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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Investment opportunities in the FES-MEKNES region: an econometric modeling trial

Authors: LABOUCH Lamyaa; MANSOURI ZAHRA;

Investment opportunities in the FES-MEKNES region: an econometric modeling trial

Abstract

ABSTRACT The objective of this article is to provide the main factors of attractiveness for foreign investors in the manufacturing and logistics sectors of the region of FES-MKNES in Morocco. The conceptual model was developed from literature review and interviews with a sample of the leaders of foreign small and medium enterprises (SMEs). The empirical analysis is carried out using data from a survey of executives of these foreign (manufacturing and logistics) companies based in the region of FES-MKNES. The use of the Partial Least Squares (PLS) approach allowed us to test the causal links between the various political, economic, social, technological, legal and environmental (PESTEL) factors. The scientific interest of the model is to provide decision makers of the region of FES-MKNES with the recommendations to improve the development and attractiveness of foreign investments in both logistics and manufacturing sectors. KEYWORDSTerritorial attractiveness; PESTEL; PLS; manufacturing and logistics activities

Keywords

International Journal Of Applied Management And Economics, IJAME, Territorial attractiveness; PESTEL; PLS; manufacturing and logistics activities

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average