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Digital Innovation And Employment Creation in Morocco: Econometric Modeling

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  • SALMI Yahya

Abstract

This study analyzes the effect of digital innovation on job creation in Morocco using a structural vector autoregressive (SVAR) model. The analysis is based on quarterly macroeconomic data covering the period Q1 1965–Q4 2025 and focusing on five variables: job creation, digital innovation, investment, human capital, and foreign direct investment. The methodology employs ADF stationarity tests, Johansen cointegration tests, Granger causality tests, impulse response functions, and forecast error variance decomposition. The results show that the model is stable and that digital innovation has a positive, progressive, and sustained effect on job creation. They also highlight the decisive role of human capital in transmitting the effects of digital transformation, while the contributions of investment and foreign direct investment remain more modest. These results underscore the importance of strengthening digital infrastructure, workforce skills, and policies supporting innovation in order to promote sustainable, job-creating growth in Morocco.

Suggested Citation

  • SALMI Yahya, 2026. "Digital Innovation And Employment Creation in Morocco: Econometric Modeling," Review of Advanced Research on Quantitative Economics, Applied Finance and Business, Ibn Tofail University, vol. 1(3).
    • Handle: RePEc:vty:rarqfb:v:1:y:2026:i:3
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