Is Hierarchical Education Investment Synergistic? Evidence from China’s Investment in General and Advanced Education

Li, Zhao; Chu, Yujing

doi:10.1007/s13132-022-00960-9

Cited by 12 publications

(8 citation statements)

References 36 publications

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“…Within China, a recent study that used panel data for the 1997-2020 period, analyzed the impact of investments on economic growth for different levels of education and concluded that investment in general education had a negative effect on economic growth, while investment in advanced education could lead to economic growth [25].…”

Section: Literature Reviewmentioning

confidence: 99%

Evolution of Interdependencies between Education and the Labor Market in the View of Sustainable Development and Investment in the Educational System

et al. 2023

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Education represents the basic pillar of preparing individuals for integration into the labor market, but also is a crucial component of ensuring sustainable development. The purpose of this research was to identify the type of influences existing between education and the labor market in EU member countries in the context of different levels of investment in the educational system. Cluster analysis and the ordinary least squared method were used to identify the type of influences between the indicators characterizing the level of education and the labor market between 2000 and 2021. The empirical results showed that there was a significant negative correlation of the educational dropout rate with the level of employee compensation, number of hours worked by each employee, and their labor productivity, in the countries with the poorest level of educational investment. In the countries with significant investments in education, getting a graduate diploma and participating in vocational training programs led to a better compensation of employees and a higher employee productivity while the financial aid given by the state for pupils and students reduced the number of worked hours, brought down unemployment amongst people with primary and secondary education and, last but not least, increased the employment rate for higher education graduates. An average level of educational investment led to negative influences between early-stages and employees’ payment level and real labor productivity, while becoming involved in educational activities and participating in vocational training programs increased their rates of remuneration and real productivity. A significant impact of higher education graduates on both increasing unemployment rates and falling employment rates was noticed as has been identified in other studies.

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Section: Literature Reviewmentioning

confidence: 99%

Evolution of Interdependencies between Education and the Labor Market in the View of Sustainable Development and Investment in the Educational System

et al. 2023

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“…In China, higher education expenditures have been found to be the driving force behind China’s economic growth [ 29 , 30 ]. Moreover, higher education input is an important source and driving force of technological innovation that will further promote economic growth, although there is a certain lag [ 31 ].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial spillover of local general higher education expenditures on sustainable regional economic growth: A spatial econometric analysis

Ma,

Wu,

2023

PLoS ONE

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The ability of fair investments in local general higher education to drive sustainable regional economic growth is explored. Based on spatial theory, the exploratory spatial data analysis method is used to examine the spatial characteristics of local general higher education expenditures in China’s 30 provinces from 2000 to 2021. The spatial Durbin model is employed to analyze the impact of education expenditures on regional economic growth. The results reveal that education expenditures had positive spatial autocorrelation. Education expenditures promoted regional economic growth, and the long-term effect was greater than the short-term effect. These expenditures also had a positive spillover effect, showing that strategic spatial interactions between provinces positively influence growth. The positive spillover effects nationwide and in the eastern region were significantly greater than the direct effect, whereas the spillover effects in both the middle and western regions were negative.

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“…They also highlight that universities play a key role in university-industry-government interactions (Cai et al, 2020;Etzkowitz, 2003;Heaton et al, 2019;Li and Fang, 2019). The traditional analysis of the role of universities uses the TH model, which emphasizes the third role of universities as having a synergistic effect (Cai and Liu , 2015;Zhang and Ding, 2014;Heaton et al, 2019;Li and Chu, 2022). Developing countries achieve rapid development with the support of the local political economy, while universities increasingly become the source of regional economic development (Etzkowitz, 2003).…”

Section: Evaluation Of China's Ai Policiesmentioning

confidence: 99%

Dynamic capabilities perspective on innovation ecosystem of China’s universities in the age of artificial intelligence: Policy-based analysis

Kim

2022

J Infrastruct Policy Dev

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Universities play a key role in university-industry-government interactions and are important in innovation ecosystem studies. Universities are also expected to engage with industries and governments and contribute to economic development. In the age of artificial intelligence (AI), governments have introduced relevant policies regarding the AI-enabled innovation ecosystem in universities. Previous studies have not focused on the provision of a dynamic capabilities perspective on such an ecosystem based on policy analysis. This research work takes China as a case and provides a framework of AI-enabled dynamic capabilities to guide how universities should manage this based on China’s AI policy analysis. Drawing on two main concepts, which are the innovation ecosystem and dynamic capabilities, we analyzed the importance of the AI-enabled innovation ecosystem in universities with governance regulations, shedding light on the theoretical framework that is simultaneously analytical and normative, practical, and policy-relevant. We conducted a text analysis of policy instruments to illustrate the specificities of the AI innovation ecosystem in China’s universities. This allowed us to address the complexity of emerging environments of innovation and draw meaningful conclusions. The results show the broad adoption of AI in a favorable context, where talents and governance are boosting the advance of such an ecosystem in China’s universities.

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Is Hierarchical Education Investment Synergistic? Evidence from China’s Investment in General and Advanced Education

Cited by 12 publications

References 36 publications

Evolution of Interdependencies between Education and the Labor Market in the View of Sustainable Development and Investment in the Educational System

Evolution of Interdependencies between Education and the Labor Market in the View of Sustainable Development and Investment in the Educational System

Spatial spillover of local general higher education expenditures on sustainable regional economic growth: A spatial econometric analysis

Dynamic capabilities perspective on innovation ecosystem of China’s universities in the age of artificial intelligence: Policy-based analysis

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