Metabolism of Cities
  • About

    About Us

    • Our Story
    • Mission & Values
    • Team
    • Task Forces
    • Services

    Connect With Us

    • ContributeJoin Us
    • Subscribe
    • Contact Us
  • Community

    Research

    • Projects
    • Theses
    • ContributeAdd Research
    • People

    Updates

    • Events
    • News
  • Resources

    Getting Started

    • About Urban Metabolism
    • Starter Kit

    Multimedia

    • Photos
    • Videos

    Publications

    • Library
    • Journals
    • ContributeAdd Publication

    Data

    • Datasets
    • Data Visualisations

    Tools

    • Online Material Flow Analysis Tool (OMAT)
    • MOOC
  • Cities

    MultipliCity - Data Portals

    • Introduction
    • Video
    • Add DataContribute
    • Data Collection Events
    • Development Roadmap
    • Datasets

    Existing Data Portals

    • Prototype: Cape Town, South Africa
    • Prototype: The Hague, Netherlands
    • Prototype: Beijing, China
    • Overview page

    Upcoming Data Portals

    • Apeldoorn, Netherlands Coming soon
    • Bødo, Norway Coming soon
    • Brussels, Belgium Coming soon
    • Høje Taastrup, Denmark Coming soon
    • Mikkeli, Finland Coming soon
    • Porto, Portugal Coming soon
    • Sevilla, Spain Coming soon
    • Toronto, Canada Coming soon
    • Your city?
    • Orange Theme
    • Blue Theme
    • Metabolism of Cities
    • Metabolism of Islands

Publications

  1. Resources
  2. Publications
  3. Publication #507

Bibtex

@article{reference_tag,
  author = "Zheng, Hongmei and Fath, Brian D. and Zhang, Yan",
  title = "An Urban Metabolism and Carbon Footprint Analysis of the Jing-Jin-Ji Regional Agglomeration",
  journal = "Journal of Industrial Ecology",
  year = 2017,
  abstract = "Urban energy metabolism includes processes for exploiting, transforming, and consuming energy, as well as processes for recycling by-products and wastes. Embodied energy is the energy consumed during all of these activities, both directly and indirectly. Multiregional input-output (MRIO) analysis can calculate the energy consumption embodied in flows among sectors for multiple cities or regions. Our goal was to address a problem apparent in previous research, which was insufficient attention to indirect energy flows. We combined MRIO analysis with ecological network analysis to calculate the embodied energy consumption and the energy-related carbon footprints of five sectors in three regions that comprise the Jing-Jin-Ji agglomeration, using data from 2002 and 2007. Our analysis traced metabolic processes of sectors from the perspective of final consumption. Based on the embodied energy analysis, we quantified the indirect energy consumption implied in exchanges of sectors and its distribution and identified the relationships formed through the indirect consumption to analyze the roles of providers and receivers in the system. Results showed that the embodied energy consumption for the Jing-Jin-Ji region increased from 2002 to 2007 as a result of increased energy consumption in Tianjin and Hebei. Overall, consumption of Beijing decreased likely attributable to the fact that government policies relocated industries during this time in anticipation of the Olympic Games. The relationships among sectors changed: Beijing changed from a net exporter to an importer, whereas Hebei changed from a net importer of energy from Beijing to an exporter to Beijing, and Tianjin served as an importer in both years.",
  doi = "10.1111/jiec.12432",
}

RIS

TY  - JOUR
T1 - An Urban Metabolism and Carbon Footprint Analysis of the Jing-Jin-Ji Regional Agglomeration
AU - Zheng, Hongmei and Fath, Brian D. and Zhang, Yan
Y1 - 2017
DO - 10.1111/jiec.12432
N2 - Urban energy metabolism includes processes for exploiting, transforming, and consuming energy, as well as processes for recycling by-products and wastes. Embodied energy is the energy consumed during all of these activities, both directly and indirectly. Multiregional input-output (MRIO) analysis can calculate the energy consumption embodied in flows among sectors for multiple cities or regions. Our goal was to address a problem apparent in previous research, which was insufficient attention to indirect energy flows. We combined MRIO analysis with ecological network analysis to calculate the embodied energy consumption and the energy-related carbon footprints of five sectors in three regions that comprise the Jing-Jin-Ji agglomeration, using data from 2002 and 2007. Our analysis traced metabolic processes of sectors from the perspective of final consumption. Based on the embodied energy analysis, we quantified the indirect energy consumption implied in exchanges of sectors and its distribution and identified the relationships formed through the indirect consumption to analyze the roles of providers and receivers in the system. Results showed that the embodied energy consumption for the Jing-Jin-Ji region increased from 2002 to 2007 as a result of increased energy consumption in Tianjin and Hebei. Overall, consumption of Beijing decreased likely attributable to the fact that government policies relocated industries during this time in anticipation of the Olympic Games. The relationships among sectors changed: Beijing changed from a net exporter to an importer, whereas Hebei changed from a net importer of energy from Beijing to an exporter to Beijing, and Tianjin served as an importer in both years.
ER - 

Journal Article

2017

Author(s)

  • Brian D. Fath
  • Hongmei Zheng
  • Yan Zhang

Reference

  • Bibtex
  • RIS
  • RefWorks

Search

  • Google Scholar
  • Google

More options

Add a publication

Report error

An Urban Metabolism and Carbon Footprint Analysis of the Jing-Jin-Ji Regional Agglomeration

Journal of Industrial Ecology

Journal of Industrial Ecology

Urban energy metabolism includes processes for exploiting, transforming, and consuming energy, as well as processes for recycling by-products and wastes. Embodied energy is the energy consumed during all of these activities, both directly and indirectly. Multiregional input-output (MRIO) analysis can calculate the energy consumption embodied in flows among sectors for multiple cities or regions. Our goal was to address a problem apparent in previous research, which was insufficient attention to indirect energy flows. We combined MRIO analysis with ecological network analysis to calculate the embodied energy consumption and the energy-related carbon footprints of five sectors in three regions that comprise the Jing-Jin-Ji agglomeration, using data from 2002 and 2007. Our analysis traced metabolic processes of sectors from the perspective of final consumption. Based on the embodied energy analysis, we quantified the indirect energy consumption implied in exchanges of sectors and its distribution and identified the relationships formed through the indirect consumption to analyze the roles of providers and receivers in the system. Results showed that the embodied energy consumption for the Jing-Jin-Ji region increased from 2002 to 2007 as a result of increased energy consumption in Tianjin and Hebei. Overall, consumption of Beijing decreased likely attributable to the fact that government policies relocated industries during this time in anticipation of the Olympic Games. The relationships among sectors changed: Beijing changed from a net exporter to an importer, whereas Hebei changed from a net importer of energy from Beijing to an exporter to Beijing, and Tianjin served as an importer in both years.

Tags

  • Carbon Footprint (CF)
  • Case Study
  • Ecological Network Analysis (ENA)
  • Energy
  • Multi-Region Input-Output (MRIO) Analysis
  • Sub-national
  • Time series
  • Urban

More information

10.1111/jiec.12432

  • Literature
  • Publications
  • Journals
  • Events
  • Publishers

Latest news

Reflections on the first Actionable Science for Urban Sustainability (un)conference (AScUS) 2020
June 23, 2020

Read more

Do you have data on resource flows?

Share data

We can use your help

Join us

Metabolism of Cities

Creative Commons Attribution 4.0 International license.

Our source code is available on
Gitlab

Contact us

Follow Us

Metabolism of Islands

Visit our twin site:
Metabolism of Islands