Investigation of a spatial coupling relationship between carbon emission performance and regional urbanization in China

PLoS One. 2019 Sep 30;14(9):e0222534. doi: 10.1371/journal.pone.0222534. eCollection 2019.

Abstract

In light of the problem of environmental pollution caused by fossil fuel combustion, and its association with rapid urbanization, China is grappling with the question of how to reduce carbon emissions through more efficient energy consumption while simultaneously advancing its economic development. We applied a directional distance function to estimate the carbon emission performance of 30 provinces in China during the period 2000-2016. We selected an index system to assess urbanization processes in these provinces and conducted a spatial analysis to investigate the relationship between urbanization and carbon emission performance. We obtained the following results. First, the carbon emission performance of the eastern region, valued at 0.853, was relatively higher than the corresponding values of 0.810, 0.804, and 0.843 in the central, western, and northeastern regions, respectively. However, during this period, disparities among provinces increased. Second, the average urbanization value for each province showed an upward trend during the study period, and urbanization assumed a "striped" spatial agglomeration pattern. A third finding was that carbon emission performance and urbanization demonstrated a relationship of positive spatial dependence. The average value of their coordinated coupling indicated an upward trend, with an annual increase of 0.85%. Last, we found that efforts to reduce carbon emissions that are solely based on carbon emission performance do not yield reliable results. Accordingly, measurements of urbanization values can enable more detailed differentiation. In conclusion, reasonable measures should be implemented to improve carbon emission performance and urbanization that are in alignment with the actual situation within a given region.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Carbon / analysis*
  • China
  • Economic Development*
  • Environmental Pollution / analysis*
  • Spatial Analysis
  • Urbanization*

Substances

  • Carbon

Grants and funding

This work was supported by National Key Research and Development Program of China grant No. 2016YFA0602500, National Natural Science Foundation of China grant 41371170, and Key Technology Research and Development Program of Shandong grant 2017GSF22102. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.