Skip to main content

Effectiveness Study of Agriculture Listed Corporation Based on BC2

  • Conference paper
  • 1542 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 244))

Abstract

The efficiency evaluation is one of the important things that agriculture listed corporations care about, and it is advantageous to apply the data envelopment analysis (DEA) model to corporations’ efficiency evaluation. First, use the BC2 model, taking the 31 agriculture listed corporations as examples, to measure their synthetical efficiency, scale efficiency and technical efficiency, and to evaluate their validity. Then according to analysis, some should adjust the direction and intensity, the final simulation comparison shows the existing problems of the corporations and the corresponding solutions.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lin, L.: The empirical analysis of the performance of Chinese agriculture listed corporation. Survey of Chinese Vountries (6), 66–70 (2004)

    Google Scholar 

  2. Xu, X., Chen, M.: Dynamic Evaluation on Performance of Listed Company in Iron and Steel Industry in China Based on DEA. Technology Economic (6), 113–126 (2009)

    Google Scholar 

  3. Qu, J., Cui, Y., Ying, J.: Operation Efficiency Appraisal of Listing Companies in Agriculture by DEA Method. Journal of Library and Information Sciences in Agriculture (1), 79–86 (2007)

    Google Scholar 

  4. Wei, Q.: Data Envelopment Analysis. Science Press, Beijing (2004)

    Google Scholar 

  5. Banker, R.D., Charnes, A., Cooper, W.W., Swarts, J., Thomas, D.: An Introduction to Data Envelopment Analysis with Some of Its Models and Their Users. Research in Government and Nonprofit Accounting (5), 125–163 (1989)

    Google Scholar 

  6. Charnes, A., Cooper, W.W., Rhoder, E.: Measuring the Efficiency of Decision Making Units. European Journal of Operational Research (2), 429–444 (1978)

    Article  MathSciNet  MATH  Google Scholar 

  7. Banker, R.D., Charnes, A., Cooper, W.W.: Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science (9), 1078–1092 (1984)

    Article  MATH  Google Scholar 

  8. Charnes, A., Cooper, W.W., Wei, Q.L.: A Semi-infinite Multicriteria Programming Approach to Data Envelopment Analysis with Many Decision-Making Units.Center for Cybernetic Studies Report,CCS551 (September 1986)

    Google Scholar 

  9. Charnes, A., Cooper, W.W., Wei, Q.L., Huang, Z.M.: Cone Ratio Data Envelopment Analysis and Multi-Objective Programming. International Journal of Systems Science (7), 1099–1118 (1989)

    Article  MathSciNet  MATH  Google Scholar 

  10. Xu, B., Zhang, D., Wu, J., Xue, H.: Cost-effectiveness Evaluation of University Based on DEA and Its Application. Computer Simulations, 284–286 (2008); 1006-934810-0284-03

    Google Scholar 

  11. Ma, Z.: The trends of the DEA models. Study of Productivity 12, 26–27 (2006)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Chen, L. (2011). Effectiveness Study of Agriculture Listed Corporation Based on BC2 . In: Liu, C., Chang, J., Yang, A. (eds) Information Computing and Applications. ICICA 2011. Communications in Computer and Information Science, vol 244. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27452-7_22

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27452-7_22

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27451-0

  • Online ISBN: 978-3-642-27452-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics