Digital inclusive finance, factor flow and industrial structure upgrading: Evidence from the yellow river basin

Finance research letters, Год журнала: 2024, Номер 62, С. 105141 - 105141

Опубликована: Фев. 21, 2024

Язык: Английский

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Coupling coordination analysis and obstacle factors of water-energy-environment-economy in the Yellow River Basin

Journal of Cleaner Production, Год журнала: 2024, Номер 468, С. 143108 - 143108

Опубликована: Авг. 1, 2024

Язык: Английский

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Solving the sustainable development dilemma in the Yellow River Basin of China: Water-energy-food linkages

Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 144797 - 144797

Опубликована: Янв. 1, 2025

Язык: Английский

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Exploration of the development of water-energy-food nexus and its endogenous and exogenous drivers in the Yellow River Basin, China

Journal of Environmental Management, Год журнала: 2025, Номер 378, С. 124735 - 124735

Опубликована: Март 3, 2025

Язык: Английский

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Coupling Coordination Evaluation and Optimization of Water–Energy–Food System in the Yellow River Basin for Sustainable Development

Systems, Год журнала: 2025, Номер 13(4), С. 278 - 278

Опубликована: Апрель 10, 2025

Understanding the coupling mechanisms and coordinated development dynamics of water–energy–food (WEF) system is crucial for sustainable river basin development. This study focuses on Yellow River Basin, conducting a comprehensive analysis system’s influencing factors. A structured evaluation framework established, integrating entropy weight–TOPSIS method, coordination degree model, spatial correlation analysis. Empirical conducted using data from nine provinces (regions) along 2003 to 2022 assess spatiotemporal evolution level. The Tobit regression model employed quantify impact various factors degree. Results indicate that index WEF in Basin exhibits an overall upward trend, with remaining at high level extended period, up 0.231 0.375. interdependence among three major systems strong (0.881–0.939), while has increased over time despite fluctuations, qualitative leap not yet been achieved. follows distribution pattern midstream > downstream upstream, characterized by predominantly However, frequently remains forced or below, general trend upstream. From 2008, positive autocorrelation was observed across provinces, indicating agglomeration effect. By 2022, most were clustered “high-high” “low-low” areas, reflecting minimal regional differences. Key positively include economic levels, industrial structure upgrading, urbanization, transportation networks, technological innovation negatively affects coordination. Based these findings, it recommended strengthen balanced development, optimize layout structures, improve inter-regional resource circulation mechanism, promote deep integration production practices address bottlenecks hindering system. Policy recommendations are proposed provide strategic references socioeconomic thereby achieving high-quality growth region.

Язык: Английский

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Characteristics and Influencing Factors of the Spatial and Temporal Variability of the Coupled Water–Energy–Food Nexus in the Yellow River Basin in Henan Province

Sustainability, Год журнала: 2023, Номер 15(18), С. 13977 - 13977

Опубликована: Сен. 20, 2023

The interconnection of water, energy, and food constitutes a complex intricate relationship. A comprehensive index system for the water–energy–food (WEF) nexus in Yellow River Basin (YRB) Henan Province was formulated utilizing entropy weighting analytic hierarchy process. This carried out to quantify assess evolution WEF from 2006 2020. GeoDetector employed ascertain how selected factors influenced coupled, coordinated growth nexus. Three principal findings were revealed this study. (1) value evaluation increased over study period 0.2752 0.7044, with degree coupling coordination expanding 0.5232 0.8361, indicating an overall increasing trend. (2) Significant spatial disparities across province detected Cities such as Kaifeng, Zhengzhou, Luoyang had greater degrees compared other cities, while Jiyuan demonstrated least coordination. (3) exhibited that like education expenditure, arable land area, population density individually exerted strong influence on coordination; two-factor combinations heightened effect, nonlinear relationships between factor pairs further influence. investigation offers conceptual structure planning implementing high-quality development YRB Province, thus serving essential reference local governmental decision making.

Язык: Английский

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Coordination Mechanism and Empirical Research on Marine Science Technology Innovation and Marine Eco-civilization: A Case Study of Coastal Areas of China

Chinese Geographical Science, Год журнала: 2024, Номер 34(3), С. 468 - 486

Опубликована: Янв. 25, 2024

Язык: Английский

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The coupling relationship and driving mechanism between urbanization and ecosystem services in the Yellow River Basin from a multi-spatial scale perspective

PLoS ONE, Год журнала: 2023, Номер 18(12), С. e0293319 - e0293319

Опубликована: Дек. 7, 2023

Rapid urbanization has led to ecological destruction and associated issues. Macro policies wield substantial influence over its relationship with the environment. Without considering differences in scale, macro may be ineffective at addressing urbanization's adverse impacts on environment, even worsen this relationship. We used data 622 counties, 76 prefectures, 7 urban agglomerations Yellow River Basin examine development level, coupling coordination degree, spatial patterns of ecosystem services three scales during 2000-2020. Further, we explored driving mechanisms between services. found that: First, was relatively low but showed an upward trend. A sizeable spatiotemporal difference existed, higher (lower) east (west). Second, each scale exhibited significant positive correlations. The low-value heterogeneous region embedded around agglomeration region, polarization significant. larger stronger effect. effect gradually weakened time. Third, temporal distributions characteristics different differed. overall or characteristics, prefecture county regions local unique within agglomerations. Fourth, dominant factors influencing county, prefecture, interaction factor detection linear double-factor enhancements. find that economic development, government policies, environmental protection, natural are combined effects Our research method can provide a reference for other river basins, results help governments formulating sustainable scales.

Язык: Английский

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Carrying Capacity and Coupling Coordination of Water and Land Resources Systems in Arid and Semi-arid Areas: A Case Study of Yulin City, China

Chinese Geographical Science, Год журнала: 2024, Номер 34(5), С. 931 - 950

Опубликована: Сен. 2, 2024

Язык: Английский

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Spatiotemporal evolution of vegetation phenology and its response to environmental factors in the upper and middle reaches of the Yellow River Basin

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 124970 - 124970

Опубликована: Март 15, 2025

Язык: Английский

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