The Spatiotemporal Decoupling Relationship between Economic Development, Energy Consumption, and Carbon Dioxide Emissions in Xinjiang Province from 2006 to 2020

Abstract

Understanding the spatiotemporal decoupling effects among economic development, energy consumption, and carbon dioxide emissions is paramount to achieving sustainable development. This relationship sheds light on how regions can grow economically while managing their energy resources efficiently and minimizing environmental impacts. This study examines the critical and globally relevant issue of spatiotemporal decoupling that includes economic development, energy consumption, and carbon dioxide emissions in Xinjiang Province from 2006 to 2020. The Tapio Elasticity Analysis Method is utilized to achieve this objective. We found that the early years showed expansive coupling, reflecting a phase where economic growth was closely tied to increases in energy consumption and emissions. However, over time, particularly post-2010, there is a noticeable shift towards weak decoupling and eventually to more substantial forms of decoupling. The primary sector displayed mostly weak and strong decoupling. The secondary sector, however, showed fluctuating decoupling states. In the tertiary sector, a generally weak decoupling was observed. A spatial analysis across Xinjiang’s prefectures and cities revealed pronounced regional variations. This investigation validates the effectiveness of regional ecological policies and illustrates the necessity of tailored strategies to foster sustainable development. Our findings provide valuable insights not only for regional policymakers but also for international stakeholders aiming to achieve sustainable development. The results underline the importance of tailored strategies in different regions, contributing to the broader understanding of sustainable development dynamics.