The paper is set within the methodological framework of the Territorial Impact Assessment (TIA) process, which is an instrument designed to facilitate sustainable and cohesive policy-making choices at the European level. The article is developed within the context of a European H2020-RICE cooperative project, which utilises the STeMA (Sustainable Territorial Econom-ic/Environmental Management Approach) TIA methodology to investigate the potential relation-ship between statistical economic indicators, specifically Gross Domestic Product, and related pa-rameters (metadata), and Earth Observation (EO) data. The objective is to provide evidence of so-cioeconomic trends during the Coronavirus 2019 pandemic in the Lazio Region (Italy), with a par-ticular focus on the metropolitan area of the Rome capital city Rome. In line with the pertinent European context and the scientific literature on the subject, the paper examines the potential for combining classical and Earth observation indicators to assess macroeconomic dimensions of de-velopment, specifically in terms of gross domestic product (GDP). The results of the analysis indi-cate the presence of certain correlations between grey data and EO information. The STeMA-TIA approach allows for the measurement and correlation of both qualitative and quantitative statistical indicators with typological functional areas (in accordance with European Commission-EC and Committee of Ministers responsible for Spatial/Regional Planning—CEMAT guidance) at the NUTS (Nomenclature des unités territoriales statistiques) 2 and 3 levels. This facilitates the territorialisa-tion of information, enabling the indirect comparison of data with satellite data and economic trends. A time series of data was gathered and organised for the purpose of facilitating comparison between different periods, beginning with 2019 and extending to the present day. In order to measure and monitor the evolution of the selected territorial economies (the Lazio Region), a syn-thetic index (or composite indicator) was developed in the economic and epidemic dimensions. This index combines single values of indicators according to a specific STeMA methodology. It is important to note that there are some critical observations to be made about the impact on GDP, due to the discrepancy between the indicators in the two fields of observation.

Prezioso, M. (2024). Is It Possible to Establish an Economic Trend Correlating Territorial Assessment Indicators and Earth Observation? A Critical Analysis of the Pandemic Impact in an Italian Region. SUSTAINABILITY, 16(19), 1-19.

Is It Possible to Establish an Economic Trend Correlating Territorial Assessment Indicators and Earth Observation? A Critical Analysis of the Pandemic Impact in an Italian Region

Prezioso, Maria
2024-10-09

Abstract

The paper is set within the methodological framework of the Territorial Impact Assessment (TIA) process, which is an instrument designed to facilitate sustainable and cohesive policy-making choices at the European level. The article is developed within the context of a European H2020-RICE cooperative project, which utilises the STeMA (Sustainable Territorial Econom-ic/Environmental Management Approach) TIA methodology to investigate the potential relation-ship between statistical economic indicators, specifically Gross Domestic Product, and related pa-rameters (metadata), and Earth Observation (EO) data. The objective is to provide evidence of so-cioeconomic trends during the Coronavirus 2019 pandemic in the Lazio Region (Italy), with a par-ticular focus on the metropolitan area of the Rome capital city Rome. In line with the pertinent European context and the scientific literature on the subject, the paper examines the potential for combining classical and Earth observation indicators to assess macroeconomic dimensions of de-velopment, specifically in terms of gross domestic product (GDP). The results of the analysis indi-cate the presence of certain correlations between grey data and EO information. The STeMA-TIA approach allows for the measurement and correlation of both qualitative and quantitative statistical indicators with typological functional areas (in accordance with European Commission-EC and Committee of Ministers responsible for Spatial/Regional Planning—CEMAT guidance) at the NUTS (Nomenclature des unités territoriales statistiques) 2 and 3 levels. This facilitates the territorialisa-tion of information, enabling the indirect comparison of data with satellite data and economic trends. A time series of data was gathered and organised for the purpose of facilitating comparison between different periods, beginning with 2019 and extending to the present day. In order to measure and monitor the evolution of the selected territorial economies (the Lazio Region), a syn-thetic index (or composite indicator) was developed in the economic and epidemic dimensions. This index combines single values of indicators according to a specific STeMA methodology. It is important to note that there are some critical observations to be made about the impact on GDP, due to the discrepancy between the indicators in the two fields of observation.
9-ott-2024
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore GEOG-01/B - Geografia economico-politica
English
territorial impact assessment; Earth observation; economic geography; COVID-19
This research received no external funding, but it was developed within the H2020-RISE project Economy bY spacE (EYE). Impact of the COVID-19 outbreak on economies (IT-Lead, ES, PL, CY, GR, US). https://cordis.europa.eu/project/id/101007638/reporting/it devoted to the H2020-RISE project Economy by spacE (EYE). Impact of the COVID-19 outbreak on economies
https://www.mdpi.com/2071-1050/16/19/8695
Prezioso, M. (2024). Is It Possible to Establish an Economic Trend Correlating Territorial Assessment Indicators and Earth Observation? A Critical Analysis of the Pandemic Impact in an Italian Region. SUSTAINABILITY, 16(19), 1-19.
Prezioso, M
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/385723
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