1. Evaluating the sustainable development of inner and marginalized areas through an integrated social-biophysical assessment: Introducing the PAISDA framework.
- Author
-
Corsi, G., Navrud, S., Buonocore, E., Sapio, A., and Franzese, P.P.
- Subjects
- *
ECOLOGICAL economics , *MULTIPLE criteria decision making , *SUSTAINABLE development , *INDEXATION (Economics) , *DECISION making - Abstract
• Inner and marginalized areas: an increasingly relevant issue at European level. • Inner areas as socio-ecological systems (SES): an integrated sustainability approach. • An innovative methodology to design a system of indicators of sustainability. • Theoretical background based on Ecological Economics and strong sustainability. • Multi-criteria framework for a standardized social-biophysical evaluation grid. The phenomenon of inner peripherality is on the rise in Europe. Inner peripheries can be defined as peripheral rural areas experiencing territorial disconnection and progressive marginalization given their distance to urban centres, where the supply of services is concentrated. Assessing and comparing the sustainable development of these areas according to nuanced and integrated social-biophysical perspectives is crucial to highlight their genuine long-term sustainability potential and critical aspects. Moreover, it is essential to monitor that the socio-economic development of the latter goes hand in hand with territorial stewardship and an appropriate management of their extensive natural endowments. To achieve these objectives, this paper illustrates an innovative methodology to design a multi-criteria evaluation framework named PAISDA (Peripheral Areas Integrated Sustainable Development Assessment). The framework, based on the theoretical background of ecological economics, makes it possible to monitor the sustainable development of inner and marginalized areas according to a "post-growth" approach. It also allows a shift towards a strong sustainability perspective by assessing the phenomenon in an integrated way, which combines social and biophysical dimensions. This can help to design more robust and better targeted policies for these areas, thereby improving local strategic planning. The assessment process is as follows: first, the values of lower order components are computed through a reflective measurement model, then aggregated to form the values of higher order components, which are used as criteria in the last phase of multi-criteria decision analysis (MCDA). The choice of normalization and aggregation methods responds to methodological coherence. The paper describes a step-by-step procedure for applying the PAISDA framework in any European country, providing an illustrative example of its implementation in relation to Italian inner areas. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF