Roads to Growth: Evidence From Rural China

Wei Chen et al.

Journal of Regional Science2026https://doi.org/10.1111/jors.70045article
AJG 3ABDC A
Weight
0.50

Abstract

The study explores the role of road construction in facilitating economic growth in China during the era of rapid economic growth using a dataset from satellite data and official statistics to model progress in rural China from 1995 to 2018. A long‐difference model with instrumental variables of topographic characteristics and historical roads reveals that building a 1 km road closer to a village leads to an annual economic growth of 0.75% in the sample period over two decades. We observe larger effects on economic growth in relatively more socioeconomically disadvantaged regions, and connecting local markets is more crucial to the rural economy than farther and larger markets. Furthermore, low‐tier roads connecting to villages offer a much greater economic benefit‐cost ratio than higher‐class roads. Our study underscores the importance of enhancing road connectivity in economically disadvantaged areas, and the cost‐benefit insights could be valuable for future investments of transport infrastructure in dispersed areas of other developing countries.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1111/jors.70045

Or copy a formatted citation

@article{wei2026,
  title        = {{Roads to Growth: Evidence From Rural China}},
  author       = {Wei Chen et al.},
  journal      = {Journal of Regional Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/jors.70045},
}

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

Flag this paper

Roads to Growth: Evidence From Rural China

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.