Effects of Educational Efficiency on National Competitiveness Based on Cross-National Data

Liu, Fangtao; Xu, Huaimin

doi:10.3390/educsci7040081

Cited by 6 publications

(8 citation statements)

References 38 publications

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“…None of the macroeconomic variable had a significant impact on the competitiveness of the region. This result is similar to the findings of Liu and Xu (2017) whose estimation results for weak and very weak competitive economies showed that none of the macroeconomic variables significantly impacts their competitiveness. However, the overall significance of the model was confirmed by the F-value of 46.33707, which explained 97.66% of the variations of the competitiveness of countries in the region.…”

Section: South Africasupporting

confidence: 90%

“…The Growth rate of the real GDP was found to have an insignificant negative impact on the competitiveness of African economies, which is opposite the results of Rosu and Roman (2018) of a significant positive impact of GDP growth rate on the competitiveness for the transition and innovative-driven CEE economies. This result also conflicts the findings of Liu and Xu (2017) of a significant positive impact of GDP per capita on the competiveness of 53 countries. The result might not be unconnected with the quality of growth we have in Africa, which is mostly not shared among the population.…”

Section: The All Africa Modelcontrasting

confidence: 82%

“…economies, the growth rate of the GDP was shown to have a significant positive impact on competiveness by all three models. Liu and Xu (2017) examined the national competitiveness implications of educational efficiency using a sample of 53 developed and developing countries for the period 2000 2014. For 6 different models, competitiveness rankings from the World Competitiveness Yearbook (WCY) was regressed on educational efficiency, GDP per capita, energy intensity, high-tech exports, employment and population market size.…”

Section: Empirical Reviewmentioning

confidence: 99%

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Intra-African Trade, Macroeconomic Conditions and Competitiveness in Africa

Osuji

2020

Studies in Business and Economics

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More than ever before, trade and regional integration have become two important arguments in the development equation of most modern states and, probably, explains the current rise in regional integration around the world. However, regional integration will not produce optimal benefits in the absence of favourable macroeconomic conditions and substantial internal trade among the integrating members. This paper employs descriptive statistics and econometric techniques to analyze the competitiveness of the continent by studying the impact of relevant intra-African trade indices on the competitiveness of Africa, based on a panel dataset spanning 2000 to 2016. The results show considerable variations in both inter- and intra-regional trade performance and competitiveness among African regional groupings and nations. Intra-African trade, especially in exports, over the study period, was consistently low. While the South Africa region had the highest intra-regional trade in imports, East Africa region had the highest level of inter-regional imports. West Africa, with Nigeria’s dominance, had the highest level of intra-regional exports, while South Africa had the highest inter-regional exports at country level. For the Regional Economic Communities (RECs), SADC reported the highest intra-African import trades, while SACU reported the highest inter-regional imports. SADC has the highest intra-African exports, while COMESA has the highest inter-regional exports. African Competitiveness Index (ACI) ranking puts the East Africa Region on top, and South Africa as the most competitive African economy. Using panel data covering 2012 to 2016 for 20 African economies, ACI was regressed on a 7-variable model, including intra-regional imports and exports, inflation rate, nominal exchange rate, gross capital formation, and the growth rate of GDP. The results were mixed but plausible. All the variables were correctly signed and significant in different regions, reflecting the huge structural and policy disparities among the regions. Continued transformation of African economies with emphasis on both physical and financial infrastructure, and human capital development will enhance intra-African trade and regional competitiveness.

