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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References
Carril-Caccia, F., Pavlova, E.: Foreign direct investment and its drivers: a gloval and EU perspective. ECB Econ. Bull. 4 (2018)
OECD, Foreign direct investment (FDI) (2019). https://doi.org/10.1787/9a523b18-en
IMF, Foreign direct investment statistics – How countries measure FDI 2001, pp. 24–25. Washigton, DC (2003)
Investopedia. https://www.investopedia.com/. Accessed 8 Nov 2020
Ramondo, N., Rappoport, V., Ruhl, K.J.: Horizontal Versus Vertical Foreign Direct Investment: Evidence from U.S. Mutlinationals. Mimeo, NYU Stern (2013)
UNCTAD, World investment report 2018. United Nations Publication (2018)
UN, Sustainable development goals. https://sdgs.un.org/. Accessed 6 Nov 2020
UN, Resolution adopted by the General Assembly on 6 July 2017
Nezhnikova, E., Kashirin, V., Davydova, Y., Kazakova, S.: Methodology for determining the investment attractiveness of construction of high-rise buildings. E3S Web Conf. 33, 03031 (2018). https://doi.org/10.1051/e3sconf/20183303031
Ilyash, O., Yildirim, O., Smoliar, L., Doroshkevych, D., Vasylciv, T., Lupak, R.: Evaluation of enterprise investment attractiveness under circumstances of economic development. Bull. Geogr. Socio-Econ. Ser. 47, 95–113 (2020). https://doi.org/10.2478/bog-2020-0006
Glotova, I.I., Tomilina, E.P., Doronin, B.A., Lkishina, Yu.E., Uglitskikh, O.N.: Investment attractiveness of the company: definition approaches and assessment methods. Adv. Soc. Sci. Educ. Humanit. Res. 333 (2019). https://doi.org/10.2991/hssnpp-19.2019.162
Kramin, M.V., Safiullin, L.N., Kramin, T.V., Timiryasova, A.V.: Drivers of economic growth and investment attractiveness of Russian regions. Life Sci. J. 11, 526–530 (2014)
Valinurova, L.S., Kazakova, O.B., Sulimova, E.A.: Evaluation of investment attractiveness and prediction of investment volumes to the region. Mediterr. J. Soc. Sci. 6(5), S3 (2015). https://doi.org/10.5901/mjss.2015.v6n5s3p371
Woo, J.-Y., Heo, U.: Corruption and foreign direct investment attractiveness in Asia. Asian Polit. Policy 1(2), 223–238 (2009). https://doi.org/10.1111/j.1943-0787.2009.01113.x
The World Bank. https://databank.worldbank.org/. Accessed 5 Nov 2020
UN Human development index. http://hdr.undp.org/en/content/human-development-index-hdi. Accessed 7 Nov 2020
WEF. The gloval competitiveness report (2019). http://www3.weforum.org/. Accessed 5 Nov 2020
Greco, S., Ishizaka, A., Tasiou, M., Torrisi, G.: On the methodological framework of composite indices: a review of the issues of weighting, aggregation, and robustness. Soc. Indic. Res. 141(1), 61–94 (2018). https://doi.org/10.1007/s11205-017-1832-9
Mazziotta, M., Pareto, A.: Methods for constructing composite indices: one for all or all for one? Ital. Rev. Econ. Demography Stat. 7(2), 67–80 (2013)
Becker, W., Saisana, M., Paruolo, P., Vandecasteele, I.: Weights and importance in composite indicators: closing the gap. Ecol. Ind. 80, 12–22 (2017). https://doi.org/10.1016/j.ecolind.2017.03.056
OECD, European Commission: Handbook on Constructing Composite Indicators: Methodology and User Guide. OECD, Paris (2008)
Talukder, B., Hipel, K.W., vanLoon, G.W.: Developing composite indicators for agricultural sustainability assessment: effect of normalization and aggregation techniques. MDPI Resour. 6, 66 (2017). https://doi.org/10.3390/resources6040066
Nardo, M., Munda, G.: Constructing Consistent Composite Indicators: The Issue of Weights. European communities (2005)
Gan, X., et al.: When to use what: methods for weighting and aggregating sustainability indicators. Ecol. Ind. 81, 491–502 (2017). https://doi.org/10.1016/j.ecolind.2017.05.068
Mauricio-Iglesias, M., Longo, S., Hospido, A.: Designing a robust index for WWTP energy efficiency: the ENERWATER water treatment energy index. Sci. Total Environ. 713, 136642 (2020). https://doi.org/10.1016/j.scitotenv.2020.136642
IEA, Data and statistics. https://www.iea.org/data-and-statistics. Accessed 4 Nov 2020
CIA, The world factbook. https://www.cia.gov/library/publications/resources/the-world-factbook/. Accessed 6 Nov 2020
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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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