1.Tilman, D, Yang, Y, Chen, Yet al. (2014) Global diets link environmental sustainability and human health. Nature 515, 518–522.
2.Green, R, Milner, J, Dangour, ADet al. (2015) The potential to reduce greenhouse gas emissions in the UK through healthy and realistic dietary change. Clim Change 129, 253–265.
3.Springmann, M, Godfray, HCJ, Rayner, Met al. (2016) Analysis and valuation of the health and climate change co-benefits of dietary change. Proc Natl Acad Sci 113, 4146–4151.
4.Buttriss, JL, Briend, A, Darmon, Net al. (2014) Diet modelling: how it can inform the development of dietary recommendations and public health policy. Nutr Bull 39, 115–125.
5.Gerdessen, JM & de Vries, JHM (2015) Diet models with linear goal programming: impact of achievement functions. Eur J Clin Nutr 69, 1272–1278.
6.Ribal, J, Fenollosa, ML, Garca-Segovia, Pet al. (2016) Designing healthy, climate friendly and affordable school lunches. Int J Life Cycle Assess 21, 631–645.
7.Gazan, R, Brouzes, CMC, Vieux, Fet al. (2018) Mathematical optimization to explore tomorrow’s sustainable diets: a narrative review. Adv Nutr 9, 602–616.
8.Maillot, M, Vieux, F, Amiot, MJet al. (2010) Individual diet modeling translates nutrient recommendations into realistic and individual specific food choices. Am J Clin Nutr 91, 421–430.
9.Mertens, E, van’t Veer, P, Hiddink, GJet al. (2017) Operationalising the health aspects of sustainable diets: a review. Public Health Nutr 20, 739–757.
10.Cooper, WW, Seiford, LM & Kaoru, T (2007) Data Envelopment Analysis. New York: Springer.
11.Zhou, H, Yang, Y, Chen, Yet al. (2018) Data envelopment analysis application in sustainability: the origins, development and future directions. Eur J Oper Res 264, 1–16.
12.Barr, RS, Seiford, LM & Siems, TF (1993) An envelopment-analysis approach to measuring the managerial efficiency of banks. Ann Oper Res 45, 1–19.
13.Liu, JS, Lu, LYY, Lu, WMet al. (2013) A survey of DEA applications. Omega 41, 893–902.
14.Thanassoulis, E, Kortelainen, M, Johnes, Get al. (2011) Costs and efficiency of higher education institutions in England: a DEA analysis. J Oper Res Soc 62, 1282–1297.
15.Chilingerian, JA & David Sherman, H (1996) Benchmarking physician practice patterns with DEA: a multi-stage approach for cost containment. Ann Oper Res 67, 83–116.
16.Brouwer-Brolsma, EM, van Lee, L, Streppel, MTet al. (2018) Nutrition Questionnaires plus (NQplus) study, a prospective study on dietary determinants and cardiometabolic health in Dutch adults. BMJ Open 8, e020228.
17.Drewnowski, A (2009) Defining nutrient density: development and validation of the nutrient rich foods index. J Am Coll Nutr 28, 421S–426S.
18.Fulgoni, VL, Keast, DR & Drewnowski, A (2009) Development and validation of the nutrient-rich foods index: a tool to measure nutritional quality of foods. J Nutr 139, 1549–1554.
22.Mertens, E, Kuijsten, A, Dofkova, Met al. (2019) Geographic and socioeconomic diversity of food and nutrient intakes: a comparison of four European countries. Eur J Nutr 58, 1475–1493.
24.Dyson, RG & Shale, EA (2010) Data envelopment analysis, operational research and uncertainty. J Oper Res Soc 61, 25–34.
25.Sarkis, J (2007) Preparing your Data for DEA. Boston, MA: Springer US.
26.Cook, WD & Seiford, LM (2009) Data envelopment analysis (DEA), thirty years on. Eur J Oper Res 192, 1–17.
27.Chen, Y, Cook, WD, Du, Jet al. (2017) Bounded and discrete data and Likert scales in data envelopment analysis: application to regional energy efficiency in China. Ann Oper Res 255, 347–366.