关键词: 土地出让, 住宅用地, 数学模型, 价格, 影响因素

Abstract: At present, the house prices in China are rising, and land leasing is the main factor influencing house prices. Through the interviews with the officials of the departments of planning and land authority of some districts in Shanghai, this paper proposes the basic hypotheses for the mathematical model of residential land leasing, and presents the mathematical model of residential land leasing for non-center districts in Shanghai. Based on the data of residential land leasing, gross domestic product (GDP), tenure of district mayor, subway stations, highways, key high schools, parks and industrial parks of non-center districts in Shanghai from 2004 to 2015, the location of each piece of residential land and the distances of each piece of residential land to the city center, the district center, the nearest subway station, the nearest entrance or exit of highway, the nearest university, the nearest key high school, the nearest park and the nearest industrial park obtained using ArcGIS, the influencing factors of residential land leasing by the district government of non-center districts in Shanghai are analyzed, and how these factors affect residential land prices and decisions on residential land leasing made by the district government is analyzed. It is shown that the factors, such as the residential land area, floor area ratio, modes of leasing, whether the residential land used for resettlement houses, the distances between the residential land and the city center, the district center, the nearest subway, the nearest university, the nearest park and the nearest industrial park, affect the decisions on residential land leasing made by the district government and residential land prices.

Key words: land leasing, residential land use, mathematical model, price, influencing factor