Bioresource Technology, Journal Year: 2024, Volume and Issue: unknown, P. 131897 - 131897
Published: Nov. 1, 2024
Language: Английский
Bioresource Technology, Journal Year: 2024, Volume and Issue: unknown, P. 131897 - 131897
Published: Nov. 1, 2024
Language: Английский
Energy Research & Social Science, Journal Year: 2024, Volume and Issue: 112, P. 103521 - 103521
Published: March 25, 2024
Language: Английский
Citations
19Sustainability, Journal Year: 2025, Volume and Issue: 17(5), P. 2312 - 2312
Published: March 6, 2025
Current evaluations of carbon emission efficiency in China’s provincial power industry often neglect the impact transfers from inter-regional transmission, leading to biased assessments that hinder sustainable development energy transition. To address this, we propose an advanced evaluation model incorporates a multi-regional input–output (MRIO) framework, refining CO2 calculations and correcting parameter deviations slack-based measure (SBM) model. This improves both precision fairness assessments. We apply MRIO-SBM evaluate across 30 provinces China for 2012, 2015, 2017, revealing on efficiency. The results indicate incorporating MRIO SBM evaluations. Significant regional disparities are observed: eastern coastal regions achieve higher efficiencies, while northeastern western typically exhibit lower values, ranging 0.5 0.7. Efficiency must account transfer dynamics, as these can lead overestimations by up 19% electricity-importing underestimations approximately 10% electricity-exporting regions. Furthermore, findings emphasize need foster low-carbon cross-regional collaboration promote industry.
Language: Английский
Citations
0Heliyon, Journal Year: 2024, Volume and Issue: 10(3), P. e25132 - e25132
Published: Jan. 26, 2024
Achieving carbon peaking and neutrality are important issues for global climate governance. The study of emission efficiency in China's provincial regions is practical significance the country to achieve goals. Based on framework Technology-Organization-Environment (TOE), choosing technological progress, economic development, industrial structure, energy prices, trading market as condition variables, collecting panel data from 30 provinces China 2010 2020, mixed Necessary Condition Analysis (NCA) fuzzy set Qualitative Comparative (fsQCA) was used explore complex influence mechanism efficiency. findings indicate: (1) none single conditions necessary effect efficiency, but technology plays an role supporting improvement (2) There four recipes which summarized into modes: Technology-Organization dual core modes, Environment core-Organization support linkage Organization core-Technology modes. Among them, recipe covers largest number provinces, indicating that developed it accelerate innovation, make deep integration development promote adjustment thereby improving (CEE). This contributes literature by providing a new theoretical perspective based TOE analysis framework, strategies optimize combination according their endowment.
Language: Английский
Citations
2Environmental Research, Journal Year: 2024, Volume and Issue: 261, P. 119678 - 119678
Published: July 26, 2024
Language: Английский
Citations
1Ecological Informatics, Journal Year: 2024, Volume and Issue: 83, P. 102837 - 102837
Published: Oct. 5, 2024
Language: Английский
Citations
0Bioresource Technology, Journal Year: 2024, Volume and Issue: unknown, P. 131897 - 131897
Published: Nov. 1, 2024
Language: Английский
Citations
0