Based on the hypothetical extraction model, this paper divided the economic activities into several types and explored the transfers of energy embodied in the inter-industry from the supply side and demand side. Taking Guangdong Province as an example, this paper built the energy linkage model, and evaluated the differences of industrial energy consumption between supply side and demand side. According to the results of characteristic analysis, there were more energy consumed in Non-Energy Industrial Sectors, which were the main contributors of the enormous industrial energy consumptions of Guangdong, accounting 57.2% of the total energy consumption of the economic activities in 2012. As for the linkage analysis, the energy industries and the transport sectors, the storage and post sectors were net energy suppliers, while the construction sectors and other service sectors were net energy demanders. The agriculture sectors and wholesale, retail trade and hotel, restaurants sectors show relatively balanced according to the supply side and demand side. From the dynamic analysis of annual changes, the proportion of embodied energy within the energy industries increased from 8.55% in 2002 to 24.67% in 2012 of the total embodied energy transferred, indicating of more efficient use of energy in Guangdong Province during last decade.
陈磊, 徐琳瑜. 基于行业关联研究的广东省能源消费分析[J]. 中国环境科学, 2017, 37(10): 3972-3980.
CHEN Lei, XU Lin-yu. Energy consumption of Guangdong based on the industry linkage analysis. CHINA ENVIRONMENTAL SCIENCECE, 2017, 37(10): 3972-3980.
Zhang Y, Wang H, Liang S, et al. Temporal and spatial variations in consumption-based carbon dioxide emissions in China[J]. Renewable and Sustainable Energy Reviews, 2014,40:60-68.
[6]
Rodrigues J O, Marques A, Wood R, et al. A network approach for assembling and linking input-output models[J]. 2016,28(4):518-538.
Wang Y, Wang W, Mao G, et al. Industrial CO2 emissions in China based on the hypothetical extraction method:Linkage analysis[J]. Energy Policy, 2013,62:1238-1244.
[26]
Zhao Y, Zhang Z, Wang S, et al. Linkage analysis of sectoral CO2 emissions based on the hypothetical extraction method in South Africa[J]. Journal of Cleaner Production, 2015,103:916-924.
[27]
Ali Y. Measuring CO2 emission linkages with the hypothetical extraction method (HEM)[J]. Ecological Indicators, 2015,54:171-183.
Yue W, Cai Y, Xu L, et al. Adaptation strategies for mitigating agricultural GHG emissions under dual-level uncertainties with the consideration of global warming impacts[J]. Stochastic Environmental Research & Risk Assessment, 2016:1-19.
