Abstract: This paper aims to reveal the spatial distribution and influencing factors of various land price such as industrial, commercial and residential land, etc. in Yangtze River Delta Agglomeration. Both spatial auto-correlation model and geographically weighted regression model were used to enrich and develop the theoretical study on spatial distribution of land price in urban agglomeration. The results showed that industrial land prices were generally lower, commercial and residential land prices were higher. It was in accord with the laws of urban land differential benefit, whereas it appeared the phenomenon of inversion between commercial and residential land price. The industrial land prices descended from the southeast of Zhejiang Province to the north of Jiangsu Province, and it showed a significant spatial agglomeration with low values. There is a strong spatial correlation in the residential land prices differences. The first and second tier cities showed high-value clustering, whereas commercial land prices showed a weak spatial correlation. The impact of disposable personal income and public finance expenditure on the industrial land price showed significant spatial differences, the spatial difference of influencing factors, including urban grade, GDP and disposable personal income on residential land price was obvious, and the commercial land price was mainly affected by total social consumer goods, number of buses per million and public finance expenditure.