Sustainable Transformation: The Impact of Climate Risk Perception on Corporate Operational Resilience in China

Sustainability, Год журнала: 2025, Номер 17(8), С. 3387 - 3387

Опубликована: Апрель 10, 2025

Enhancing corporate operational resilience is a core element in responding to escalating climate change risks and achieving sustainable development. Based on dynamic capabilities theory, this paper utilizes data from A-shared listed companies between 2012 2023 explore how risk perception influences China identify the specific mechanisms underlying relationship. The study found significant positive relationship resilience. A mechanism analysis indicated that increased enhanced by alleviating financing constraints, promoting technological innovation, improving internal control quality. heterogeneity revealed effect of was more pronounced located central western regions high-pollution industries. findings offer new perspectives empirical evidence for understanding micro-dynamics transformation.

Язык: Английский

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Research on the Spatiotemporal Characteristics and Influencing Mechanisms of Sustainable Plateau Urban Building Carbon Emissions: A Case Study of Qinghai Province

Buildings, Год журнала: 2025, Номер 15(8), С. 1307 - 1307

Опубликована: Апрель 16, 2025

Buildings account for 39% of global carbon emissions, making the construction sector a pivotal contributor to climate change. In ecologically fragile plateau regions, tension between urban development and environmental sustainability poses significant challenge. This study examines spatiotemporal characteristics influencing mechanisms building emissions (BCEs) in cities using an empirical analysis 13-year panel data (2010–2022) from two municipalities six prefectures Qinghai Province, China. By employing eXtreme Gradient Boosting (XGBoost) model, we comprehensively assess drivers across four dimensions: socioeconomic structure, demographic factors, expansion patterns, climatic topographic attributes. Key findings include: (1) The XGBoost model exhibits robust predictive performance (R2 > 0.9, MSE < 0.1, RMSE 0.3), validating its effectiveness systems. (2) Socioeconomic structure significantly positively influence with GDP, per capita built-up areas being particularly influential. (3) interaction terrain increases buildings. (4) While is common factor affecting BCEs different types buildings, other such as population density, housing area, shape index, exhibit variability. These insights inform policy recommendations cross-regional flow balancing adaptive low-carbon planning strategies tailored ecosystems.

Язык: Английский

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The Urban Renewable Energy Transition: Impact Assessment and Transmission Mechanisms of Climate Policy Uncertainty

Energies, Год журнала: 2025, Номер 18(8), С. 2089 - 2089

Опубликована: Апрель 18, 2025

The transition to renewable energy is a critical pathway for achieving low-carbon development and addressing global climate change problems. Therefore, we expand the conventional province-level balance table urban level, providing refined assessment tool evaluating (RET). This study investigates impact of policy uncertainty (CPU) on RET explores underlying mechanisms. findings reveal that CPU significantly inhibits RET, with this effect being particularly pronounced in non-capital inland cities. mechanisms through which hinders include exacerbating capital labor misallocation suppressing industrial structure upgrading. Furthermore, moderation model indicates high-intensity government supervision low public environmental awareness exacerbate negative RET. Our provide governments adopting forward-looking policies mitigate adverse effects transition.

Язык: Английский

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Does renewable energy technology innovation achieve the synergistic effect of pollution and carbon reduction?

Renewable Energy, Год журнала: 2025, Номер unknown, С. 123329 - 123329

Опубликована: Май 1, 2025

Язык: Английский

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