INPUT-OUTPUT-ANALYSIS
; BEIJING-TIANJIN-HEBEI
; CO2 EMISSION
; INTERNATIONAL-TRADE
; ENERGY-CONSUMPTION
; CHINA
; DRIVERS
; MODEL
; DECOMPOSITION
; FOOTPRINT
WOS学科分类:
Energy & Fuels
; Engineering, Chemical
WOS研究方向:
Energy & Fuels
; Engineering
英文摘要:
Carbon emission inventories are the foundations of climate change mitigation and adaptation in cities. In this study, we estimated production-based CO2 emissions from fossil fuel combustion and industrial processes in eleven cities in Hebei Province of China in 2012 and used input-output theory to measure their consumption based CO2 emissions. By comprehensively comparing production- and consumption-based emissions, we found that six developed cities were consumers with import-depended trade patterns, while the five other cities were producers, mostly medium in size, with the potential to transform into consumer cities with socioeconomic development. Emissions embodied in imports accounted for more than half of the consumption-based emissions in most cities, which shows the significance of interregional cooperation in tackling climate change. International cooperation is also important at the city level, as international imports also impact consumption based emissions. From the perspective of final use, emissions caused by fixed capital formation predominated in most cities and were determined by their economic development models.
1.UCL, Bartlett Sch Construct & Project Management, London WC1E 7HB, England 2.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China 4.Univ Cambridge, Dept Polit & Int Studies, Cambridge CB3 9DT, England 5.Univ East Anglia, Sch Int Dev, Water Secur Res Ctr, Norwich NR4 7TJ, Norfolk, England 6.Univ Westminster, Fac Architecture & Built Environm, Dept Planning & Transport, London NW1 5LS, England
Recommended Citation:
Mi, Zhifu,Zheng, Jiali,Meng, Jing,et al. Carbon emissions of cities from a consumption-based perspective[J]. APPLIED ENERGY,2019-01-01,235:509-518