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Under the new policy framework, the China Government will substantially increase education resources investment. As a result, financial under‐provision of schools will not be the main problem in the near future. However, school efficiency will emerge as the new factor in attracting the attention of the government and the public in China, which is also one of the important fields of Education Economics research.

The authors use Data Envelopment Analysis (DEA) to evaluate a sample of 58 primary schools in six districts in Beijing, hoping to find the solutions to school efficiency improvement as a result of under‐adequate investment.

In the years to come, the central government of China will continue to enhance transferring payment from the exchequer. The education input will be assured accordingly. However, if schools run under low efficiency, the education resources will not be well used and sustainability of elementary education will not be assured.

In light of the research purpose and the limited data, there has been no in‐depth discussion of the impact of, for example, families' social status, district development disparity, social cultural influence and history context. Obviously, considering more factors which may affect school efficiency will help to find the best solution for the public education sector of government.

While there has been increasing interest in the impact of courtmandated education finance reform on school district efficiency, research on the subject is scant. Taking advantage of New Jersey Supreme Court cases that have altered the way in which state school aid is distributed, this paper examines the effect of changes in the education finance system on school district efficiency. Building on existing literature on public sector efficiency, a longitudinal data analysis based on two-stage DEA models reveals that courtmandated increases in state aid to a limited number of poor school districts decreased the districts' efficiency. Though these results should be interpreted with some caution, in particular, the limitation of DEA as an efficiency measure, they imply that, as with any policy, policy makers and courts should be aware of how policy changes affect local government behavior and that it is necessary to evaluate policy outcome taking into account both resources and performance.

This study extends the educational institutions' performance and efficiency literature by examining Brazil's Federal Institute of Education, Science and Technology (FIEST), which consists of educational units throughout the country that span several levels of education.

The authors build and analyze a covariance matrix consisting of both a group of efficiency measures and a group of performance indicators used by Brazil's Ministry of Education (BME). The values in the covariance matrix are maximized through application of the Technique for Order of Preference by Similarity to the Ideal Solution (TOPSIS), in which the weights of each variable are optimized in order to capture the direction of the relationship between the two sets of efficiency measures.

Although the authors find that the collective efficiency of the educational units analyzed did not change during the period of study, the analysis reveals that government indicators of performance do not exhibit a strong relationship to the ideal solution efficiency measures used in this study.

This study extends the educational institution efficiency literature by examining Brazil's FIEST, which consists of 40 educational units throughout the country that spans several levels of education, from upper high school vocational courses to higher degrees.

Are education and efficiency antithetical? Does the pursuit of efficiency in education inevitably lead to misguided practices and measurement attempts that distort the character and purposes of education? Despite legitimate fears about misguided efforts at efficiency, history shows that efficiency and enlightened educational leadership can be combined beneficially. Indeed, if we want to use educational resources as wisely and effectively as possible, to benefit as many students as possible, we must evaluate the efficiency of alternative policies and practices. This article explores the issues involved, and steps required, for a balanced and appropriate pursuit of efficiency that preserves educational values and avoids the dangers of the “cult of efficiency.”

In this study, the authors explore the association between employee education level and the efficiency of corporate investment using data from a sample of Chinese listed firms during the period from 2011 to 2018. By examining the impact of education on investment efficiency, the authors' study provides valuable insights that contribute to a deeper understanding of the underlying economic mechanisms related to education.

The authors conduct multivariate regression analyses to examine the relationship between investment efficiency (following Richardson, 2006) and the level of employee education, along with a series of control variables. To ensure the reliability of the authors' findings, the authors subject the their results to a comprehensive set of robustness tests, such as a staggered difference-in-difference (DiD) regression approach, an instrumental variable (IV) method and the use of alternative employee education level and investment efficiency measurements.

The findings offer compelling evidence that higher levels of education have a positive impact on firms' investment efficiency, and this effect remains robust across various model specifications and endogeneity considerations. Moreover, the influence of education is more pronounced in firms that prioritize employee training, maintain effective internal communication and offer attractive financial rewards. Furthermore, the results suggest that the relationship between education and investment efficiency is influenced by the firms' business nature and competitive environment. Factors such as business complexity, labor intensity and business location also play a role in shaping the impact of education on investment outcomes.

The study emphasizes the crucial role of education in influencing investment decisions and performance within firms. By delving into this previously unexplored area, the authors' research contributes to the existing literature, establishing that the level of employee education is a significant determinant of corporate investment efficiency. This valuable insight has substantial implications for firms aiming to enhance their investment decision-making processes and overall performance. Understanding the positive impact of education on investment efficiency can empower organizations to leverage their human capital effectively and achieve better investment outcomes, ultimately contributing to long-term success and competitiveness in the market.

The purpose of this paper was to evaluate the efficiency of secondary education schools in Chile. Since the early 1980s, several educational reforms have been passed with the main objective of improving the quality, equity and efficiency of the Chilean education system. This has initiated a debate about the efficient use of public educational resources. In response, this study provides insights into identifying the most efficient types of schools based on a set of different inputs and outputs.

This quantitative research study used data envelopment analysis (DEA), which estimates a single index of efficiency to identify schools performing at superior levels compared to other schools with similar characteristics. Two sets of models are created for evaluating efficiency. The first set of analyses provides a longitudinal efficiency comparison based on student performance on two national standardized tests as outputs, and the second model incorporates socioeconomic characteristics of students attending different schools as inputs in the efficiency estimation.

