Evidence map›Paper›PMID 35370320›Full record

ArticleResearch policy2022

The new paradigm of economic complexity.

Pierre-Alexandre Balland, Tom Broekel, Dario Diodato, Elisa Giuliani, Ricardo Hausmann, Neave O'Clery, David Rigby

Abstract read
In one paragraph

Article in Research policy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The coherence of US cities.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. The hidden cost of sophistication: economic complexity and obesity.The European journal of health economics : HEPAC : health economics in prevention and care · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Forecasting national COScientific reports · 2024
    Article
  12. Augmenting the availability of historical GDP per capita estimates through machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Pierre-Alexandre BallandDepartment of Economic Geography, Utrecht University, The Netherlands.
Tom BroekelUniversity of Stavanger Business School, Stavanger, Norway.
Dario DiodatoEuropean Commission, Joint Research Centre (JRC), Seville, Spain.
Elisa GiulianiResponsible Management Research Center, University of Pisa, Italy.
Ricardo HausmannGrowth Lab, John F. Kennedy School of Government, Harvard University, USA.
Neave O'CleryCentre for Advanced Spatial Analysis, University College London, UK.
David RigbyDepartments of Geography and Statistics, UCLA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Economic complexity offers a potentially powerful paradigm to understand key societal issues and challenges of our time. The underlying idea is that growth, development, technological change, income inequality, spatial disparities, and resilience are the visible outcomes of hidden systemic interactions. The study of economic complexity seeks to understand the structure of these interactions and how they shape various socioeconomic processes. This emerging field relies heavily on big data and machine learning techniques. This brief introduction to economic complexity has three aims. The first is to summarize key theoretical foundations and principles of economic complexity. The second is to briefly review the tools and metrics developed in the economic complexity literature that exploit information encoded in the structure of the economy to find new empirical patterns. The final aim is to highlight the insights from economic complexity to improve prediction and political decision-making. Institutions including the World Bank, the European Commission, the World Economic Forum, the OECD, and a range of national and regional organizations have begun to embrace the principles of economic complexity and its analytical framework. We discuss policy implications of this field, in particular the usefulness of building recommendation systems for major public investment decisions in a complex world.

Indexed as

Complex systemsEconomic complexityGeographyInnovationPolicy

Identifiers

PMID35370320
PMCPMC8842107

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.