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Study on the spatial and temporal differentiation and influencing factors of carbon emissions in Shandong province

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Abstract

To reduce carbon emissions effectively in Shandong province in New Normal economy, this paper presents a new way to reflect the situation of carbon emissions accurately from both time-perspective and spatial perspective. The characteristics of carbon emissions in Shandong province are presented during 2005–2014, and this paper explores the spatial autocorrelation of carbon emissions branches in 17 cities. The results show that the total amount of carbon emissions in Shandong province presented a steady growth, whereas the growth rate was low, and the proportion of coal consumption in energy structure was significantly higher than the national average. In addition, the spatial pattern of the carbon emissions in 17 cities presented obvious regionally distinction. Furthermore, the affecting factors governing carbon emissions are decomposed based on the Kaya identity. The results reveal that economic scale was the key factor to increase the carbon emissions, whereas energy efficiency was the main factor of carbon emissions reduction. Therefore, this paper draws government should promote carbon emissions reduction given priority to some regions virtually, while encouraging emission reduction in others.

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Notes

  1. To keep the consistence of study period and the accurate comparison, relative data of indicators, e.g., the total energy consumption, GDP and population, is obtained since 2004.

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Acknowledgements

This work was supported by the Fundamental Research Funds for the National Social Science Foundation of China (14BGL159), Shandong Province Natural Science Key Fund Project (ZR2015GZ003), Shandong Province Social Science Planning Project (13CDYJ27), Fundamental Research Funds for the Central Universities (2015XKMS069), and the Natural Science Foundation of Jiangsu Province (BK20160246). We are grateful to two anonymous for their comments and suggestions that have helped to improve considerably the paper. Nonetheless, we are of course responsible for all errors and omissions.

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Authors and Affiliations

  1. School of Business, Shandong University of Technology, Zibo, 255012, People’s Republic of China

    Hui Zhang & Xiumei Sun

  2. School of Science, China University of Mining and Technology, Xuzhou, 221116, People’s Republic of China

    Wenwen Wang

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  1. Hui Zhang
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  2. Xiumei Sun
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Correspondence to Xiumei Sun or Wenwen Wang.

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Zhang, H., Sun, X. & Wang, W. Study on the spatial and temporal differentiation and influencing factors of carbon emissions in Shandong province. Nat Hazards 87, 973–988 (2017). https://doi.org/10.1007/s11069-017-2805-7

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  • DOI: https://doi.org/10.1007/s11069-017-2805-7

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