Exploring The Carbon Emissions Of Industrial Sub-regions In Chinese Provinces Based On Spectral Clustering And LMDI

With the continuous advancement of China’s industrialization process,industrial carbon dioxide（CO₂）emissions are increasing year by year,and the damage to the environment has become more serious.This will not only affect the economic development of China’s industry,but also affect China’s low carbon development.Due to the different levels of industrial development in various provinces in China,the low energy efficiency and the burning of fossil fuels dominated by coal have seriously restricted the development of China’s low carbon economy.When formulating industrial carbon emission reduction policies,China should make appropriate adjustments according to different provinces,and formulate corresponding emission reduction policies according to the industrial development level of each province.This requires understanding the carbon emission influencing factors of each province.Therefore,this paper studies the spatial differences between the factors affecting industrial carbon dioxide emissions in various provinces,and classifies and analyzes industrially similar provinces and learns from each other’s industrial development experience.This paper combines two-layer LMDI（logarithmic mean divisia index）method and spectral clustering to analyze industrial CO₂ emission drivers in 30 provinces of China and analyzes the contribution of industrial CO₂ emissions influencing factors in each classification area.And this paper proposes carbon reduction policies.First,each province’s industrial CO₂ emission factors are decomposed into energy structure,energy intensity,industrialization level,per capita GDP and total population;energy intensity and per capita GDP play a dominant role in suppressing and promoting industrial CO₂ emissions,respectively.The industrialization level has gradually developed from the eastern coastal areas to the north and the central and western regions,especially Inner Mongolia,Jilin,Henan and Sichuan.The impact mechanisms of the provinces on China’s industrial CO₂ emissions are very different from temporal and spatial angle.From a spatial perspective,the paper analyzes the spatial changes of industrial CO₂ emissions,energy intensity and industrialization levels in various provinces,that is,CO₂ emissions are mainly concentrated in the central and eastern regions,especially the eastern region;the level of industrialization will gradually shift from the Bo-hai Rim region to provinces such as Inner Mongolia and Jilin.Second,this paper optimizes spectral clustering though geodesic distance and utilizes it to cluster 30 provinces into six categories.The paper uses LMDI method to analyze the contribution factors of industrial CO₂ emissions in each cluster.The conclusion is that energy intensity and per capita GDP play a leading role in suppressing and promoting regional industrial CO₂ emissions,respectively.Compared with other regions,the level of industrialization has the largest impact on promoting industrial CO₂ emissions in the second and fourth clusters,moreover,with the change of time,it has increased and then has decreased slowly.Finally,based on the characteristics of industrial CO₂ emissions and clustering results,more targeted carbon emission reduction strategies are proposed.Therefore,the formulation of carbon emission reduction policies should not only consider the surface characteristics of industrial CO₂ emissions,but also explore the root causes of industrial CO₂ emissions.