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Contributing to local policy making on GHG emission reduction through inventorying and attribution: A case study of Shenyang,China
Authors:Fengming Xi  Yong Geng  Xudong Chen  Yunsong Zhang  Xinbei Wang  Bing Xue  Huijuan Dong  Zhu Liu  Wanxia Ren  Tsuyoshi Fujita  Qinghua Zhu
Affiliation:1. Institute of Applied Ecology, Chinese Academy of Sciences, No. 72 Wenhua Road, Shenyang 110016, PR China;2. National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki 305-8506, Japan;3. Graduate School of Environmental Studies, Nagoya University, Furo-cho, Chikusa-ku, Nagoya 464-8601, Japan;4. School of Management, Dalian University of Technology, No. 2 Linggong Road, Dalian 116024, PR China
Abstract:Cities consumed 84% of commercial energy in China, which indicates cities should be the main areas for GHG emissions reduction. Our case study of Shenyang in this paper shows how a clear inventory analysis on GHG emissions at city level can help to identify the major industries and societal sectors for reduction efforts so as to facilitate low-carbon policy-making. The results showed total carbon emission in 2007 was 57 Mt CO2 equivalents (CO2e), of which 41 Mt CO2e was in-boundary emissions and 16 Mt CO2e was out-of-boundary emissions. The energy sector was dominant in the emission inventory, accounting for 93.1% of total emissions. Within energy sector, emissions from energy production industry, manufacturing and construction industry accounted for 88.4% of this sector. Our analysis showed that comparing with geographical boundary, setting system boundary based on single process standard could provide better information to decision makers for carbon emission reduction. After attributing electricity and heating consumption to final users, the resident and commercial sector became the largest emitter, accounting for 28.5% of total emissions. Spatial analysis of emissions showed that industrial districts such as Shenbei and Tiexi had the large potential to reduce their carbon emissions. Implications of results are finally discussed.
Keywords:Greenhouse gases   City GHG emission inventory   Emission attribution
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