Identification Desirable Congestion in Data Envelopment Analysis

Subject Areas : International Journal of Data Envelopment Analysis

Abbas Ghomashi ¹ , Masomeh Abbasi ²

1 - Department of mathematics, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.
2 - Department of mathematics, Kermanshah Branch, Islamic Azad University, Kermanshah, Iran.

Received: 2020-02-12 Accepted : 2020-05-01 Published : 2020-05-01

Keywords: DEA, Desirable Congestion, Undesirable Congestion,

Abstract :

The identification of undesirable congestion is important to avoid a cost increase and a shortage of generation. However, the identification of desirable congestion or eco-technology innovation, in systems that produce undesirable outputs is much more important than that of undesirable congestion from the perspective of environmental assessment. In this paper, we propose an approach to identify desirable congestion that can be effectively used to reduce the amount of undesirable outputs so that systems such as electric power companies satisfy a governmental standard on environmental protection. Thus, the identification of desirable congestion assists us in determining which technology should be invested to facilitate eco-technology innovation and its related engineering management for a future sustainable economic growth. We use the proposed approach to study the pollutants of two empirical data in China and USA.