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MRP-PCI: A Multiple Reference Point Based Partially Compensatory Composite Indicator for Sustainability Assessment
- Source :
- Sustainability, Vol 13, Iss 1261, p 1261 (2021), Sustainability, Volume 13, Issue 3
- Publication Year :
- 2021
- Publisher :
- MDPI AG, 2021.
-
Abstract
- Assessing different types of sustainability is a complex procedure, which implies considering aspects of very different nature. One way to do this is using a system of single indicators measuring all these different aspects and aggregating them in an overall composite indicator. In line with the concepts of weak and strong sustainability, the compensability degree among the indicators allowed by the aggregation procedure is a crucial issue. There exist methods that allow for full compensability, zero compensability, or partial compensability. In most of them, the compensation degree is established in a global way, that is, it is the same for all the indicators. In this paper, we develop the Multiple Reference Point Partially Compensatory Indicator (MRP-PCI), where a different compensation index can be established for each indicator. The resulting method can be applied to any system of indicators, and successfully considers the compensation indices given. Some examples and comparisons are used to illustrate its behavior.
- Subjects :
- lcsh:GE1-350
Mathematical optimization
Index (economics)
010504 meteorology & atmospheric sciences
Renewable Energy, Sustainability and the Environment
Computer science
lcsh:Environmental effects of industries and plants
Geography, Planning and Development
lcsh:TJ807-830
multiple criteria decision making
lcsh:Renewable energy sources
010501 environmental sciences
Management, Monitoring, Policy and Law
Composite indicator
sustainability
01 natural sciences
Compensation (engineering)
partial compensation
lcsh:TD194-195
Weak and strong sustainability
Sustainability
composite indicators
multiple reference point methodology
lcsh:Environmental sciences
0105 earth and related environmental sciences
Subjects
Details
- Language :
- English
- ISSN :
- 20711050
- Volume :
- 13
- Issue :
- 1261
- Database :
- OpenAIRE
- Journal :
- Sustainability
- Accession number :
- edsair.doi.dedup.....8c488e523829e2f5f77f45b6de67f599