Abstract: Taking Wuhan Urban Agglomeration as an example, this paper analyzed the influence of interregional flow of factors on regional land green production efficiency. The spatial network of multi-factor flow, economic and population factor flows in Wuhan Urban Agglomeration was constructed by taking counties as units. The multi-factor flow characteristics among counties were summarized. The land green production efficiency of each county was measured, and the spatial error model was used to verify the influence of factor flow on the land green production efficiency. On this basis, the geographical weighted regression model was further used to analyze the spatial differentiation of this influence. The results were as follows: (1) the factor flow network of Wuhan Urban Agglomeration presented a typical “core-edge” feature in general. A relatively clustered and independently developed subgroup area of Tianmen-Xiantao-Qianjiang had been initially formed. (2) The flow production space was still in its initial stage, which was in good agreements with the traditional field space. The flow of factors still depended on geographical distances. (3) The spatial pattern of land green production efficiency level in Wuhan Urban Agglomeration was not completely consistent with the centrality pattern of factor flow network, which indicated that the influence of factor flow on land green production efficiency was different for different regions. (4) The degree of information centrality had significant positive effects on land green production efficiency, the degree of economic centrality had negative effects on land green production efficiency, while the effects of population centrality were not obvious. (5) The GWR model verified the regional deviations of the influence of multiple factor flow on the green production efficiency. The following conclusions were reached: (1) Continue to improve the construction of information highway to promote the factor flow in a larger range of space. (2) Under the background of accelerating factor flow, regional differentiated green development countermeasures should be determined according to local conditions. The southern hilly areas which are rich in natural resources should be focusing on the urgent improvement of the level of science and technology and management to cope with the accelerating economic flow. (3) Improving regional information development level is the most effective means to improve land green production efficiency at present, and the overall informatization level of urban circle should be improved as soon as possible. In terms of population flow, the flow of innovative and high-quality talents should be paid attention.