The nonlinear impact of co-agglomeration between logistics and manufacturing industries on regional economic resilience: an empirical study

Haojun Wang, Xiao Su, Jun M. Liu

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The outbreak of COVID-19 epidemic has had an unprecedented impact on global economy, the challenges caused by similar external shocks can be effectively addressed by enhancing regional economic resilience (EcoResile). Data of 30 provinces in China from 2006 to 2020 are used to construct a nonlinear panel model to explore the impact of the level of co-agglomeration between logistics and manufacturing industry (CoAgg) on EcoResile. Robustness tests are conducted using instrumental variable regression. The main conclusions are as follows: (1) The effect of CoAgg on EcoResile is non-linear and shows a U-shaped relationship; (2) The effect of CoAgg is not uniform across the regions of China, it is more significant in the eastern and western regions of China.

Original languageEnglish
JournalApplied Economics Letters
DOIs
StateAccepted/In press - 2023

Keywords

  • co-agglomeration
  • Logistics industry
  • manufacturing industry
  • panel data
  • regional economic resilience

Fingerprint

Dive into the research topics of 'The nonlinear impact of co-agglomeration between logistics and manufacturing industries on regional economic resilience: an empirical study'. Together they form a unique fingerprint.

Cite this