Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data

Jing Cheng

Land Use Policy, 2022, vol. 122, issue C

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.

Keywords: District government; Industrial land leasing; Influencing factor; Land price; Land area; Mathematical model (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:122:y:2022:i:c:s0264837722004161

DOI: 10.1016/j.landusepol.2022.106389

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