Allocating and mapping carbon footprint at the township scale by correlating industry sectors to land uses.

A key part of reducing CO emissions is exploring scientific methods for calculating carbon footprints and allocating their sources. Several limitations in current approaches exist at smaller scales due to shortcomings and uncertainty in data collection. This article implements an improved approach t...

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Published in:Geographical Review Vol. 106; no. 3; pp. 441 - 465
Main Authors: Liu, Chengliang, Wang, Tao, Lin, Xiao, Zhao, Rui
Format: Article
Published: Taylor & Francis Ltd Jul2016
Subjects:
Online Access:View this record in EBSCOhost
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        10.1111/j.1931-0846.2016.12159.x
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        atl: Allocating and mapping carbon footprint at the township scale by correlating industry sectors to land uses.
      aug:
        au:
          Liu, Chengliang
          Wang, Tao
          Lin, Xiao
          Zhao, Rui
        affil:
          School of Urban and Regional Science, East China Normal University, Shanghai 200062, China
          Department of Geography and Anthropology, Louisiana State University, Baton Rouge LA, 70803, USA
          Hubei Key Laboratory, Geographical Process Analysis & Simulation, Central China Normal University, Wuhan 430079, China
          East China Normal University, Shanghai
          Faculty of Geosciences, Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
      su:
        China
        Climate change
        Energy consumption
        Urbanization
        Ecological impact
        Cities & towns & the environment
        Land use -- History
        Agricultural productivity
        History of urbanization
      sug:
        subj:
          Climate change
          Energy consumption
          Urbanization
          China
          Ecological impact
          Cities & towns & the environment
          Land use -- History
          Agricultural productivity
          History of urbanization
      keyword:
        carbon footprint
        cointegration test
        regional allocation
        spatiotemporal variations
        township scale
        carbon footprint
        cointegration test
        regional allocation
        spatiotemporal variations
        township scale
      ab: A key part of reducing CO emissions is exploring scientific methods for calculating carbon footprints and allocating their sources. Several limitations in current approaches exist at smaller scales due to shortcomings and uncertainty in data collection. This article implements an improved approach to allocate carbon footprints at the local, neighborhood scale, taking land uses as a criteria, after verifying the correlation between industry sectors and land uses through cointegration test. A case study of the Wuhan Metropolitan Area (Wh MA) is provided to examine the method's applicability and effectiveness. Some related spatiotemporal variations in carbon-footprint values at the township scale are depicted as a spatial tendency from zonal agglomeration to radial diffusion in a core-periphery structure, which relates to such human-driven factors as population, transportation, and urban (built-up) area. The findings provide insight for policymakers to generate appropriate allocative strategies for low-carbon development.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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