Skip to main content

Advertisement

SpringerLink
Log in

Decoupling analysis between carbon dioxide emissions and the corresponding driving forces by Chinese power industry

  • Research Article
  • Published:
Environmental Science and Pollution Research Aims and scope Submit manuscript

Abstract

This study applied the Logarithmic Mean Divisia Index (LMDI) model to analyze changes in carbon dioxide emissions by Chinese power industry from 2003 to 2017. Besides, the Tapio decoupling analysis model is applied to explore the decoupling states between power industry carbon dioxide emissions and the corresponding influence factors. Several conclusions were obtained: (1) the power industry carbon dioxide emissions only displayed a slight downward trend during 2011–2012, 2013–2014, and 2014–2015; (2) the factors promoting the growth in power industry carbon dioxide emissions are energy consumption structure effect and total power generation effect. Power generation structural effect and fossil energy conversion efficiency effect inhibit the power industry carbon dioxide emissions from increasing, but they were far from offsetting the positive contribution value brought by total power generation effect; (3) changes in carbon dioxide emissions by the power industry were not sensitive to the change of fossil energy conversion efficiency and power production structure but were sensitive to the change of total power generation; (4) the contributions of technical effect were higher than those of structural effect on the decoupling index between impact factors and power industry carbon dioxide emissions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1

Similar content being viewed by others

References

  • Ang BW (2004) Decomposition analysis for policymaking in energy: which is the preferred method? Energy Policy 32(9):1131–1139

    Article  Google Scholar 

  • Ang BW (2015) LMDI decomposition approach: a guide for implementation. Energy Policy 86:233–238

    Article  Google Scholar 

  • Ang BW, Xu XY, Su B (2015) Multi-country comparisons of energy performance: the index decomposition analysis approach. Energy Econ 47:68–76

    Article  Google Scholar 

  • Bithas K, Kalimeris P (2018) Unmasking decoupling: redefining the resource intensity of the economy. Sci Total Environ 619–620:338–351

  • Chen G, Hou F, Chang K (2018a) Regional decomposition analysis of electric carbon productivity from the perspective of production and consumption in China. Environ Sci Pollut Res 25:1508–1518

    Article  CAS  Google Scholar 

  • Chen G, Hou F, Chang K, Zhai Y, du Y (2018b) Driving factors of electric carbon productivity change based on regional and sectoral dimensions in China. J Clean Prod 205:477–487

    Article  Google Scholar 

  • Chen J, Wang P, Cui L, Huang S, Song M (2018c) Decomposition and decoupling analysis of CO2 emissions in OECD. Appl Energy 231:937–950

    Article  CAS  Google Scholar 

  • China National Bureau of Statistics (2018) http://data.stats.gov.cn/easyquery.htm?cn=C01

  • China’s National Bureau of Statistics (2004-2018) China Energy Statistical Yearbook. China Statistics Press, Beijing

  • Fan W, Meng M et al (2020) Decoupling elasticity and driving factors of energy consumption and economic development in the Qinghai-Tibet Plateau. Sustainability 12:1–22

    Google Scholar 

  • Goh T, Ang BW, Xu XY (2018) Quantifying drivers of CO2 emissions from electricity generation–current practices and future extensions. Appl Energy 231:1191–1204

    Article  CAS  Google Scholar 

  • Intergovernmental Panel on Climate Change (2006) The guidelines for national greenhouse gas inventories. Institute for Global Environmental Strategies. IGES, Hayama

    Google Scholar 

  • Kaya Y (1989) Impact of carbon dioxide emission on GNP growth: interpretation of proposed scenarios. Presentation to the energy and industry subgroup, response strategies working group of Intergovernmental Panel on Climate Change (IPCC), Paris

  • Li H, Zhao Y, Qiao X, Liu Y, Cao Y, Li Y, Wang S, Zhang Z, Zhang Y, Weng J (2017) Identifying the driving forces of national and regional CO2 emissions in China: Based on temporal and spatial decomposition analysis models. Energy Econ 68:522–538

    Article  Google Scholar 

  • Malla S (2009) CO2 emissions from electricity generation in seven Asia-Pacific and North American countries: a decomposition analysis. Energy Policy 37(1):1–9

    Article  Google Scholar 

  • Pan W, Tu H et al (2020) Driving forces of China’s multisector CO2 emissions: a Log-Mean Divisia Index decomposition. Environ Sci Pollut Res 27:23550–23564

  • Quan C, Cheng X, Yu S, Ye X (2020) Analysis on the influencing factors of carbon emission in China’s logistics industry based on LMDI method. Sci Total Environ 734:138473

    Article  CAS  Google Scholar 

  • Song H, Huang B, Yuan Z (2019) The energy saving mechanism of China’s industrial sectors based on LMDI Approach. Soft Sci 33(07):106–110

    Google Scholar 

  • Tapio P (2005) Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transp Policy 12(2):137–151

    Article  Google Scholar 

  • Wu Y, Tam VWY, Shuai C, Shen L, Zhang Y, Liao S (2019) Decoupling China’s economic growth from carbon emissions: empirical studies from 30 Chinese provinces (2001-2015). Sci Total Environ 656:576–588

    Article  CAS  Google Scholar 

  • Xie P, Gao S, Sun F (2019) An analysis of the decoupling relationship between CO2 emission in power industry and GDP in China based on LMDI method. J Clean Prod 211:598–606

    Article  Google Scholar 

  • Yang L, Lin B (2016) Carbon dioxide-emission in China’s power industry: evidence and policy implications. Renew Sust Energ Rev 60:258–267

    Article  Google Scholar 

  • Zang X, Zhao T, Wang J, Guo F (2017) The effects of urbanization and household-related factors on residential direct CO2, emissions in Shanxi, China from 1995 to 2014: A decomposition analysis. Atmos Pollut Res 8(2):297–309

    Article  Google Scholar 

  • Zhang M, Bai C (2018) Exploring the influencing factors and decoupling state of residential energy consumption in Shandong. J Clean Prod 194:253–262

    Article  Google Scholar 

  • Zhang C, Su B et al (2018) Analysis of electricity consumption in China (1990–2016) using index decomposition and decoupling approach. J Clean Prod 209:224–235

    Article  Google Scholar 

  • Zhao X, Zhang X, Shao S (2016) Decoupling CO2 emissions and industrial growth in China over 1993–2013: The role of investment. Energy Econ 60:275–292

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Mathematics and Statistics, Shanxi Datong University, Datong, 037009, China

    Guijing Chen & Keliang Chang

  2. School of Management and Economics, Beijing Institute of Technology, Beijing, 100081, China

    Fujun Hou

  3. School of Economics and Management, Inner Mongolia University, Hohhot, 010021, China

    Jiaqi Li

  4. School of Statistics, Renmin University of China, Beijing, 100872, China

    Keliang Chang

Authors
  1. Guijing Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Fujun Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jiaqi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Keliang Chang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Guijing Chen.

Ethics declarations

Conflict of interest

The authors declare that there is no conflict of interest.

Additional information

Responsible Editor: Eyup Dogan

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendix

Appendix

Table 6 Decoupling state standard
Full size table

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chen, G., Hou, F., Li, J. et al. Decoupling analysis between carbon dioxide emissions and the corresponding driving forces by Chinese power industry. Environ Sci Pollut Res 28, 2369–2378 (2021). https://doi.org/10.1007/s11356-020-10666-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11356-020-10666-7

Keywords

Search

Navigation