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

Mathematical problems in engineering, 2020-04, Vol.2020, p.1-11 [Peer Reviewed Journal]

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Title:
Data Analysis of the Factors Influencing the Industrial Land Leasing in Shanghai Based on Mathematical Models
Author: Cheng, Jing
Dai, Ying ; Ying Dai
Subjects: Analysis ; Cities ; Commercial leases ; Data analysis ; Economic development ; Employees ; Foreign investment ; GDP ; Gross Domestic Product ; Housing prices ; Hypotheses ; Industrial production ; Industrial space ; Influence ; Land area ; Land use ; Leasing ; Mathematical analysis ; Mathematical models ; Roads & highways ; Site planning ; Subway stations ; Tenure
Is Part Of: Mathematical problems in engineering, 2020-04, Vol.2020, p.1-11
Description: 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.
Publisher: New York: Hindawi
Language: English
Identifier: ISSN: 1024-123X
EISSN: 1563-5147
DOI: 10.1155/2020/9346863
Source: ProQuest Central

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