
Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100643 - 100643
Published: Feb. 1, 2025
Language: Английский
Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100643 - 100643
Published: Feb. 1, 2025
Language: Английский
Environmental Impact Assessment Review, Journal Year: 2022, Volume and Issue: 97, P. 106905 - 106905
Published: Sept. 8, 2022
Language: Английский
Citations
87Green Technologies and Sustainability, Journal Year: 2023, Volume and Issue: 1(2), P. 100018 - 100018
Published: Feb. 9, 2023
Green Manufacturing is the term for innovative production methods aimed at reducing adverse environmental impacts via waste reduction, recycling, better natural resource utilisation, and other allied measures. It transcends "reduce, reuse, recycle" strategy of 3R into a 5R approach: "repair, refurbish, rebuild recycle", which leads to much utilisation resources longer product life. feasible achieve "zero waste". Reduction hazardous emissions in manufacturing products support employees local community have helped firms reflect their efforts worldwide with help green manufacturing. The Internet Things (IoT) may overshadowed trend, but not going away. IoT can be another way make company more ecological, vital attaining sustainable businesses. To this study relevant, papers on Sustainability are identified from Scopus, Google scholar, ResearchGate, Science Direct research platforms further studied briefly. This summarises its importance establishing environment. Different strategic tools specialised Sustainable Environment discussed, as well crucial applications
Language: Английский
Citations
52Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 394, P. 136359 - 136359
Published: Feb. 6, 2023
Language: Английский
Citations
49Energy, Journal Year: 2024, Volume and Issue: 295, P. 131034 - 131034
Published: March 20, 2024
Language: Английский
Citations
41Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 111, P. 105561 - 105561
Published: June 1, 2024
Language: Английский
Citations
22Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110331 - 110331
Published: May 12, 2023
Increasing urban land use eco-efficiency (ULUEE) is conducive to alleviating the human-land conflict in cities, especially densely populated and ecologically sensitive areas. ULUEE research past has been less focused on different river basins from a comparative perspective, largely ignored regional heterogeneity driving factors. Thus, this study aims compare spatiotemporal dynamics factors of Yangtze River Economic Belt (YREB) Yellow Basin (YRB) China. The was first evaluated using Slack Based Model-Undesirable, then Theil Index spatial Markov Chain were used reveal differential changes shifting direction ULUEE, followed by an analysis segments sized cities Tobit model. Results show that: (1) both YREB YRB, shows characteristic "lower reaches > middle upper reaches", however, notable differences index values are evident among basin segments. (2) exhibits spillovers convergence phenomena during its variations. (3) There significant U-shaped relationship between GDP whole YREB, but only lower YRB. Additionally, form environmental regulations have heterogeneous impacts different-sized cities. In order maintain sustainability resource management coordinate city development varying sizes, governments must take systematic approach that accounts for complexity characteristics drivers ULUEE.
Language: Английский
Citations
32Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111824 - 111824
Published: March 1, 2024
Urban land green use efficiency (ULGUE) is one of the important indicators growth, making limited resources exert optimal benefits and minimize environmental pollution, enabling development cities. This survey measures ULGUE 284 Chinese cities at prefecture level above using Super-SBM model, built around panel data from 2004 to 2021. The geographic temporal evolution features are studied ArcGIS exploratory spatio-temporal analysis (ESTDA). elements influencing assessed a spatial econometric model. It found that: (1) fluctuates rises with time but has still not achieved validity in general; regionally, west > east central, an overall roughly decreasing trend perimeter center; provincially, Beijing, Tianjin, Shanghai, Hainan basically achieve validity. (2) Each city's enthusiastic association. number dynamic local structures increases, strong dependence regional synergy be further strengthened. leap matrix indicates that most have undergone transformation cohesion. (3) Spatial modeling results highlight assisted by urbanization, industrial structure, regulation, economic development, while it hampered population density, scientific technical input, financial development. may optimized through bolstering urban collaboration, refining system, developing utilizing orderly manner, adjusting constructing system "government, industry, academia, research, application."
Language: Английский
Citations
15Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 448, P. 141461 - 141461
Published: March 8, 2024
Language: Английский
Citations
15Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 102, P. 105174 - 105174
Published: Jan. 5, 2024
Language: Английский
Citations
11Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 94, P. 104551 - 104551
Published: March 22, 2023
Language: Английский
Citations
21