ArticleNature communications2020
Reconciling contrasting views on economic complexity.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
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.
Who cites it
16 citing papers in PubMed.
- Bridging the short-term and long-term dynamics of economic structural change.Nature communications · 2025Article
- The coherence of US cities.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Synergistic small worlds that drive technological sophistication.PNAS nexus · 2025Article
- Forecasting national COScientific reports · 2024Article
- Article
- An R&D perspective on international trade and sustainable development.Scientific reports · 2023Article
- Industrial Development Policies Based on Economic Complexity Under Plausible Scenarios: Case of Iran 2027.Journal of the knowledge economy · 2023Article
- Product progression: a machine learning approach to forecasting industrial upgrading.Scientific reports · 2023Article
- EU MECI: A Network-Structured Indicator for a Union of Equality.Social indicators research · 2023Article
- Integrated database for economic complexity.Scientific data · 2022Article
- A machine learning approach to economic complexity based on matrix completion.Scientific reports · 2022Article
- The new paradigm of economic complexity.Research policy · 2022Article
- Estimating the drivers of urban economic complexity and their connection to economic performance.Royal Society open science · 2021Article
- A network approach to rank countries chasing sustainable development.Scientific reports · 2021Article
- Urbanization and economic complexity.Scientific reports · 2021Article
- Why is Complexity Science valuable for reaching the goals of the UN 2030 Agenda?Rendiconti Lincei. Scienze fisiche e naturali · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Summarising the complexity of a country's economy in a single number is the holy grail for scholars engaging in data-based economics. In a field where the Gross Domestic Product remains the preferred indicator for many, economic complexity measures, aiming at uncovering the productive knowledge of countries, have been stirring the pot in the past few years. The commonly used methodologies to measure economic complexity produce contrasting results, undermining their acceptance and applications. Here we show that these methodologies - apparently conflicting on fundamental aspects - can be reconciled by adopting a neat mathematical perspective based on linear-algebra tools within a bipartite-networks framework. The obtained results shed new light on the potential of economic complexity to trace and forecast countries' innovation potential and to interpret the temporal dynamics of economic growth, possibly paving the way to a micro-foundation of the field.
Identifiers
What OpenQuestion holds
Registered trials
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.