Literature DB >> 25421995

Effects of endogenous factors on regional land-use carbon emissions based on the Grossman decomposition model: a case study of Zhejiang Province, China.

Cifang Wu1, Guan Li, Wenze Yue, Rucheng Lu, Zhangwei Lu, Heyuan You.   

Abstract

The impact of land-use change on greenhouse gas emissions has become a core issue in current studies on global change and carbon cycle. However, a comprehensive evaluation of the effects of land-use changes on carbon emissions is very necessary. This paper attempted to apply the Grossman decomposition model to estimate the scale, structural, and management effects of land-use carbon emissions based on final energy consumption by establishing the relationship between the types of land use and carbon emissions in energy consumption. It was shown that land-use carbon emissions increase from 169.5624 million tons in 2000 to 637.0984 million tons in 2010, with an annual average growth rate of 14.15%. Meanwhile, land-use carbon intensity increased from 17.59 t/ha in 2000 to 64.42 t/ha in 2010, with an average annual growth rate of 13.86%. The results indicated that rapid industrialization and urbanization in Zhejiang Province promptly increased urban land and industrial land, which consequently affected land-use extensive emissions. The structural and management effects did not mitigate land-use carbon emissions. By contrast, both factors evidently affected the growth of carbon emissions because of the rigid demands of energy-intensive land-use types and the absence of land management. Results called for the policy implications of optimizing land-use structures and strengthening land-use management.

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Year:  2014        PMID: 25421995     DOI: 10.1007/s00267-014-0406-8

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  5 in total

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  5 in total
  2 in total

1.  A Preliminary Study of the Carbon Emissions Reduction Effects of Land Use Control.

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Journal:  Sci Rep       Date:  2016-11-15       Impact factor: 4.379

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Journal:  Sci Rep       Date:  2018-09-06       Impact factor: 4.379

  2 in total

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