Data Analysis of the Factors Influencing the Industrial Land Leasing in Shanghai Based on Mathematical Models

Author

Cheng, Jing

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

Civil Engineering

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