Expanded eco-efficiency assessment of large mining firms

被引：23
|
作者：
Oliveira, Renata [1 ,2 ]
Camanho, Ana S. [1 ]
Zanella, Andreia [3 ]
机构：
[1] Univ Porto FEUP, Fac Engn, Oporto, Portugal
[2] Univ Estado Para UEPA, Belem, Para, Brazil
[3] Univ Fed Santa Catarina, BR-88040900 Florianopolis, SC, Brazil
来源：
JOURNAL OF CLEANER PRODUCTION | 2017年 / 142卷
关键词：
Eco-efficiency; Directional Distance Function; Mining companies; Renewable resources; DATA ENVELOPMENT ANALYSIS; DIRECTIONAL DISTANCE FUNCTIONS; BENEFIT; SYSTEM; SECTOR; DEA;
D O I：
10.1016/j.jclepro.2016.11.039
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
Assessing eco-efficiency of companies is important to ensure the creation of wealth without compromising the needs of future generations. This work aims to extend the eco-efficiency concept by including in the assessment new features related to environmental benefits and environmental burdens. This concept is implemented using an innovative Directional Distance Function model, which searches for improvements in the magnitude of the indicators and in the composition of the resources consumed. This framework can help firms to become more sustainable by replacing non-renewable inputs with "greener" alternatives. We present an empirical application to large mining companies. Different scenarios regarding managerial priorities for adjustments to firms' economic and environmental indicators are explored. The results obtained and their managerial implications are discussed in the context of mining firms activity. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：2364 / 2373
页数：10
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