Based on the longitudinal models, it was found that private schools are more efficient and more consistent in maintaining their efficiency over time than other types of schools. In addition, when accounting for socioeconomic factors, publicly subsidized schools were more efficient than public schools.

The Chilean parliament is currently discussing new educational reforms that focus on more efficient use of educational resources to improve educational quality and equity. The results provided in this study generate useful evidence for policymakers and other stakeholders regarding school efficiency and the appropriate allocation of public resources to support diverse students served by different types of secondary educational institutions.

Education is a key factor affecting social mobility and socioeconomic improvement of societies. Schools are called upon to improve their performance to promote these social goals. Accordingly, more novel forms of research on efficiency are necessary to assess how well schools are transforming their inputs into performance outputs.

This study provides a longitudinal analysis of educational efficiency using DEA with a national data set of Chilean schools to evaluate how consistent the schools are in maintaining their levels of efficiency over time. In addition, one DEA model accounts for a social “vulnerability” index at the student level to better understand how efficiently secondary schools use their resources. The insights gained provide data-driven answers to support more informed educational decision-making and policy processes in Chile.

The purpose of this paper is to assess the research efficiency of the Chilean higher education institutions (HEIs). As it has been argued in the literature, universities in Chile are far from being considered research-oriented institutions. Current governmental reforms have put pressures on the efficient use of public resources, especially, public expenditures in higher education. In response, the proposed data-driven approach can be used to inform educational managers and policy makers about research efficiency. Therefore, a better allocation of the scarce educational resources can be achieved.

Data envelopment analysis is used to assess the research efficiency of a set of Chilean universities. Four models are proposed based on different parameters to cover various drivers of the research productivity.

The paper provides evidence that only a few universities in Chile are efficient in regards to research. Moreover, interesting results in terms of the differences in efficiency between traditional universities and private universities were found. Universities with a mixed-funding structure (private traditional) are more efficient than both public and purely private universities. Additionally, universities that receive direct funds from the government are on average 3.3 times more efficient than private universities. According to the models, only one private university appeared at the top 10 based on the research efficiency ranking.

Current pressures in the funding structures of the higher education system have led to an increased awareness in the utilization of resources. The results provided in this study are useful for guiding a better allocation of public resources and providing insights about efficient funding structures.

An understanding of the current status of research efficiency and the identification of the best performers allows educational managers to improve their resource allocation processes.

As state funding for public higher education has declined, there is a rising demand for accountability. Past studies have relied on indicator ratios to look at the relationship between funding and performance measures. This approach has some inherent problems that make it difficult to identify inefficiencies. This chapter will study efficiency in state systems of higher education by applying data envelopment analysis (DEA). DEA methodology converts multiple variables into a single comprehensive measure of performance efficiency and has the ability to perform benchmarking for the purpose of establishing performance goals. The advantages of DEA modeling will be shown by comparing results with those from a recent study of higher education finance based on publicly available data. DEA is shown to be feasible and implementable for studying state systems of higher education, and provides useful information in identifying “best practice” state systems and guidance for improvement. The value of DEA modeling to state policy makers and education researchers is discussed.

The purpose of this paper is to enhance the understanding of the long-debated impact of board busyness within a new framework of firm efficiency in the selected developed and developing Asia–Pacific countries, by assessing the moderation of directors' education towards the relationship between board busyness and firm efficiency. The extant literature on board busyness demonstrates to a lack of clarification of the relationship between board busyness and firm efficiency.

The sample for this paper comprises a panel data of 800 firms in a cross-country context of the selected developed and developing Asia–Pacific countries during the recent period of 2009–2015. This paper performs a non-parametric Data Envelopment Analysis to measure firm efficiency and panel regression analysis to examine the moderation of directors' education.

This paper provides support for the busyness hypothesis by documenting that the busy boards are likely to reduce firm efficiency. Moreover, this paper renders support to the upper-echelons theory by demonstrating that the impact of board busyness on firm efficiency is likely to turn positive in the presence of directors' education.

This paper highlights practical implication for managers especially in the Asia–Pacific region who seek to enhance firm efficiency, which is essential for firms in attaining the primary goal of profit maximization.

This paper builds on the extant literature by providing a contemporary research path regarding the moderation of directors' education to explain the long-debated impact of board busyness within a new framework of firm efficiency, based on a recent and significant sample of Asia–Pacific countries.

The purpose of this paper is to measure the financial efficiency and productivity of 23 public universities founded in 1992 in Turkey over the period between 2004 and 2013. The results obtained will provide managerial information and act as a guide to public universities’ administrations, in using their resources more effectively.

Data envelopment analysis is applied to assess the relative financial efficiency of these universities, while Malmquist total factor productivity index is used to measure the total factor productivity change concerning financial inputs of the universities.

The number of financially efficient universities and the number of universities showing an increase in their productivity according to their financial inputs change annually and both of them display a rough trend over the years. A decrease of about 5 percent in the financial productivity of the universities is observed which stems from a technological recession. Therefore, public universities in Turkey are not able to develop effective policies to diversify, increase and use their financial resources.

When the lack of studies within the literature measuring the financial efficiency of higher education institutions is taken into account, this study can fill a gap in this area. The analyses conducted here distinguish from existing studies on this subject with regards to the extent and diversity of financial data set and the measurement of both efficiency and productivity change of universities considering financial inputs concurrently.