Re-examining environmental Kuznets curve for China's city-level carbon dioxide (CO2) emissions

Zheye Wang, Xinyue Ye

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Chinese central government promised to reduce its CO2 emissions intensity by 40%–45% by 2020 compared to the level of 2005. However, with limited knowledge on local CO2 emissions, the government could hardly decompose its mitigation plan to local administrative divisions. In this paper, we first interpolate the provincial CO2 emissions to prefectural cities with a combination of areal interpolation method and DMSP/OLS nighttime light data. Then, we test the EKC hypothesis with this city-level data and spatial econometric modeling. This research reveals an uneven landscape of CO2 emissions at both provincial and city scales, suggesting a differentiated decomposition of the mitigation target in China. The city-level monotonic increasing relationship between GDP per capita and CO2 emissions per capita confirmed by our EKC test indicates that CO2 emissions would not decrease automatically as income increases. To that end, actions such as improving the energy efficiency and implementing carbon taxes should be taken to reduce CO2 emissions.

Original languageEnglish (US)
Pages (from-to)377-389
Number of pages13
JournalSpatial Statistics
Volume21
DOIs
StatePublished - Aug 2017
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Computers in Earth Sciences
  • Management, Monitoring, Policy and Law

Keywords

  • Areal interpolation
  • CO emissions
  • DMSP/OLS night lights
  • EKC
  • Urban China

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