Carbon sources/sinks analysis of land use changes in China based on data envelopment analysis. (10th December 2018)

• Record Type: Journal Article
• Authors: Zhang, Pengyan; He, Jianjian; Hong, Xin; Zhang, Wei; Qin, Chengzhe; Pang, Bo; Li, Yanyan; Liu, Yu
• Is Part Of: Journal of cleaner production. Volume 204(2018)
• Page Start: 702
• Page End: 711
• Publication Date: 2018-12-10
• Subjects: Carbon emission efficiency -- Land use changes -- DEA -- China; Factory and trade waste -- Management -- Periodicals; Manufactures -- Environmental aspects -- Periodicals; Déchets industriels -- Gestion -- Périodiques; Usines -- Aspect de l'environnement -- Périodiques; 628.5
• DOI: 10.1016/j.jclepro.2018.08.341
• Languages: English
• ISSNs: 0959-6526

Abstract

Abstract: China's recent rapid socioeconomic development has caused its land use patterns to evolve rapidly. Land use changes are significantly influencing carbon emissions in China. Thus, assessing carbon emissions from land use change patterns is significant for sustainable socioeconomic and ecological development. This study applied a geographic information system and data envelopment analysis (DEA) to estimate provincial-level carbon emission efficiency in China during 1999–2014. The results indicate that China's total carbon emissions and carbon sequestration from land use showed annual rising trends but with an increasing difference in growth. At provincial level, the highest provincial emissions were 3–4 times greater than the lowest. In addition, carbon sources increased 20 times faster than carbon sinks. The contribution of carbon emissions from construction land to total carbon emissions was greater than 90%, also, the contribution of carbon sinks from forest land to total carbon sinks was greater than 90%; Carbon emissions were most intensive in Northeast China, and they gradually decreased in a radiating pattern to the north, west, and south. Among 31 provinces, only Qinghai, Inner Mongolia, Yunnan, Guangxi, and Heilongjiang showed effective reductions in carbon emissions. The spatial disparities in carbon emissions were likely due to differences in technological efficiency and scale of operation.