Efficiency and quality in Colombian education: An application of the metafrontier Malmquist-Luenberger productivity index

Arbona, Alexei; Giménez, Víctor; López-Estrada, Sebastian; Prior, Diego

doi:10.1016/j.seps.2021.101122

Cited by 18 publications

(9 citation statements)

References 59 publications

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“…Jouvet P believed that the resource efficiency, utilization of renewable energy, and resource cost are important changes from theory to practice of green growth [19]. Satbyul Estella Kim chose indicators, such as the proportion of greenhouse gas emissions in GDP, the proportion of the tertiary industry in GDP, energy consumption per unit GDP, and the proportion of renewable energy, to measure green growth [20]. Although experts and scholars have different research priorities, they have a consensus on green growth: it is a restrained and inclusive economic growth, emphasizing the maximum use of resources and the minimum cost of the environment [21].…”

Section: Green Growth Theorymentioning

confidence: 99%

Green Growth or Gray Growth: Measuring Green Growth Efficiency of the Manufacturing Industry in China

2022

Systems

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The manufacturing industry has created a rapid evolution of the economy, but it has also negatively impacted the ecosystem. A better understanding of the manufacturing industry in green growth is crucial to achieving the sustainability goals in China’s high-quality development stage and is better for identifying the impact of scale effect or technological effect in EKC. In this research, a super-efficiency slacks-based measure model is proposed to evaluate the green growth efficiency of 27 manufacturing industries, and a Luenberger index method is adopted to interpret the driving forces of efficiency. The results demonstrate that green growth efficiency in the manufacturing industry shows a fluctuating upward trend, and more than 60% of the industries are in a gray growth state. The growth of green growth efficiency mainly depends on the pulling effect of technological dividends brought by technological progress, rather than the improvement of technical efficiency. As the industry heterogeneity is analyzed, technology-intensive industries still dominate in the process of manufacturing industry and have shown a significant upward trend. Finally, some suggestions are proposed from the perspective of the government and enterprises.

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Section: Green Growth Theorymentioning

confidence: 99%

Green Growth or Gray Growth: Measuring Green Growth Efficiency of the Manufacturing Industry in China

2022

Systems

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“…In addition to proficiency, the literature that evaluates school results also analyzes variables such as inequity or inequality, once great inequalities and financing funds unequally affect educational results (Arbona, Giménez, López‐Estrada, & Prior, 2022). In Brazil, many studies highlight that there is proficiency inequality between school types (public and private) and racial groups (Becker & Arends‐Kuenning, 2019; Gamboa & Waltenberg, 2012; Oliveira, Belluzzo, & Pazello, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Arbona et al (2022) analyzed the productivity of schools in the Colombian education system by using the Metafrontier Malmquist–Luenberger index. They incorporated the inequality problem into the input–output logic, considering that as a bad output.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Haelermans and Ruggiero (2017) analyzed information from Dutch schools and observed that the costs of achieving the minimum performance standard are very different depending on the risk factors associated with the school environment. Arbona et al (2022) analyzed the productivity of schools in the Colombian education system by using the Metafrontier Malmquist-Luenberger index. They incorporated the inequality problem into the input-output logic, considering that as a bad output.…”

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confidence: 99%

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An analysis of Fundeb's contribution to the quality of public education in Brazilian municipalities

Becker

2022

Review Development Economics

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This study analyzed the effect of the Fund for the Maintenance and Development of Basic Education and for the Appreciation of Education Professionals (Fundeb) on the National System of Basic Education Assessment (Saeb) results of Brazilian municipalities by estimating a spatial panel model with information from 2007 and 2017, which include the 10 years of the fund's implementation. The results indicated that the 10% increase in the Fundeb amount per student received by the municipality raised the Saeb score by approximately one point. Furthermore, the increase in the fund's value in neighboring municipalities contributed to increasing the municipality's Saeb score by approximately three points. These results are evidence in favor of the hypothesis that Fundeb has encouraged the management and adoption of good practices in municipal education, which influence the decisions and behavior of the neighboring municipalities' managers to also improve their practices and results.

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“…On the other hand, southern and northern European countries can acquire the operational strategies of the educational sector to enhance their efficiency in educational resource utilization. Numerous research studies endorsed that technological development is a key factor in education resources utilization efficiency across the globe[77,78].Moreover, Italy (1.1857), Lithuania (1.0786), and Serbia (1.0746) were found to have higher average MI scores over the study period…”

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confidence: 91%

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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Efficiency and quality in Colombian education: An application of the metafrontier Malmquist-Luenberger productivity index

Cited by 18 publications

References 59 publications

Green Growth or Gray Growth: Measuring Green Growth Efficiency of the Manufacturing Industry in China

Green Growth or Gray Growth: Measuring Green Growth Efficiency of the Manufacturing Industry in China

An analysis of Fundeb's contribution to the quality of public education in Brazilian municipalities

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

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