Propagation and Amplification of Local Productivity Spillovers

S-Tier
Journal: Econometrica
Year: 2024
Volume: 92
Issue: 5
Pages: 1589-1619

Authors (4)

Xavier Giroud (not in RePEc) Simone Lenzu (New York University (NYU)) Quinn Maingi (not in RePEc) Holger Mueller (not in RePEc)

Score contribution per author:

2.011 = (α=2.01 / 4 authors) × 4.0x S-tier

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

Abstract

The gains from agglomeration economies are believed to be highly localized. Using confidential Census plant‐level data, we show that large industrial plant openings raise the productivity not only of local plants but also of distant plants hundreds of miles away, which belong to large multi‐plant, multi‐region firms that are exposed to the local productivity spillover through one of their plants. This “global” productivity spillover does not decay with distance and is stronger if plants are in industries that share knowledge with each other. To quantify the significance of firms' plant‐level networks for the propagation and amplification of local productivity shocks, we estimate a quantitative spatial model in which plants of multi‐region firms are linked through shared knowledge. Counterfactual exercises show that while large industrial plant openings have a greater local impact in less developed regions, the aggregate gains are greatest when the plants locate in well‐developed regions, which are connected to other regions through firms' plant‐level (knowledge‐sharing) networks.

Technical Details

RePEc Handle
repec:wly:emetrp:v:92:y:2024:i:5:p:1589-1619
Journal Field
General
Author Count
4
Added to Database
2026-01-25