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

المؤلف

Cheng, Jing

المصدر

Mathematical Problems in Engineering

العدد

المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2020-04-25

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

هندسة مدنية

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1202159