@article{31455,
  keywords = {Life-cycle assessment (LCA), China, Water efficiency, Water footprint, ISO 14046, Value-chain},
  author = {Jianyi Lin and Jiefeng Kang and Nina Khanna and Longyu Shi and Xiaofeng Zhao and Jiangfu Liao},
  title = {Scenario analysis of urban GHG peak and mitigation co-benefits: A case study of Xiamen City, China},
  abstract = {<p>Because cities are key to Chinese GHG management, a LEAP-based model integrating energy-related and non-energy related sectors was developed to study urban CO<sub>2</sub> and GHG peak volume and time. Using Xiamen City as a case study, the future GHG emissions trends from 2015 to 2050 was simulated under three scenarios, namely a business-as-usual scenario (BAU), an emission-controlled scenario (EC), and a reinforced mitigation scenario (RM). Results show that Xiamen City will peak its total GHG emissions in 2039 under EC scenario and 2034 under RM scenario, while there might not be an obvious GHG peak under BAU scenario before 2050. Total CO<sub>2</sub> emissions will peak at the same year as the GHG emissions peak year under EC and RM scenarios. Our research also indicates that population and economic growth has a significant impact on the city's CO<sub>2</sub> and GHG peak, and Xiamen might reach the CO<sub>2</sub> peak later than the national goal due to clean energy supply limitations and continued rapid growth. Lack of favorable conditions for large-scale renewable energy development and relatively high price of natural gas are the main obstacles for CO<sub>2</sub> and GHG reduction in Xiamen City. In the future, greater attention on multi-sector reduction strategies is needed, including transforming industrial structure, expanding public transport while limiting private car growth, controlling per capita residential living area, improving public building energy efficiency, and reducing and reusing waste.</p>},
  year = {2018},
  journal = {Journal of Cleaner Production},
  volume = {171},
  pages = {972 - 983},
  month = {03/2018},
  issn = {09596526},
  doi = {10.1016/j.jclepro.2017.10.040},
  language = {eng},
}