DocumentCode :
2201669
Title :
Study of correlation of capital structure with performance in high-tech enterprises based on quantile regression
Author :
Gongrong, Chen ; Yaqin, Yang
Author_Institution :
Sch. of Bus. Adm., Hunan Univ., Changsha, China
fYear :
2011
fDate :
9-11 Sept. 2011
Firstpage :
2865
Lastpage :
2869
Abstract :
Capital structure´s impact on performance, acting by the efficiency of corporate governance. In any stage of life cycle, listed high-tech company needs various funding sources, and its capital structure directly affects the level of the capital cost and the market value. The quantile regression model analysis based on 341 listed high-tech companies´ data from 2006 to 2009 shows that the proportions of state-owned shares and tradable shares, long and short-term capital debt ratio on firm performance have significant negative effects. On performance´s 0.5~0.75 quantile, the ownership concentration is positively related to it while the proportion of managerial ownership sensitivity lost. Then such suggestions are proposed as human intelligence capitalization, intellectual property protection system establishment, development of venture capital industry acceleration and other policy recommendations.
Keywords :
industrial property; organisational aspects; regression analysis; venture capital; capital cost; capital structure; corporate governance; funding sources; high-tech company; high-tech enterprises; human intelligence capitalization; intellectual property protection system establishment; market value; policy recommendations; quantile regression; venture capital industry acceleration; Companies; Correlation; Economics; Educational institutions; Government; Industries; Investments; Capital structure; Firm performance; High-tech enterprise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Zhejiang
Print_ISBN :
978-1-4577-0320-1
Type :
conf
DOI :
10.1109/ICECC.2011.6067968
Filename :
6067968
Link To Document :
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