Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 31, 2024
CO
Language: Английский
Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 31, 2024
CO
Language: Английский
Land, Journal Year: 2025, Volume and Issue: 14(3), P. 580 - 580
Published: March 10, 2025
The maintenance of critical natural capital stocks lays a basis for achieving sustainable development across the globe. However, rapid socioeconomic in Yangtze River Delta (YRD) region China has been somewhat conflict with sustainability capital, particularly domain land use. This, however, remains largely underexplored 41 cities partnering YRD. aim this paper is to bring clarity as YRD by using an improved three-dimensional footprint model, well explore underlying drivers spatial econometric models. We find that use most environmentally unsustainable long period time. Cropland recognized major source flows, experiencing low depletion stocks. By contrast, grazing found have poor appropriation suffering from severe Overall, both flows and at aggregate level remain relatively stable but geographically uneven, rich west north YRD, intensive northwest northeast In addition, proportion primary industry added value GDP per capita disposable income are identified YRD’s environmental unsustainability Our findings call renewed policies pinpoint land, fishing grounds cropland enable societal prosperity without accelerating capital.
Language: Английский
Citations
1Environmental Impact Assessment Review, Journal Year: 2024, Volume and Issue: 110, P. 107689 - 107689
Published: Oct. 17, 2024
Language: Английский
Citations
4Energy and Buildings, Journal Year: 2025, Volume and Issue: 332, P. 115421 - 115421
Published: Feb. 4, 2025
Language: Английский
Citations
0Energy, Journal Year: 2025, Volume and Issue: unknown, P. 136157 - 136157
Published: April 1, 2025
Language: Английский
Citations
0Utilities Policy, Journal Year: 2025, Volume and Issue: 95, P. 101944 - 101944
Published: May 1, 2025
Language: Английский
Citations
0Urban Science, Journal Year: 2024, Volume and Issue: 8(3), P. 104 - 104
Published: Aug. 1, 2024
Artificial intelligence (AI) has become a transformative force across various disciplines, including urban planning. It unprecedented potential to address complex challenges. An essential task is facilitate informed decision making regarding the integration of constantly evolving AI analytics into planning research and practice. This paper presents review how methods are applied in studies, focusing particularly on carbon neutrality We highlight already being used generate new scientific knowledge interactions between human activities nature. consider conditions which advantages AI-enabled studies can positively influence decision-making outcomes. also importance interdisciplinary collaboration, responsible governance, community engagement guiding data-driven suggest contribute supporting carbon-neutrality goals.
Language: Английский
Citations
3Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 211, P. 107897 - 107897
Published: Sept. 6, 2024
Language: Английский
Citations
2Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 214, P. 108039 - 108039
Published: Nov. 29, 2024
Language: Английский
Citations
1Environmental Science & Technology, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 31, 2024
CO
Language: Английский
Citations
1