Analysis of Cultivated Land Area and Urbanization Rate Based on Spatial Coordination

Abstract

The study of the regional effects of urban competitiveness on housing prices and their impact is of great significance to real estate market operations, consumer purchases and government decision-making. This study takes 32 major cities as research samples, draws on the more mature urban competitiveness index system, selects 8 representative factors, collects panel data such as statistical yearbook, and uses principal component analysis regression equation to establish the influence of urban competitiveness on housing price. The model analyzes the extent to which major competitiveness factors affect housing prices. The results show that: 1 The regional GDP and the balance of household savings play a more important role in the change of housing prices. The impact of environmental factors on housing prices is gradually expanding. The impact of urban real estate development investment on housing prices is getting smaller and smaller. The tertiary industry creates comfort for urban life and has a greater impact on housing prices. The total population at the end of the year and the number of students in colleges and universities have a negative impact on housing prices; the total population at the end of the year, the completion of real estate development investment, and the proportion of the tertiary industry have a greater impact on housing prices in the eastern region; Factors such as economic fundamentals have a greater impact.