基于消费的嵌入式碳足迹空间分异及影响因素实证研究

拓展并运用自组织特征映射(Self-Organizing Feature Map,SOFM)模型,从消费角度研究了中国城镇居民嵌入式碳足迹(Embedded Carbon Footprints,ECF)的空间分异特征,并分析了ECF的影响因素。研究发现,中国城镇居民ECF空间分异明显,呈显著的经济、地理集聚特征;人均可支配收入是ECF最主要的影响因素,城市发展模式、气候、文化等也是重要的影响因素。最后,基于研究结论给出了启示性建议。

The Spatial Differentiation and Its Factors of Embedded Carbon Footprints Based on Consumption

In essence,the carbon emissions are from consumer behavior.Controlling the carbon emissions generated in urban consumption area is an important issue to deal with the increasingly serious energy crisis and climate change problem.Using self-organizing feature map(SOFM) model,from an angle of consumer’s perspective,spatial differentiation of embedded carbon footprint(ECF) is analyzed in urban area of provinces and cities in China mainland.Study found that spatial differentiation of Chinese urban residents’ per capita ECF is manifest,showing significant economic,geographic clustering features;per capita disposable income is the most important factors,and high consumption will lead to higher emissions.In addition,urban development patterns,climate and culture are also important factors.Finally,based on these conclusions suggestions are put forward.