Abstract:Previous research has studied the relationship between higher education and economic growth, but the results are mixed. This paper analysed higher educational investment and economic growth theoretically and studied the long‐term dynamic relationship between them by using Johansen test, Granger causality test, impulse response function, variance decomposition and other empirical methods based on vector autoregressive model. The result indicates a long‐term stable equilibrium relationship among higher education… Show more
“…The estimated results also suggest a noteworthy and affirmative correlation between LGHEs and economic progress, as the long-term effects were greater than the short-term ones, which reinforces previous research indicating that augmenting investments in local general higher education positively influences economic growth [ 18 , 61 ]. However, our estimates are larger than those of previous studies [ 60 , 62 ]. One explanation is that the results may be underestimated when no spatial effect is considered.…”
Section: Conclusion and Discussioncontrasting
confidence: 91%
“…larger than those of previous studies [60,62]. One explanation is that the results may be underestimated when no spatial effect is considered.…”
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.
“…The estimated results also suggest a noteworthy and affirmative correlation between LGHEs and economic progress, as the long-term effects were greater than the short-term ones, which reinforces previous research indicating that augmenting investments in local general higher education positively influences economic growth [ 18 , 61 ]. However, our estimates are larger than those of previous studies [ 60 , 62 ]. One explanation is that the results may be underestimated when no spatial effect is considered.…”
Section: Conclusion and Discussioncontrasting
confidence: 91%
“…larger than those of previous studies [60,62]. One explanation is that the results may be underestimated when no spatial effect is considered.…”
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.
“…Lin () found that spending for higher education significantly and positively influenced Taiwan's economic growth both in terms of industrial and agricultural output. In a study of China, Yu et al () Granger analysed public expenditures for both higher education and human capital development vis‐à‐vis economic growth and found a long‐term stable equilibrium relationship between them, specifically one in which both the expenditures and human capital investment had a significant positive Granger‐causal impact on economic growth. Also in China, Huang et al’s () Granger tests of enrolments in higher education and economic growth from 1972–2007 found bidirectional causality and led them to conclude that while expansion of higher education will promote growth up to a point, it should not be invested in blindly because thereinafter it may lead to decreases in the efficiency of resource investment, diminishing marginal utility and eventually to negative value.…”
Abstract. Increases in regional spending for higher education are conventionally believed to cause increases in economic performance. However, while some empirical evidence directly or indirectly confirms this belief, some research also brings it into question and even contradicts it. This research uses panel Granger causal models to consider not only the conventional belief but also the opposite possibility -that increases in economic performance cause increases in US state spending for higher education. It examines state spending for higher education in relation to educational attainment, per capita income and gross domestic product within the fifty states of the United States for the period 1989-2014. The results show that while increases in the share of a state's population with a bachelor degree Granger causes improved economic performance, in the short term of four years or less the direction of causality goes in the opposite direction from the one conventionally believed. Implications of this reverse causality are discussed from the policy perspective.
JEL classification: O
“…This special issue of Systems Research and Behavioral Science presents 11 articles reflecting the above‐mentioned three elements (Jin et al , ; Tan et al , ; Jiang et al , ; Pan et al , ; Wang et al , ; Yu et al , ; Qi et al , ; Li et al , ; Shan et al , , ; Yu et al , ). These papers show the evidence that it is desirable to apply systems approach or methodologies to many different fields (Yu et al , ; Wan and Jones, ; Zhao et al , ).…”
Section: Introduction: Systems Science Methods In Industrial Sectormentioning
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