Evaluating Sustainable Development of Land Resources in the Yangtze River Economic Belt of China

Sun, Yongkui; Zhi-yu, Yang; Yu, Xinyuan; Ding, Wangwang

doi:10.4018/jgim.285585

Cited by 7 publications

(7 citation statements)

References 30 publications

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“…This approach enhanced our understanding regarding the relation between urban land use and ecology in a more comprehensive manner. The findings indicate that during the sample period, the spatial disparity in LUEE among urban agglomerations in the YRB decreased over time, aligning with the conclusions of Sun et al [88].…”

Section: Analysis Of Spatio-temporal Characteristics Of Luee In the Yrbsupporting

confidence: 88%

Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China

Kong

et al. 2023

Sustainability

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Achieving synergistic development of efficient urban land use and the natural environment is crucial in promoting green urbanization. The assessment of land use eco-efficiency (LUEE) and its temporal–spatial changes provides an effective means of quantifying the relationship between the urban ecological environment and land use. Targeting 55 selected cities in the Yellow River Basin (YRB), in this study, we utilize the Super-EBM method to gauge the LUEE. We explore the temporal patterns and the spatial convergence of LUEE utilizing kernel density estimation and spatial econometric methods. Considering the resource and environmental costs of land use, we assumed the industrial pollutant emissions generated during urban land use as the undesired outputs and designed a framework for measuring the level of LUEE under double constraints, which theoretically revealed the formation process and spatial convergence mechanism of LUEE. The results show the following: (1) Throughout the sample period, the LUEE of the YRB urban agglomeration decreased from 0.158 in 2009 to 0.094 in 2020, indicating a decreasing spatial disparity in LUEE over time. Notably, the Lanxi urban cluster exhibited the largest gap in LUEE, whereas the Guanzhong Plain urban agglomeration displayed the smallest gap. The hyper-variable density exceeded the inter-group gap as the main factor leading to the difference in LUEE. (2) Although the LUEE of urban agglomerations has increased, there still exists a noticeable polarization phenomenon. (3) The LUEE of YRB demonstrates a pattern of conditional convergence and exerts a significant spatial spillover effect. Over time, the LUEE of YRB will tend towards an individual steady state. The findings have implications for strengthening linkage and synergy among cities in YRB, promoting factor integration across administrative regions, and formulating heterogeneous policies.

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Section: Analysis Of Spatio-temporal Characteristics Of Luee In the Yrbsupporting

confidence: 88%

Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China

Kong

et al. 2023

Sustainability

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“…Referring to previous studies, we selected a total of 22 indicators from the production, living, and ecology aspects, with cropland area, grass area, ecological service value, and water area as negative indicators and the rest as positive indicators. Positive indicators indicate that the greater the indicator, the higher the land pressure; negative indicators indicate that the greater the indicator, the lower the land pressure (Jiang et al, 2021; Lu et al, 2022; Sun et al, 2022; Yang, Bao, & Liu, 2020; Yang, Song, & Lu, 2020). Table S2 provides comprehensive explanations of the data sources used for the various study objectives.…”

Section: Methodsmentioning

confidence: 99%

Land pressure evaluation in the Yangtze River Delta region: A perspective from production‐living‐ecology

Chen

Zhang

et al. 2023

Land Degrad Dev

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The limited land is under unprecedented pressure from production, living, and ecology. For evaluating the land pressure in the Yangtze River Delta region in 1995, 2000, 2005, 2010, 2015, and 2020 from the perspective of production, living, and ecology, this study builds a land pressure evaluation index system based on a fuzzy comprehensive evaluation model using multisource and multiscale data. For investigating trade‐offs and synergies among production, living, and ecology pressures, we use the mechanical equilibrium model in physics. We then analyze land pressure model reliability and uncertainty using Monte Carlo simulations. The results show that (1) Our model can effectively reveal the level of land pressure and reflect the land pressure geographical pattern of “high in the east and low in the west, high in the south and low in the north” that characterizes the Yangtze River Delta region. (2) While living and ecology pressures tend to rise, production pressures tend to decrease. (3) Except for Shanghai, the trade‐off areas are primarily concentrated in economically successful regions with high production and living pressure and low ecology pressure. The coordinated areas are primarily found in northern Jiangsu Province and northern Anhui Province.

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“…Positive indicators indicate that the greater the indicator, the higher the land pressure, negative indicators indicate that the greater the indicator, the lower the land pressure Jiang et al, 2021;Liu et al, 2022;Sun et al, 2022). Table S1 provides comprehensive explanations of the data sources used for the various study objectives.…”

Section: Datamentioning

confidence: 99%

Land pressure evaluation in the Yangtze River Delta region: A perspective from production-living-ecology

Chen

Zhang

et al. 2023

Preprint

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The limited land is under unprecedented pressure from production, living and ecology. In order to evaluate the land pressure in the Yangtze River Delta region in 1995, 2000, 2005, 2010, 2015, and 2020 from the perspective of production, living, and ecology. This study builds a land pressure evaluation index system based on a fuzzy comprehensive evaluation model using multi-source and multi-scale data. In order to investigate trade-offs and synergies among production, living, and ecology pressures, we use the mechanical equilibrium model in physics. We then analyze land pressure model reliability and uncertainty using Monte Carlo simulations. The results show that (1) Our model can effectively reveal the level of land pressure and reflect the land pressure geographical pattern of “high in the east and low in the west, high in the south and low in the north” that characterizes the Yangtze River Delta region. (2) While living and ecology pressures are tending to rise, production pressures are tending to decrease. (3) Except for Shanghai, the trade-off areas are primarily concentrated in economically successful regions with high production and living pressure and low ecology pressure. The coordinated areas are primarily found in northern Jiangsu Province and northern Anhui Province.

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Evaluating Sustainable Development of Land Resources in the Yangtze River Economic Belt of China

Cited by 7 publications

References 30 publications

Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China

Temporal–Spatial Variations and Convergence Analysis of Land Use Eco-Efficiency in the Urban Agglomerations of the Yellow River Basin in China

Land pressure evaluation in the Yangtze River Delta region: A perspective from production‐living‐ecology

Land pressure evaluation in the Yangtze River Delta region: A perspective from production-living-ecology

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