Literature DB >> 26182994

Environmental efficiency of energy, materials, and emissions.

Michiyuki Yagi1, Hidemichi Fujii2, Vincent Hoang3, Shunsuke Managi4.   

Abstract

This study estimates the environmental efficiency of international listed firms in 10 worldwide sectors from 2007 to 2013 by applying an order-m method, a non-parametric approach based on free disposal hull with subsampling bootstrapping. Using a conventional output of gross profit and two conventional inputs of labor and capital, this study examines the order-m environmental efficiency accounting for the presence of each of 10 undesirable inputs/outputs and measures the shadow prices of each undesirable input and output. The results show that there is greater potential for the reduction of undesirable inputs rather than bad outputs. On average, total energy, electricity, or water usage has the potential to be reduced by 50%. The median shadow prices of undesirable inputs, however, are much higher than the surveyed representative market prices. Approximately 10% of the firms in the sample appear to be potential sellers or production reducers in terms of undesirable inputs/outputs, which implies that the price of each item at the current level has little impact on most of the firms. Moreover, this study shows that the environmental, social, and governance activities of a firm do not considerably affect environmental efficiency.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Data envelopment analysis; Environmental efficiency; Free disposal hull; Linear programming; Shadow price

Mesh:

Year:  2015        PMID: 26182994     DOI: 10.1016/j.jenvman.2015.06.054

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  An assessment of energy efficiency based on environmental constraints and its influencing factors in China.

Authors:  Yao Chen; Jing-Ting Xu
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-03       Impact factor: 4.223

2.  Evaluating provincial eco-efficiency in China: an improved network data envelopment analysis model with undesirable output.

Authors:  Shiwei Yu; Jie Liu; Longxi Li
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-26       Impact factor: 5.190

  2 in total

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