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Assessment of Industrial Investment Attractiveness and the Role of Environmental Stewardship in the Mediterranean Countries – A Composite-Index Appraoch

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Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) (AI2SD 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1417))

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Abstract

Investment attractiveness is considered as an important pillar for driving both inward and outward foreign direct investment in a given country. In fact, the level of investment appeal can be evaluated using various approaches and criteria due to the increasing complexity of this concept. This study evaluates the level of investment attractiveness in the Mediterranean countries based on four major dimensions namely policy & regulations, social dynamics, economic prosperity, and environmental stewardship and 31 sub-indicators. A composite index was created and quantified using the proportionate normalization technique and the geometric product aggregation and the overall scores of different countries were provided for the year of the most recent data 2019. The results showed that in line with previous studies, major economies (France (0.688), Israel (0.612), Italy (0.609), and Spain (0.594)) lead the region with the top best performances of investment attractiveness. On the other hand, Libya (0.296) and Syria (0.294) are ranked on the bottom of the list due to various factors that are discussed in details along with the performances of countries in between. Major recommendations for enhancing investment attractiveness in the region were provided after analyzing the main outcomes in order to empower decision makers with factual data regarding future policies in the Mediterranean.

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Ammari, M., Chentouf, M., Ammari, M., Allal, L.B. (2022). Assessment of Industrial Investment Attractiveness and the Role of Environmental Stewardship in the Mediterranean Countries – A Composite-Index Appraoch. In: Kacprzyk, J., Balas, V.E., Ezziyyani, M. (eds) Advanced Intelligent Systems for Sustainable Development (AI2SD’2020). AI2SD 2020. Advances in Intelligent Systems and Computing, vol 1417. Springer, Cham. https://doi.org/10.1007/978-3-030-90633-7_54

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