Study on the spatial–temporal evolution and driving mechanism of urban land green use efficiency in the Yellow River Basin cities

Li, Haiyang; Wang, Zhanqi; Zhu, Ming–Sheng; Hu, Chenxu; Liu, Chong

doi:10.1016/j.ecolind.2023.110672

Cited by 13 publications

(2 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Before 2015, the main drivers of land use change in the lower reaches of the Yangtze River were socioeconomic factors, and this conclusion was also supported by related studies (Song et al, 2018). By 2020, natural factors in the land use change in LRYR gradually become the main driving factor, and the explanatory power of topographic factors such as elevation and slope among natural factors gradually increases, which is closely related to China's policy of gradually shifting from the rough development mode to the refined and green development mode since China's Reform and Opening Up (Wu et al, 2006;Li et al, 2023).…”

Section: Drivers Of Land-use Changementioning

confidence: 99%

Dynamic variation and driving mechanisms of land use change from 1980 to 2020 in the lower reaches of the Yangtze River, China

Shang,

Cui,

Wang

et al. 2024

Front. Environ. Sci.

View full text Add to dashboard Cite

To systematically explore land use/cover change (LUCC) trends and driving mechanisms at the large watershed scale under the background of climate change and rapid urbanization. Taking the lower reaches of the Yangtze River (LRYR) as the research object, based on the land use remote sensing monitoring data from 1980 to 2020, the spatial and temporal evolution characteristics of LUCC in LRYR were analyzed by adopting the methods of land use dynamics degree (LUDD) and hotspot analysis and used geospatial detectors to quantitatively assess the intensity of the role of the land use change drivers in the LRYR. The results show that: 1) The land-use types in LRYR were dominated by arable land and woodland, accounting for more than 70% of the total area. During the study period, the construction land area increased by 11,835 km2, and became the third largest land-use type in LRYR after 2010 and formed a typical urban contiguous zone along the route from Nanjing to Shanghai. 2) The land use degree comprehensive index (LUDCI) in LRYR at each stage is 270.91, 270.88, 272.22, 272.72, 274.00, 275.57, 276.93 and 280.37, respectively. LUCC in LRYR has become more dramatic, and there is significant spatial heterogeneity. Shanghai has always been a hot area of LUCC and Huangshan and Chizhou are cold spots of LUCC. 3) The driving mechanism of LUCC in LRYR can be divided into three stages. In these three stages, secondary industry output value, precipitation, and elevation are always important factors affecting LUCC. The interaction between driving factors is significant. The strongest interaction is the output value of the secondary industry ∩ precipitation, the interaction reaches above 0.6. The research results are of great significance for promoting the sustainable development of land use in this region.

show abstract

Section: Drivers Of Land-use Changementioning

confidence: 99%

Dynamic variation and driving mechanisms of land use change from 1980 to 2020 in the lower reaches of the Yangtze River, China

Shang,

Cui,

Wang

et al. 2024

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…( 6) Science education level (technology). Investment in science and education is essential for fostering research and innovation in environmental protection and sustainable development, as well as enhancing people's environmental awareness and skills [66]. And the natural logarithm of total science and education expenditure for each city is employed to measure this.…”

Section: Variable Setting and Data Resourcementioning

confidence: 99%

Impacts of Low-Carbon City Pilot Policy on Urban Land Green Use Efficiency: Evidence from 283 Cities in China

Zheng,

Chen

2024

Sustainability

View full text Add to dashboard Cite

On the global scale, the low-carbon city pilot policy (LCCPP) has important significance for and influence on the study of urban land green use efficiency (ULGUE). Based on the panel data of 283 cities in China from 2007 to 2019, this study uses the super-SBM model, multi-period DID model, spatial econometric model, intermediary effect model, and heterogeneity analysis methods to deeply explore the specific impact mechanism of LCCPP on ULGUE. The results show the following: (1) During the study period, the average ULGUE of the selected samples increased by 11.71 percentage points overall and showed a certain spatial agglomeration effect. (2) LCCPP has a significant promoting effect on the improvement of ULGUE, and there is a positive spatial spillover effect. (3) The impact of LCCPP on ULGUE is mainly achieved through two paths: reducing energy utilization intensity and improving urban innovation level. (4) In cities with different levels of land green use efficiency, geographical location, and resource endowment, there are significant differences in policy effects. This paper puts forward countermeasures and suggestions to comprehensively promote the sustainable development of global cities and the improvement of land green use efficiency.

show abstract

Study on the coupled and coordinated development of urban resilience and urbanization level in the Yellow River Basin

Li,

Hu,

Zhu

et al. 2024

Environ Dev Sustain

View full text Add to dashboard Cite

Study on the spatial–temporal evolution and driving mechanism of urban land green use efficiency in the Yellow River Basin cities

Cited by 13 publications

References 25 publications

Dynamic variation and driving mechanisms of land use change from 1980 to 2020 in the lower reaches of the Yangtze River, China

Dynamic variation and driving mechanisms of land use change from 1980 to 2020 in the lower reaches of the Yangtze River, China

Impacts of Low-Carbon City Pilot Policy on Urban Land Green Use Efficiency: Evidence from 283 Cities in China

Study on the coupled and coordinated development of urban resilience and urbanization level in the Yellow River Basin

Contact Info

Product

Resources

About