“…The global vector autoregressive (GVAR) model is employed in this paper. The GVAR model has been widely applied in macroeconomics, including (see Chudik and Pesaran [ 13 ] for comprehensive surveys) studying the factors and shocks affecting global inflation [ 24 ], global imbalance [ 25 , 26 , 27 , 28 ], effects of fiscal and monetary policy [ 29 , 30 , 31 , 32 , 33 , 34 , 35 ], credit supply shock [ 36 , 37 , 38 ], spill-overs in the labor market [ 39 ], financial market [ 40 ], energy market [ 41 ], trade [ 42 ], and different sectors [ 43 , 44 , 45 ], etc. So far, the GVAR model has been applied to agricultural markets in a few empirical studies, including analyzing linkages among food commodity prices, energy prices, and financial sectors in the major wheat export countries by Gutierrez et al [ 46 ], studying short-run food price shock propagation in Sub-Saharan Africa (SSA) by Pierre and Kaminski [ 47 ], and analyzing spatial price transmission of the global butter export market under different market shocks such as exchange rate fluctuation, shocks to fertilizer prices, palm oil price, and crude oil price by Xue et al [ 48 ].…”