FDI, Information and Communication Technology, and Economic Growth: Empirical Evidence from Morocco

Anass Arbia, Khalid Sobhi, Mohamedou Karim and Mohammed Eddaou ()
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Anass Arbia: UM5 - Université Mohammed V de Rabat [Agdal]
Khalid Sobhi: UM5 - Université Mohammed V de Rabat [Agdal]
Mohamedou Karim: UM5 - Université Mohammed V de Rabat [Agdal]
Mohammed Eddaou: UMP - Professor, Faculty of Law, Economics and Social Sciences, University Mohammed First, Oujda, Morocco.

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Abstract: Abstract The document analyzes the relationship between FDI (Foreign Direct Investment), ICT (Information and Communication Technology), and economic growth in Morocco for the period from 1990 to 2021 using the ARDL model. Three models have been evaluated, with economic growth, FDI, and ICT as dependent variables in each respective model. In model (1), the results indicate that in the short term, economic growth is not positively related to FDI and ICT. However, in the long term, FDI positively contributes to economic growth, while ICT negatively affects it. A controlled inflation rate has a positive short-term effect, and the level of education shows a positive relationship in both the short and long term. In Model (2), economic growth and government spending have a significant short-term effect on FDI, while ICT has no effect. In the long term, economic performance and inflation remain important for FDI. Model (3) confirms a significant short-term relationship between FDI and ICT, with a negative impact. However, ICT is positively influenced by the inflation rate and the level of education. In the long term, FDI, demographic changes, and education have favorable and significant effects, while economic growth has a negative impact. Regarding the Granger causality test by Toda-Yamamoto, the cause-and-effect relationship between ICT and economic growth is strong and unidirectional, while economic growth influences the level of ICT development. On the other hand, the causality between FDI and ICT concerning economic growth is indirect and depends on factors such as population growth, education level, and inflation rate. JEL classification numbers: C190, F21, F30, L96, O55. Keywords: Economic growth, FDI, Information and Communication technology, ARDL model, Toda-Yamamoto causality.

Keywords: JEL classification numbers: C190 F21 F30 L96 O55 Economic growth FDI Information and Communication technology ARDL model Toda-Yamamoto causality; JEL classification numbers: C190; F21; F30; L96; O55 Economic growth; FDI; Information and Communication technology; ARDL model; Toda-Yamamoto causality (search for similar items in EconPapers)
Date: 2023-09-14
New Economics Papers: this item is included in nep-ara, nep-fdg, nep-ict and nep-int
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Published in Advances in Management and Applied Economics, 2023, 13 (6), pp.189-214. ⟨10.47260/amae/13610⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04207179

DOI: 10.47260/amae/13610

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