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Parsimonious Use of Indicators for Evaluating Sustainability Systems with Multivariate Statistical Analyses
Mukherjee, R., D. Sengupta, AND S. K. Sikdar. Parsimonious Use of Indicators for Evaluating Sustainability Systems with Multivariate Statistical Analyses. CLEAN TECHNOLOGIES ENVIRONMENTAL POLICY. Springer, New York, NY, 15(4):699-706, (2013).
Indicators are commonly used for evaluating relative sustainability for competing products and processes. When a set of indicators is chosen for a particular system of study, it is important to ensure that they are variable independently of each other. Often the number of indicators characterizing a chosen system may be large. It is essential to select the most important indicators from a large set so that a dependable bias-free analysis can be done using the reduced set of indicators. In this paper, we propose the use of Principal Components Analysis (PCA) along with Partial Least Square – Variable Importance in Projection (PLS-VIP) method to ensure that the explicit or tacit assumption of the independence of the chosen indicators is valid. We have used two case studies to demonstrate successful use of these two methods for parsimonious use of indicators for sustainability analysis of systems.
This is a methodology to reduce the number of indicators in sustainability assessment. If adopted this will simplify such analyses, as well as reduce cost of such analyses.
Record Details:Record Type: DOCUMENT (JOURNAL/PEER REVIEWED JOURNAL)
Organization:U.S. ENVIRONMENTAL PROTECTION AGENCY
OFFICE OF RESEARCH AND DEVELOPMENT
NATIONAL RISK MANAGEMENT RESEARCH LABORATORY