Economic intellectual growth significance and youth unemployment: a cross-country analysis (2000-2023)

The study presents a dynamic interaction between the pace of intellectual economic growth and youth unemployment in four countries: Brazil, South Africa, Germany, and the USA. The analysis spans 23 years, from 2000 to 2023. A deeper study of secondary data gathered from reliable worldwide sources is investigated in this research project using the quantitative research approach. According to the data, youth unemployment was predicted and influenced by economic growth at different times. The influence of major variables, such as the inflation rate, wage levels, and foreign direct investment (FDI), varied among the countries. Unexpectedly, South Africa's GDP growth rate correlates adversely with youth unemployment, while foreign direct investment correlates positively. The Brazil analysis identified no significant predictors, suggesting other variables may affect the model. The study employs regression models and Granger causality tests to find trends, correlations, and probable causal links between economic indicators and teenage labour market outcomes. Pre-processing and data extraction with STATA organise and purify data for research analysis.

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Publication Details

Journal
International Journal of Intellectual Property Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijipm.2025.146202
Primary Topic
Economic Growth and Productivity
Type
article
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article

Economic intellectual growth significance and youth unemployment: a cross-country analysis (2000-2023)

Xiaolin Ma, Mengyang Gu, Xingmei Hu
International Journal of Intellectual Property Management
Economic Growth and Productivity
article

Economic intellectual growth significance and youth unemployment: a cross-country analysis (2000-2023)

Xiaolin Ma, Mengyang Gu, Xingmei Hu
article en

Abstract

The study presents a dynamic interaction between the pace of intellectual economic growth and youth unemployment in four countries: Brazil, South Africa, Germany, and the USA. The analysis spans 23 years, from 2000 to 2023. A deeper study of secondary data gathered from reliable worldwide sources is investigated in this research project using the quantitative research approach. According to the data, youth unemployment was predicted and influenced by economic growth at different times. The influence of major variables, such as the inflation rate, wage levels, and foreign direct investment (FDI), varied among the countries. Unexpectedly, South Africa's GDP growth rate correlates adversely with youth unemployment, while foreign direct investment correlates positively. The Brazil analysis identified no significant predictors, suggesting other variables may affect the model. The study employs regression models and Granger causality tests to find trends, correlations, and probable causal links between economic indicators and teenage labour market outcomes. Pre-processing and data extraction with STATA organise and purify data for research analysis.

International Journal of Intellectual Property ManagementVol. 15(3)
Kookmin University (KR), Zhejiang Financial College (CN), Yiwu Science and Technology Research Institute (CN)
Decent work and economic growth
Openalex Percentile: Top 85%
Economic Growth and Productivity
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Economic intellectual growth significance and youth unemployment: a cross-country analysis (2000-2023) — Xiaolin Ma, Mengyang Gu, et al. · International Journal of Intellectual Property Management (2025) | TGRS Research Map | TGRS