
Sustainable Futures, Journal Year: 2024, Volume and Issue: unknown, P. 100400 - 100400
Published: Dec. 1, 2024
Language: Английский
Sustainable Futures, Journal Year: 2024, Volume and Issue: unknown, P. 100400 - 100400
Published: Dec. 1, 2024
Language: Английский
Environmental Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 12
Published: March 4, 2025
The purpose of this study is to investigate and compare the ICT sector's carbon emission responsibility under production-based (PBA), consumption-based (CBA), income-based accounting principle (IBA) shared-responsibility approach (SRA), focusing on case China. We utilise environmentally extended multiregional input-output (EE-MRIO) model based China's 2012 2017 provincial MRIO table. empirical finding demonstrate that responsibilities assigned sector CBA greater than those SRA, IBA PBA. Regional emissions are highly concentrated PBA IBA. absolute amount increased all method, but increase in national share varied significantly. inter-sectoral transfer pattern, shows exhibits dual lock-in effects, demonstrates strong supply-chain dependencies, upstream procurement anchored energy-intensive sectors (S23, S14, S13), while downstream consumption path-dependent concentration S23, S29. Inter-regional significant regional heterogeneity. In economically developed provinces like Guangdong, Beijing Zhejiang, has a downstream-pushing effect notable upstream-pulling other regions. Conversely, less northeastern northwestern provinces, sector, mainly serving local consumption, leads minimal effect. These results provide supportive references for China develop more integrated policies, supporting common differentiated reduction targets.
Language: Английский
Citations
0Energy, Journal Year: 2024, Volume and Issue: unknown, P. 133886 - 133886
Published: Nov. 1, 2024
Language: Английский
Citations
1Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11259 - 11259
Published: Dec. 22, 2024
In this study, we aim to construct an evaluation system accurately measure the development status and trends of China’s new quality productivity, which is pivotal for sustainable Chinese economy. light current lack a standardized index precise measurement methods, have established comprising three dimensions—scientific technological innovation, industrial upgrading, factor transformation—in alignment with essence traits productivity. By combination entropy method multi-period weights, assess level productivity across 31 provinces from 2013 2022. The findings reveal following: (1) Substantial regional disproportions exist among in advancement Shanghai Beijing demonstrating notable first-mover advantage. (2) While levels most are generally modest, overall positive trajectory observed. Drawing upon these outcomes, set targeted strategies put forward, such as leading scientific promoting realizing transformation elements. This article can enhance our understanding spatiotemporal pattern offering novel theoretical framework practical approach fostering tailored unique circumstances. Consequently, it may facilitate promotion economic sustainability.
Language: Английский
Citations
1Sustainable Futures, Journal Year: 2024, Volume and Issue: unknown, P. 100400 - 100400
Published: Dec. 1, 2024
Language: Английский
Citations
0