A comparative study on urban land use eco-efficiency of Yangtze and Yellow rivers in China: From the perspective of spatiotemporal heterogeneity, spatial transition and driving factors

Chen, Qian; Zheng, Liang; Wang, Ying; Wu, Di; Li, Jiangfeng

doi:10.1016/j.ecolind.2023.110331

Cited by 26 publications

(12 citation statements)

References 68 publications

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“…Ulee : Urban land green use efficiency. To account for pertinent studies throughout the construction of this system, we have developed the Ulee assessment index system, which has three levels: inputs, desirable outputs, and unpleasant outputs [ 3 , 20 , 21 ]. The area of urban construction land, the investment value of fixed assets, and the total number of employees in secondary and tertiary sectors serve as indicators of land, capital, and labor inputs [ 4 , 22 ].…”

Section: Methods Variable and Datamentioning

confidence: 99%

“…As determined by value-added from secondary and tertiary sectors, local government revenue, public green space, and the number of days that fulfill air quality criteria, respectively, desirable outputs include economic, social, and eco-environmental output [ 4 , 19 , 20 ]. Environmental pollution, primarily from industrial sources, has emissions of sulfur dioxide, wastewater discharged from those sources, and industrial smoke (dust) emissions [ 3 , [22] , [23] , [24] ].…”

Section: Methods Variable and Datamentioning

confidence: 99%

“…The development at the cost of the inefficient use of land resources and the pollution of the urban ecological environment restricts the sustainable development of cities [ 3 ]. Therefore, efficient use of urban land and protection of the ecological environment is crucial for promoting green growth in cities.…”

Section: Introductionmentioning

confidence: 99%

“…More research, though, is required to fully understand how environmental laws affect the green use efficiency of urban land. Some previous studies have yet to examine the potential impact of control variables on Ulee thoroughly, and there may be an opportunity to explore this subject further in future research [ 3 ]. The study by Xue et al (2022) [ 14 ] used SBM and Tobit models to measure land efficiency and explore its influencing factors.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Environmental regulation influences urban land green use efficiency: Incentive or disincentive effect? Evidence from China

He,

Gong,

Ding

et al. 2024

Heliyon

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Section: Methods Variable and Datamentioning

confidence: 99%

Section: Methods Variable and Datamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Environmental regulation influences urban land green use efficiency: Incentive or disincentive effect? Evidence from China

He,

Gong,

Ding

et al. 2024

Heliyon

View full text Add to dashboard Cite

“…As an important assessment indicator of ecosystem service function, the change of ESV value quantity characterizes to some extent the degree of impact of human activities on ecosystem [58]. The cross-sensitivity coefficient between land use change and ESV can quantitatively assess the degree and direction of the impact of land use transition on the value of ecosystem services with a certain degree of credibility [59].…”

Section: Uncertainty and Prospectsmentioning

confidence: 99%

Cross-sensitivity Analysis of Land Use Transition and Ecological Service Values in Rare Earth Mining Areas in Southern China

Zhu,

Chen,

Wan

et al. 2023

Preprint

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Rare earth resources are important national strategic resources, and the mining process will change the original land use types, and it will have a certain impact on the ecosystem service values around the rare earth mining areas. To study the impact of land use changes on ecosystem service functions in rare earth mining areas, firstly, the land use change trends in the study area from 2009 to 2019 were analyzed using the land transfer matrix; then the distribution of ecosystem service values and the flow direction of ecosystem service values in the study area were measured based on the ecosystem service value equivalents; a spatial autocorrelation analysis was done on the ecosystem service values to explore their spatial distribution patterns; and finally, the cross-sensitivity coefficient was used to quantitatively assess the impact of land use changes on ecosystem service, the cross-sensitivity coefficient was used to quantitatively assess the extent and direction of the impact of land use change on ecosystem service values. The results show that the land use types in the study area are mainly forest land and farmland, with woodland accounting for the highest proportion of the study area. The ESV changes in the study area are consistent with the trend of land use transformation, with the overall increase and decrease being comparable, and the decrease in ESV is mainly concentrated in the areas with a large increase in mining land and construction land; during the study period, the study area was significantly reduced with low - low aggregation areas and the ecological environment was improved; from 2009 to 2011, the ecological sensitivity coefficient is more variable, and is more sensitive to the net conversion between water and desert, from 2014 to 2019, the ecological sensitivity coefficient is less variable, and the most sensitive is the net conversion between cultivated land and water. The study area should be reasonably developed for rare earth resources and the ecological environment around the mining area should be reasonably protected to build an ecological security pattern.

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Analysis of changes and driving forces of landscape pattern vulnerability at Qianping Reservoir in Central China

Xu,

Wang,

et al. 2024

Environ Monit Assess

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A comparative study on urban land use eco-efficiency of Yangtze and Yellow rivers in China: From the perspective of spatiotemporal heterogeneity, spatial transition and driving factors

Cited by 26 publications

References 68 publications

Environmental regulation influences urban land green use efficiency: Incentive or disincentive effect? Evidence from China

Environmental regulation influences urban land green use efficiency: Incentive or disincentive effect? Evidence from China

Cross-sensitivity Analysis of Land Use Transition and Ecological Service Values in Rare Earth Mining Areas in Southern China

Analysis of changes and driving forces of landscape pattern vulnerability at Qianping Reservoir in Central China

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