RETRACTED: A Dynamic Analysis of the Asymmetric Effects of the Vocational Education and Training on Economic Growth, Evidence From China

Xia, Lin; Ali, Arshad; Wang, Haotian; Wu, Xun; Qian, Dake

doi:10.3389/fpsyg.2022.888969

Cited by 8 publications

(5 citation statements)

References 36 publications

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“…Stationarity checks are not mandatory for applying NARDL models, as suggested by previous studies ( Abbasi et al, 2022 ; Amin et al, 2022 ). However, as highlighted by some studies, this model is not suitable for second-order integrals because the results of the bound F statistic become invalid in the case of I (2; Alqahtani et al, 2020 ; Syed, 2021a , b ; Syed et al, 2021b , 2022 ; Bertsatos et al, 2022 ; Xia et al, 2022 ). Hence, this study used three different unit root tests, the DF-GLS test proposed by Elliot et al (1996) , Augmented Dickey Fuller (ADF) Dickey and Fuller (1981) , and Phillips and Perron (PP) Phillips and Perron (1988) to test variable integrals.…”

Section: Analysis Results and Interpretationmentioning

confidence: 99%

“…The appropriate method used in this study to analyze short- and long-term asymmetric relationships between variables is nonlinear autoregressive distributed lag (NARDL). The NARDL model introduced by Shin et al (2014) works best when the variable integration order is in the level or first order and no variables belong to the second order integration ( Gaies et al, 2021 ; Ghosh and Parab, 2021 ; Xia et al, 2022 ). Moreover, bound testing approach employed later in the study as it provides the best results with small sample sizes ( Granger and Yoon, 2002 ; Narayan, 2005 ).…”

Section: Methodsmentioning

confidence: 99%

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RETRACTED: An empirical analysis of the impact of gender inequality and sex ratios at birth on China’s economic growth

Wu¹,

Ali

Zhang

et al. 2022

Front. Psychol.

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The contribution of women to China’s economic growth and development cannot be overemphasized. Women play important social, economic, and productive roles in any economy. China remains one of the countries in the world with severe gender inequality and sex ratio at birth (SRB) imbalance. Severe gender inequality and disenfranchisement of girls with abnormally high sex ratios at birth reflect deep-rooted sexism and adversely affect girls’ development. For China to achieve economic growth, women should not be ignored and marginalized so that they can contribute to the country’s growth, but the sex ratio at birth needs to be lowered because only women can contribute to growth. Thus, this study empirically predicts an asymmetric relationship between gender inequality, sex ratio at birth and economic growth, using NARDL model over the period 1980–2020. The NARDL results show that increases in gender inequality and sex ratio at birth significantly reduce economic growth in both the short and long term, while reductions in gender inequality and sex ratio at birth significantly boost economic growth in both the short and long term. Moreover, the results show the significant contribution of female labor force participation and female education (secondary and higher education) to economic growth. However, infant mortality rate significantly reduced economic growth. Strategically, the study recommends equal opportunities for women in employment, education, health, economics, and politics to reduce gender disparities and thereby promote sustainable economic growth in China. Moreover, policymakers should introduce new population policy to stabilize the sex ratio at birth, thereby promoting China’s long-term economic growth.

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Section: Analysis Results and Interpretationmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

RETRACTED: An empirical analysis of the impact of gender inequality and sex ratios at birth on China’s economic growth

Wu¹,

Ali

Zhang

et al. 2022

Front. Psychol.

Self Cite

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“…An important moderating factor in the effects of high technology sectors on economic growth is higher vocational education. For a prosperous economic transition, the report recommends promoting higher vocational education and the equal development of high-tech industries [20].…”

Section: Higher Vocational Education and Its Rolementioning

confidence: 99%

Data-Driven Analysis of Teaching Quality Impact on Graduate Employment in Higher Vocational Colleges of Hefei

