Tracing the flow of money to reveal spatial effects and inequalities in cash transfer programmes

Eduardo Henrique Diniz et al.

Environment and Planning A: Economy and Space2026https://doi.org/10.1177/0308518x251413928article
AJG 3ABDC A*
Weight
0.50

Abstract

This study investigates how municipal cash transfer programmes influence intra-urban inequality through the case of Maricá, Brazil. Using over 3.4 million transactions from a local digital currency, we trace the spatial flow of social benefits and assess economic spillovers via local multiplier (LM3) and urban scaling models. Despite a strong multiplier effect, spending is highly concentrated in a few retailers (Gini = 0.80), while neighbourhood-level business revenue scales superlinearly with social benefits (β = 1.15). These findings reveal how redistributive policies interact with spatial inequalities, offering new insights into the geography of welfare and the design of inclusive urban policy.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1177/0308518x251413928

Or copy a formatted citation

@article{eduardo2026,
  title        = {{Tracing the flow of money to reveal spatial effects and inequalities in cash transfer programmes}},
  author       = {Eduardo Henrique Diniz et al.},
  journal      = {Environment and Planning A: Economy and Space},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/0308518x251413928},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Tracing the flow of money to reveal spatial effects and inequalities in cash transfer programmes

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.