Open AccessSpatiotemporal analysis of global food system robustness
Author(s) -
Shuai Wang,
Wingting Su,
Ke Dai
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/792/1/012024
Subject(s) - robustness (evolution) , food security , profitability index , sustainability , geospatial analysis , computer science , environmental economics , operations research , business , geography , economics , agriculture , mathematics , cartography , ecology , biochemistry , chemistry , archaeology , finance , biology , gene
In the context of the rapid development of the world economy, world food security is still not guaranteed as it should be. Thus, a more rational model is urgently in need. We think that a robust food system should have better efficiency, profitability, sustainability, and fairness, so we selected 18 three-tier indicators and four secondary indicators closely related to the impact factors. Then, we use AHP and correlation analysis to put forward the FSRI model, which has the function of describing the composition of food system and evaluating the robustness of food system. We use spatial auto-correlation analysis to compare the differences in values, geospatial distribution, etc. of the food system before and after optimization. Then, through Grey-Verhulst M model, it is predicted that by 2027, FSRI will grow by 44.56 percent, and optimized systems will be implemented to help achieve the United Nations Millennium Goal of eliminating hungry people by 2030.