Special Issue | Education as a factor of regional, economic, and social development: The Data Envelopment Analysis approach


Education as a factor of regional, economic, and social development: The Data Envelopment Analysis approach


Economic, regional, and social development are issues of importance today. More people think that economic growth is not enough to generate considerable progress. Therefore, education plays a fundamental role as a dynamic tool for development processes. However, investment in education for development is a long-term strategy, so it is essential to develop objective methodologies for estimating the impact of education on development processes.

Currently, the risks of recession in the world economy generate restrictions on countries’ budgets for social spending. Therefore, the efficiency of social expenditures comes to the forefront of decision-makers (Harymawan et al., 2022), generating the need for objective tools to estimate the performance of public policies in regional, economic, and social contexts of development. There are previous studies on which to base the subject in the literature. For instance, Visbal-Cadavid, Martínez-Gómez and Guijarro (2017) developed an objective methodology to estimate the productivity of public universities based on their economic resources. The work of Aparicio, Perelman and Santín (2020) gives a comparative view of the gaps in education in Latin American countries using Data Envelopment Analysis.

The Data Envelopment Analysis (DEA) was developed by Charnes, Cooper and Rhodes (1978) to measure the efficiency and productivity of Decision-making Units (DMUs). The DEA has been successfully applied in various areas, such as Dlouhý (2021) measured regional inequalities and substitutability of health resources in the Czech Republic, Flegl et al. (2022) observed the production and investment efficiency in the Mexican food industry, Jablonsky (2018) assessed countries’ performance at the 2016 Summer Olympic Games with respect to the resources each country can spend, and Vikas and Bansal (2019) evaluated the efficiency of 22 Indian oil and gas companies, among others.

In education, the DEA is usually applied to evaluate the production efficiency at universities (De La Hoz et al., 2021; Halásková, Mikušová Meričková and Halásková, 2022). However, the analysis has not been widely used to demonstrate the impact of the education on the regional, economic and/or social development. For such analysis, it is necessary to go beyond the traditional one-stage DEA models and apply advanced models, such as two-stage models, using panel data or decomposing the efficiency using Malmquist index, among others.



The objective of the special issue is to analyze the role of education as the factor influencing regional, economic and/or social development through the application of the Data Envelopment Analysis.



We request that the authors submit their proposed title and extended abstracts between 1000 and 1500 words, using the form in this link. The extended abstract should describe the analyzed problem, clearly describe theoretical and empirical gaps to be addressed, briefly describe the used methodology (data and model), the expected contribution(s) to the theory or practice and the references.


Guest editors:

  • Enrique José de la Hoz Domínguez, Industrial Engineering Department, Technological University of Bolivar, Colombia
  • Tomás José Fontalvo Herrera, Departamento de Organización Industrial, Universidad de Cartagena, Colombia


Important dates

  • 1st call for papers: September 1, 2022
  • Extended abstract submission deadline: January 31, 2023
  • Notification of the extended abstract acceptance: February 1, 2023
  • Full manuscript submission deadline: May 1, 2023
  • Full manuscript acceptance deadline: November 1, 2023


Publication: Vol. 16, No. 4 (December 2023), or Vol. 17, No. 1 (March 2024)


For your inquiries, please contact: editor@eriesjournal.com or edelahoz@utb.edu.co



Aparicio, J., Perelman, S. and Santín, D. (2020) ‘Comparing the evolution of productivity and performance gaps in education systems through DEA: an application to Latin American countries’, Operational Research, Vol. 22, pp. 1443-1477. https://doi.org/10.1007/s12351-020-00578-2

De La Hoz, E., Zuluaga, R. and Mendoza, A. (2021) ‘Assessing and Classification of Academic Efficiency in Engineering Teaching Programs’, Journal on Efficiency and Responsibility in Education and Science, Vol. 14, No. 1, pp. 41-52. https://dx.doi.org/10.7160/eriesj.2021.140104

Flegl, M., Jiménez Bandala, C.A., Sánchez-Juárez, I. and Matus, E. (2022) ‘Analysis of production and investment efficiency in the Mexican food industry: Application of two-stage DEA’, Czech Journal of Food Sciences, Vol. 40, No. 2, pp. 109-117. https://doi.org/10.17221/172/2021-CJFS

Halásková, R., Mikušová Meričková, B. and Halásková, M. (2022) ‘Efficiency of Public and Private Service Delivery: The Case of Secondary Education’, Journal on Efficiency and Responsibility in Education and Science, Vol. 15, No. 1, pp. 33–46 https://doi.org/10.7160/eriesj.2022.150104

Harymawan, I., Nasih, M., Agustia, D., Putra, F. K. G. and Djajadikerta, H. G. (2022) ‘Investment efficiency and environmental, social, and governance reporting: Perspective from corporate integration management’, Corporate Social Responsibility and Environmental Management: in press. https://doi.org/10.1002/csr.2263

Jablonsky, J. (2018) ‘Ranking of countries in sporting events using two-stage data envelopment analysis models: a case of Summer Olympic Games 2016’, Central European Journal of Operations Research, Vol. 26, pp. 951–966. https://dx.doi.org/10.1007/s10100-018-0537-8

Vikas, V. and Bansal, R. (2019) ‘Efficiency evaluation of Indian oil and gas sector: data envelopment analysis’, International Journal of Emerging Markets, Vol. 14, No. 2, pp. 362-378. https://dx.doi.org/10.1108/IJoEM-01-2018-0016

Visbal-Cadavid, D., Martínez-Gómez, M. and Guijarro, F. (2017) ‘Assessing the efficiency of public universities through DEA. A case study’, Sustainability, Vol. 9, No. 8, pp. 1416. https://doi.org/10.3390/su9081416