scholarly journals Political Cycles and the Mix of Industrial and Residential Land Leasing

2018 ◽  
Vol 10 (9) ◽  
pp. 3077 ◽  
Author(s):  
Li Fang ◽  
Chuanhao Tian ◽  
Xiaohong Yin ◽  
Yan Song
Keyword(s):  
Urban Landscape ◽  
Urban Land ◽  
Economic Benefits ◽  
Residential Land ◽  
Industrial Land ◽  
Real Estate Markets ◽  
Party Committee ◽  
Political Cycles ◽  
Strategic Behaviors ◽  
Land Leasing

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.

scholarly journals The Impact of State-owned Urban Land Leasing on Intention to Reside of Migrant Labors

2020 ◽  
Vol 214 ◽  
pp. 01042
Author(s):  
Mingfeng Jiang
Keyword(s):  
Public Service ◽  
Local Governments ◽  
House Price ◽  
Urban Land ◽  
Fiscal Stress ◽  
Industrial Land ◽  
Secondary Industry ◽  
The Impact ◽  
House Building ◽  
Land Leasing

Based on the data of the 74310 individual migrant labors from 250 cities that distribute uniformly in China, taking the fiscal stress of the local governments as the instrumental variable due to endogeneity, the IV-probit models indicate that: the area of state-owned urban land leasing promotes the overall intention to reside of migrant labors. Besides, the use structure of urban land leasing matters as well. Land leasing for public service effects the intention to reside positively while land leasing for house building and the secondary industry restrain the intention through mediators like education, house price and industry scale. State-owned urban land leasing for the tertiary industry is proven uncorrelated with the intention to reside, however. It is advised that the local governments ought to choose the urban land leasing structure with larger proportion of land for public service and less proportion of residential and industrial land to strengthen the intention to reside of migrant labors.

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

2020 ◽  
Vol 2020 ◽  
pp. 1-11 ◽  
Author(s):  
Jing Cheng
Keyword(s):  
Data Analysis ◽  
Mathematical Models ◽  
Subway Station ◽  
Land Area ◽  
Government Behavior ◽  
Industrial Land ◽  
Factors Influencing ◽  
District Government ◽  
The Government ◽  
Land Leasing

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.

Coupling Coordination Analysis of Urban Land Intensive Use Benefits Based on TOPSIS Method in Xianning City

2014 ◽  
Vol 1073-1076 ◽  
pp. 1387-1392 ◽  
Author(s):  
Ya Qun Wang ◽  
Cheng Shun Song ◽  
Zheng Xiong
Keyword(s):  
General System ◽  
Theoretical Models ◽  
Urban Land ◽  
Development Stage ◽  
Economic Benefits ◽  
Environmental Benefits ◽  
Intensive Use ◽  
High Coordination ◽  
Coordination Degree

With the theory and method of general system science, the paper, by taking Xianning City as a case study, established coupling coordination theoretical models of socio-economic benefits and eco-environmental benefits of urban land intensive use, then analyzed socio-economic benefits and eco-environment benefits of urban land intensive use, coupling degree and coupling coordinative degree between urban land intensive use socio-economic and eco-environmental by using the statistical data during 1999-2010. The results showed that: (1) The socio-economic benefits of urban land intensive use increased rapidly, however, the eco-environmental benefits of urban land intensive use increased in a fluctuation; (2) The coupling degrees of urban land intensive use socio-economic benefits and eco-environmental benefits was at an antagonism development stage, the coupling degrees decreased slowly; (3) The coupling coordination degree of urban land intensive use socio-economic benefits and eco-environmental benefits experienced moderate coordination level and high coordination level.

scholarly journals Urban Residential Land Suitability Analysis Combining Remote Sensing and Social Sensing Data: A Case Study in Beijing, China

2019 ◽  
Vol 11 (8) ◽  
pp. 2255 ◽  
Author(s):  
Huiping Huang ◽  
Qiangzi Li ◽  
Yuan Zhang
Keyword(s):  
Remote Sensing ◽  
Remote Sensing Data ◽  
Urban Land ◽  
Urban Land Use ◽  
Land Suitability ◽  
Residential Land ◽  
Social Sensing ◽  
Sensing Data ◽  
Beijing China

With the degradation of the environment and the acceleration of urbanization, urban residential land has been undergoing rapid changes and has attracted great attention worldwide. Meanwhile, the quantitative evaluation of the suitability of urban residential land is essential for a better and more powerful understanding of urban residential land planning and improvement. Most urban land suitability studies rely solely on remote sensing data and GIS data to evaluate natural suitability, and few studies have focused on urban land suitability from a socioeconomic perspective. Consequently, this paper integrates remote sensing data (GaoFen-2 satellite image) and social sensing data (Tencent User Density data, Point-of-interest data and OpenStreetMap data) to establish an evaluation framework for analyzing the suitability of urban residential land in the Haidian District, Beijing, China, in which, ecological comfortability, locational livability and overall suitability were evaluated according to five attributes extracted from urban residential land via the factor analysis method. The evaluation results of this case study show that, compared with the suburban area in the northwest, the urban area tends to have lower ecological comfortability and higher locational livability. The overall suitability increases from southeast to northwest, consistent with the spatial distribution of ecological comfortability. This framework can potentially assist with the sustainable development of residential lands and urban land use planning.

scholarly journals Analysis on the Spatio-Temporal Characteristics of Urban Expansion and the Complex Driving Mechanism: Taking the Pearl River Delta Urban Agglomeration as a Case

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Luo Liu ◽  
Jianmei Liu ◽  
Zhenjie Liu ◽  
Xuliang Xu ◽  
Binwu Wang
Keyword(s):  
Pearl River Delta ◽  
Urban Landscape ◽  
Urban Expansion ◽  
Urban Land ◽  
Pearl River ◽  
Driving Mechanism ◽  
The Pearl River Delta ◽  
Urban Land Expansion ◽  
Spatio Temporal ◽  
The Pearl River

Rapid urbanization on a global scale leads to a number of issues such as arable land occupation and ecological degradation. In this context, analyzing the driving mechanism of urban land expansion in complex urban systems facilitates sustainable urban development. Most relevant studies focused on the role of each driving factor and less considered the interaction between different factors spatially and temporally. In order to provide a deep insight into the complex driving mechanism of urban expansion, this study began with an analysis of the spatio-temporal characteristics of urban expansion in the Pearl River Delta (PRD) urban agglomeration in different periods. Then, the driving mechanism of urban expansion intensity (UEI) and urban expansion landscape pattern were analyzed, based on the interaction of different driving factors over space and time. The result showed as follows. (1) During the period of 2000–2008, the overall UEI in the PRD was higher than that of the period of 2008–2015. From 2000 to 2015, the most important source of urban land expansion was farmland, followed by forest land. Meanwhile, the decline in the proportion of outlying expansion type indicated that the urban land has gradually become more compact. (2) From 2000 to 2015, the socio-economic factors had a greater effect on UEI than natural factors. And the interaction between the pairs of factors on UEI during 2000–2008 was significantly stronger than that during 2008–2015. (3) The driving factors of the urban landscape expansion index during the period from 2008 to 2015 were far more powerful than 2000–2008. And the interaction between the pairs of factors on urban landscape expansion index during 2000–2008 was significantly stronger than that during 2008–2015.

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