The spillover effect of economic institutions on the environment: A global evidence from spatial econometric analysis

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123645 - 123645

Опубликована: Дек. 16, 2024

This study examines the impact of economic institutions on ecological footprint and their spatial spillover effects globally, covering period from 2000 to 2021. We focus because that espouse freedom are essential for safeguarding environmental quality. hypothesize influence these varies both globally regionally. The Moran's I test reveals significant associations among countries, while Wald likelihood tests identify Durbin model as most appropriate approach. Furthermore, Hausman indicates a fixed best captures coefficients. Globally, demonstrate direct reduction effect 16.4% 4.4% footprint. However, show considerable regional variation. In North America, East Asia Pacific, Middle East, Africa, Europe, Central Asia, effectively reduce footprint, is negligible in other regions. These differences underscore importance addressing institutional deficiencies, encouraging policymakers regions with limited learn practices enhance effectiveness. insights collectively advance literature economics, emphasizing policy adaptation transboundary findings further reveal moderate GDP per capita curb significantly. conclusions hold even after endogeneity using generalized two-stage least squares method. recommends policies promoting mitigate global degradation.

Язык: Английский

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From regional imbalances to latecomer advantage: Phosphorus pollution and economic development in the Yangtze economic belt

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113423 - 113423

Опубликована: Апрель 1, 2025

Язык: Английский

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Investigation of Industrial Structure Upgrading, Energy Consumption Transition, and Carbon Emissions: Evidence from the Yangtze River Economic Belt in China

Sustainability, Год журнала: 2025, Номер 17(10), С. 4383 - 4383

Опубликована: Май 12, 2025

The Yangtze River Economic Belt, a key growth driver in China, faces energy-carbon challenges. Analyzing the impact of industrial restructuring on energy transition and emission reduction is crucial for its low-carbon transformation. This study first analyzed spatiotemporal patterns carbon emissions, intensity, structure decarbonization across YREB provinces from 2005 to 2021, then quantified impacts upgrading these dimensions by using spatial Durbin model with panel data, revealing heterogeneity mechanisms. Results show that: (1) U-shaped relationship exists between both intensity decarbonization, while it significantly lowers regional emissions; (2) analysis indicates effects intensify toward downstream regions, being pivotal mid-upstream mitigation. Accordingly, region-specific strategies are proposed: upstream areas should prioritize high-carbon substitution, ecological compensation, technological support; midstream regions adopt targeted policies green relocation efficiency enhancements accelerate upgrading; leverage innovation incentives service-driven restructuring. provides theoretical foundations tailored actionable insights achieving YREB’s development goals.

Язык: Английский

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Beyond the Resource Curse: Leveraging Artificial Intelligence to Enhance Green Development Welfare

Journal of Cleaner Production, Год журнала: 2024, Номер 482, С. 144142 - 144142

Опубликована: Ноя. 8, 2024

Язык: Английский

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