gradually targeting more complex activities.
Policy implications
Innovation policy cannot rely on one-size-fits-all approaches. Success requires tailoring strategies to regional development levels, existing capability portfolios, and institutional contexts. Countries that align innovation investments with these evidence-based insights can break traditional development constraints and accelerate a transition toward knowledge-based competitiveness. The systematic nature both of diversification constraints and untapped potential suggests that targeted, level-appropriate interventions yield the highest probability of success.
The Innovation Capabilities Outlook 2026 was developed through a partnership between WIPO and Harvard University’s Growth Lab (HGL), under the general direction of Daren Tang (Director General) and Marco Alemán (Assistant Director General). The report was supervised by Carsten Fink (Chief Economist) and Ricardo Hausmann (founder and Director of HGL), prepared by a team led by Julio Raffo (Head of Innovation Economy Section, WIPO) and Muhammed A. Yildirim (Director of Academic Research, HGL). The team included Christian Chacua, Matte Hartog, Shreyas Gadgin Matha, and Federico Moscatelli.
Inventing modern invention: The professionalization of technological progress in the US
Over the course of the mid-19th and early 20th century, the US transformed from an agricultural economy to the frontier in technology. To study this transition, we digitize half a million pages of patent yearbooks that describe inventors, organizations and technologies on over 1.6M patents. We combine this with demographic information from US census records and information on corporate research from large-scale repeated surveys of industrial research labs. Our data reveal that in the early 1920s a new system of innovation — based on teamwork and engineers — started to rapidly replace the existing craftsmanship-based invention that had dominated innovation in the 19th century. We argue that this new system relied on an organizational innovation: industrial research labs. These labs supported high-skill teamwork, replacing the collaborations within families with professional ties in firms and industrial research labs. The systemic shift in innovation had far-reaching consequences: it changed the division of labor in invention, led to an explosion of novelty and teamwork, and reshaped the geography of innovation in the US.
For a deeper dive into the research and visuals, explore this analysis by the Complexity Science Hub.
Tackling Discrepancies in Trade Data: The Harvard Growth Lab International Trade Datasets
Bilateral trade data informs foreign and domestic policy decisions, serves as a growth indicator, determines tariffs, and is the basis for financial and investment decisions for corporations. Accurate trade data translates into better decision-making. However, the raw bilateral trade data reported by UN Comtrade suffer from two structural problems: reporting differences between country partners and countries reporting in different product classification systems, which require product-level harmonization to compare data across countries. In this paper, we address these challenges by combining a mirroring technique and a data-driven concordance method. Mirroring reconciles importer and exporter differences by imputing country reliability scores and applying a weighted country-pair average to calculate the estimated trade value. We harmonize product classifications across vintages by calculating conversion weights that reflect a product’s market share. The resulting publicly available datasets mitigate issues in raw trade statistics, reducing reporting inconsistencies while maintaining product-level granularity across six decades.
Catalysing Economic Growth Through Powershoring
In a trend called powershoring, energy-intensive industry will locate closer to renewable energy sources, driven by cheap renewable energy (which is difficult to transport), and the need to decarbonise. Regions’ renewable energy resources and industrial capabilities shape the types of energy-intensive industries they can attract: some regions are best placed to produce very energy-intensive commodities (like green steel and green ammonia), while other regions are best positioned to host more complex industries that still require good clean energy supplies (like battery manufacturing or datacentres). Similarly, some powershoring industries have many spillovers and open up new pathways for regional economic growth, while other energy-intensive industries have fewer spillovers or open up fewer development pathways. This contribution explores these trends to help policymakers develop contextually aware powershoring strategies that can catalyse their best opportunities for economic development.
Tackling Discrepancies in Trade Data: The Harvard Growth Lab International Trade Datasets
Bilateral trade data informs foreign and domestic policy decisions, serves as a growth indicator, determines tariffs, and is the basis for financial and investment decisions for corporations. Accurate trade data translates into better decision-making. However, the raw bilateral trade data reported by UN Comtrade suffer from two structural problems: reporting differences between country partners and countries reporting in different product classification systems, which require product-level harmonization to compare data across countries. In this paper, we address these challenges by combining a mirroring technique and a data-driven concordance method. Mirroring reconciles importer and exporter differences by imputing country reliability scores and applying a weighted country-pair average to calculate the estimated trade value. We harmonize product classifications across vintages by calculating conversion weights that reflect a product’s market share. The resulting publicly available datasets mitigate issues in raw trade statistics, reducing reporting inconsistencies while maintaining product-level granularity across six decades.
