Sustainability Assessment Methodologies: Implications and Challenges for SIDS
Abstract
:1. Introduction
2. Materials and Methods
2.1. Bibliometric Data Analysis
2.2. Evaluation of Sustainability Assessment Tools
- (1)
- Robustness—The ability of a model to provide accurate results and remain effective even if there is a change in the input variables;
- (2)
- General applicability—The tool is tailored for a specific purpose and its application in other fields is limited;
- (3)
- Rapid Assessment—Due to its ambiguity, sustainability assessment can be very time-consuming. Therefore, the speed within which data can be accessed for measurement represents a high degree factor. In case for small data measurement, the data collection process is simplified thus reducing the assessment time. The time period to conduct assessment should be reasonable. The tool must be easy to use and manipulate;
- (4)
- Comprehensive view of sustainability—The tool should be efficient, the analysis should be precise, and should include an integrated evaluation of the three sustainability spheres.
3. Research Findings
3.1. Literature Analytics and Publishing Trends
3.2. Overview of Sustainability Assessment Tools
3.3. Critical Perspective of Sustainability Assessment Tools
3.3.1. Sustainable Society Index (SSI)
3.3.2. National Sustainable Development Index (NSDI)
3.3.3. System Dynamics (SD)
3.3.4. Adaptive Neuro-Fuzzy Inference System (ANFIS)
3.3.5. Multi Criteria Decision Analysis (MCDA)
3.3.6. Barometer of Sustainability (BS)
3.3.7. Sustainability Assessment by Fuzzy Evaluation (SAFE)
3.4. Sustainability Assessment in SIDS
4. Discussion
4.1. Sustainability Dimensions
4.2. Sustainability Assessment Strategies at Country Level
4.3. Assessment Methods
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Scale | Dimension | ||||||
---|---|---|---|---|---|---|---|
Product | Project | Sector | Country | Environmental | Economic | Social | |
Life Cycle Assessment (LCA) [22] | √ | √ | |||||
Dow Jones Sustainability Index (DJSI) [23] | √ | √ | √ | √ | |||
Environmental Sustainability Index (ESI) [24] | √ | √ | |||||
Environmental Performance Index (EPI) [25] | √ | √ | |||||
Ecological Footprint (EF) [26] | √ | √ | |||||
Sustainable Society Index (SSI) [27] | √ | √ | √ | √ | |||
Life Cycle Costing (LCC) [28] | √ | √ | |||||
Human Development Index (HDI) [29] | √ | √ | √ | ||||
Environmental Impact Assessment (EIA) [30] | √ | √ | |||||
Sustainable National Income (SNI) [31] | √ | √ | √ | ||||
Social Life Cycle Assessment (S-LCA) [32] | √ | √ | |||||
Strategic Environmental Assessment (SEA) [33,34] | √ | √ | √ | ||||
Index of Sustainable Economic Welfare (ISEW) [35] | √ | √ | |||||
National Sustainable Development Index (NSDI) [36] | √ | √ | √ | √ | |||
Composite Sustainable Development Index (ICSD) [37] | √ | √ | √ | √ | |||
Full Cost Accounting (FCA) [38] | √ | √ | |||||
Integrated Value Model for Sustainable Assessment (MIVES) [39,40] | √ | √ | √ | √ | √ | ||
Cost–Benefit Analysis (CBA) [41] | √ | √ | √ | √ | |||
Genuine Progress Indicator (GPI) [42] | √ | √ | |||||
Life Cycle Sustainability Assessment (LCSA) [43] | √ | √ | √ | √ | |||
System Dynamics (SD) [44,45,46,47] | √ | √ | √ | √ | √ | √ | √ |
Multi Criteria Decision Analysis (MCDA) [48,49] | √ | √ | √ | √ | √ | ||
Sustainability Assessment Model (SAM) [50,51] | √ | √ | √ | √ | √ | ||
Barometer of Sustainability (BS) [52] | √ | √ | √ | √ | |||
Fuzzy Evaluation for Life Cycle Integrated Sustainability Assessment (FELICITA) [53] | √ | √ | √ | √ | |||
Sustainability Assessment by Fuzzy Evaluation (SAFE) [54,55] | √ | √ | √ | √ | √ | ||
Fuzzy Logic Approach for Sustainability Assessment based on the Integrative Sustainability Triangle (FUZZY-IST) [56,57] | √ | √ | √ | √ | √ | ||
Adaptive Neuro-Fuzzy Inference System (ANFIS) [58,59] | √ | √ | √ | √ | √ |
Tools | Dimension | Factor | Number of Assessment Criteria |
---|---|---|---|
Sustainable Society Index (SSI) [27] | Human Wellbeing |
| 21 basic indicators |
Environmental Wellbeing |
| ||
Economic Wellbeing |
| ||
National Sustainable Development Index (NSDI) [36] | Economic |
| 12 suitable indicators related to each factor |
Resource and environmental |
| ||
Social |
| ||
System Dynamics (SD) [47] | Human needs |
| Not composed of fixed indicators. Adapted to changes in the system. |
Economic |
| ||
Environment |
| ||
Life services structure |
| ||
Adaptive Neuro-fuzzy inference system (ANFIS) [59] | Ecological |
| On SAFE basis (75 optional general indicators) |
Human |
| ||
Multi Criteria Decision Analysis (MCDA) [49] | Human Wellbeing |
| On SSI basis (52 optional general indicators depending on available data) |
Environmental Wellbeing |
| ||
Economic Wellbeing |
| ||
Barometer of Sustainability (BS) [66] | Human |
| Not composed of fixed indicators. The methodology is flexible. |
Ecosystem |
| ||
Sustainability Assessment by Fuzzy Evaluation (SAFE) [67] | Ecological |
| 69 basic indicators related to each factor |
Human |
|
Assessment Tools | Robustness | General Applicability | Rapid Assessment | Comprehensive View of Sustainability |
---|---|---|---|---|
Sustainable Society Index | Or | S | S | S |
National Sustainable Development Index | Or | S | S | S * |
System Dynamics | S * | Or | S * | S |
Multi Criteria Decision Analysis | S * | S | Or | S |
Barometer of Sustainability | Or | S * | S | Or |
Sustainability Assessment by Fuzzy Evaluation | S * | S * | Or | S |
Adaptive Neuro-Fuzzy Inference System | S * | S * | Or | S |
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St Flour, P.O.; Bokhoree, C. Sustainability Assessment Methodologies: Implications and Challenges for SIDS. Ecologies 2021, 2, 285-304. https://doi.org/10.3390/ecologies2030016
St Flour PO, Bokhoree C. Sustainability Assessment Methodologies: Implications and Challenges for SIDS. Ecologies. 2021; 2(3):285-304. https://doi.org/10.3390/ecologies2030016
Chicago/Turabian StyleSt Flour, Pierre Olivier, and Chandradeo Bokhoree. 2021. "Sustainability Assessment Methodologies: Implications and Challenges for SIDS" Ecologies 2, no. 3: 285-304. https://doi.org/10.3390/ecologies2030016
APA StyleSt Flour, P. O., & Bokhoree, C. (2021). Sustainability Assessment Methodologies: Implications and Challenges for SIDS. Ecologies, 2(3), 285-304. https://doi.org/10.3390/ecologies2030016