Sustainable development goals (SDGs) are intended to be attained as a balanced whole. However, significant interactions (the synergies and trade-offs) between the SDGs have caused the need, especially in developing economies, to identify and pursue them in line with their particular developmental needs. The research intends to empirically investigate the relationship between selected UN SDGs and GDP growth rate as a proxy for economic well-being in Saudi Arabia. We also investigate the role of education and training in achieving SDGs in accordance with the Saudi Vision 2030, which places emphasis on the knowledge economy. This research employs multiple regression analysis to explore the relationship between the SDG variables and the GDP. The results show that education and training, gender equity/women’s empowerment, greenhouse gas emissions, and decent employment are positively and significantly related to the GDP growth, whereas poverty, hunger, and health appear to be negatively related. The research indicates that education and training can promote economic, socioeconomic, and health goals without compromising environmental goals. Consequently, the Saudi government should invest more in education and training to maximize synergies and minimize tradeoffs between the SDGs. This will help to promote sustainable employment generation, build human capital, improve socioeconomic empowerment through technology, and boost economic growth.

This study analyzes the role of education, training, and e-learning (ETL) in empowering Saudi society, leading to sustainable employment generation in Saudi Arabia. It applies the theory of constructivism, scoping to human aspects of teaching and learning in sustainable employment generation and social empowerment. The study primarily collects the existing variable pools from the available literature on education (EDU), training (TRA), e-learning (ELRN), government policies (GPOL), national culture (NCUL), sustainable employment generation (SUEG), and social empowerment (SEMP). The study performs second-order partial least squares structural equation modeling (PLS-SEM) with moderation analysis. The study aims to obtain the combined effect of ETL on SUEG and SEMP in the presence of GPOL and NCUL in Saudi Arabia. Primarily, the results of the path diagram show that ETL has a significant direct impact on SEMP and SUEG. Secondly, the moderation analysis results show that GPOL has been a significant moderator between ETL and SUEG and ETL and SEMP. In contrast, the analysis results show that the NCUL is not a significant moderator between ETL and SUEG, or between ETL and SEMP. Additionally, the moderation analysis results show that NCUL directly impacts SEMP. In contrast, it does not show a significant direct relationship with SUEG. In the article, the theory of constructivism emphasizes the learners’ active role in constructing knowledge, which is significant for both individuals and society, and the validity of constructed knowledge and its realistic representation in the real world. The practical implementation of the education and e-learning approach of constructivism will help to bridge the gap between the skilled workforce in Saudi Arabia and the rest of the world. Moreover, the students, as learners, will be able to assert their experiences by connecting with the outside world, constructing a sustainable society, leading to sustainable employment generation and social empowerment in Saudi Arabia. The study also has a broad scope for higher educational institutions, training centers, and organizations in Saudi Arabia and the rest of the world.

The article employs auto-regressive distributed lag (ARDL) cointegration and error-correction modelling to study the long-run impact of investment, exports, imports, and three components of government expenditures (expenditures on health, education, and other government spending) on GDP growth in Saudi Arabia from 1985 to 2018. We observe the long-run positive relationship between GDP, investment, exports and government education expenditure, but a negative relationship between GDP, imports, government health spending, and government other expenditures. The analysis reveals that investment, exports, and government educational expenditures all have long-run positive effects on the GDP growth, while imports, government health expenditures, and government other expenditures negatively affect GDP growth in Saudi Arabia. The Toda-Yamamoto causality test that applies the Modified Wald test establishes causality from exports, government education spending, and government health spending to GDP. We deduce that education expenditures stimulate economic growth in Saudi Arabia in contrast to health expenditures. Additionally, we infer that the various categories of government expenditures have varying effects on GDP. This necessitates a prudent sectoral allocation of public expenditures to maximize its positive effects on GDP growth and stimulate economic growth in Saudi Arabia. Moreover, the above findings have policy implications for the government in Saudi Arabia while allocating its expenditures. Allocating more government expenditures to education, cutting down inessential spending, and downsizing government healthcare expenditures will enhance long-run economic growth in Saudi Arabia. JEL Classification: O470; I15; I25