Spatial-temporal evolution and influencing factors analysis of mortgage assessed price of land use rights in Kunming

Mortgage data for 2014 to 2016 in Kunming were collected in this study, spatial distribution of land assessed price was produced by Kriging and influencing factors were also analyzed. The spatial distribution shows that assessed price of four type mortgage land is gradually decreasing from city center to city periphery and is controlled by supply price and distance from downtown. Economic and policy factors also affect the assessed price of land for different uses or different regions. Keywords—Kunming, Land mortgage market, Land assessment price The land mortgage market is part of the secondary market of land and plays a positive role in promoting the optimal allocation of land resources, saving intensive use, and accelerating industrialization and urbanization. Assessed price not only reflects the regional changes in land value appreciation and the focus of transactions, but also reflects the direction of economic development to some extent. This paper analyzes the temporal and spatial evolutionary characteristics of the evaluation price of land mortgage market in Kunming, finds out the influencing factors of price evaluation, provides a reference for the pricing of land mortgage market in Kunming and for formulating trading rules for the secondary market of land to promote the transaction of land mortgage market in Kunming. Current research on land market price mainly includes: land supply price mechanism (Li, 2006); relationship between land price and economy (Cen, 2013) and research on land mortgage market focuses on: land mortgage assessment issues, risks, etc. (Yan,2007); Land mortgage market price research defines the connotation (Zhu and Ji, 2002). This paper analyzes the temporal and spatial evolutionary characteristics of the evaluation price of land mortgage market in Kunming, finds out the influencing factors of price evaluation, provides a reference for the pricing of land mortgage market in Kunming and for formulating trading rules for the secondary market of land to promote the transaction of land mortgage market in Kunming. I. SPATIAL-TEMPORAL DISTRIBUTION MODELING OF LAND MORTGAGE ASSESSED PRICE The study area covers Kunming, Yunnan Province in southwest China, which includes Wuhua district, Panlong district, Guandu district, Xishan district and Chenggong district (Figure 1). Construction land, especially concentrated area of mortgage land is main sampling area. There 1064 land mortgage assessed data for 2014 to 2016 were collected. In this study, geostatistical technique is used to simulate spatial-temporal distribution changes on assessed prices of different uses of land mortgage. Geostatistics has been successfully applied in many fields to predict values or categories of target-regionalized variables at unsampled points, using irregularly distributed, discrete sample data. This approach is based on the principle that nearby data tend to be more related to each other than those far apart (e.g., Desbarats and Bachu 1994; Yu et al. 2003; Liu and Koike 2007; Iskandar et al. 2012; Rühaak 2015). Figure 2 shows preliminary data analysis of commercial, Figure 1 Five districts of Kunming Figure 2 Lognormal distribution of commercial land price and vriogram Fifth International Conference on Public Management (ICPM 2018) Copyright © 2018, the Authors. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). Advances in Economics, Business and Management Research, volume 63