Cargando…

Who reports high company performance? A quantitative study of Chinese listed companies in the energy industry

In the increasingly competitive environment, top managers’ background characteristics are undoubtedly vital factors for company performance. This study examines whether the performance of Chinese listed companies in the energy industry differs with respect to top managers’ background characteristics...

Descripción completa

Detalles Bibliográficos
Autores principales: Guo, Daoyan, Chen, Hong, Long, Ruyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127923/
https://www.ncbi.nlm.nih.gov/pubmed/27995018
http://dx.doi.org/10.1186/s40064-016-3695-y
_version_ 1782470310692388864
author Guo, Daoyan
Chen, Hong
Long, Ruyin
author_facet Guo, Daoyan
Chen, Hong
Long, Ruyin
author_sort Guo, Daoyan
collection PubMed
description In the increasingly competitive environment, top managers’ background characteristics are undoubtedly vital factors for company performance. This study examines whether the performance of Chinese listed companies in the energy industry differs with respect to top managers’ background characteristics and explores the exact distribution interval of top managers’ background characteristics when company performance reaches the highest level. The initial sample was collected from the CSMAR database (2005–2014) for listed companies in the energy industry. After removing the outlier and missing data, the final number of observations was determined as 780. Descriptive statistics were used to investigate the present distribution of top managers’ background characteristics, factor analysis was used to determine the dimensions of company performance, and one-way ANOVA was used to analyze the differences in company performance and its dimensions with respect to top managers’ background characteristics. The findings show that both the age and length of service of top managers present an increasing trend over the years of the study period, whereas the educational level shows no significant changes. The performance of listed companies has three dimensions: profit performance, growth performance, and operating performance. Companies behave differently with regard to their top managers’ background characteristics; when the top manager is 40–45 years old, with a doctoral degree and above, and in the 2nd–3rd year of his service period, his company will achieve a higher level of performance. This study contributes to the growing literature on company performance in the Chinese energy industry by demonstrating the differences in the performance of Chinese listed companies in the energy industry with regard to top managers’ background characteristics, and reaching conclusions on the optimum distribution interval of top managers’ background characteristics when company performance reaches the highest level. This study also provides a valuable reference for organizational reform and performance enhancement, which are urgent problems for the Chinese energy industry.
format Online
Article
Text
id pubmed-5127923
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-51279232016-12-19 Who reports high company performance? A quantitative study of Chinese listed companies in the energy industry Guo, Daoyan Chen, Hong Long, Ruyin Springerplus Research In the increasingly competitive environment, top managers’ background characteristics are undoubtedly vital factors for company performance. This study examines whether the performance of Chinese listed companies in the energy industry differs with respect to top managers’ background characteristics and explores the exact distribution interval of top managers’ background characteristics when company performance reaches the highest level. The initial sample was collected from the CSMAR database (2005–2014) for listed companies in the energy industry. After removing the outlier and missing data, the final number of observations was determined as 780. Descriptive statistics were used to investigate the present distribution of top managers’ background characteristics, factor analysis was used to determine the dimensions of company performance, and one-way ANOVA was used to analyze the differences in company performance and its dimensions with respect to top managers’ background characteristics. The findings show that both the age and length of service of top managers present an increasing trend over the years of the study period, whereas the educational level shows no significant changes. The performance of listed companies has three dimensions: profit performance, growth performance, and operating performance. Companies behave differently with regard to their top managers’ background characteristics; when the top manager is 40–45 years old, with a doctoral degree and above, and in the 2nd–3rd year of his service period, his company will achieve a higher level of performance. This study contributes to the growing literature on company performance in the Chinese energy industry by demonstrating the differences in the performance of Chinese listed companies in the energy industry with regard to top managers’ background characteristics, and reaching conclusions on the optimum distribution interval of top managers’ background characteristics when company performance reaches the highest level. This study also provides a valuable reference for organizational reform and performance enhancement, which are urgent problems for the Chinese energy industry. Springer International Publishing 2016-11-29 /pmc/articles/PMC5127923/ /pubmed/27995018 http://dx.doi.org/10.1186/s40064-016-3695-y Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Guo, Daoyan
Chen, Hong
Long, Ruyin
Who reports high company performance? A quantitative study of Chinese listed companies in the energy industry
title Who reports high company performance? A quantitative study of Chinese listed companies in the energy industry
title_full Who reports high company performance? A quantitative study of Chinese listed companies in the energy industry
title_fullStr Who reports high company performance? A quantitative study of Chinese listed companies in the energy industry
title_full_unstemmed Who reports high company performance? A quantitative study of Chinese listed companies in the energy industry
title_short Who reports high company performance? A quantitative study of Chinese listed companies in the energy industry
title_sort who reports high company performance? a quantitative study of chinese listed companies in the energy industry
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5127923/
https://www.ncbi.nlm.nih.gov/pubmed/27995018
http://dx.doi.org/10.1186/s40064-016-3695-y
work_keys_str_mv AT guodaoyan whoreportshighcompanyperformanceaquantitativestudyofchineselistedcompaniesintheenergyindustry
AT chenhong whoreportshighcompanyperformanceaquantitativestudyofchineselistedcompaniesintheenergyindustry
AT longruyin whoreportshighcompanyperformanceaquantitativestudyofchineselistedcompaniesintheenergyindustry