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.
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Notes
- 1.
STeMA-TIA is a copyrighted tool owned by Maria Prezioso © (all rights reserved); copyright no. 0602007/2006.
- 2.
Indicators are seen as messengers/receptors of the impact at different policy levels.
- 3.
Drawing on the AHP technique, each level is determined by three weighting criteria: absolute, distributive and ideal mode (Saaty and Vargas 1993).
- 4.
WIx refers to the weight of the indicator I, which depends on the position or capacity of I to apply a given policy and its contents, as per its determinant D (e.g. smart growth in the Europe 2020 Strategy). During policy assessment, the weight can show how important the objectives and actions must be in order to reach a given target. The Impact can also be defined according to its intrinsic and specific weight.
- 5.
The quality of each indicator refers to its initial state, which can be incremented due to the impact of a policy during a TIA process.
- 6.
In order to make them verifiable, all values have been normalised according to a 0–1 scale, which makes quantitative weighting possible.
- 7.
Also known as the capacity of a system to maintain/reacquire balanced positions.
- 8.
The term ‘impact’ here is used to describe the moment a given aspect is modified, due to the contact between an indicator/receptor and a policy action.
- 9.
The impact level that a policy action has in the attempt to reach set targets.
- 10.
Cf. for instance 3, 2, 1 and 0 in the Lisbon/Gothenburg Strategy evaluation.
- 11.
The matrix correlation for weight, effect and indicator/receptor will return values that can range from ‘absolute’ (A) to ‘absent’ (‘nil’); they can be easily detected in the STeMA-TIA GIS and in its mapping process.
- 12.
The application of STeMA-TIA can be found in projects such as: the CADSES project POLY.DEV (Italy, Slovenia, Slovakia, Bulgaria and Greece) (Prezioso 2007); the NewCiMed project under the ENPI CBC Med Programme (Italy, Spain, Greece, Tunisia, Jordan and Lebanon); Observation and Territorial activities of the Centre of Excellence–Technological District of Cultural Heritage of the Lazio Region; the planning activities across the metropolitan city of Rome; the green economy development (Prezioso et al. 2016); the spending review of Italian regions (Prezioso 2019); the relation with the Maritime Spatial Planning (D’Orazio and Prezioso, 2017).
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Prezioso, M. (2020). STeMA: A Sustainable Territorial Economic/Environmental Management Approach. In: Medeiros, E. (eds) Territorial Impact Assessment . Advances in Spatial Science. Springer, Cham. https://doi.org/10.1007/978-3-030-54502-4_4
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