Empirical Analysis of Operational Efficiency of China’s Telecommunication Industry: Based on DEA Approach

Chang Jian Qi; Ting Jie Lv

doi:10.4028/www.scientific.net/AMM.291-294.3019

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 291-294Empirical Analysis of Operational Efficiency of...

Empirical Analysis of Operational Efficiency of China’s Telecommunication Industry: Based on DEA Approach

Abstract:

By combining the Data Envelopment Analysis (DEA) method, from the view of time and district, this paper carries out a dynamic evaluation of resource allocation efficiency of China’s telecommunication industry from 1973 to 2008. The results show that technical efficiency indicator and technological progress indicator are the major factors of resources allocation of China’s telecommunication industry. It analyzed and studied all previous reorganization and regulation effects to the telecom with the reference to the efficiency changes of the telecom industry. Based on the non-Archimedean infinite model C2R of the Data Envelopment Analysis, combined with characteristics of inputs and outputs of China’s telecommunication industry, the paper sets up an indicator system of inputs and outputs as well as an overall efficiency evaluation model China’s telecommunication industry.

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Periodical:

Applied Mechanics and Materials (Volumes 291-294)

Pages:

3019-3023

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.291-294.3019

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Online since:

February 2013

Authors:

Chang Jian Qi, Ting Jie Lv

Keywords:

Allocation Efficiency, C2R, Data Envelopment Analysis (DEA), Technical Efficiency

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References

[1] Charnes, A., Cooper W. W. and Rhodes E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operations Research, 2: 429-444.

DOI: 10.1016/0377-2217(78)90138-8

Google Scholar

[2] Banker, R.D., A. Charnes, and W.W. Cooper. Some models for estimating technical and scale inefficiencies in data envelopment analysis., Management Science 30 (1984): 1078-92.

DOI: 10.1287/mnsc.30.9.1078

Google Scholar

[3] Bustelo P. Novelties of financial crises in the 1990s and the search for new indicators [J]. Emerging Markets Review, 2000, 1: 229-251.

DOI: 10.1016/s1566-0141(00)00012-1

Google Scholar

[4] Burkart O, Coudert V. Leading indicators of currency crises for emerging countries [J]. Emerging Markets Review, 2002, 3: 107-133.

DOI: 10.1016/s1566-0141(02)00002-x

Google Scholar

[5] Fanning K, Cogger K. Neural network detection of management fraud using published financial[J]. Internation Jounal of Intelligent Systems in Accounting, Finance and Management, 1998, 7(1): 21-41.

DOI: 10.1002/(sici)1099-1174(199803)7:1<21::aid-isaf138>3.0.co;2-k

Google Scholar