Sustainability at the Local Scale: Defining Highly Aggregated Indices for Assessing Environmental Performance. The Province of Reggio Emilia (Italy) as a Case Study

In order to achieve improved sustainability, local authorities need to use tools that adequately describe and synthesize environmental information. This article illustrates a methodological approach that organizes a wide suite of environmental indicators into few aggregated indices, making use of correlation, principal component analysis, and fuzzy sets. Furthermore, a weighting system, which includes stakeholders’ priorities and ambitions, is applied. As a case study, the described methodology is applied to the Reggio Emilia Province in Italy, by considering environmental information from 45 municipalities. Principal component analysis is used to condense an initial set of 19 indicators into 6 fundamental dimensions that highlight patterns of environmental conditions at the provincial scale. These dimensions are further aggregated in two indices of environmental performance through fuzzy sets. The simple form of these indices makes them particularly suitable for public communication, as they condensate a wide set of heterogeneous indicators. The main outcomes of the analysis and the potential applications of the method are discussed.

[1]  Knut H. Alfsen,et al.  Environmental quality indicators: Background, principles and examples from Norway , 1993, Environmental and Resource Economics.

[2]  D. Stanners,et al.  Europe's environment : the Dobrís assessment , 1995 .

[3]  M. Greenacre,et al.  Correspondence analysis in the Social Sciences : recent developments and applications , 1994 .

[4]  Joseph J. Harrington,et al.  Effective dimensionality of environmental indicators: a principal component analysis with bootstrap confidence intervals , 1998 .

[5]  Kristine L. Kelly A systems approach to identifying decisive information for sustainable development , 1998, Eur. J. Oper. Res..

[6]  Donald A. Jackson STOPPING RULES IN PRINCIPAL COMPONENTS ANALYSIS: A COMPARISON OF HEURISTICAL AND STATISTICAL APPROACHES' , 1993 .

[7]  J. Edward Jackson,et al.  A User's Guide to Principal Components: Jackson/User's Guide to Principal Components , 2004 .

[8]  Christer Carlsson,et al.  Fuzzy multiple criteria decision making: Recent developments , 1996, Fuzzy Sets Syst..

[9]  Marc Roubens,et al.  Fuzzy sets and decision analysis , 1997, Fuzzy Sets Syst..

[10]  A. Bodini,et al.  Environmental quality and sustainability in the province of Reggio Emilia (Italy): using multi-criteria analysis to assess and compare municipal performance. , 2001, Journal of environmental management.

[11]  J. Voogd,et al.  Multicriteria evaluation for urban and regional planning , 1982 .

[12]  H. Bossel Indicators for sustainable Development : theory, method, applications : a report to the Balaton Group , 1999 .

[13]  Peter Hardi,et al.  Assessing sustainable development : principles in practice , 1997 .

[14]  D. Meadows Indicators and Information Systems for Sustainable Development , 2021, The Earthscan Reader in Sustainable Cities.

[15]  J. E. Jackson A User's Guide to Principal Components , 1991 .

[16]  Didier Dubois,et al.  Fuzzy information engineering: a guided tour of applications , 1997 .

[17]  Peter Nijkamp,et al.  Multicriteria analysis for land-use management , 1998 .

[18]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..