• DocumentCode
    2241164
  • Title

    The analysis on the value drivers of agriculture high-tech companies based on the balanced scorecard

  • Author

    Xiao-wei, Wang

  • Author_Institution
    Sch. of Manage., Harbin Inst. of Technol., Harbin, China
  • fYear
    2011
  • fDate
    13-15 Sept. 2011
  • Firstpage
    445
  • Lastpage
    451
  • Abstract
    Based on the principle of Balanced Scorecard, this paper identified key value drivers of agriculture high-tech companies from the aspects of financial, customer, internal operation, innovation and learning. Then, we built the index system for evaluating agriculture high-tech companies´ value comprehensively. And we selected 40 listed agricultural high-tech companies from Shenzhen Exchange and Shanghai Exchange range from the year 2007 to 2009. We got 82 the effective samples data and use regression analysis to verify the existence of correlation of mutual influence between certain indicators of key value driver and the value of companies, and make arrangement analysis of value drivers by its impact on enterprises´ value. The results show that the key value drivers do have certain correlation with the value of agricultural high-tech companies. The collusion will provide some significant clues for improving the value of agricultural high-tech companies.
  • Keywords
    agriculture; customer relationship management; financial management; innovation management; regression analysis; value engineering; agriculture high tech companies; balanced scorecard; customer; financial aspects; innovation; internal operation; regression analysis; value drivers; Agriculture; Companies; Correlation; Indexes; Marketing and sales; Technological innovation; agriculture high-tech companies; balanced scorecard (BSC); regression analysis; value drivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management Science and Engineering (ICMSE), 2011 International Conference on
  • Conference_Location
    Rome
  • ISSN
    2155-1847
  • Print_ISBN
    978-1-4577-1885-4
  • Type

    conf

  • DOI
    10.1109/ICMSE.2011.6070000
  • Filename
    6070000