Analysis of commercial land leasing of the district governments of Beijing in China

2021 ◽  
Vol 100 ◽  
pp. 104881
Author(s):  
Jing Cheng
Keyword(s):  
2021 ◽  
Vol 25 (6) ◽  
pp. 485-496
Author(s):  
Lihua Zhang ◽  
Rui Han ◽  
Juanfeng Zhang ◽  
Lele Li ◽  
Danxia Zhang

This study first analyzes how local governments’ land-leasing behaviors affect Chinese cities’ debt risk then examines the impact of officials’ promotion mechanisms on debt risk in China’s urban land bank system. The land-leasing behavior is reflected through three indicators, namely, land-leasing revenue, land-leasing scale, and land financial dependence level. Two new indicators are constructed to measure the local government’ debt risk from the perspective of debt scale and debt repayment: the debt scale risk and debt burden risk. Empirical analyses are based on the data of 281 prefecture-level cities from 2006–2015. The main findings are twofold. First, the debt scale risk is positively affected by the land-leasing revenue, and officials’ promotion pressure. The debt burden risk is positively affected by the land financial dependence and officials’ promotion pressure. Second, the officials’ promotion pressure significantly enhances the positive effect of land-leasing revenue on the debt scale risk. Local officials, who are under promotion pressure, are inclined to expand the size of urban investment bonds, which increases debt scale risk.


2018 ◽  
Vol 10 (9) ◽  
pp. 3077 ◽  
Author(s):  
Li Fang ◽  
Chuanhao Tian ◽  
Xiaohong Yin ◽  
Yan Song

This paper studies how political cycles change the mix of industrial and residential land in urban land leasing. The mixture of different types of land leasing in cities affects urban landscape, resident welfare, and economic sustainability. Using prefecture-level panel data from China and statistical regressions, this paper finds that cities lease out 3% more industrial land, as a percentage of total annual urban land leasing, when their party committee secretaries have been in office for no more than two years. In the same period, they lease out 2% less residential land. This is explained by the strategic behaviors of party committee secretaries to increase their chances of political promotion. Urban land leasing fuels local economic performance and increases the chance of city leaders’ promotion. While the economic benefits of residential land are immediate, those of industrial land cannot be reaped until two years later. This divided timeline results in more aggressive leasing of industrial land early on in party committee secretaries’ service terms, and that of residential land later on. Mayors’ service terms do not have the same effect. This political cycle distorts the temporal and spatial distributions of industrial and residential land in cities, and results in inefficient land use and unstable real estate markets.


2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Jing Cheng

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.


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