UNCOVERING MULTIDIMENSIONAL DRIVERS OF GLOBAL FOOD EXPORTS: A NONLINEAR CAUSAL ANALYSIS USING CONVERGENT CROSS MAPPING
Sicheng Wang·S Wang·Chengyi Tu·Ying Fan·Ying Fan·Tao Chen·Zhou Zhou·Haitao Zhang·HangJie Zhang·Shuhao Chen
Amid escalating global food security challenges, global food trade has become increasingly pivotal in securing national food supplies and stabilizing nutritional availability. However, the identification of food export drivers remains hindered by fragmented indicator systems and the limitations of linear causality methods in capturing complex, nonlinear dynamics. In this study, we construct a comprehensive, multidimensional indicator framework encompassing economic, agricultural, and environment