Abstract
Carbon footprint is the total amount of CO2 emissions by particular product or service system in it full life cycle, or, it is the total amount of direct and indirect CO2 emissions by activity principals. There are significant differences of provincial total carbon footprint result from the different energy efficiency, final demand and input-output relationship of intermediate products. Based on the Structure Decomposition Analysis and input-output model, the differences of carbon footprint between Beijing and Tianjin are analyzed in this paper. The results show that the total carbon footprint is higher in Beijing than that in Tianjin. The effect of carbon emission intensity on carbon footprint in Beijing is lower than Tianjin by 0.008 billion tons CO2; according to the complicated relationship between industries in Beijing, there is 0.029 billion tons CO2 more the carbon footprint than Tianjin, The demand scale and structure is higher than Tianjin, So in the factors of final requirements on carbon footprint, the carbon footprint of Beijing is higher than Tianjin by 0.058 billion tons CO2.
Highlights
Carbon emissions from fossil fuel combustion for promoting economic development are regarded as the important drivers for global climate changes [1,2,3,4,5,6]
Emissions increase can be illustrated as a competition between consumption growth and efficiency improvement during 1997 to 2007
structural decomposition analysis (SDA) model based on an environmental input–output table was employed to uncover the causes of carbon dioxide emission changes in Xinjiang province during 1997 to 2007
Summary
Carbon emissions from fossil fuel combustion for promoting economic development are regarded as the important drivers for global climate changes [1,2,3,4,5,6]. The biggest emerging and developing country, has become the world’s top energy consumer and CO2 emitter after decades of rapid economic growth and rapid-pace urbanization and industrialization [7,8,9,10,11]. Under such a circumstance, Chinese government released a binding reduction target, namely to decrease carbon dioxide emissions per unit gross domestic product (GDP) in 2020 by 40%–45% compared to the 2005 level [12,13], as well as slash the intensity of carbon emissions per unit GDP by 17% in 2015 compared to the 2010 level during the. Peters et al conducted a structural decomposition analysis (SDA) to analyze how changes in technology, economic structure, urbanization, and lifestyles affected China’s growing carbon emissions from 1992 to 2002 [15], and found that infrastructure construction and urban household consumption had played big effects on total emissions, while technology and efficiency improvements have only partially offset emissions growth
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