A Study of the Spatial Structure and Regional Interaction of Agricultural Green Total Factor Productivity in China Based on SNA and VAR Methods

As regional interaction increases in an open economy, a region’s green total factor productivity agriculture must be considered alongside relationships with other regions. In this study, the slack-based model (SBM) global Malmquist–Luenberger (GML) index is used to measure of each province China, and social network analysis (SNA) vector autoregressive (VAR) impulse response function (IRF) are examine spatial structure interactivity. The research confirms that absolute value concentration agricultural generally higher south than north but peak lower north. density China from 2008 2019 shows increase, cut-off values mean, 10, 50, 100 treated as 4.97%, 2.57%, 3.30%, 2.43%, respectively. From 2019, central potentials entry exit China’s show “V”-shaped inverted evolution path, respectively, cohesive subgroups growing, which demonstrates Chinese has experienced evolutionary path polycentric monocentric conditions. different intensifying certain degree self-stability. terms interaction, siphon effect east on development western regions significant, trickle-down not obvious, between catalytic efficiency economy both It recommended targeted policies introduced support flow factors industrial division labour north, taking into account actual situation. novelty paper it focuses combines innovative use paradigm analyse country dynamic perspective. A limitation methodology its poor applicability closed analysis.