Impact of Education, Life Expectancy, and Labour Force on Economic Growth: The Case of Morocco

Objective: This study aims to examine the relationship between life expectancy, labor force participation, and education with respect to Morocco's economic growth. Methodology: the effects of endogenous and exogenous theories on economic growth are investigated in this study. we exploit the ARDL approach. the dependent variable in our panel data regression methodology was GDP per capita. 23 observations overall from Morocco between 2000 and 2022 are included in our analysis. Secondary data from World Bank databases was used in the study. the main objective of the essay is to present and provide data analysis. Methodological contributions: indicate that life expectancy and economic growth are positively correlated, however there is a negative link between labor force participation and education. Findings: the study's findings imply that Morocco's economic growth initiatives need to be long-term. Therefore, raising the population's standard of living is necessary to assist the implementation of economic growth initiatives. This study's originality may reside in the way it examines how life expectancy, education, and labor force participation affect economic growth. Research/Practical Implications: Morocco's expertise with this subject might offer a distinctive viewpoint to the corpus of empirical study that has already been done.

Authors

Institutions

Publication Details

Journal
International Journal of Religion
Published
2024-08-16
DOI
https://doi.org/10.61707/77rad770
Citations
1
Primary Topic
Economic Growth and Productivity
Type
article
Field-Weighted Citation Impact
1.13
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of Education, Life Expectancy, and Labour Force on Economic Growth: The Case of Morocco

Yahya Fikri, Rhalma Mohamed
1 citations
International Journal of Religion
Economic Growth and Productivity
1.13
article

Impact of Education, Life Expectancy, and Labour Force on Economic Growth: The Case of Morocco

Yahya Fikri, Rhalma Mohamed
article en
1 citations

Abstract

Objective: This study aims to examine the relationship between life expectancy, labor force participation, and education with respect to Morocco's economic growth. Methodology: the effects of endogenous and exogenous theories on economic growth are investigated in this study. we exploit the ARDL approach. the dependent variable in our panel data regression methodology was GDP per capita. 23 observations overall from Morocco between 2000 and 2022 are included in our analysis. Secondary data from World Bank databases was used in the study. the main objective of the essay is to present and provide data analysis. Methodological contributions: indicate that life expectancy and economic growth are positively correlated, however there is a negative link between labor force participation and education. Findings: the study's findings imply that Morocco's economic growth initiatives need to be long-term. Therefore, raising the population's standard of living is necessary to assist the implementation of economic growth initiatives. This study's originality may reside in the way it examines how life expectancy, education, and labor force participation affect economic growth. Research/Practical Implications: Morocco's expertise with this subject might offer a distinctive viewpoint to the corpus of empirical study that has already been done.

International Journal of ReligionVol. 5(11)
Abdelmalek Essaâdi University (MA)
Decent work and economic growth
Openalex Percentile: Top 12%
Economic Growth and Productivity
1.13
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.