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Section: South Africasupporting

confidence: 90%

Section: The All Africa Modelcontrasting

confidence: 82%

Section: Empirical Reviewmentioning

confidence: 99%

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Intra-African Trade, Macroeconomic Conditions and Competitiveness in Africa

Osuji

2020

Studies in Business and Economics

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“…The study underscores the varying impact of education on competitiveness based on a country's development stage and location. It suggests that governments should align growth priorities with their developmental stage and regional context while considering competitiveness [38]. Veremchuk et al [39] assessed ten educational libraries and found that users have varied objectives, with students seeking textbooks and interaction, while scholars prioritize reference, research, and electronic resources.…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of educational resource utilization efficiency, regional technological heterogeneity, and total factor productivity change in 35 European countries

Liao,

Hao,

Yasmeen

et al. 2024

PLoS ONE

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Educational resource utilization efficiency (ERUE) and productivity growth are considered current global challenges that the modern world faces. This study evaluates the educational resource utilization efficiency, dynamic productivity change, and regional discrepancies in technologies involved in educational resource utilization in 35 European countries and four regions. DEA Super SBM, Meta frontier analysis, and Malmquist productivity index are employed to gauge the ERUE, technology gap ratio (TGR), and total factor education resources productivity change. A set of inputs and outputs is used from 35 European countries for the study period of 1998–2021. Results revealed that the average ERUE in European countries is 0.6312, Which indicates a 36.88% improvement potential in educational resource utilization. Southern Europe continuously exhibits superior average ERUE scores (0.6871) compared to other regions, indicating a higher efficiency in using educational resources. Luxembourg (1.0813), Czechia (0.9356), and Slovenia (0.8984) are found to be the top three performers in terms of ERUE level. The technology gap ratio value is highest in Southern Europe. It demonstrates that southern European countries used the most advanced technology in education resource utilization. The average Malmquist Index (MI) in European countries is 1.0349. It Indicates a 3.49% growth in educational resource utilization. Technology is the primary determinant of productivity growth, as Technological change is higher than efficiency change. Southern European countries showed the highest MI of 1.0542. Italy, Lithuania, and Serbia were found to have higher average MI scores over the study period (1998–2021). Finally, the Kruskal Wallis test proved that ERUE and TGR in 4 different regions of Europe are heterogeneous. In contrast, the MI in European regions isn’t found to be significantly different.

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“…In [7], healthy adults carrying a 12 kg backpack for a short time experienced a significant reduction in the upper extremity perception and in all the macrovascular and microvascular hemodynamic parameters. The need to improve education efficacy for a better society has been previously emphasized [8], and reducing the physical stress arising from the daily transport of heavy backpacks can provide a considerable contribution.…”

Section: Introductionmentioning

confidence: 99%

Comparison between the Physiological Responses and Subjective Ratings of a Group of Male Students to Three Backpack Designs

Ramadan

Al-Tayyar

2019

IJERPH

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It is important for schoolchildren and their parents (or guardians) to know which backpacks exert the least strain on the cardiorespiratory system. In this study, we investigated the physiological responses of participants while they were walking on a treadmill and wearing one of three different backpacks (A, B, and C) under two different load-carrying conditions (equivalent to 10% and 15% of their body mass, respectively). The first condition was used as a control and involved walking without a backpack, while the second involved wearing a backpack and carrying a certain weight. Thirty-one male students from King Saud University walked on a treadmill at 0.861 m/s and at a 0% inclination angle, while having their heart rates (beatsmin−1), oxygen uptakes (VO2, mLmin−1), respiratory rates (breaths, VO2min−1), perceived exertion rates (PER, Borg scale), and backpack preference rates (BPR) measured and recorded. The results of our within-subject experimental design revealed that the physiological results varied significantly depending on the type of backpack. Backpacks B and C were superior to Backpack A, resulting in lower physiological responses and higher subjective preferences. Students carrying more weight experienced higher physiological stress; moreover, the use of Backpack C led to the lowest physiological strains and higher subjective preferences.

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Effects of Educational Efficiency on National Competitiveness Based on Cross-National Data

Cited by 6 publications

References 38 publications

Intra-African Trade, Macroeconomic Conditions and Competitiveness in Africa

Intra-African Trade, Macroeconomic Conditions and Competitiveness in Africa

Evaluation of educational resource utilization efficiency, regional technological heterogeneity, and total factor productivity change in 35 European countries

Comparison between the Physiological Responses and Subjective Ratings of a Group of Male Students to Three Backpack Designs

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