Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data. (November 2022)
- Record Type:
- Journal Article
- Title:
- Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data. (November 2022)
- Main Title:
- Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data
- Authors:
- Cheng, Jing
- Abstract:
- Abstract: In this paper, by discussing the factors influencing industrial land leasing, the district government behavior for leasing industrial land in Beijing of China is investigated based on the mathematical models of leased industrial land price and total leased area. The factors influencing the district government behavior for leasing industrial land are considered as the variables in the models. From the ordinary least squares method, the regression formulae of the mathematical models are obtained. By collecting the data of the variables of the influencing factors in all districts of Beijing from 2008 to 2015, the numerical results of the coefficients of the influencing factors in the mathematical models are obtained from the regression formulae. After discussing the results, it is shown that the price and the total area of the leased industrial land have relationship with some factors. Finally, the policy implications of local district government behavior are proposed. Highlights: The variables of the attributes of land, district-level and location are selected to present the mathematical models. The mathematical models of leased industrial land price and total leased area are presented. The district-level data of Beijing from 2008 to 2015 are used to obtain the regression results. The results show that the price and the total area of the leased industrial land have relationship with some factors. The district government behavior for leasing industrial land in BeijingAbstract: In this paper, by discussing the factors influencing industrial land leasing, the district government behavior for leasing industrial land in Beijing of China is investigated based on the mathematical models of leased industrial land price and total leased area. The factors influencing the district government behavior for leasing industrial land are considered as the variables in the models. From the ordinary least squares method, the regression formulae of the mathematical models are obtained. By collecting the data of the variables of the influencing factors in all districts of Beijing from 2008 to 2015, the numerical results of the coefficients of the influencing factors in the mathematical models are obtained from the regression formulae. After discussing the results, it is shown that the price and the total area of the leased industrial land have relationship with some factors. Finally, the policy implications of local district government behavior are proposed. Highlights: The variables of the attributes of land, district-level and location are selected to present the mathematical models. The mathematical models of leased industrial land price and total leased area are presented. The district-level data of Beijing from 2008 to 2015 are used to obtain the regression results. The results show that the price and the total area of the leased industrial land have relationship with some factors. The district government behavior for leasing industrial land in Beijing of China is investigated. … (more)
- Is Part Of:
- Land use policy. Volume 122(2022)
- Journal:
- Land use policy
- Issue:
- Volume 122(2022)
- Issue Display:
- Volume 122, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 122
- Issue:
- 2022
- Issue Sort Value:
- 2022-0122-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-11
- Subjects:
- District government -- Industrial land leasing -- Influencing factor -- Land price -- Land area -- Mathematical model
Land use -- Periodicals
Land use -- Government policy -- Periodicals
Sol, Utilisation du -- Périodiques
Sol, Utilisation du -- Politique gouvernementale -- Périodiques
Electronic journals
333.7305 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02648377 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.landusepol.2022.106389 ↗
- Languages:
- English
- ISSNs:
- 0264-8377
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5146.958700
British Library DSC - BLDSS-3PM
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