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This paper aims to identify the current situation of higher education institutions in Spain regarding the introduction of the Sustainable Development Goals in the classroom, and what is the role of mathematics in this task.

A review is made of how the concept of sustainability has evolved in higher education, its gradual introduction in the University and the way in which this subject is approached in the field of mathematics.

The study concludes that higher education has a key role to play in designing strategies that lead to the global sustainability of the planet. This implies major changes in degree curricula, assessment, competences and teacher training. Cross-disciplinarity and interdisciplinarity between different subjects within the same degree is a strategy for students to analyse the Sustainable Development Goals using mathematical techniques.

The University as an institution must train socially responsible professionals who are aware of the importance of promoting a sustainable world. Changes should be made to introduce values in the classroom that promote and encourage sustainability. Training should be seen as a continuous process that leads to the preparation of professionals committed to society and nature and who develop strategies aimed at improving the planet through values.

Through practical activities, the Sustainable Development objectives can be analysed from several subjects of the same degree, emphasising the interdisciplinary and transversal nature that should be the central axis of higher education. Each subject can develop a strategy for change in favour of sustainability that will be reinforced and increased by working together on the proposed teaching practice. In this way, the contents of the different subjects are not isolated, but rather the student can see how there is an interrelationship between them and with real life.

The purpose of this paper is to show evidence of the divergence of welfare outcomes in the European Union (EU) during the economic crisis, which made the European social model fail, and the convergence among European countries halt. This study reviews Sapir’s model for classifying European welfare state systems and adapts it to the new reality, taking into account Europe 2020 targets on poverty reduction and employment growth.

Two variables are used in the application of Sapir’s graphical analysis to European social models: the employment rate as efficiency indicator, and the people At Risk Of Poverty and/or Exclusion rate as equity indicator. Both efficiency and equity are present in Europe 2020 targets. In addition, a cluster analysis is applied.

The division of EU member states into four geopolitical social models has proved to be dynamic, changing in the period under analysis. As a consequence of the economic crisis and the fiscal consolidation, efficiency and equity levels across the EU are polarised between the Mediterranean and the Nordic models.

This paper shows the effects of the economic crisis in the EU, analysing the evolution between 2008 and 2014, and incorporating Eastern Europe new member states into the analysis.

This paper studies social inequality in the vital field of employment in Spain during the crisis period 2009-2014.

Factor analysis is used to build a synthetic index of employment exclusion. The starting information matrix collects data from a wide set of employment variables for all 17 Spanish autonomous communities and the autonomous cities of Ceuta and Melilla. Based on this information, four factors are extracted which explain employment exclusion in different situations of vulnerability, such as unemployment, temporality, poverty or low pay.

In the territorial ranking, Madrid, Basque Country, Aragon and Catalonia show the lowest risk of employment exclusion, whereas Ceuta, Andalusia, Extremadura and Canary Islands show the highest ones.

The main value of this research is that it confirms the need for coordination of public policies in order to foster social and territorial cohesion in Spain.

Regional disparities in social risk levels threaten social cohesion in Spain, which cannot be justified by the territorial differences in social spending per capita. These divergences may encourage and spread nationalist positions and populist discourses. The objective of this paper is to examine the efficiency of social policies (health, education and social protection) aimed at reducing the risk of exclusion across Spanish autonomous communities.

The authors use data envelopment analysis (DEA) to compare each autonomous community. The analysis will determine whether the autonomies' resources (inputs or social spending in this case) are appropriately translated into goods and/or services (outputs or social cohesion), and which regions are more efficient in doing so.

This work contributes to sustaining DEA analysis in the study of social policy efficiency, as it reveals the regions that have better adjustments between social investment and social results from a global perspective, as well as from the different intervention areas. The authors also provide a ranking of regions based on their relative efficiency, estimating a possible margin of improvement in the results.

It is unusual to include the disaggregated analysis of social spending in efficiency studies using DEA at regional level. Therefore, this is an innovative analysis compared to most extended models that are mainly concerned with health or education expenditure, which are also considered in this study.