A stochastic approach for sustainability analysis under the green economics paradigm

被引:21
作者
Ahi, Payman [1 ]
Searcy, Cory [1 ]
机构
[1] Ryerson Univ, Dept Mech & Ind Engn, Toronto, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Sustainability; Green economics; Environmental indicators; Performance measurement; Strong sustainability; ECOLOGICAL FOOTPRINT; INDEXES; PERFORMANCE; INDICATOR; INTEGRITY; FRAMEWORK; COMPANIES; SYSTEMS; EQUITY; WEAK;
D O I
10.1007/s00477-013-0836-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Sustainability is an increasingly important factor in today's globally competitive environment. How sustainability features are prioritized in terms of relevance and significance is a function of many factors, including variations in types of business, operational conditions, history and other characteristics particular to a company. The purpose of this paper is to propose a stochastic model that explicitly addresses the potential barriers and enablers to sustainability in order to measure and assess the sustainability level of a company. Given that the potential barriers and enablers to sustainability are context dependent, the stochastic model developed in this paper assumes that a variable characterization of sustainability functions can describe a realistic analytical model for a company's sustainability behavior. By adopting the strong sustainability perspective, a case scenario is used to demonstrate the application of the proposed model in a major Canadian electric utility. By providing relatively simple and informative measurement, the proposed sustainability model can be used as a practical and effective tool to assess the sustainability level of any company under consideration and to evaluate sustainability fluctuation of the company over time.
引用
收藏
页码:1743 / 1753
页数:11
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