2016
DOI: 10.1007/s11069-015-2096-9
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Contrastive analyses of the influence factors of interprovincial carbon emission induced by industry energy in China

Abstract: As a major contributor of carbon emission in the world, China should focus on the balance between the universality of development and regional heterogeneity of carbon discharge during the transformation toward low-carbon economy. To reveal the differences among interprovincial industry energy's carbon emissions, some relevant data of carbon emissions in 29 provinces and municipalities during the period of 1996-2012 are selected in this study. Based on the Logarithmic Mean Divisia index decomposition model and … Show more

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Cited by 13 publications
(3 citation statements)
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“…Moreover, the impact of the same influencing factors on carbon emissions varies across different regions. For instance, Chinese scholars such as Niu [113], Zhou [114], and Zhang [115] separately investigated the influence of economic levels, population, and industrial structure on carbon emissions in different regions.…”
Section: Review Of Research Results On Carbon Emission Difference Ana...mentioning
confidence: 99%
“…Moreover, the impact of the same influencing factors on carbon emissions varies across different regions. For instance, Chinese scholars such as Niu [113], Zhou [114], and Zhang [115] separately investigated the influence of economic levels, population, and industrial structure on carbon emissions in different regions.…”
Section: Review Of Research Results On Carbon Emission Difference Ana...mentioning
confidence: 99%
“…However, on considering many historical, geographical and cultural factors, Chinese provinces are geographically established. Some scholars classified Chinese provinces into several groups with the methods of k-means clustering, system clustering, met frontier DEA clustering, and fuzzy PSO clustering [38][39][40][41]. In order to demonstrate the necessity of zoning, more researchers began to take economic zones, national development strategies and regional development strategies as the fundamental basis for their zoning plans.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Gunther et al [16] quantified the carbon footprint of cotton production in Xinjiang, and analyzed the spatial and temporal differences and driving factors of agricultural carbon emissions in Xinjiang. Zhou et al [17] calculated the carbon emissions from thermal power industry in Xinjiang. Cui et al [18] studied the spatial pattern of industrial carbon emissions in prefecture-level cities in Xinjiang.…”
Section: Introductionmentioning
confidence: 99%