• 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