Examining the Driving Factors of Urban Residential Carbon Intensity Using the LMDI Method: Evidence from China’s County-Level Cities

摘要: Improving carbon efficiency and reducing intensity are effective means of mitigating climate change. Carbon emissions due to urban residential energy consumption have increased significantly; however, there is a lack research on intensity. This paper examines the spatiotemporal variation in sector during 2001–2015, then identifies causes by utilizing logarithmic mean Divisia index (LMDI) with help Microsoft Excel 2016 for 620 county-level cities 30 Chinese provinces. The results show that high mainly found large cities, such as Beijing, Tianjin, Shanghai. However, these showed downward trend In terms influencing factors, per capita, sprawl, land demand three most influential factors determining changes effect capita increases intensity, its impact higher municipal districts provincial capital than other types cities. Similarly, sprawl also promotes degree influence appears expansion plateaus, decreases. land-demand reduces clearly stronger big Our findings lowering optimizing land-use structure reasonable direction efforts, effects differences should be paid more attention reduce