Decomposition and Decoupling Analysis of Carbon Emissions in Xinjiang Energy Base, China

China faces a difficult choice of maintaining socioeconomic development and carbon emissions mitigation. Analyzing the decoupling relationship between economic its driving factors from regional perspective is key for Chinese government to achieve 2030 emission reduction target. This study adopted logarithmic mean Divisia index (LMDI) method Tapio index, decomposed forces decoupling, measured sector’s states in Xinjiang province, China. The results found that: (1) Xinjiang’s increased 93.34 Mt 2000 468.12 2017. Energy-intensive industries were body Xinjiang. (2) activity effect played decisive factor increase, which account 93.58%, 81.51%, 58.62% during 2000–2005, 2005–2010, 2010–2017, respectively. energy intensity proved dominant influence mitigation, accounted −22.39% increase 2000–2010. (3) Weak (WD), expansive coupling (EC), negative (END) strong (SND) identified 2001 Gross domestic product (GDP) per capita elasticity has major inhibitory on decoupling. Energy driver Most have not reached state Fuel processing, power generation, chemicals, non-ferrous, iron steel mainly shown END EC. On this basis, it suggested that local governments should adjust industrial structure, optimize consumption promote conservation tap potential mitigation sectors.