Agglomeration economies in the formal and informal sectors: a Bayesian spatial approach‡

B-Tier
Journal: Journal of Economic Geography
Year: 2020
Volume: 20
Issue: 1
Pages: 37-66

Score contribution per author:

1.005 = (α=2.01 / 2 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

This article examines whether localized clusters of similar industries produce agglomeration economies in the formal and informal sectors. We develop a Bayesian method to estimate a spatial autoregressive model with an endogenous independent variable. We use establishment-level census data that cover both formal registered and informal unregistered establishments in Cambodia. We find that the density of local employment has a significantly positive effect on productivity in the informal sector, but little effect in the formal sector. For manufacturing, a doubling of employment density increases productivity in the informal sector by 9% through local linkages and by 19% through spatial multiplier linkages, leading to a 28% increase in total. A spatial network magnifies the local impact of agglomeration economies in the informal sector.

Technical Details

RePEc Handle
repec:oup:jecgeo:v:20:y:2020:i:1:p:37-66.
Journal Field
Urban
Author Count
2
Added to Database
2026-01-25