Land market, land development and urban spatial structure in Beijing

Ding, Chengri; Xiao-min, Zhao

doi:10.1016/j.landusepol.2013.10.019

Cited by 73 publications

(29 citation statements)

References 18 publications

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“…Industrial upgrading encouraged the development of commercial land and limited the unordered sprawl of industrial land, which led to the steep drop of the expansion area and intensity of industrial land. In this period, although the Chinese government enacted some policies and measures to regulate and control the hyped real estate market and outrageous home prices, such as "Housing Restriction Policy" (issued in 2010) [22], the expansion area and intensity of residential land maintained a high level due to the enormous housing demand. The significant expansion of traffic land was consistent with the development idea of the central city in NCMP, the content of which was strengthening the connection between the central city (included the port zones) and the peripheral areas by rail transit, highway and expressway, and by building an open network system.…”

Section: Temporal Variationmentioning

confidence: 99%

Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City

et al. 2017

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Abstract:The internal structure of urban construction land expansion (UCLE) is closely related to urban sustainability, and the UCLE in China's port city has a unique pattern. This study attempted to monitor the internal structure evolution of UCLE based on construction land transfer data in Ningbo's central city from 2002 to 2015. Equality fan analysis and kernel density analysis were applied to characterize the spatial-temporal dynamics of different types of UCLE and to summarize their evolution patterns. The results revealed that in the whole study area, the rank of the expansion size and intensity of construction land was: industrial land > traffic land > residential land > public land > commercial land. The dominant directions of all types of UCLE were the directions of the port zones. In the port zones, there were more apparent expansion trends and higher expansion intensities of industrial, traffic and public lands, which meant that the port had significant impact on UCLE, especially in terms of industrial land. Additionally, commercial and residential land expansions showed a circle-shaped gradient pattern; industrial land sprawl was in a leapfrog pattern; public and traffic land sprawl was illustrated in a bi-centric pattern. In the future, local government should encourage the development of residential and public land rather than industrial land, and shift the present industry structure which dominated by industry to a more balanced structure, in order to achieve sustainable development.

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Section: Temporal Variationmentioning

confidence: 99%

Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City

et al. 2017

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“…This indicates that UBLS is inevitable in China and that the development of various industries will make the inner structure of UBLS more complicated (Lu, Yao, Li, Liu, & Gao, 2007;Wang & Min, 2009). In addition to the rapid spatial expansion of their urban built-up areas, Chinese cities are also significantly restructuring their urban spatial forms (Ding & Zhao, 2014). According to China's urban land reform, since July 1, 2002, all land granted for commercial, tourism, entertainment, and so-called commodity housing purposes has been required to pass through a regulated and open tender, auction or listing process (Du, Thill, Peiser, & Feng, 2014;Huang, Wei, He, & Li, 2015).…”

Section: Introductionmentioning

confidence: 99%

How does sprawl differ across urban built-up land types in China? A spatial-temporal analysis of the Beijing metropolitan area using granted land parcel data

Jiang

et al. 2016

Cities

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“…A number of hedonic analyses have been made of China's real estate market, which only emerged in the late 1980s and is still confined to urban areas largely in eastern China (Hanink et al 2012). There have also been several applications of hedonic models specifically to the Beijing real estate market (Hua et al 2012;Wu et al 2012;Zheng et al 2012;Wu and Dong 2013;Xu and Smith 2013;Zheng and Kahn 2013;Ding and Zhao 2014).…”

Section: Methodsmentioning

confidence: 99%

A spatial hedonic model application of variance function regression to residential property prices in Beijing

Zhang

Cromley

Hanink

2015

Lett Spat Resour Sci

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Variance function regression incorporates a novel method of residual analysis that should be of interest in spatial modeling. The method is a two part regression: one for the conditional mean, which is a standard regression, and one for the conditional variance, which is estimated from the residuals of the initial regression. The method is briefly described and then applied hedonic models of residential real estate prices in Beijing, using both a metropolitan area sample and a smaller sample of the district of Chaoyang. As expected the results generally indicate that distance to Tiananmen Square is a powerful predictor of residential real estate prices in Beijing. That distance effect is fully encompassed in the mean structure of a regression model. However, other variables, such as the age of an apartment block have price effects that are revealed fully only when the conditional variance is modeled as well.

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Land market, land development and urban spatial structure in Beijing

Cited by 73 publications

References 18 publications

Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City

Monitoring the Different Types of Urban Construction Land Expansion (UCLE) in China’s Port City: A Case Study of Ningbo’s Central City

How does sprawl differ across urban built-up land types in China? A spatial-temporal analysis of the Beijing metropolitan area using granted land parcel data

A spatial hedonic model application of variance function regression to residential property prices in Beijing

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