The Economic Efficiency of Urban Land Use with a Sequential Slack-Based Model in Korea

Choi, Yongrok; Wang, Na

doi:10.3390/su9010079

Cited by 15 publications

(7 citation statements)

References 32 publications

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“…Research methods are also increasingly diversified, mainly including the coupling degree model [24], the Cobb-Douglas production function [25], data envelopment analysis [26], stochastic frontier analysis [27], the directional distance function [28], Theil index [29], Gini coefficient [19], and so on (Table 1). The technological framework has evolved from a single indicator framework reflecting the economic benefits of urban land use [30] to a multi-indicator framework reflecting economic, social and ecological development [31]. The research scale includes the country level [18,32], economic belts [33,34], urban agglomerations [35], and typical cities [22,36].…”

Section: Current State Of the Art On Describing And Measuring Uluementioning

confidence: 99%

Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China

Cui

Huang

Liu

et al. 2021

Land

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Rapid urban sprawl is a key characteristic of the current urban land use changes in China. It leads, however, to inefficient land use and spatial imbalance. This paper conducts a quantitative analysis of the urban land use efficiency (ULUE) at a provincial scale in China, based on the SBM-GPA integration model, and using the datasets of 31 province-level regions (provinces, municipalities and autonomous regions) in Chinese mainland from 2008 to 2017. The analysis demonstrates that: (1) the proportion of provinces reaching the production frontiers is low, but there are possibilities to improve for the ULUE; (2) the provincial ULUE strongly correlates to the type of agglomeration characteristics, and the degree of agglomeration tends to increase year by year; (3) there are three types of clusters of provincial ULUE values: high, medium, and low; (4) the gravity center of the provincial ULUE is located in Henan Province, where values are relatively stable and limited changes occur. The novelty of this research is that it applies spatial modeling to characterize and analyze ULUE spatial and temporal variations and clusters in China. Practically, this can better support decision making in urban land use management.

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Section: Current State Of the Art On Describing And Measuring Uluementioning

confidence: 99%

Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China

Cui

Huang

Liu

et al. 2021

Land

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“…According to the China City Statistical Yearbook, China's urbanization rate increased from 36.2% in 2000 to 63.9% in 2020, exhibiting strong growth potential [4,5]. However, with the continuous acceleration of China's industrialization and urbanization process, the rapid expansion of construction land has resulted in the rough use and inefficient idling of urban land, resulting in corresponding socioeconomic and environmental problems, which seriously affect and constrain the sustainable development of regional socioeconomics [6][7][8][9][10]. Currently, China's economy has shifted from highgrowth to high-quality development, and the traditional development model based on land expansion is no longer sustainable; these factors make the conflict between land resource use and economic growth increasingly prominent [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Multidimensional Evaluation of Urban Land-Use Efficiency and Innovation Capability Analysis: A Case Study in the Pearl River Delta Region, China

Lei

Dong

et al. 2023

Sustainability

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With China’s rapid industrialization and urbanization, sustainable urban development is one of the most significant challenges that the country will face in the future, and the rational evaluation and improvement of urban land-use efficiency (ULUE) are becoming crucial for land and urban development. Existing studies rarely examine ULUE, and there is a dearth of urban land use analysis in terms of different functions, regional differences in levels of development, and innovation capacity. Therefore, we take the Pearl River Delta (PRD), China’s economic and innovation center, as our research target and propose a new framework to analyze its comprehensive ULUE. First, we summarized the patterns of land-use change in the PRD region as a whole along with nine major cities from 2000 to 2020 on the basis of data from the China Land Survey. Then, we constructed a multidimensional evaluation model for ULUE and analyzed the spatial differences and causes of multidimensional performance in nine major cities. Finally, we calculated the innovation capability index of the PRD region and established a coupling coordination–evaluation model to analyze the coordination relationship between innovation capability and urban land use. The three main findings of this study are as follows. (1) The growth rate of urban land in the PRD region as a whole exhibited stage differences. (2) The comprehensive ULUE in the PRD urban agglomeration was high, and the spatial variability of functional performance in each dimension was obvious. (3) The level of coordination between innovation capability and urban land use in the PRD region was high, and the coupled coordinated development exhibited a decreasing spatial distribution pattern. Thus, the PRD region mainly relies on the cities of Shenzhen and Guangzhou to drive innovation development of the region.

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“…For example, the excessive expansion and extensive use of urban construction land occupied a large number of agricultural lands, resulting in the increasingly acute contradiction between people and land (Cartier, 2001;Lambin and Meyfroidt, 2010;Zhang et al, 2022). Problems such as extensive use of urban land, circle instead of use, and insufficient degree of intensification had led to irrational land use structure and inefficient utilization (La Rosa et al, 2014;Choi and Wang, 2017;. In addition, due to the excessive emphasis on economic benefits of urban land use, a large number of pollution emissions had been generated, resulting in the destruction of ecosystems and endangering the sustainable development of cities (Martínez-Zarzoso and Maruotti, 2011;Chen, 2015;Verma and Raghubanshi, 2018).…”

Section: Introductionmentioning

confidence: 99%

Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze river economic belt, China

Cui

Li²,

Qiu³

2023

Front. Environ. Sci.

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In this study, we calculate the urban land green use efficiency (ULGUE) in the Yangtze River Economic Belt from 2005 to 2019 by using the epsilon-based measure (EBM) model. Further, the spatial-temporal distribution, regional differences and evolution trends of ULGUE in the Yangtze River Economic Belt are investigated in depth by using the Dagum Gini coefficient, Kernel Density estimation and Markov Chain method. The following results are obtained. 1) From the perspective of spatial-temporal evolution, the ULGUE in the Yangtze River Economic Belt show a fluctuating upward trend from 2005 to 2019, and it is manifested as diffusion from downstream to middle and upper reaches. 2) From the perspective of regional differences, there is a relatively obvious imbalance of ULGUE within the Yangtze River Economic Belt, but the differences narrow over time. 3) Considering the distribution dynamic evolution, the box diagram and distribution curve of ULGUE in the Yangtze River Economic Belt have a tendency to move to high values, but there is a more obvious phenomenon of spatial polarization. 4) For the part of time and space transfer, the ULGUE within the Yangtze River Economic Belt show the characteristic of “club convergence”, and the Spatial Markov Chain results show an obvious “spatial spillover” effect.

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The Economic Efficiency of Urban Land Use with a Sequential Slack-Based Model in Korea

Cited by 15 publications

References 32 publications

Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China

Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China

Multidimensional Evaluation of Urban Land-Use Efficiency and Innovation Capability Analysis: A Case Study in the Pearl River Delta Region, China

Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze river economic belt, China

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