Nexus among government digital development, resource dependence, and carbon emissions in China

Resources Policy, Journal Year: 2024, Volume and Issue: 95, P. 105186 - 105186

Published: June 22, 2024

Language: Английский

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Government-Supported Alliances, Knowledge Networks, and Exploratory Innovation

Journal of the Knowledge Economy, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 10, 2025

Language: Английский

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Advancing Environmental Innovation and Digital Integration in China's Mining Industry

Geological Journal, Journal Year: 2025, Volume and Issue: unknown

Published: March 30, 2025

ABSTRACT This study examines the relationship between environmental innovation and digital integration in improving sustainability performance within China's mining industry, a key global resource supplier facing significant challenges. Using firm‐level panel data from 2020 to 2022, sourced China National Bureau of Statistics, Ministry Industry Information Technology, corporate disclosures patent databases, we employ dynamic model estimated via generalised method moments (GMM) address endogeneity concerns. The findings reveal that significantly enhances by reducing emissions, energy efficiency optimising waste management. However, alone shows negative impact, suggesting its benefits may not inherently align with objectives. Notably, interaction demonstrates synergistic effect, where tools enhance effectiveness green innovations. Policy support further strengthens this relationship, highlighting importance subsidies, tax incentives regulatory measures driving sustainability. These insights provide valuable guidance for policymakers industry stakeholders transformation goals, ensuring long‐term resource‐intensive industries. Our contributes theoretical empirical understanding innovation‐technology interactions sector, offering broader implications transitions.

Language: Английский

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Evaluating Provincial Resilience to Climate Change in China Using a Hybrid ANP‐ANN‐PROMETHEE‐GAIA Framework

Geological Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 29, 2025

ABSTRACT The increasing frequency and severity of climate‐induced disruptions necessitate robust methodologies for assessing regional resilience. This study introduces a hybrid analytical framework integrating the Analytic Network Process (ANP), Artificial Neural Networks (ANN) PROMETHEE‐GAIA to systematically evaluate climate resilience across Chinese provinces. Resilience is assessed through three dimensions: exposure, sensitivity adaptive capacity, each comprising multiple sub‐criteria informed by expert inputs literature review. ANP models interdependencies among factors, while ANN validates assigned weights, ensuring methodological robustness. ranks provincial levels, providing insightful visualisations trade‐offs. findings reveal substantial disparities: coastal provinces such as Jiangsu Zhejiang exhibit higher due advanced infrastructure, economic robustness effective governance, inland regions like Qinghai Gansu demonstrate heightened vulnerabilities limited capacity dependencies on climate‐sensitive sectors. provides replicable assessments globally, offering actionable insights policymakers enhance adaptation strategies equitable resource allocation.

Language: Английский

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How digital government mediate the influence of fossil fuels on green innovation: Evidence from China's a-share industrial enterprises

Resources Policy, Journal Year: 2024, Volume and Issue: 91, P. 104958 - 104958

Published: March 30, 2024

Language: Английский

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