1. Alexandratos, N. and J. Bruinsma, World agriculture towards 2030/2050: the 2012 revision. 2012.
2. Boukhelfa, A., The Fight Against Poverty in Algeria and China, in China and the World in a Changing Context: Perspectives from Ambassadors to China. 2022, Springer. p. 109-115.
3. Lakner, C., et al., How much does reducing inequality matter for global poverty? 2022. 20(3): p. 559-585.
4. Jouzdani, J. and K.J.J.o.C.P. Govindan, On the sustainable perishable food supply chain network design: A dairy products case to achieve sustainable development goals. 2021. 278: p. 123060.
5. Yenealem, D.G., et al., Food safety practice and associated factors among meat handlers in Gondar town: a cross-sectional study. 2020. 2020.
6. Paiano, A., T. Crovella, and G.J.T.M. Lagioia, Managing sustainable practices in cruise tourism: The assessment of carbon footprint and waste of water and beverage packaging. 2020. 77: p. 104016.
7. Rana, A.W., et al., Proposed Balochistan agriculture policy 2021. 2021: Intl Food Policy Res Inst.
8. Nicholls, E., et al., The contribution of small-scale food production in urban areas to the sustainable development goals: A review and case study. 2020. 15: p. 1585-1599.
9. Giannetti, B.F., et al., Individual-level characteristics of environmental sustainability among students in a higher education institution: The role of happiness and academic performance. 2021. 22(7): p. 1664-1690.
10. Chai, K.F., et al., Bioactive peptides from food fermentation: A comprehensive review of their sources, bioactivities, applications, and future development. 2020. 19(6): p. 3825-3885.
11. Ahmad, S., K.Y. Wong, and H.J.A.S.L. Elahi, Sustainability assessment and analysis of Malaysian food manufacturing sector—A move towards sustainable development. 2017. 23(9): p. 8942-8946.
12. Bag, S., et al., Effect of eco-innovation on green supply chain management, circular economy capability, and performance of small and medium enterprises. 2022. 141: p. 60-72.
13. Schwartz, P. and D. Randall, An abrupt climate change scenario and its implications for United States national security. Vol. 22. 2003: US Department of Defense Washington^ eDC DC.
14. Kotrlik, J., C.J.I.t. Higgins, learning,, and p. journal, Organizational research: Determining appropriate sample size in survey research appropriate sample size in survey research. 2001. 19(1): p. 43.
15. Bujang, M.A., E.D. Omar, and N.A.J.T.M.j.o.m.s.M. Baharum, A review on sample size determination for Cronbach’s alpha test: a simple guide for researchers. 2018. 25(6): p. 85.
16. Sarker, P., et al., Test–retest reliability of virtual reality devices in quantifying for relative afferent pupillary defect. 2023. 12(6): p. 2-2.
17. Germanotta, M., et al., Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke. 2020. 17: p. 1-10.
18. Blanca, M.J., et al., Skewness and kurtosis in real data samples. 2013.
19. Friedman, L., Z.J.C. Sinuany-Stern, and O. Research, Combining ranking scales and selecting variables in the DEA context: The case of industrial branches. 1998. 25(9): p. 781-791.
20. Podvezko, V.J.J.o.B.E. and management, Application of AHP technique. 2009(2): p. 181-189.
21. Saaty, T.L.J.M.c.d.a.s.o.t.a.s., The analytic hierarchy and analytic network processes for the measurement of intangible criteria and for decision-making. 2016: p. 363-419.
22. Lee, G.K. and E.H.J.S.i.r. Chan, The analytic hierarchy process (AHP) approach for assessment of urban renewal proposals. 2008. 89: p. 155-168