STeMA: A Sustainable Territorial Economic/Environmental Management Approach
Maria Prezioso ()
Additional contact information
Maria Prezioso: University of Rome “Tor Vergata”
Chapter 4 in Territorial Impact Assessment, 2020, pp 55-76 from Springer
Abstract:
Abstract The STeMA-TIA model has been devised to support an integrated strategic vision of general, territorialised and sectoral policies at all decision-making levels. This assessment tool was created within the context of spatial planning and as part of the territorial dimension of the European Strategies. STeMA-TIA is based on an original qualitative-quantitative methodological approach comprising 10 simplifying hypotheses and 9 logical steps. It develops along interactive coaxial matrices (indicators-policies-effects), which return ex ante and ex post results and maps. It was fruitfully applied to the Territorial Dimension within the Lisbon/Gothenburg Strategy, the Territorial Cohesion Policy, and National and Regional Operative Plans 2020, as well as to Italian structural reforms at the metropolitan and regional level. The strength of this tool lies in its flexibility and ability to combine different indicators related to economic, social, environmental, cultural, organisational and financial dimensions, which assess Territorial Impact Assessment in relation to original Systemic Territorial Functional Typologies. One existing weakness of STeMA-TIA is that, during a pairwise comparison process, identifying indicators such as ‘dominant’ and ‘secondary’ may not always be straightforward. Further developments and applications may help overcome this limitation. Future applications of STeMA-TIA include using it to measure Territorial Cohesion within green economy policies at the national-regional level or to evaluate the post-2020 Europe strategy, cultural heritage and tourist strategies via Innovative Technologies and within Smart Specialisation Strategy.
Keywords: Territorial impact assessment; STeMA; European sustainable policies (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-030-54502-4_4
Ordering information: This item can be ordered from
http://www.springer.com/9783030545024
DOI: 10.1007/978-3-030-54502-4_4
Access Statistics for this chapter
More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().