Urban Land Use Efficiency and Contributing Factors in the Yangtze River Delta Under Increasing Environmental Restrictions in China

Yang, Qingke; Wang, Lei; Xianhong, Qin; Fan, Yida; Wang, Yazhu; Ding, Linlin

doi:10.1007/s11769-022-1306-0

Cited by 10 publications

(4 citation statements)

References 39 publications

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“…In addition, we found that the provincial capitals, such as Hefei, Nanjing, and Guiyang, are generally located in the low level of ULUE. However, Yang et al (2022) found that a high level of economic development was correlated with ULUE. The ULUE of central cities in the Yangtze River Delta in China remained high throughout the study period, which was contrary to the results of this study.…”

Section: Discussionmentioning

confidence: 96%

“…Previously, some scholars only selected economic indicators as a single output variables (Huang et al, 2016). However, with the deepening of the research on ULUE, researchers began to select output variables from economic, social and environmental aspects (Yang et al, 2022). In the process of urban land use, undesired outputs such as sewage and exhaust gases were also generated.…”

Section: Literature Reviewmentioning

confidence: 99%

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Unveiling the spatial-temporal variation of urban land use efficiency of Yangtze River Economic Belt in China under carbon emission constraints

Yang

Liu²,

Jiang³

et al. 2023

Front. Environ. Sci.

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Under the constraint of carbon emission, measuring and analyzing the spatial-temporal evolution characteristics of urban land use efficiency in the Yangtze River Economic Belt is the inherent requirement of its ecological protection and sustainable development. In this paper, we calculated the urban land use efficiency of 107 cities in the Yangtze River Economic Belt from 2006 to 2020 by using the SBM-Undesirable model with unexpected output, and analyzed its temporal evolution trend and spatial correlation relationship by using kernel density and spatial autocorrelation method. The results showed that: except in 2020, the urban land use efficiency was generally low due to the COVID-19 epidemic, and the urban land use efficiency in other years was mostly concentrated in the middle levels, and showed a trend of slow fluctuation and rise year by year. The difference of urban land use efficiency level between regions increased, and the dispersion degree in upstream, midstream and downstream increased with each passing year. Urban land use efficiency spatial imbalance was significant, and the urban land use efficiency level of large and medium-sized cities was generally lower than that of cities with low economic development level. The spatial correlation was weak, and the global spatial autocorrelation was basically insignificant, while the local spatial agglomeration areas were mainly distributed in the upstream and downstream regions, with a small distribution range and weak spatial interaction. The distribution areas of the standard deviation ellipse were gradually flattened, and the center of gravity as a whole shift significantly to the southwest. The research results are helpful to understand the development history and future trend of urban land use efficiency in various regions, and propose that cities should consider the impact of public crisis events in advance, reasonably control the scale of land expansion, and lead coordinated development and other reasonable suggestions when formulating land use policies.

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Section: Discussionmentioning

confidence: 96%

Section: Literature Reviewmentioning

confidence: 99%

Unveiling the spatial-temporal variation of urban land use efficiency of Yangtze River Economic Belt in China under carbon emission constraints

Yang

Liu²,

Jiang³

et al. 2023

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…This, in turn, affects land resource allocation and efficiency development [ [57] , [58] , [59] , [60] ]. The environmental structure and its changes, transformation, and operation are endogenous to the production structure determined by factor endowment structure[ 61 ]. They exert backward pressure on the production structure and influence the technological structure[ 62 ].…”

Section: Literature Review and Theoretical Frameworkmentioning

confidence: 99%

Environmental regulation, land use efficiency and industrial structure upgrading: Test analysis based on spatial durbin model and threshold effect

Yu,

Zheng

2024

Heliyon

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“…With the help of the DEA models and MLI, the spatiotemporal evolution of efficiency could be demonstrated intuitively (Han & Zhang, 2020; Li & Chen, 2021; Ren et al, 2019). The exploratory data analysis (Zhao et al, 2015), the Tobit model (Xie et al, 2019) and the spatial regression model (He et al, 2020; Tian & Feng, 2023) were introduced to analyze the factors that contribute to it, where some scholars found that ULGUEs were spatially related at different scales, such as the national, the provincial and urban agglomeration (Yang et al, 2022). Chen et al (2022) adopted the geographically weighted regression model to explore the spatial effect between economic development, land transaction, popular agglomeration, the construction of transport facilities and ULGUE at the national level.…”

Section: Introductionmentioning

confidence: 99%

How does the green efficiency of urban land use evolve in the urban agglomeration of China's middle Yangtze river?

Hong,

Mao

2023

Natural Resource Modeling

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The urban agglomeration in the middle reaches of the Yangtze river (MYRUA) is the second largest national urban agglomeration in China, with an excellent ecological foundation. As the construction of urban agglomerations accelerated towards both extension and connotation, land prices of various cities rose, and the contradiction in the demand and utilization of land resources became acute. Therefore, exploring the spatiotemporal evolution and driving mechanisms of land green utilization efficiency within MYRUA had positive significance. This article focused on 28 prefecture‐level cities in the MYRUA and measured their urban land green use efficiency (ULGUE) from 2006 to 2018 using the super slack‐based measure model with undesirable output (Super‐SBM‐U). Then, the improved Fixed Malmquist–Luenberger index was developed to improve the accuracy of dynamic efficiency analysis. Further, the internal and external driving factors were explored using the index decomposition and the spatial error model with fixed effects. The results showed that the land use mode of the urban agglomeration in the middle reaches of the Yangtze River was relatively green, but efficiency gaps still existed. Although the green total factor productivity of the whole cluster has improved by 3.30% a year on average, the excessive pursuit of technological innovation has led to the stagnation of urban land management in various cities, and there are numerous inherent contradictions in urban development. But at the same time, feasible economic development directions, industrial upgrading, high‐quality employees, land marketization, and positive environmental behaviors are conducive to the green and sustainable development of ULGUE. This article depicted the internal land use characteristics of the MYRUA from the perspective of spatiotemporal evolution and efficiency, providing a theoretical reference for the green development and coordinated management of urban agglomeration land.

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Urban Land Use Efficiency and Contributing Factors in the Yangtze River Delta Under Increasing Environmental Restrictions in China

Cited by 10 publications

References 39 publications

Unveiling the spatial-temporal variation of urban land use efficiency of Yangtze River Economic Belt in China under carbon emission constraints

Unveiling the spatial-temporal variation of urban land use efficiency of Yangtze River Economic Belt in China under carbon emission constraints

Environmental regulation, land use efficiency and industrial structure upgrading: Test analysis based on spatial durbin model and threshold effect

How does the green efficiency of urban land use evolve in the urban agglomeration of China's middle Yangtze river?

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