Regional Sustainability, Год журнала: 2024, Номер 5(3), С. 100159 - 100159
Опубликована: Сен. 1, 2024
Язык: Английский
Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 106029 - 106029
Опубликована: Дек. 1, 2024
Язык: Английский
Процитировано
7
Frontiers in Earth Science, Год журнала: 2025, Номер 13
Опубликована: Янв. 30, 2025
Introduction The coupling and coordination development level (CCDL) of science technology innovation (STI) between universities enterprises is a key determinant the effectiveness national STI system. Methods This study utilized data from industrial spanning 2012 to 2021 establish an indicator system for measuring university ability enterprise ability. then applied entropy TOPSIS method calculate scores further analyzed them using model. Various research methods were employed quantify spatiotemporal characteristics elucidate patterns evolution, with grey relational analysis model being examine mutual influence at micro-index level. Results discussion found significant transformation in collaboration China, shifting extreme incoherence highly coordinated cooperation. Secondly, reason differences uneven four regions. Thirdly, CCDL each region notably different, but all show σ convergence trend. Finally, are identified as factors enterprises.
Язык: Английский
Процитировано
0
Land, Год журнала: 2025, Номер 14(4), С. 709 - 709
Опубликована: Март 26, 2025
Urban agglomeration ecosystems are impacted by human activities and natural disasters, so analyzing the spatial temporal evolution of landscape ecological resilience from perspective adaptive cycling is crucial. Using Changsha–Zhuzhou–Xiangtan urban in China as a case study, this research constructs “Risk-Potential-Connectivity” framework to evaluate resilience. This applies exploratory data analysis methods examine spatiotemporal associated patterns Geodetector model measure driving factors variation. study an cycle based on analysis, integrating potential connectivity indices classify development stages regions dynamically. The results showed that overall distribution pattern risk decreased center outward, whereas increased. average index 2000 2020 was 0.31, with declining trend shifting gravity northwest southeast. toughness exhibited high low aggregation, Moran greater than 0.75. Land-use intensity had strongest explanatory power (q = 0.3662) for differentiation drivers joint effects factor interaction higher single factors. Adaptive revealed Furong District protection stage, Xiangtan County Liling City reorganization no region yet release stage. findings offer better understanding interactive adaptation characteristics evolutionary social-ecological systems over extended periods, providing scientific support formulation strategies respond dynamic changes ecosystems.
Язык: Английский
Процитировано
0
Land Use Policy, Год журнала: 2025, Номер 154, С. 107572 - 107572
Опубликована: Апрель 21, 2025
Язык: Английский
Процитировано
0
Frontiers in Environmental Science, Год журнала: 2025, Номер 13
Опубликована: Апрель 22, 2025
The wellbeing eco-efficiency (WEE) is a core indicator for assessing the quality of regional ecological environment and people’s livelihood. Clarifying its spatial temporal dynamic evolution network structure characteristics crucial promoting protection high-quality development in entire Yellow River Basin (YRB). Based on panel data 99 cities YRB from 2010 to 2022, WEE measured by introducing into evaluation system eco-efficiency. spatial-temporal dynamics, disparities, their origins, as well structural attributes network, are investigated. results showed that: First, YRB, upper, middle, lower reaches have been improved, showing stage “steady growth-fluctuation decline-rapid growth,” technological progress main driving force efficiency growth. Second, absolute difference whole middle shows an expanding trend, upper show decreasing trend. inter-regional differences hypervariable density sources differences. Third, has broken geographical location restrictions formed multi-threaded complex form. During sample investigation period, scale agglomeration continuously enhanced, small-world correlation effect significant. Forth, regarding small group characteristics: reaches’ “wheeled” centered Longnan; forms “chain” with Yulin, Xi’an, Ankang cores; exhibits “dual-core multi-center radial” Heze Zhengzhou at core, featuring significant two-way interactions.
Язык: Английский
Процитировано
0
Heliyon, Год журнала: 2024, Номер 10(10), С. e31456 - e31456
Опубликована: Май 1, 2024
The complex global context, including globalization, rapid urbanization, and climate change, poses significant challenges to urban stability development. Balancing land use efficiency resilience is crucial for sustainable progress. Focusing on the vulnerable Yellow River Basin (YRB), this study examines interplay between efficiency. Panel data from 2013 2020 54 cities in YRB were used, it quantifies Coupling Coordination Degree of Urban Resilience Land Use Efficiency (CCDUU), explores its spatiotemporal evolution influencing factors. Key findings include: CCDUU exhibits a sustained discernible growth trend. Notably, higher downstream areas comparison middle reaches, reaching lowest point upstream areas; however, increase surpasses that observed other regions. Concurrently, regional disparities are diminishing. Despite presence notable positive spatial correlation within YRB, strength association not sufficiently robust. Of paramount importance factor role innovation, which significantly influences enhancement CCDUU. Following closely degree openness, whereas effects government support population density concentrated predominantly upper region. In contrast, urban-rural disparity exerts an adverse impact most Policy recommendations enhancing include strengthening planning control, particularly regions, achieve efficient resource utilization environmental protection. Implementing management policies, encouraging rational movement, promoting migration can alleviate pressure cities. Enhancing attracting foreign investment, innovation industrial upgrading will drive economic structural upgrades improve
Язык: Английский
Процитировано
3
Ecological Indicators, Год журнала: 2024, Номер 166, С. 112284 - 112284
Опубликована: Июнь 26, 2024
Язык: Английский
Процитировано
3
Environmental Research Communications, Год журнала: 2024, Номер 6(8), С. 085022 - 085022
Опубликована: Авг. 1, 2024
Abstract The urban heat island (UHI) environment is closely related to the daily life of residents, and impact UHI further expanding in era rapid urbanization, which particularly obvious Beijing-Tianjin-Hebei agglomeration Guangdong-Hong Kong-Macao Greater Bay Area (GBA). To explore connection between expansion, this study takes GBA as area, based on Google Earth Engine platform Landsat satellite data. urban-rural temperature difference method was used analyze zoning from 2000 2020, direction type expansion were investigated by standard deviation ellipse LEI, link region through geospatial analysis methods. results show that: (1) proportion area strong extreme islands 37.64% 2000; 38.61% 2005; 47.07% 2010; 55.76% 2015; finally 59.69% 2020. regions period 2020 showed an overall increasing trend, with largest increase 2015 (2) intensity 32% both 2000–2005 2005–2010, significantly higher than 9% 2010–2015, then increases 24 per cent 2015–2020. speed movement centroids decreases 2000–2015 first 5 years dominated northeast, latter 15 generally southwest, fringe type, enclave accounting for a smaller proportion. (3) Pearson correlation confirms that there significant positive sprawl effect, coefficient 0.78 p-value 0.041. There high degree spatial consistency distribution built-up areas GBA, evolution same general, thermal response marginal ground surface stronger expansion.
Язык: Английский
Процитировано
2
Ecological Indicators, Год журнала: 2024, Номер 166, С. 112285 - 112285
Опубликована: Июль 1, 2024
Язык: Английский
Процитировано
1
Regional Sustainability, Год журнала: 2024, Номер 5(3), С. 100159 - 100159
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
0