{"title":"Does the supply network shape the firm size distribution? The Japanese case","authors":"Corrado Di Guilmi , Yoshi Fujiwara","doi":"10.1016/j.econmod.2025.107238","DOIUrl":null,"url":null,"abstract":"<div><div>The paper examines the relationship between the structure of the Japanese supply network and the firm size distribution. We obtain five main original results through a combination of empirical analysis, analytical decomposition of growth rate volatility, and numerical simulations. First, Gibrat’s law only holds for larger firms, which are typically located upstream in the supply network, while it breaks down for smaller firms, which are more likely to be located downstream. Second, this structural asymmetry explains why downstream firms are concentrated in the power-law tail of the size distribution. Third, final demand shocks are amplified when propagating to upstream firms, explaining their higher growth rate volatility and consequently smaller average growth. Fourth, the magnitude of this amplification is determined by the degree of complexity of the network structure and the market power of the downstream firms. Finally, the power-law tail disappears in completely connected networks that lack layers or hierarchical structure. A significant implication of our findings is that aggregate demand shocks can affect the economy both directly, by reducing output for downstream firms, and indirectly, by shaping the firm size distribution.</div></div>","PeriodicalId":48419,"journal":{"name":"Economic Modelling","volume":"152 ","pages":"Article 107238"},"PeriodicalIF":4.7000,"publicationDate":"2025-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economic Modelling","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0264999325002330","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
The paper examines the relationship between the structure of the Japanese supply network and the firm size distribution. We obtain five main original results through a combination of empirical analysis, analytical decomposition of growth rate volatility, and numerical simulations. First, Gibrat’s law only holds for larger firms, which are typically located upstream in the supply network, while it breaks down for smaller firms, which are more likely to be located downstream. Second, this structural asymmetry explains why downstream firms are concentrated in the power-law tail of the size distribution. Third, final demand shocks are amplified when propagating to upstream firms, explaining their higher growth rate volatility and consequently smaller average growth. Fourth, the magnitude of this amplification is determined by the degree of complexity of the network structure and the market power of the downstream firms. Finally, the power-law tail disappears in completely connected networks that lack layers or hierarchical structure. A significant implication of our findings is that aggregate demand shocks can affect the economy both directly, by reducing output for downstream firms, and indirectly, by shaping the firm size distribution.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.