Abstract
Research on carbon emissions of complex interactive activities in urban agglomerations is one of the hotspots of global climate change research. A comprehensive analysis of the urban agglomeration system’s carbon emissions is essential to reveal strategies for reduction and support sustainable development. The objective of this research is to develop an integrated carbon emission network model to explore the impact of different energy types on the Northeast Industrial District (NID), China. Four representative energy groups are considered. Specifically, at the aggregated sector-level, this research quantified the relative contributions of socioeconomic factors to carbon emission changes using structural decomposition analysis and examined the system efficiency and redundancy through robustness analysis. At the disaggregated level, the research investigated carbon emissions of different sectors from production-based, consumption-based, and income-based viewpoints. Moreover, emissions from specific categories of final demand and primary input were quantified. It was found that the increase of final demand level will proceed to push up the carbon emissions of the NID. Changing the production structure contributes to reducing emissions. The carbon emissions system has a high redundancy and low efficiency, illustrating that there are many emission pathways within the system. In addition, the use of crude oil significantly increases system redundancy and inhibits system efficiency. However, the major limitation of the model is that the long-term changes of the system are not considered. Moreover, considering the actual policies, emission reduction simulations could be added in the future.
Highlights
Carbon dioxide (CO2) emissions are mainly produced by socioeconomic activities such as the burning of fossil fuels [1,2]
A higher redundancy describes the flexibility that a system maintains for oveFrucortmhienrgmdoisrteu, rtbhaenceems iasnsdiosnhsocakrsetdoiistsagngetrwegoarkte.dFibgyurfein1ba–l dddemepaicntdthaenddynparmimicacrhyainngpeus tofcsaytestgeomries cornosbiduestrninegssdcioffnesriednetrienngerdgiffyetryepnetse.mission sources
It is of great importance to improve the commodity trade modes between the Northeast Industrial District (NID) and other provinces
Summary
Carbon dioxide (CO2) emissions are mainly produced by socioeconomic activities such as the burning of fossil fuels [1,2]. Zheng et al (2017b) combined a multiregional input–output analysis with an ecological network analysis to calculate the embodied energy consumption and the energy-related carbon footprints of five sectors in three regions of the Jing-Jin-Ji agglomeration, using data from 2002 and 2007 [15]. These studies are considered to be meaningful for revealing the impacts of sectoral trade exchanges or socioeconomic activities on carbon emissions in urban agglomerations. This paper targets the systematic research of carbon emissions in urban agglomerations
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
