产业集聚对畜牧业绿色全要素生产率的影响及其空间溢出效应分析OACHSSCD

Under the background of the"dual carbon"strategy,promoting the green transformation of animal husbandry is crucial for sustainable agricultural development.Using panel data from the animal husbandry sector across 30 provinces(autonomous regions and municipalities)in China from 2005 to 2023,this study employs a super-efficiency SBM model combined with the GML index to measure the green total factor productivity(GTFP)of animal husbandry.Furthermore,a spatial Durbin model is constructed to systematically analyze the direct effects,indirect effects,and regional heterogeneity of industrial agglomeration.The results indicate that:1)China's GTFP of animal husbandry generally exhibits a fluctuating upward trend with significant regional disparities:it is the highest in the eastern region,followed by the central region,and the lowest in the western region.2)A significant inverted"U"-shaped relationship exists between industrial agglomeration and GTFP,suggesting that moderate agglomeration promotes efficiency while excessive agglomeration inhibits growth.3)Industrial agglomeration generates significant spatial spillover effects on neighboring regions,which also follow an inverted"U"-shaped pattern.Notably,the inflection point of the indirect effect is lower than that of the direct effect,implying that neighboring regions are negatively impacted by increasing agglomeration sooner than the local region.4)Regional heterogeneity analysis reveals that regarding direct effects,the eastern,central,and western regions all demonstrate an inverted"U"-shaped relationship,with the inflection points appearing sequentially later from east to west.Regarding indirect effects,the eastern and central regions exhibit an inverted"U"-shape,whereas the western region shows a"U"-shape,reflecting regional differentiation in spatial spillover directions.This study contributes by revealing the nonlinear impact of industrial agglomeration on green efficiency of animal husbandry and clarifying regional spatial differences,thereby providing references for optimizing regional agglomeration patterns and advancing green coordinated development.