Evidence map›Paper›PMID 33573072›Full record

ArticleEntropy (Basel, Switzerland)2021

Robust Characterization of Multidimensional Scaling Relations between Size Measures for Business Firms.

Yuh Kobayashi, Hideki Takayasu, Shlomo Havlin, Misako Takayasu

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuh KobayashiDepartment of Mathematical and Computing Science, School of Computing, Tokyo Institute of Technology, Yokohama 226-8502, Japan.ORCID 0000-0001-6409-8711
Hideki TakayasuInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8502, Japan.ORCID 0000-0002-4452-5517
Shlomo HavlinInstitute of Innovative Research, Tokyo Institute of Technology, Yokohama 226-8502, Japan.
Misako TakayasuDepartment of Mathematical and Computing Science, School of Computing, Tokyo Institute of Technology, Yokohama 226-8502, Japan.ORCID 0000-0002-2467-614X

Funding

Japan Science and Technology Agency Strategic International Collaborative Research Program (SICORP) on the topic of "ICT for a Resilient Society" by Japan and IsraelJapan Society for the Promotion of Science Grant-in-Aid for Scientific Research (B), 26310207Ministry of Education, Culture, Sports, Science and Technology Exploratory Challenges on Post-K computer (Study on multilayered multiscale spacetime simulations for social and economical phenomena)
6 · The paper itself

Abstract

Although the sizes of business firms have been a subject of intensive research, the definition of a "size" of a firm remains unclear. In this study, we empirically characterize in detail the scaling relations between size measures of business firms, analyzing them based on allometric scaling. Using a large dataset of Japanese firms that tracked approximately one million firms annually for two decades (1994-2015), we examined up to the trivariate relations between corporate size measures: annual sales, capital stock, total assets, and numbers of employees and trading partners. The data were examined using a multivariate generalization of a previously proposed method for analyzing bivariate scalings. We found that relations between measures other than the capital stock are marked by allometric scaling relations. Power-law exponents for scalings and distributions of multiple firm size measures were mostly robust throughout the years but had fluctuations that appeared to correlate with national economic conditions. We established theoretical relations between the exponents. We expect these results to allow direct estimation of the effects of using alternative size measures of business firms in regression analyses, to facilitate the modeling of firms, and to enhance the current theoretical understanding of complex systems.

Indexed as

business firmscompanieseconophysicsmultivariate scalingnontrivial power–law exponentssize measures

Identifiers

PMID33573072
PMCPMC7910913

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.