Date of Graduation

1999

Document Type

Thesis

Degree Type

MA

College

College of Business and Economics

Department

Economics

Committee Chair

Victor K. Chow

Committee Member

William Trumbull

Committee Member

Ming-jeng Hwang

Abstract

Efficiency has become one of the most important factors for the survival and development of Chinese steel firms as the economic and political reforms in China deepen. The Data Envelopment Analysis (DEA), a non-parametric approach to the measurement of efficiency, is applied to the cross sectional data of 35 of the largest Chinese steel firms to estimate the technical efficiency of these firms in a multi-input/output situation. In this thesis, 6 input and 4 output variables are chosen. The empirical study demonstrates the need to reduce resources consumption, especially the number of employee, and to increase outputs, particularly the profit for the Chinese steel industry to improve its technical efficiency.

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