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PLoS ONEVolume 9, Issue 3, 3 March 2014, Article number e89850

Input-output modeling for urban energy consumption in Beijing: Dynamics and comparison(Article)(Open Access)

  • Zhang, L.,
  • Hu, Q.,
  • Zhang, F.
  Save all to author list
  • aState Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing, China
  • bWorld Bank, Washington, DC, United States

Abstract

Input-output analysis has been proven to be a powerful instrument for estimating embodied (direct plus indirect) energy usage through economic sectors. Using 9 economic input-output tables of years 1987, 1990, 1992, 1995, 1997, 2000, 2002, 2005, and 2007, this paper analyzes energy flows for the entire city of Beijing and its 30 economic sectors, respectively. Results show that the embodied energy consumption of Beijing increased from 38.85 million tonnes of coal equivalent (Mtce) to 206.2 Mtce over the past twenty years of rapid urbanization; the share of indirect energy consumption in total energy consumption increased from 48% to 76%, suggesting the transition of Beijing from a production-based and manufacturing-dominated economy to a consumption-based and service-dominated economy. Real estate development has shown to be a major driving factor of the growth in indirect energy consumption. The boom and bust of construction activities have been strongly correlated with the increase and decrease of system-side indirect energy consumption. Traditional heavy industries remain the most energy-intensive sectors in the economy. However, the transportation and service sectors have contributed most to the rapid increase in overall energy consumption. The analyses in this paper demonstrate that a system-wide approach such as that based on input-output model can be a useful tool for robust energy policy making. © 2014 Zhang et al.

Indexed keywords

EMTREE drug terms:coal
EMTREE medical terms:articlebuilding industryChinacitycomparative studydynamicseconomic aspectenergy conservationenergy consumptionenergy transferenergy yieldenvironmental economicsgrowth ratereal estateurbanizationtheoretical model
MeSH:ChinaConservation of Energy ResourcesModels, Theoretical

Funding details

Funding sponsor Funding number Acronym
41371521
51121003
  • ISSN: 19326203
  • CODEN: POLNC
  • Source Type: Journal
  • Original language: English
  • DOI: 10.1371/journal.pone.0089850
  • PubMed ID: 24595199
  • Document Type: Article
  • Publisher: Public Library of Science


© Copyright 2014 Elsevier B.V., All rights reserved.

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