Industrial policy for competitiveness in the energy transition
Green objectives have reshaped public policy worldwide since the signing in 2015 of the Paris Agreement to limit global warming. Climate policy has moved from being one policy among many to an objective embedded in public policies at every level, including energy, industrial, fiscal, trade, development and foreign policies. However, a clear outcome from this policy shift is yet to be seen, with emissions still rising and climate impacts intensifying. There is also backlash against greening in a charged geopolitical environment.
Nevertheless, the chapters in this volume, written by a range of experts worldwide, show that in many countries and policy areas, green objectives are still driving fundamental changes and many lessons have been learned. The goals of reducing emissions and enhancing economic and societal resilience to climate change will persist as climate impacts become more evident, and as the green transition produces successes at city, regional and national levels. In this context, this Bruegel Blueprint offers a fresh intellectual framework for understanding how the green transition is shaping cross-sectoral impacts across the globe.
De Facto Openness to Immigration
Various factors influence why some countries are more open to immigration than others. Policy is only one of them. We design country-specifc measures of openness to immigration that aim to capture de facto levels of openness to immigration, complementing existing de jure measures of immigration, based on enacted immigration laws and policy measures. We estimate these for 148 countries and three years (2000, 2010, and 2020). For a subset of countries, we also distinguish between openness towards tertiary-educated migrants and less than tertiary-educated migrants. Using the measures, we show that most places in the World today are closed to immigration, and a few regions are very open. The World became more open in the first decade of the millennium, an opening mainly driven by the Western World and the Gulf countries. Moreover, we show that other factors equal, countries that increased their openness to immigration, reduced their old-age dependency ratios, and experienced slower real wage growth, arguably a sign of relaxing labor and skill shortages.
Explore the country rankings in our interactive visualization website and learn more about the project, Leveraging the Global Talent Pool to Jumpstart Prosperity in Emerging Economies.
Growth Through Diversification in Hermosillo
In this report, we study Hermosillo’s economic performance and assess critical issues affecting the city’s ability to achieve stronger economic growth. Although Hermosillo is far from experiencing economic stagnation, it fell behind other cities that managed to become successful economic hubs between 2010 and 2020. The main reason behind this trailing growth is Hermosillo’s relatively low diversification and investment dynamics, especially in the manufacturing sector. We apply growth diagnostic testing on various potential constraints to economic growth: logistics, electricity, water, human capital, housing, and transportation. Although none of them have directly constrained economic growth in the past, some are explicit threats to increasing growth in the future, thus catching up with high-performing peers. Electricity, human capital, and logistics are comparative advantages, while water, housing, and transportation are threats.
In 2025, Mexico is expected to start a new period in its economic history marked by the promise of nearshoring and a new presidential administration. In the past, Mexico has gone through milestones that heavily impacted its economic development path, like the establishment of NAFTA and the China Shock (Hanson, 2010). The rise of Northern Mexico and other regions like El Bajío as global manufacturing hubs has resulted from greater integration with the North American market. This has brought foreign direct investments (FDI) targeted at establishing manufacturing sites primarily to cater to US demand and exports to the rest of the world. Mexico holds high expectations that nearshoring will bring opportunities of the same or greater magnitude. In that context, Hermosillo stands out as a city with the potential to exploit those opportunities and enhance its economic transformation. It is crucial to analyze its binding constraints for economic growth, comparative advantages, and potential concerns to understand how well-positioned Hermosillo is to take advantage of this momentum.
Following the introduction and a methodological overview, the report is divided into four main sections. Section 3 provides a growth perspective on Hermosillo; Section 4 presents an analysis of growth constraints; Section 5 explains the local diversification challenge in detail; and Section 6 describes strategic policy areas to accelerate growth that result from this growth diagnostic analysis.