Abstract
The production ?congestion? phenomenon is widespread in reality although few models nowadays consider its influences. In this study, production congestion is introduced into an environmental efficiency evaluation model and a new data envelopment analysis model that considers both production congestion and undesirable output is established so as to measure environmental efficiency evaluation effectively. On this basis, we divide technological change into productive technological change and energy-savings emission reduction technological change to establish their influences on the congestion phenomenon. The results show that productive technological change cannot relieve the degree of congestion while green technology change that stimulates environmental efficiency improvement can greatly alleviate situations of congestion.
Highlights
This study reviewed relevant existing literature about environmental efficiency evaluation based on Data envelopment analysis (DEA) and quantitative analysis of the production congestion phenomenon
A CUO coefficient that considers both production congestion and undesirable outputs was put forward, which improved the accuracy of environmental efficiency evaluation
The production congestion phenomenon has been ignored in most previous environmental efficiency evaluations, undesirable outputs were inevitable in production processes
Summary
The quantities of desirable and undesirable outputs are highly positively related in production processes. Joe Zhu (2000), Cooper, Bisheng Gu, and Shanling Li (2001), and Cooper, Seiford, and Kaoru Tone (2007) These models were used mostly to measure the loss of production efficiency resulting from the congestion phenomenon during production processes, and were not used for research from the angle of undesirable outputs. On this basis, Acemoglu et al (2014) introduced DTC into environmentally restricted and resource-limited growth models and analyzed the costs and profits of both clean and pollutive technologies under different environmental policies They investigated the influences of DTC on costs and time for CO2 emissions reduction from an angle of output. This study develops a new DEA model to consider congestion and undesirable outputs (CUODEA) to gain more accurate evaluation results
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