Firm size, age, industrial networking, and growth: a case of the Korean manufacturing industry

Park, Younsuk; Shin, Jaeun; Kim, Tae‐Jong

doi:10.1007/s11187-009-9177-7

Cited by 96 publications

(66 citation statements)

References 61 publications

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“…The finding showed that size, level of activity and those provisions of collateral are very significant in the capital structure of different Irish SMEs. Park, et al (2010) highlighted the role of size of SMEs and industrial networking in determining SME growth. An analysis of many Korean SMEs in different sectors between 1994 and 2003 confirmed that size has an important negative impact on SMEs.…”

Section: Size Of Smesmentioning

confidence: 99%

The Impact of Demographic Factors on Accessing to Finance in Libya’s SMEs

Zarook¹,

Rahman²,

Khanam³

2013

IJBM

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Section: Size Of Smesmentioning

confidence: 99%

The Impact of Demographic Factors on Accessing to Finance in Libya’s SMEs

Zarook¹,

Rahman²,

Khanam³

2013

IJBM

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“…Apart from that, although researches by Tsai and Goshal (1998) and Casson and Giusta (2007) have repeatedly discussed the importance of networks in promoting entrepreneurship, there is not much literature concerning the contribution of networks linked to business sustainability (Tsai and Goshal, 1998). Even if there are studies on entrepreneurship and network, it is limited to a single industry (Schilling and Phelps, 2007) and the manufacturing industry is the favorite (Park, Shin and Kim, 2010).…”

mentioning

confidence: 99%

Social Capital: Cross-industry and Cross-state Comparison among Malaysian Women Micro-entrepreneurs

Rajennd¹,

Muniady²,

Mamun³

et al. 2015

MJSS

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“…Young/small businesses are more sensitive to the cycle than older/larger businesses. Also Park et al (2010) confirm that firm size and age have significant negative effects on firm growth and significant positive impacts on firm survival. We use net sales as a proxy for firm size and when compared with other metrics of firm size like assets, nº of employees and market capitalization, according to Dang et al (2018) sales are more related to product market which is relevant to measure market share, endurance of the product and life cycle stage.…”

Section: Resultsmentioning

confidence: 53%

Why do Firms Live Longer than Others? The Elixir of (Eternal) Life of Blue Chip American Companies

Reis¹

2017

IJBA

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Purpose: Why do certain companies live longer than others? The average lifespan of a listed north and South American company is over 33 years and in Europe the average age of a company is 52 (Note 1). In 1288, Stora Enso a big pulp and paper company from Sweden issued its first share. According to credit rating agency Tokyo Shoko Research, in Japan, there are more than 20,000 companies with more than 100 years' old. Through a sample of blue ship American listed oldest companies and quarter panel data from 1988-2013 this article identifies more than 8 significant explanatory variables and ascertains relevant factors related with longevity.Methodology: A new robust standard errors for panel regressions with cross-sectional dependence based on Driscoll-Kraay estimator is applied. This method (stata xtscc) is heteroskedasticity consistent and the standard error estimates are robust to general forms of cross-sectional and temporal dependence surpassing the deficiencies of traditional panel data statistical approaches.Findings: The sample of blue ship companies and panel regressions with Driscoll-Kraay estimator shows that the most relevant factors to induce longevity are related with growth opportunities perspective and horizon, cash liquidity, profitability and shareholders remuneration whether from dividends or repurchases, capital structure, strong claims-compliance-liability structure department, innovation and firm size.Originality: This paper's topic considers for the first-time age as a dependent variable and not a control one. Also, the large time period of study, including quarterly observations is new, as well as the original approach to estimation applied to this theme, considered as an alternative to traditional panel data methods.Practical implications: With these determinants identified, professionals and academics can use them as benchmarking and a recipe to endure and assuring bigger lifespan for other mature and young companies.

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Firm size, age, industrial networking, and growth: a case of the Korean manufacturing industry

Abstract: Firm growth, Industrial networking, Subcontracting, Clustering, Korean manufacturing industry, L14, L25, L26, L52, L60, O25,

Cited by 96 publications

References 61 publications

The Impact of Demographic Factors on Accessing to Finance in Libya’s SMEs

The Impact of Demographic Factors on Accessing to Finance in Libya’s SMEs

Social Capital: Cross-industry and Cross-state Comparison among Malaysian Women Micro-entrepreneurs

Why do Firms Live Longer than Others? The Elixir of (Eternal) Life of Blue Chip American Companies

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