Distinguishing Congestion and Technical Inefficiency in Presence Undesirable Output | Science Publications

American Journal of Applied Sciences

Mohammad M. Rayeni¹  Faranak H. Saljooghi¹ 

关键词: Data Envelopment Analysis (DEA);    undesirable output;    medical science;    traffic engineering;    technical inefficiency;    non-linear programming;    Constant Returns to Scale (CRS);    marginal product;    Decision-Making Units (DMUs);   

DOI  :  10.3844/ajassp.2011.903.909

学科分类：自然科学（综合）

来源: Science Publications

【 摘 要 】

Problem statement: This study focused on problems of congestion and how they might be treated in universities, to investigates a methodology to measure undesirable outputs congestion in addition to inputs congestion, from both theoretical and empirical perspectives. Congestion indicates an economic state where inputs are overly invested. Evidence of congestion occurs whenever reducing some inputs can increase outputs. Approach: The main thrust of this study is to measure congestion in undesirable outputs and inputs by using Data Envelopment Analysis (DEA), by a proposed linear model. Results: We used a data set of the university and jointly evaluated desirable university output (e.g., graduate) and the simultaneous undesirable output (e.g., dropout) that occurs. Conclusion: The results show that inefficiency is associated with congestion in the study departments of the university; particular congestion in undesirable output has most correlation with the efficiency.

【 授权许可】

Unknown