Shaanxi Province carbon emission

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Authors: Weiqin zhu
Cited by: 0

Abstract

Based on the carbon emission dataset for Shaanxi Province from 2000 to 2022, the study analyzes spatiotemporal evolution patterns across cities, revealing growth, stabilization, and renewal phases. The dataset, combined with nighttime light data, serves as the empirical foundation for model training, enabling the xLSTM-Informer framework to achieve superior prediction accuracy compared to mainstream time series models. Gravity model and spatial correlation analyses further identify inter-city spillover effects and emission centroid migration, providing targeted insights for regional carbon reduction strategies.

Fields of Study & Subjects

Energy Environment Economic Growth Environmental Impact and Sustainability Spatial and Panel Data Analysis

Publication details

Journal / source
Figshare
Publication date
15 March 2026
Language
EN
Document type
Dataset