scholarly journals Firm Size Distribution and the Effects of Ownership Type

2020 ◽  
Vol 12 (4) ◽  
pp. 22-38
Author(s):  
Marek Csabay ◽  
Beata Stehlikova

Size distribution is generally accepted as an important characteristic of business structure, one which impacts on competitiveness, with firm size often regarded as the key determinant of entrepreneurial innovativeness. This article describes the size distribution of enterprises taken from a statistical set of Slovak business entities with a special focus on the relation between size and ownership of the businesses. A change in the probability firm size distribution is an undisputable indicator of a change in the business structure. This article seeks to create an eventual starting point for better policymaking in Slovakia, a country which bases its competitiveness primarily on large and medium-sized foreign investments. The authors’ main objective is to determine the size distribution type of the firms. The Anderson-Darling and Kolmogorov-Smirnov tests were used to determine if the dataset has been taken from a population with a specific distribution. Among the main results with regard to Slovak business structure, a statistically significant dependence was shown between the ownership type and the size type of SMEs. The authors confirmed the Pareto, Power and Generalized Gamma distributions as appropriate probability distributions of firm sizes. The probability distribution of SMEs in general as well as according to individual ownership type shows a Lévy distribution. The authors used the environment of the R programming language along with the software EasyFit.

2015 ◽  
pp. 29-49 ◽  
Author(s):  
Robert J. Bennett ◽  
Gill Newton

This article presents the method and first results of using the 1881 England and Wales Census Enumerators' Books (CEBs) to identify and extract employer records using occupational information. Over 230,000 employers are identified, of which about four fifths employ others. Important sub-groups are also identified of the own account selfemployed, company proprietors, directors and partnerships. The article demonstrates the feasibility of the method and uses the example of the building industry to illustrate firm-size distribution at parish level across England and Wales. The paper indicates the applicability of the extraction method to other censuses, which is now possible using the recently released I-CeM database. The paper also demonstrates some difficulties in the database for 1881, including data keying and coding errors, ranging from 0.5 to 5.5 per cent of entries for larger businesses. Gender miscoding appears to be a systematic error of about 0.7 per 1,000 people. The analysis suggests that where small or atypical sample groups are involved, users of the census database should make detailed checks with manuscript CEBs.


2016 ◽  
Vol 14 (2) ◽  
pp. 61-73
Author(s):  
Wei Zhang ◽  
Yan-Chun Zhu ◽  
Jian-Bo Wen ◽  
Yi-Jie Zhuang

Studies on the firm's size distribution (FSD) can set a good foundation to know about the growth path and mechanism of e-commerce firms. The purpose of this paper is to understand features of the China's listed e-commerce firms by testing Gibrat's law and Zipf's law within the Internet sectors. From a macroscopic perspective, with the approach of OLS estimation, Zipf's coefficient of the FSD is calculated to test whether Zipf's law holds. From a microscopic perspective, the relationship between e-commerce firm size and growth is explored by quantile regression method. The results indicate that from 2005 to 2014, Zipf's law cannot be rejected, with the relationship changing over time, Gibrat's law holds partly. It implies that competition status among China's e-commerce firms becomes more stable.


2011 ◽  
Vol 2011 ◽  
pp. 1-21 ◽  
Author(s):  
Hideaki Aoyama ◽  
Lars Grüne ◽  
Willi Semmler ◽  
Yoshi Fujiwara ◽  
Wataru Souma

We study empirically and analytically growth and fluctuation of firm size distribution. An empirical analysis is carried out on a US data set on firm size, with emphasis on one-time distribution as well as growth-rate probability distribution. Both Pareto's law and Gibrat's law are often used to study firm size distribution. Their theoretical relationship is discussed, and it is shown how they are complementable with a bimodal distribution of firm size. We introduce economic mechanisms that suggest a bimodal distribution of firm size in the long run. The mechanisms we study have been known in the economic literature since long. Yet, they have not been studied in the context of a dynamic decision problem of the firm. Allowing for these mechanism thus will give rise to heterogeneity of firms with respect to certain characteristics. We then present different types of tests on US data on firm size which indicate a bimodal distribution of firm size.


2015 ◽  
Vol 25 (3) ◽  
pp. 585-610 ◽  
Author(s):  
Giulio Bottazzi ◽  
Davide Pirino ◽  
Federico Tamagni

2020 ◽  
Author(s):  
Gabriel Chodorow-Reich ◽  
Olivier Darmouni ◽  
Stephan Luck ◽  
Matthew C. Plosser

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