2024

J. Appl. Data Sci.

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The objectives were to identify the influence of teaching quality in higher vocational colleges on the employment quality of graduates, and to develop instructional design through both theoretical and empirical analysis, to synthesize the relationships among teaching quality, human capital, and employment quality. In collaboration with 17 experts, they were selected through purposive sampling and involving 100 instructors within higher vocational colleges in China. The instruments using the Delphi Technique through a round questionnaire of vocational colleges' teaching quality positively influenced both graduates' human capital and employment quality. The findings revealed that vocational colleges' teaching quality positively influenced both graduates' human capital and employment quality. Vocational education has a favorable effect on employment quality, with human capital playing a crucial role in enhancing teaching quality. This paper distributed 600 questionnaires in total and collected 527 valid questionnaires, with an effective recovery rate of 87.83%. Data processing and analysis were carried out on the valid questionnaires. However, the relationship between teaching quality and employment quality is mediated by professional cognition and growth ability. These results offer important insights for vocational colleges, pointing to the crucial significance of human capital and educational quality in improving employment quality. In higher vocational colleges, the study investigates the connection between human capital, employment quality, and instructional quality. The teaching quality positively affects graduates' human capital and employment quality, according to data from Hefei grads. The link between teaching and learning is moderated by human capital. The research uses AMOS software to analyze vocational teaching variables, revealing a direct effect of higher colleges' teaching quality on graduates' employment quality and human capital. The significance level of these effects is .001, indicating a strong capacity for explanatory reasoning.

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“…The pivotal role of education in promoting economic growth is substantiated by a nonlinear autoregressive distributed lag model, revealing the significant contribution of secondary vocational education and training to long-term economic growth. This data-driven insight emphasizes the importance of fostering economic transition prosperity through the encouragement of higher vocational education, particularly in the context of high-tech industries [4].…”

Section: Introductionmentioning

confidence: 96%

A Comprehensive Data-Driven Analysis of Talent Supply using Delphi Method in Higher Vocational Education and Ethnic Minority Regions

2024

J. Appl. Data Sci.

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This study delves into the principles of structural reforms on the supply side of talent in higher vocational education, specifically focusing on the context of Guangxi, China, and extending its applicability to diverse ethnic regions. Embracing a data science approach, the research aims to develop a model grounded in theoretical foundations and policy considerations, offering insights to enhance the higher vocational education system and facilitate a high-quality talent supply. The research sample comprises 28 experts who contributed 182 perspectives on the constituent elements of higher vocational education reform in ethnic minority areas. Leveraging the Delphi method, the study employs qualitative evaluation methods through anonymous questionnaire surveys to ensure reliable feedback. A comprehensive survey includes 391 participants representing various stakeholders, such as the education department, teachers, industry experts, and students. Utilizing mathematical statistics and SPSS AU22.0 for data analysis, the study confirms that adaptation indicators meet established standards, aligning the theoretical model with measured data. Descriptive analysis and correlation testing of model variables reveal moderate to high average values, indicating a significant positive correlation between the scales. The study explores the layout of universities, major settings, curriculum systems, and talent cultivation as independent variables, with a focus on their influence on vocational talent cultivation. Additionally, it covers the demand side of talents, incorporating perspectives from the government, society, students, and parents. The analysis assesses the satisfaction of the supply side of higher vocational education, exploring specific manifestations of the contradiction between talent supply and demand. Through attribution analysis, the study concludes by proposing considerations for the supply-side structural reform of higher vocational education talents in Guangxi and similar ethnic regions. This research, rooted in data science methodologies, provides valuable insights for educational policymakers and practitioners. It sets the stage for further exploration into the dynamic interplay between data-driven decision-making and structural reforms in the higher vocational education landscape.

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RETRACTED: A Dynamic Analysis of the Asymmetric Effects of the Vocational Education and Training on Economic Growth, Evidence From China

Cited by 8 publications

References 36 publications

RETRACTED: An empirical analysis of the impact of gender inequality and sex ratios at birth on China’s economic growth

RETRACTED: An empirical analysis of the impact of gender inequality and sex ratios at birth on China’s economic growth

Data-Driven Analysis of Teaching Quality Impact on Graduate Employment in Higher Vocational Colleges of Hefei

A Comprehensive Data-Driven Analysis of Talent Supply using Delphi Method in Higher Vocational Education and Ethnic Minority Regions

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