Evidence map›Paper›PMID 41266354›Full record

ArticleNature communications2025

Bridging the short-term and long-term dynamics of economic structural change.

James McNerney, Yang Li, Andres Gomez-Lievano, Frank Neffke

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. The coherence of US cities.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. 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

4 authors.

James McNerneyThe Growth Lab, Harvard Kennedy School, Cambridge, MA, 02139, USA. james.mcnerney@gmail.com.ORCID http://orcid.org/0000-0001-8338-7244
Yang LiThe Growth Lab, Harvard Kennedy School, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0002-9134-2051
Andres Gomez-LievanoThe Growth Lab, Harvard Kennedy School, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0001-8320-0857
Frank NeffkeThe Growth Lab, Harvard Kennedy School, Cambridge, MA, 02139, USA.ORCID http://orcid.org/0000-0002-3924-6636

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Economic development hinges on structural change, that is, transformations in what an economy produces. The field of economic complexity has investigated this process through two related but distinct branches: one studying how economies diversify, the other how the complexity of an economy is reflected in its output. However, a formal connection between these approaches, and their relationship to classic accounts of structural transformation (for example, from agriculture to manufacturing), remains unclear. Here we introduce a simple dynamical model that links these perspectives through one core idea: economies diversify preferentially into activities related to those they already do. Studying this model yields three main results: It generates quantities resembling economic complexity metrics, suggests these metrics summarize long-term structural change rather than directly infer an economy's complexity, and reproduces stylized facts of development. Our framework formally connects the field's conceptual strands, bridges short and long timescales of change, and adds granularity to classic descriptions of development.

Identifiers

PMID41266354
PMCPMC12635145

What OpenQuestion holds

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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.