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Capital-intensity segmentation and urban enclave formation in an advanced peripheral economy: Evidence from Timișoara, Romania

Norbert Petrovici et al.

Environment and Planning A: Economy and Space2026https://doi.org/10.1177/0308518x261423442article
AJG 3ABDC A*
Weight
0.50

Abstract

The study investigates how an export-led growth model may take organisational form at the urban scale using firm-level data from Timișoara. Logistic models, ownership-network analysis, and Exponential Random Graphs Models (ERGMs) are applied to identify organisational patterns in 3829 firms. The results sketch a dual structure: a transnational enclave handling engineering, coordination, and digital tasks, and a domestic sphere geared towards labour reproduction, finance, and asset mobilisation. Foreign-owned firms cluster in capital- and skill-intensive segments and form tightly knit ownership fields; domestic firms sit in fragmented organisational niches centred on construction, real estate, healthcare, and education. Sectoral trajectories show how domestic circuits soak up enclave-generated incomes through financial, medical, educational, and property channels. The findings support mechanism-based accounts of dependent upgrading and indicate that advanced peripheral regions may stabilise export-led growth through institutional arrangements that separate enclave coordination from domestic reproduction circuits.

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https://doi.org/https://doi.org/10.1177/0308518x261423442

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@article{norbert2026,
  title        = {{Capital-intensity segmentation and urban enclave formation in an advanced peripheral economy: Evidence from Timișoara, Romania}},
  author       = {Norbert Petrovici et al.},
  journal      = {Environment and Planning A: Economy and Space},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/0308518x261423442},
}

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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.