Abstract: At present, the spatial correlation of land elements to China′s economic growth shows more nonlinear spatial network structure. Based on the provincial land output elastic data in 30 provinces and cities in 2005, 2010 and 2015, the paper uses the social network analysis(SNA) to analyze the network characteristics and space effect of the land output elasticity, and carries out comparative analysis of the economic spatial status of different provinces in China. The results show that in the whole, the spatial correlation of land input is gradually increasing, the network level is improving, and the regional economic equilibrium is increasing in some regions; the high centrality mainly focuses on the eastern region and some central provinces, and has a strong spatial spillover effect on other provinces; the overall network structure and individual network structure have a significant impact on the contribution rate of land elements, and contribute to balanced regional development. Therefore, the formulation of land policy must clearly recognize the spatial network relations and network characteristics of land input in China, attach great importance to the spatial relation of land elements among different regions, and improve the income of land differential and land through the flow of industrial transfer, capital and technology, and promote the flow and spatial optimization of various social and economic resources among different regions, to comprehensively enhance the elasticity and contribution rate of land output.

Key words: land element elasticity, spatial network correlation features;Social Network Analysis(SNA);provincial differences