Data Analysis of the Factors Influencing the Industrial Land Leasing in Shanghai Based on Mathematical Models
Author
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-25
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
By analyzing the background of land leasing in Shanghai, the hypotheses of the mathematical models of industrial land leasing in Shanghai are proposed, and then, the mathematical models of the land price and land area are presented for analyzing the factors of industrial land leasing.
Based on the mathematical models and the district data of Shanghai from 2007 to 2015, the factors influencing industrial land leasing by the district government are studied.
It is shown that the influencing factors, such as the land area, GDP, tenure of district mayor, and the distance between the land and the nearest subway station, affect the government behavior on industrial land leasing.
American Psychological Association (APA)
Cheng, Jing. 2020. Data Analysis of the Factors Influencing the Industrial Land Leasing in Shanghai Based on Mathematical Models. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202159
Modern Language Association (MLA)
Cheng, Jing. Data Analysis of the Factors Influencing the Industrial Land Leasing in Shanghai Based on Mathematical Models. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1202159
American Medical Association (AMA)
Cheng, Jing. Data Analysis of the Factors Influencing the Industrial Land Leasing in Shanghai Based on Mathematical Models. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202159
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202159