Industry clusters and macroeconomic (in)stability

Abstract While the competitive behavior of firms with regard to entry and exit activities serves as a driving force behind the business cycle, little attention has been paid to the issue of industry clusters when discussing belief-driven cyclical fluctuations. Faced with this deficiency, this study analyzes the possibility of the emergence of equilibrium indeterminacy from the perspective of industrial organization. By analyzing the effects of endogenous overhead costs in the market, this paper finds that belief-driven business cycle fluctuations are related to industry clusters. More specifically, a stronger spillover effect or a less pronounced congestion effect tends to increase the likelihood of local indeterminacy.

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Publication Details

Journal
Macroeconomic Dynamics
Published
2024-09-23
DOI
https://doi.org/10.1017/s1365100524000488
Primary Topic
Economic theories and models
Type
article
Field-Weighted Citation Impact
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article

Industry clusters and macroeconomic (in)stability

Cheng‐wei Chang
Macroeconomic Dynamics
Economic theories and models
article

Industry clusters and macroeconomic (in)stability

Cheng‐wei Chang
article en

Abstract

Abstract While the competitive behavior of firms with regard to entry and exit activities serves as a driving force behind the business cycle, little attention has been paid to the issue of industry clusters when discussing belief-driven cyclical fluctuations. Faced with this deficiency, this study analyzes the possibility of the emergence of equilibrium indeterminacy from the perspective of industrial organization. By analyzing the effects of endogenous overhead costs in the market, this paper finds that belief-driven business cycle fluctuations are related to industry clusters. More specifically, a stronger spillover effect or a less pronounced congestion effect tends to increase the likelihood of local indeterminacy.

Macroeconomic DynamicsVol. 29
Tunghai University (TW)
Openalex Percentile: Top 80%
Economic theories and models
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