NDLI: Performance evaluation of Chinese listing corporation based on DEA—Agricultural listing corporation as an example

Content Provider	IEEE Xplore Digital Library
Author	Liu Yong-chun Zhang Lan Xue Ying-ying
Copyright Year	2014
Description	Author affiliation: Beijing City Univ., Beijing, China (Zhang Lan; Xue Ying-ying) \|\| Finance & Econ. Inst., Shanxi Univ., Taiyuan, China (Liu Yong-chun)
Abstract	Data envelopment analysis referred to as DEA. It is one of the company's performance evaluation methods. In this paper, authors calculate the pure technical efficiency, comprehensive efficiency, scale efficiency during the year of 2010 to 2012 by using the calculation software based on linear programming under below conditions: on the basis of relevant theories, choose 17 agricultural Listing Corporations as a sample, use DEA model calculation program, assign input data and output data. Authors further calculate the average annual index of all the sample corporations. Show lateral performance results in different years with the same company and longitudinal performance results of different companies in same year. And then analyze and evaluate it from three aspects such as the overall situation, the average value and change trend. Make clear the general position of enterprises in the industry background, and provide a reference for future development direction planning and strategic decision.
Starting Page	1462
Ending Page	1468
File Size	235807
Page Count	7
File Format	PDF
ISBN	9781479953752
ISSN	21551855
e-ISBN	9781479953769
DOI	10.1109/ICMSE.2014.6930404
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-17
Publisher Place	Finland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Performance evaluation Industries agricultural Listing Corporation DEA Decision making pure technical efficiency performance evaluation comprehensive efficiency Indexes Analytical models Production scale efficiency Market research
Content Type	Text
Resource Type	Article

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