Approaches to Prognosing the European Economic Crisis Through a New Economic–Financial Risk Sensitivity Model DOI Creative Commons
Monica Laura Zlati, Costinela Forțea,

Alina Meca

et al.

Economies, Journal Year: 2024, Volume and Issue: 13(1), P. 3 - 3

Published: Dec. 31, 2024

This paper presents a novel approach to prognosing European economic crises through the development of an economic–financial risk sensitivity model. The model integrates key macroeconomic indicators such as government deficit (NETGDP), GINI coefficient, social protection expenditure (ExSocP), unemployment rate (UNE), research and spending (RDGDP), tax structures (TXSwoSC), assessing their role in predicting vulnerability across countries. By applying Kruskal–Wallis non-parametric test on data from 324 observations multiple countries, significant differences were identified distribution these variables. results show that policies related protection, R&D, taxation play important country’s resilience shocks. On other hand, income inequality exhibit less variation, reflecting global conditions. provides comprehensive assessment framework, allowing for early detection potential guiding policy adjustments mitigate risks. methodology offers valuable insights into economies financial disruptions, emphasizing importance fiscal maintaining stability.

Language: Английский

Unleashing digital transformation to achieve the sustainable development goals across multiple sectors DOI Creative Commons
Vincenzo Varriale, Mark Anthony Camilleri, Antonello Cammarano

et al.

Sustainable Development, Journal Year: 2024, Volume and Issue: unknown

Published: July 27, 2024

Abstract Digital technologies have the potential to support achieving Sustainable Development Goals (SDGs). Existing scientific literature lacks a comprehensive analysis of triple link: “digital – different industry sectors SDGs”. By systematically analyzing extant literature, 1098 sustainable business practices been collected from 578 papers, using 11 digital in 17 industries achieve SDGs. For instance, find that artificial intelligence can be used affordable and clean energy (SDG 7), responsible consumption production 12) as well address climate change 13). Further, geospatial may applied agricultural reduce hunger various domains 2), foster good health well‐being 3), improve availability water sanitation facilities 6), raise awareness on 12), safeguard life land 15), among other insights.

Language: Английский

Citations

9
Approaches to Prognosing the European Economic Crisis Through a New Economic–Financial Risk Sensitivity Model DOI Creative Commons
Monica Laura Zlati, Costinela Forțea,

Alina Meca

et al.

Economies, Journal Year: 2024, Volume and Issue: 13(1), P. 3 - 3

Published: Dec. 31, 2024

This paper presents a novel approach to prognosing European economic crises through the development of an economic–financial risk sensitivity model. The model integrates key macroeconomic indicators such as government deficit (NETGDP), GINI coefficient, social protection expenditure (ExSocP), unemployment rate (UNE), research and spending (RDGDP), tax structures (TXSwoSC), assessing their role in predicting vulnerability across countries. By applying Kruskal–Wallis non-parametric test on data from 324 observations multiple countries, significant differences were identified distribution these variables. results show that policies related protection, R&D, taxation play important country’s resilience shocks. On other hand, income inequality exhibit less variation, reflecting global conditions. provides comprehensive assessment framework, allowing for early detection potential guiding policy adjustments mitigate risks. methodology offers valuable insights into economies financial disruptions, emphasizing importance fiscal maintaining stability.

Language: Английский

Citations

0