ArticleSpatial demography2025
Economic complexity and divergent population growth by race and rurality.
Article in Spatial demography, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Economic complexity (EC) measures the diversification and domestic comparative advantage of industry in an economy. Originally applied to studies of global economic development, dominant frameworks suggest the extent of a place's economic capabilities underlies its economic and population growth potential and ascribe to the universalistic notion that economic growth generates population growth. Limited research has extended the observed linkages between EC and economic and population growth in a subnational context, focusing solely on metropolitan/micropolitan contexts and neglecting potential spatialized forces that might promote variation in the relationship, especially in rural areas. After computing EC estimates for Commuting Zones (CZs), a typology inclusive of metropolitan, micropolitan, and non-metropolitan areas, we use spatial modeling techniques to investigate whether economic complexity relates to population growth and net in-migration uniformly by rurality and for ethnoracial groups. In contrast to universalistic assumptions and our expectations that complexity would be less predictive of growth in non-metro contexts, we find that higher EC more strongly associates with population growth and net in-migration in non-metro contexts. Our findings also suggest that there is a racial dimension to EC, with higher EC CZs experiencing net-inflows of White populations and net-outflows of Asian, Black, Hispanic, and Indigenous populations. Study results suggest spatially and racially disparate implications of regional economic growth and development, challenging conventional assumptions of the widely distributed benefits of economic development on less resourced ethnoracial groups, especially in non-metro contexts.
Indexed as
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.