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Convergence of carbon intensity in the Yangtze River Delta, China.
Li, Jianbao; Huang, Xianjin; Yang, Hong; Chuai, Xiaowei; Wu, Changyan.
Afiliación
  • Li J; School of Geography and Oceanography Sciences, Nanjing University, Nanjing, China.
  • Huang X; School of Geography and Oceanography Sciences, Nanjing University, Nanjing, China.
  • Yang H; The Key Laboratory of the Coastal Zone Exploitation and Protection, Ministry of Land and Resources, Nanjing, China.
  • Chuai X; School of Geography and Oceanography Sciences, Nanjing University, Nanjing, China.
  • Wu C; Centre for Ecological and Evolutionary Synthesis, Department of Biosciences, University of Oslo, Blindern, Norway.
Habitat Int ; 60: 58-68, 2017 Feb.
Article en En | MEDLINE | ID: mdl-32287708
ABSTRACT
As China's industrialization and urbanization have grown rapidly in recent years, China's CO2 emissions rose from 3405.1799 Mt to 10,249.4630 Mt from 2000 to 2013, and it has reached the highest levels in the word since 2006. Chinese government has emphasized the importance of reducing carbon emissions and set the target of reducing carbon intensity to 60-65% of 2005 levels by 2030. Investigating the convergence of carbon intensity can identify the convergence rate, which is helpful in guiding allocations of carbon intensity reduction. The Yangtze River Delta is one of the key carbon emission regions in China, with higher urbanization levels and larger carbon emissions; thus, we employed prefecture-level panel data derived from grid data between 2000 and 2010 to examine whether the convergence of carbon intensity exists across prefecture-level cities in the Yangtze River Delta. Spatial panel data models were utilized to investigate ß-convergence of carbon intensity. The results indicated that carbon intensity showed divergence during 2002-2004 and σ-convergence over other periods (2000-2002 and 2004-2010). Carbon intensity exhibited stochastic convergence, indicating that the shocks to carbon intensity relative to the average level of carbon intensity are only transitory. There was a spatial spillover effect and ß-convergence of carbon intensity, suggesting that prefecture-level cities with higher carbon intensity would decrease rapidly in the Yangtze River Delta. Our results highlight the importance of considering the present state of carbon intensity, spatial factors, and socioeconomic factors such as industrial structure and economic levels during allocation planning for reducing carbon intensity.
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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Habitat Int Año: 2017 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Habitat Int Año: 2017 Tipo del documento: Article País de afiliación: China