Energy Sustainable Development/Energy for sustainable development, Journal Year: 2024, Volume and Issue: 85, P. 101633 - 101633
Published: Dec. 27, 2024
Language: Английский
Energy Sustainable Development/Energy for sustainable development, Journal Year: 2024, Volume and Issue: 85, P. 101633 - 101633
Published: Dec. 27, 2024
Language: Английский
Habitat International, Journal Year: 2024, Volume and Issue: 153, P. 103206 - 103206
Published: Oct. 21, 2024
Language: Английский
Citations
8Land, Journal Year: 2024, Volume and Issue: 13(7), P. 942 - 942
Published: June 28, 2024
This paper focuses on the level of urban–rural integration development and its spatio–temporal evolution patterns in Chengdu-Chongqing Economic Circle. It constructs an evaluation indicator system encompassing five dimensions: population, economy, society, ecology, space. By comprehensively using statistical data multi-source employing methods such as entropy method, ESDA, obstacle degree model, various techniques, study measures analyzes at three time points: 2010, 2015, 2020. The findings are follows: (1) overall is low, predominantly low to lower-middle levels, with a clear core-periphery spatial pattern where central urban areas Chengdu’s seven districts Chongqing’s high-value cores, whereas peripheral regional less integrated. (2) From 2010 2020, there was steady increase transitioning from single-core more dynamic point-axis structure emerging growth poles. However, this transition accompanied by reduced inequality within each city, while disparities among cities gradually increased. (3) analysis obstacles across dimensions indicates that faces most significant barriers, mainly due geographical conditions constraints southwestern mountainous counties. In contrast, barriers economic social integration, though initially lower, have increased, highlighting imbalances between service provision. Overall, not only provides systematic measurement analytical framework for rural Circle but also offers theoretical empirical support global research practice integration. Additionally, it proposes targeted policy recommendations.
Language: Английский
Citations
5Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 110, P. 107715 - 107715
Published: Nov. 10, 2024
Language: Английский
Citations
4Land, Journal Year: 2025, Volume and Issue: 14(1), P. 148 - 148
Published: Jan. 13, 2025
Urban–rural fragmentation represents a significant challenge encountered by nations globally, particularly in both developing and developed contexts, during the modernisation process. This study examines effects of rural land system reform on facilitating integrated development between urban areas. The analysis impact 2010 liberalisation transfer policy employs dual machine learning model, utilising provincial-level data from China spanning 2005 to 2022, address limitations traditional causal inference models while ensuring estimation accuracy. findings indicate that significantly enhances urban–rural development, demographic, economic, ecological dimensions. mechanisms encompass facilitation extensive agricultural service operations, new business entities, migration labour, enhancement capital. Furthermore, notable disparities exist reforms across various regions, concerning integration levels. exhibit marginally diminishing trend. influence varies with economic levels, demonstrating nonlinear relationship, most pronounced observed regions moderate development. Additionally, differ based geographic location. policies central region exhibiting effect, followed north-eastern region, western eastern which shows least effect. provides reference for advancing marketisation factors, improving efficiency resource allocation, regionally multiple layers system.
Language: Английский
Citations
0Habitat International, Journal Year: 2025, Volume and Issue: 156, P. 103300 - 103300
Published: Jan. 13, 2025
Language: Английский
Citations
0Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 112, P. 107834 - 107834
Published: Jan. 21, 2025
Language: Английский
Citations
0International Review of Economics & Finance, Journal Year: 2025, Volume and Issue: unknown, P. 103904 - 103904
Published: Jan. 1, 2025
Language: Английский
Citations
0Land, Journal Year: 2025, Volume and Issue: 14(3), P. 625 - 625
Published: March 15, 2025
Rapid urbanization has posed serious challenges to urban land use, especially in the green and efficient use of land. However, existing research rarely combines new with efficiency (ULGUE), despite its significant importance for promoting regional sustainable development. To fill this gap, study focused on 60 cities middle lower Yellow River (MLYR) integrated various methods such as undesired output super-efficiency SBM model, modified gravity centrality indexes, random forest, geographically temporally weighted regression model. The purpose is reveal impact multi-dimensional spatial correlation network ULGUE results revealed following: (1) From 2001 2021, levels MLYR exhibited a upward trend obvious differences. (2) There was between MLYR, which dense east sparse west, balance gradually strengthened. Betweenness degree improved, while closeness declined. (3) comprehensive system exerted complex influence ULGUE. Ecological showed strongest positive In contrast, social relatively prominent negative correlation. This provides policy recommendations balanced development improving quality, efficiency, sustainability Basin, China.
Language: Английский
Citations
0Land, Journal Year: 2025, Volume and Issue: 14(4), P. 889 - 889
Published: April 17, 2025
Assessing URI and its driving mechanisms can promote urban–rural integration (URI). However, existing research has often underexplored county-scale analyses within national strategic zones in China given limited attention to the spatiotemporal impacts of drivers. Focusing on Yangtze River Economic Belt (YREB) China, this study examined dynamics county-level from 2000 2020 analyzed heterogeneity effects drivers using a geo-detector geographically temporally weighted regression (GTWR) model. The findings reveal following: (1) level counties YREB generally increased over period, though social spatial lagged behind economic environmental integration. (2) decreased spatially east west, forming high low levels agglomeration YREB’s urban agglomerations provincial fringes respectively. (3) development, fixed asset investment, transportation accessibility, geographical conditions drove differentiation counties. elevation significantly hindered eastern region, while central region was promoted by investment despite inhibitory effect slope. In western development played critical facilitating role, but slope remained limiting factor. Tailored strategies are needed for different regions URI.
Language: Английский
Citations
0Journal of Mountain Science, Journal Year: 2025, Volume and Issue: 22(4), P. 1169 - 1188
Published: April 1, 2025
Language: Английский
Citations
0