Study on the Spatial Correlation Characteristics of Residential Land Prices in Counties of the Urban Agglomeration in the Middle Reaches of the Yangtze River and Their Influencing Factors

Abstract

The role of residential land price in regulating local economic development and optimizing urban land spatial layout is becoming more and more prominent. This paper takes the residential land price of 229 counties (districts, cities) of urban agglomeration in the middle reaches of the Yangtze River in 2017 as the research object, and establishes a theoretical model of the influencing factors of county residential land price based on equilibrium price and regional economic theory; and uses methods of spatial autocorrelation analysis and spatial lag model to explore the spatial distribution characteristics and influencing factors of residential land price in the research area and the influencing factors. The research results indicate that: (1) There are significant overall differences in residential land price among different counties within the urban agglomeration in the middle reaches of the Yangtze River, and the overall distribution of residential land price shows a "pyramid" pattern from low to high. (2) The spatial distribution pattern of residential land price in counties within urban agglomerations is greatly influenced by the location conditions and the administrative level of higher-level cities. The residential land price shows an inverted "U" distribution in the east-west direction, with the eastern part being higher than the western part as a whole; There is a gradual downward trend from north to south in the north-south direction. (3) The Global Moran’s I of residential land prices in the research area is 0. 603, with a significant spatial positive correlation and agglomeration phenomenon. and the obvious local spatial agglomeration characteristics. (4) There is a significant positive spillover effect between county-level residential land price in the urban agglomeration of the middle reaches of the Yangtze River. The residential land price in the study area is strongly influenced by both land supply and demand factors, policy systems, and government regulatory capabilities. The relevant conclusions can provide reference for urban agglomeration to optimize urban resource allocation through land price regulation, narrow regional development gaps, and promote the integrated development of the region.