Atici K.B., Podinovski V.V. (2015): Using data envelopment analysis for the assessment of technical efficiency of units with different specialisations: An application to agriculture. Omega, 54: 72–83. https://doi.org/10.1016/j.omega.2015.01.015 Ayvar Campos F.J., Navarro Chávez J.C.L., Zamora Torres A.I. (2018): The Mexican agricultural sector in the context of APEC: A data envelopment analysis with presence of 'bad outputs' (El sector agropecuario Mexicano en APEC: Un análisis a través de la envolvente de datos con presencia de bad outputs). Análisis Económico, 33: 125–143. (in Spanish) https://doi.org/10.24275/uam/azc/dcsh/ae/2018v33n83/Ayvar Bagchi M., Rahman S., Shunbo Y. (2019): Growth in agricultural productivity and its components in Bangladeshi regions (1987–2009): An application of bootstrapped data envelopment analysis (DEA). Economies, 7: 37. https://doi.org/10.3390/economies7020037 Becerril-Torres O.U., Rodríguez Licea G., Ramírez Hernández J.J. (2011): Technical efficiency of the agricultural sector in Mexico: An overview of data envelopment analysis (Eficiencia técnica del sector agropecuario de México: Una perspectiva de análisis envolvente de datos). Economía, 31: 85–110. (in Spanish) Carbajal Suárez Y., de Jesús Almonte L. (2017): Manufacturing labor in the Central Region of Mexico. An estimation by great division. Contaduria y Administracion, 62: 902–923. https://doi.org/10.1016/j.cya.2017.05.004 Charnes A., Cooper W., Rhodes E. (1978): Measuring the efficiency of decision making units. European Journal of Operational Research, 2: 429–44. https://doi.org/10.1016/0377-2217(78)90138-8 Cooper W., Seiford L., Zhu J. (2011): Handbook on Data Envelopment Analysis. New York, US, Springer: 1–40. Dios-Palomares R., Martínez-Paz J. (2011): Technical, quality and environmental efficiency of the olive oil industry. Food Policy, 36: 526–534. https://doi.org/10.1016/j.foodpol.2011.04.001 Duman G.M., Tozanli O., Kongar E., Gupta S.M. (2017): A holistic approach for performance evaluation using quantitative and qualitative data: A food industry case study. Expert Systems with Applications, 81: 410–422. https://doi.org/10.1016/j.eswa.2017.03.070 Hoang V.N., Alauddin M. (2012): Input-orientated data envelopment analysis framework for measuring and decomposing economic, environmental and ecological efficiency: An application to OECD agriculture. Environmental and Resource Economics, 51: 431–452. https://doi.org/10.1007/s10640-011-9506-6 Ibrahim M.D., Ferreira D.C., Daneshvar S., Marques R.C. (2019): Transnational resource generativity: Efficiency analysis and target setting of water, energy, land, and food nexus for OECD countries. Science of the Total Environment, 697: 134017. https://doi.org/10.1016/j.scitotenv.2019.134017 INEGI (2014): Mexico – Economic Censuses 2014 (México – Censos Económicos 2014). National Institute of Statistics and Geography [Instituto Nacional de Estadística y Geografía (INEGI)]. Available at https://www.inegi.org.mx/programas/ce/2014/ (accessed June 1, 2021). (in Spanish) INEGI (2019): Mexico – Economic Censuses 2019 (México – Censos Económicos 2019). National Institute of Statistics and Geography [Instituto Nacional de Estadística y Geografía (INEGI)]. Available at https://www.inegi.org.mx/rnm/index.php/catalog/547 (accessed June 1, 2021). (in Spanish) INEGI (2020): Mexico – System of National Accounts (México – Sistema de Cuentas Nacionales). National Institute of Statistics and Geography [Instituto Nacional de Estadística y Geografía (INEGI)]. Available at https://www.inegi.org.mx/sistemas/bie/ (accessed June 1, 2021). (in Spanish) Isiordia-Lachica P.C., Valenzuela A., Rodríguez-Carvajal R.A., Hernández-Ruiz J., Romero-Hidalgo J.A. (2020): Identification and analysis of technology and knowledge transfer experiences for the agro-food sector in Mexico. Journal of Open Innovation: Technology, Market, and Complexity, 6: 59. https://doi.org/10.3390/joitmc6030059 Jiménez-Bandala C.A. (2018): Development in Southern Mexico: Empirical verification of the 'seven erroneous theses about Latin America'. Latin American Perspectives, 45: 129–141. https://doi.org/10.1177/0094582X17736036 Kao C., Hwang S.N. (2008): Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European Journal of Operational Research, 185: 418–429. https://doi.org/10.1016/j.ejor.2006.11.041 Krejčí I., Moulis P., Pitrová J., Tichá I., Pilař L., Rydval J. (2019): Traps and opportunities of Czech small-scale beef cattle farming. Sustainability, 11: 4245. https://doi.org/10.3390/su11154245 Kuo H.F., Chen H.L., Tsou K.W. (2014): Analysis of farming environmental efficiency using a DEA model with undesirable outputs. APCBEE Procedia, 10: 154–158. https://doi.org/10.1016/j.apcbee.2014.10.034 Marcikić-Horvat A., Radovanov B., Popescu G.H., Panaitescu C. (2019): A two-stage DEA model to evaluate agricultural efficiency in case of Serbian districts. Economics of Agriculture, 66: 965–974. https://doi.org/10.5937/ekoPolj1904965M Mardani M., Salarpour M. (2015): Measuring technical efficiency of potato production in Iran using robust data envelopment analysis. Information Processing in Agriculture, 2: 6–14. https://doi.org/10.1016/j.inpa.2015.01.002 Meena S.R., Meena S.D., Pratap S., Patidar R., Daultani Y. (2019): Strategic analysis of the Indian agri-food supply chain. OPSEARCH, 56: 965–982. https://doi.org/10.1007/s12597-019-00380-5 Moreno-Moreno J., Velasco Morente F., Sanz Díaz M.T. (2018): Assessment of the operational and environmental efficiency of agriculture in Latin America and the Caribbean. Agricultural Economics, 64: 74–88. Raheli H., Rezaei R.M., Jadidi M.R., Mobtaker M.B. (2017): A two-stage DEA model to evaluate sustainability and energy efficiency of tomato production. Information Processing in Agriculture, 4: 342–350. https://doi.org/10.1016/j.inpa.2017.02.004 Raut R.D., Luthra S., Narkhede B.E., Mangla S.K., Gardas B.B., Priyadarshinee P. (2019): Examining the performance oriented indicators for implementing green management practices in the Indian agro sector. Journal of Cleaner Production, 215: 926–943. https://doi.org/10.1016/j.jclepro.2019.01.139 Revilla D., García-Andrés A., Sánchez-Juárez I. (2015): Identification of key productive sectors in the Mexican Economy. Expert Journal of Economics, 3: 22–39. Toma E., Dobre C., Dona I., Cofas E. (2015): DEA applicability in assessment of agriculture efficiency on areas with similar geographically patterns. Agriculture and Agricultural Science Procedia, 6: 704–711. https://doi.org/10.1016/j.aaspro.2015.08.127 Tomšíková K., Hudečková H., Tomšík K. (2019): Enhancing attractiveness of secondary agricultural education in the Czech Republic. Journal on Efficiency and Responsibility in Education and Science, 12: 135–145. https://doi.org/10.7160/eriesj.2019.120404