MRP-WSCI: Multiple reference point based weak and strong composite indicators

Ruiz, Francisco; Gibari, Samira El; Cabello, José Manuel Jiménez; Gómez, Trinidad

doi:10.1016/j.omega.2019.04.003

Cited by 38 publications

(48 citation statements)

References 46 publications

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“…A composite indicator involves the combination of single indicators that represent different dimensions of a concept whose description is the objective of the analysis [22]. In recent years, there has also been a significant growth in the use of composite indicators for evaluating the performance of countries and institutions in several areas such as innovation, industrial competitiveness, or sustainable development [29][30][31][32][33][34][35][36][37][38]. Then, a composite indicator allows for measuring a set of multidimensional concepts that cannot be captured by a single indicator [39] and therefore can be a useful tool in policy making.…”

Section: Critical Issues When Developing a Ce Composite Indicatormentioning

confidence: 99%

A Process Oriented MCDM Approach to Construct a Circular Economy Composite Index

et al. 2020

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The purpose of this contribution is to develop a Circular Economy Composite indicator to benchmark EU countries performance. Europe is at the forefront of the global transition towards a sustainable and circular economy. To this end, the European Commission has launched in 2015 a Circular Economy Action Plan including a monitoring framework to measure progress and to assess the effectiveness of initiatives towards the circular economy in the European Union (EU) and Member States. Still, this monitoring framework lacks a composite indicator at the national level to aggregate the circular economy dimensions into a single summary indicator. Although there is a wide range of sustainability composite indicators, no aggregate circular economy index exits to this date. We use a multi-criteria approach to construct a circular economy composite index based on TOPSIS (Technique for Order Preferences by Similarity to Ideal Solutions) methodology. In addition, we introduce a novel aggregation methodology for building a composite indicator where different levels of compensability for the distances to the ideal and anti-ideal (or negative-ideal) values of each indicator are considered. In order to illustrate the advantages of this proposal, we have applied it to evaluate the Circular Economy performance of EU Member States for the year 2016. This proposal can be a valuable tool for identifying areas in which the countries need to concentrate their efforts to boost their circular economy performance.

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Section: Critical Issues When Developing a Ce Composite Indicatormentioning

confidence: 99%

A Process Oriented MCDM Approach to Construct a Circular Economy Composite Index

et al. 2020

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“…Namely, a certain degree of compensation between the different indicators was presumed, although the LGP method implies that there is no finite trade-off between the different indicators of the different criteria considered [89]. However, in the literature, aggregated sustainability indexes based on multicriteria techniques including premises associated with strong sustainability can be found; i.e., it is found that there cannot be compensation between the criteria [104], nor can a certain degree of compensation between criteria even be chosen [105,106].…”

Section: Discussionmentioning

confidence: 99%

Sustainability in Forest Management Revisited Using Multi-Criteria Decision-Making Techniques

Ezquerro

Pardos²,

Dı́az-Balteiro

2019

Sustainability

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Since its origins, the idea of sustainability has always been linked to forest management. However, nowadays, sustainable forest management has usually been approached by defining a set of criteria and indicators. This paper aims to address sustainability in forest management including a set of criteria encompassing the most common decisions: whether the stands are even or uneven-aged, and the optimal silviculture that should be applied in each stand. For this purpose, a lexicographic goal programming model with two priority levels has been defined, into which six different criteria are integrated. Each criterion corresponds to a particular pillar (economic, technical, or environmental). Furthermore, also incorporated into the model are the preferences of diverse stakeholders, both for the criteria considered in the analysis and for the most suitable silvicultural alternatives to be applied in each stand. This methodology has been applied to a case study in Spain, and the results show much more attractive solutions than the current forest management planning, allowing the obtainment of multi-aged systems that could be favourable for other ecosystem services.

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“…Often, data quality is referred to the existence of data sets maintained by institutional bodies, such as the Statistical Center of Iran (quoted by Omrani et al [23]) or the Ministry of Transport of the Province of Quebec and the City of Mascouche (quoted by Alam et al [34]), and the street-tree inventory and interactive online map maintained by the municipality of Meran, Italy (quoted by Speak et al [36]). Normalization and aggregation represent always crucial steps in CI design, while frequent subtopics concern weighting and compensatory or not-compensatory frameworks [25,39,40]. The possibility of combining indicators in a variety of patterns leads to another very important phase: sensitivity analysis aimed at ascertaining the level of robustness of a given CI [5,14,31].…”

Section: A State-of-the-art Summary On Composite Indicators Design: Gmentioning

confidence: 99%

“…where I i stands for the i-th indicator, and n for the number of indicators (in our case, three) (see also the similar case of the three indicator-based HDI, as discussed by Karagiannis and Karaggiannis [3]). The generalized geometric mean supplies CI able to merge compensatory (i.e., an increase of one indicator can be balanced by the decrease of another indicator) and non-compensatory frameworks [40] and follows this formula:…”

Section: Robustness and Sensitivitymentioning

confidence: 99%

Assessing Landscape Fragmentation: A Composite Indicator

et al. 2020

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The assessment and management of landscape fragmentation (LF), i.e., the subdivision of the habitat into smaller and more isolated patches, can benefit from the adoption of a composite indicator explaining, in a unique measure, the various concerns involved. However, the use of composite indicators may be affected by lack of data, subjectivity in algorithm design, and oversimplification connected to reduction to just one index. In these cases, the findings obtained might not provide the researcher with reliable information. In this paper, we design and apply the Composite Indicator of Landscape Fragmentation (CILF), a metric resuming three indicators concerning the effect on LF of transport and mobility infrastructures, human settlements, and patch density per se. The application concerns the measurement of LF spatial pattern and dynamics from 2003 to 2008 of 51 landscape units in the island of Sardinia (Italy). We considered a complete spatial data set, chose the generalized geometric mean as aggregation algorithm, and verified its robustness via sensitivity analysis of the results. We found that, in 2003 and 2008, the CILF spatial pattern shows higher values in coastal areas and has varied randomly, i.e., without a consistent tendency to converge to, or diverge from, a mean value. Overall, we demonstrate that the CILF is a powerful instrument for monitoring LF in Sardinia and advocate that it can be further implemented, following the same methodological framework, by extending the pool of indicators considered and assessing a weighted version of the composite indicator.

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MRP-WSCI: Multiple reference point based weak and strong composite indicators

Cited by 38 publications

References 46 publications

A Process Oriented MCDM Approach to Construct a Circular Economy Composite Index

A Process Oriented MCDM Approach to Construct a Circular Economy Composite Index

Sustainability in Forest Management Revisited Using Multi-Criteria Decision-Making Techniques

Assessing Landscape Fragmentation: A Composite Indicator

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