On the potential balance among compulsory education outcomes through econometric and multiobjective programming analysis

Luque, Mariano; Gutiérrez, Óscar David Marcenaro; López-Agudo, Luis Alejandro

doi:10.1016/j.ejor.2014.09.007

Cited by 7 publications

(8 citation statements)

References 25 publications

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“…(2010) and Luque et al. (2015) use a similar procedure, involving econometric analysis and reference point methods, to evaluate workers’ satisfaction and students’ achievement, respectively. Nevertheless, to the best of our knowledge, we are the first to apply this combination of econometric and GP techniques, together with the use of scenarios and under a robust environment.…”

Section: Introductionmentioning

confidence: 99%

Goal programming to evaluate the profile of the most profitable insurers: an application to the Spanish insurance industry

González‐Fernández

Rubio‐Misas

Ruiz

2020

Int Trans Operational Res

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This paper applies a multiobjective goal programming (GP) model to define the profile of the most profitable insurers by focusing on 14 firm‐decision variables and considering different scenarios resulting from the exogenous change in interest rate and GDP per capita growth variables. We consider a detailed database of Spanish non‐life insurers over the period 2003–2012 taking into account two dimensions of insurers’ results: underwriting results and investment results. A prior econometric analysis is used to find out relevant relations among the variables. Next, a GP model is formulated on the basis of the relationships obtained. The model is tested in a robust environment, allowing changes in the coefficients of the objective functions, and for several scenarios regarding crisis/noncrisis situations and changes in interest rates. We find that having the stock organizational form, being an unaffiliated single company and maintaining low levels of investment risk, leverage, and regulatory solvency are recommended for result optimization. Growth and reinsurance utilization are not advisable for optimizing the results, whereas size should be positively emphasized even more in instability periods and when interest rates increase. The results also show that the optimal level of the diversification/specialization strategy depends on economic conditions. More specialization is advisable as negative changes in interest rates increase. However, we find that the optimal values of the diversification variable are higher for the crisis scenarios compared to the corresponding noncrisis scenarios, suggesting that diversification creates value in crisis. Further sensitivity analyses show the soundness of the conclusions obtained.

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Section: Introductionmentioning

confidence: 99%

Goal programming to evaluate the profile of the most profitable insurers: an application to the Spanish insurance industry

González‐Fernández

Rubio‐Misas

Ruiz

2020

Int Trans Operational Res

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“…To alleviate these drawbacks, a methodological approach to generate possibly efficient solutions was proposed in [37]. Based on the use of an achievement scalarizing function [38], this approach combines the ideas of interval multiobjective programming suggested in [30] with a reference point-based approach [39]. This section of the paper represents a continuation of the work in [37].…”

Section: Interval Multiobjective Linear Programming: a Novel Approach To Obtain Possibly Efficient Solutionsmentioning

confidence: 99%

Analysis of the Well-Being Levels of Students in Spain and Finland through Interval Multiobjective Linear Programming

2021

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To study the reasons of the low academic performance of students in Spain, authorities must consider emotional dimensions, such as well-being, which directly affect their learning achievement. Furthermore, it would be interesting to compare Spanish students with students from Finland, which stand out in international rankings. We analyze how to promote students’ well-being in Spain as a mechanism to enhance their academic achievement. Using data from PISA 2018, four indicators are used to measure well-being according to variables describing the students’ context. By means of econometric techniques, interval multiobjective linear programming problems are formulated for Spain and Finland and solved through a new methodological scheme proposed in this paper, assuring the generation of possibly and necessarily efficient solutions in interval multiobjective linear programming. The purpose is to determine which aspects would allow the best possible well-being to be reached. We found several differences between the students achieving optimal compromise levels in each country, and we analyzed how the improvement of one indicator might affect the remaining aspects of well-being. Spanish students can further enhance their well-being compared to Finnish students. Furthermore, the lowest improvement rate is associated with the bullying index, especially in Finland, highlighting the need to promote anti-bullying measures.

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“…For example, the PISA survey, which is taken among students in 60 countries coordinated by the Organization for Economic Cooperation and Development (OECD, 2010), is intended to measure the outcome of compulsory education. Other leading standardized scores include school examination results (Conti-Ramsden et al, 2009), the development of personal and social skills in the UK (Authority, 1996), the WA curriculum in the Australian compulsory education sector (Berlach & McNaught, 2007), teacher-based scores in Europe (Luque et al, 2015) and the academic scores of the students and the rankings of the schools, both of which highlight the urban-rural gap (Zhao, 2009) in China.…”

Section: Theoretical Hypothesesmentioning

confidence: 99%

The Association of NPOs and Compulsory Education Aid in China

Weng

2018

Chinese Public Administration Review

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Previous research has linked the activities of the non-profit sector to desired aid outcomes in China, such as improved public-service quality. However, issues related to the role of non-profit organizations (NPOs) in compulsory-education aid have received little attention. This study draws on Dennis Young’s complementarity theory – one of the most prominent non-profit theories – in examining the necessity and feasibility of NPO aid to Chinese compulsory education. In addition, it undertakes exploratory research in order to test an integrated model. Based on both data collected in surveys or interviews and statistical data from 263 Chinese county-level jurisdictions in five provinces (including 1 autonomous regions and 2 provincial-level municipalities), this study concludes that NPO aid can positively influence compulsory-education outcomes in mainland China. Its main contribution is to expand our understanding of NPOs and offer insights on how public managers can improve governance.

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On the potential balance among compulsory education outcomes through econometric and multiobjective programming analysis

Cited by 7 publications

References 25 publications

Goal programming to evaluate the profile of the most profitable insurers: an application to the Spanish insurance industry

Goal programming to evaluate the profile of the most profitable insurers: an application to the Spanish insurance industry

Analysis of the Well-Being Levels of Students in Spain and Finland through Interval Multiobjective Linear Programming

The Association of NPOs and Compulsory Education Aid in China

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