Can the resource and environmental dilemma due to water-energy-carbon constraints be solved in the process of new urbanization?

Sustainable Cities and Society, Год журнала: 2024, Номер 114, С. 105748 - 105748

Опубликована: Авг. 20, 2024

Язык: Английский

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Evaluating the symbiotic interface for city-lake synergy: Evidence from Kunming city and Dianchi Lake in Southwest China (1990–2020)

Habitat International, Год журнала: 2025, Номер 156, С. 103303 - 103303

Опубликована: Янв. 18, 2025

Язык: Английский

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Spatial-temporal coupling relationship and driving factors between transportation-environment-technology-economy:A case study of the Backward U-shaped Bend Metropolitan Area in the Yellow River basin

Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100666 - 100666

Опубликована: Март 1, 2025

Язык: Английский

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Water system sustainability of China’s Yellow River Basin: A Refactoring and integrated evaluation based on the sustainable development Goal 6

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113396 - 113396

Опубликована: Апрель 1, 2025

Язык: Английский

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Comprehensive evaluation of “Three Waters” carrying capacity and path evolution study: A case of the Yellow River Basin

The Science of The Total Environment, Год журнала: 2024, Номер 951, С. 175464 - 175464

Опубликована: Авг. 11, 2024

Язык: Английский

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Exploration of Ecosystem Asset-Economy Coupling Coordination and Its Endogenous and Exogenous Drivers in Mountainous Regions

Journal of Cleaner Production, Год журнала: 2024, Номер 486, С. 144460 - 144460

Опубликована: Дек. 17, 2024

Язык: Английский

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A Composite Urban Blight Identification and Evaluation Index (CUBIE): A Systems-Driven Approach Based on Empirical Evidence from Kolkata, India

Social Indicators Research, Год журнала: 2024, Номер unknown

Опубликована: Дек. 23, 2024

Язык: Английский

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Temporal and Spatial Analysis of Coupling Coordination in Beijing–Tianjin–Hebei Urban Agglomeration: Ecology, Environment and Economy

Land, Год журнала: 2024, Номер 13(4), С. 512 - 512

Опубликована: Апрель 13, 2024

With the rapid growth and development of urban areas, economy has often been prioritized at expense environment ecological systems. However, it is essential to delve deeper into relationship between environment. Therefore, this study introduces a comprehensive evaluation system that encompasses economic, ecological, environmental factors in Beijing–Tianjin–Hebei agglomeration China. The Criteria Importance Through Inter-criteria Correlation (CRITIC) method utilized determine weights various indicators, coupling as well coordination models are employed investigate spatiotemporal trends interrelationships three factors. results indicate economic index displayed consistent uptrend since 2000, with from 2015–2020 increasing by approximately four times compared 2000–2005. status also increased last five years, rise about 0.05 fluctuated but generally increased, 5.6 degree relatively high, intense 2005–2020, moderate Furthermore, continuously improved mild maladjustment barely coordinated 2000 2020, indicating enhancement It crucial acknowledge there exists spatial heterogeneity both degree. This stems uneven progress development, conditions, across cities. Additional endeavors required foster harmonized advancement these entire region.

Язык: Английский

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The Net Value of Farmland Ecosystem Services in China: Integrating Internality and Externality

Опубликована: Янв. 1, 2024

Farmland ecosystems provide myriad ecosystem services (ESs) that are essential to the continued existence and well-being of humans. However, traditional evaluations farmland ESs only consider total economic benefit agricultural products value for positive externalities, without considering cost negative externalities. Therefore, this study integrates internal external cost–benefits propose a framework calculating net service (NVES) from using meta-analysis based on 1,782 observations sourced 278 studies in China. We find newly created NVES accurately reflect values both nature human society. Moreover, meta-regressions indicate valuing specific separately is better than taking multiple together. A range drivers could influence meta-regressions, including geographic location, soil characteristics, education level, farmers' income, evaluating method employed. The results show generate an average 1,775.21 USD/ha/a China, 465.85 1,309.36 USD/ha/a. significantly varies across regions, gradually decreasing east west, even with some parts west. Furthermore, relationships between internalities externalities coordinated eastern regions while trade-offs exist In brief, evaluation can be considered as promising tool assess sustainability dimensions, which helpful optimizing land use at regional level achieving higher efficiency services.

Язык: Английский

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Unveiling key drivers of economy-water system and transforming water use pattern into sustainable development: Inner-Shaan-Ning region in the Yellow River Basin

Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 143651 - 143651

Опубликована: Сен. 1, 2024

Язык: Английский

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