Land pricing and its impact on land use efficiency in post-land-reform China: A case study of Beijing

Jin-feng, DU; Thill, Jean‐Claude; Peiser, Richard

doi:10.1016/j.cities.2015.08.014

Cited by 102 publications

(60 citation statements)

References 29 publications

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“…A large amount of cropland was lost, while built-up land area increased by one-third (Figures 2 and 3). In general, the most fertile land available was used for farming; hence, the loss of cropland leads to significant crop productivity losses, particularly in suburban areas that are experiencing urbanization [45]. The results of our study were consistent with those of previous studies, such as the study that found that the Los Angeles, California suburbs of Orange County and San Bernardino County have witnessed a dramatic loss of prime farmland and orange groves to suburban development [46].…”

Section: The Effects Of Policy Changessupporting

confidence: 83%

Effects of Urbanization on Landscape Patterns in a Mountainous Area: A Case Study in the Mentougou District, Beijing, China

et al. 2016

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Abstract:We explored the process of urbanization in a mountainous area to seek a sustainable urbanization strategy. Previous urbanization research has mainly focused on flat terrain and coastal areas, and urbanization in mountainous areas remains poorly understood. This study integrated geographic information systems, remote sensing, and statistical analysis to quantify landscape patterns dynamics in response to urbanization, with a case study of Mentougou District in Beijing, China from 1985 to 2014. We found that the total built-up area increased along with the population and economic indicators. The built-up area increased by one-third over the study period, with 73.38% of the increase from converted cropland and 12.22% from converted orchard. The urban expansion area was concentrated in the plain sub-region (<200 m elevation, comprising 68.85% of the expansion area). The landscape patterns varied over this period. For the whole region, the low mountain sub-region and the high mountain sub-region, landscape patterns gradually became more heterogeneous and fragmented, but they showed the opposite trend in the plain sub-region. None of the urbanization indicators (population, economic and built-up land area) were significantly correlated with landscape metrics for the whole region, but they were significantly correlated in the plain sub-region. The impacts of urbanization on landscape patterns were mainly focused on the plain sub-region, and the effects in the low mountain and high mountain sub-regions were weak. Future urban development in mountainous areas should focus on the protection of cropland and local industries as part of a sustainable development strategy for the whole region.

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Section: The Effects Of Policy Changessupporting

confidence: 83%

Effects of Urbanization on Landscape Patterns in a Mountainous Area: A Case Study in the Mentougou District, Beijing, China

et al. 2016

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“…Further, this study makes further progress as emphasizing the importance of quality of land urbanization in the country. Since improving the efficient land use is commonly recognized as of vital significance in balancing the farmland protection and the accommodation of socio-economic development, especially for a country like China with sharp conflict between supply and demand of land, as well as land-human relationship and rapid urbanization progress (Du, Thill & Peiser, 2016).To enrich the literature in the related area, the purpose of this study are as follows: To begin with, we tend to establish an evaluation system for LUQ which emphasis the sustainable development of urban land use in China; Further, for the first time in the literature, this study tend to investigate the relationships between LUQ and CO 2 emissions in China and take into consideration of regional difference. The study trying to present reference value for urban development, energy conservation and emission reduction.…”

Section: Introductionmentioning

confidence: 99%

The causal relationship between carbon emissions and land urbanization quality: A panel data analysis for Chinese provinces

Zhang

2016

Journal of Cleaner Production

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The Chinese government, like many others around the world, has set carbon targets that by the time of 2020, to achieve a 40 45% decrease in CO 2 emissions per GDP compared with that of 2005. In some parts of China, short-term economic needs have dominated urban planning, while in other areas-especially in recent years-emphasis has shifted to the quality of urban development. This paper contributes to the literature as placing emphasis on the quality of land use as well as detecting possible causal links between land urbanization quality(LUQ) and carbon emissions using panel data from at provincial level from 2004 to 2013.The results show that:There is bidirectional long-run causal relation between carbon emission and LUQ on the national scale, which implies that the two are jointly determined and that they simultaneously affect each other. As the case of recovery to the equilibrium, Eastern regions have the fastest speed, followed by the Central and the Western ranked at last. Further, what worth noting is LUQ contribute to reducing carbon emissions, indicating the ongoing industrial restructuring and green developments have come into force. Moreover, we deduce that the Central region has the highest potential for energy conservation. We further propose that emphasis should be placed on promoting the degree of LUQ and energy conservation in the implementation during the New-type Urbanization Plan (2014)(2015)(2016)(2017)(2018)(2019)(2020).

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“…However, it was not ideal for spatial nonstationary data regression estimation. Proposed by the British scholar Fotheringham in the field of spatial nonstationarity, geographically weighted regression (GWR) extended the traditional regression model y i = β 0 + k β k x ik + ε i [58]. This extension was due to the advantage that, by applying the spatial weight matrix to the linear regression model, GWR could display spatial structure differentiation [59,60].…”

Section: Ols and Gwr Methodsmentioning

confidence: 99%

Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China

Zhi-heng

Fang

2020

Land

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More and more studies on land transfer prices have been carried out over time. However, the influencing factors of the industrial land transfer price from the perspective of spatial attributes have rarely been explored. Selecting 25 towns as the basic research unit, based on industrial land transfer data, this paper analyzes the influencing factors of the price distribution of industrial land in Dingzhou City, a rural land system reform pilot in China, by using a geographically weighted regression (GWR) model. Eight evaluation factors were selected from five aspects: economy, population, topography, landform, and resource endowment. The results showed that: (1) Compared with the traditional ordinary least squares (OLS) model, the GWR model revealed the spatial differentiation characteristics of the industrial land transfer price in depth. (2) Factors that have a negative correlation with the industrial land transfer price include the proportion of cultivated land area and distance to the city. Factors that have a positive correlation with the industrial land transfer price include the population growth rate, economic growth rate, population density, and number of hospitals per unit area. (3) The results of GWR model analysis showed that the impact of different factors on the various towns of different models had significant spatial differentiation characteristics. This paper will provide a reference for the sustainable use of industrial land in developing countries.

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Land pricing and its impact on land use efficiency in post-land-reform China: A case study of Beijing

Cited by 102 publications

References 29 publications

Effects of Urbanization on Landscape Patterns in a Mountainous Area: A Case Study in the Mentougou District, Beijing, China

Effects of Urbanization on Landscape Patterns in a Mountainous Area: A Case Study in the Mentougou District, Beijing, China

The causal relationship between carbon emissions and land urbanization quality: A panel data analysis for Chinese provinces

Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China

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