Skip to main content

Advertisement

SpringerLink
Log in

Analysis on the influencing factors of carbon emissions from energy consumption in China based on LMDI method

  • Original Paper
  • Published:
Natural Hazards Aims and scope Submit manuscript

Abstract

Based on the time series decomposition of the Log-Mean Divisia Index, this paper analyzes the driving factors of carbon emissions from energy consumption by introducing the indicators of energy trade in China during the period of 2000–2014. The carbon emissions are decomposed into carbon emission coefficient, population, economic output, energy intensity, energy trade, energy structure and industrial structure effect in the manuscript. The result indicates that economic activity has the largest positive effect on the variation of carbon emissions. The energy trade has a greatest opposite effect on carbon emission change. At the same time, China has achieved a considerable decrease in carbon emission mainly due to the improvement of energy intensity and the optimization of energy and industrial structure. However, the influences of those changes in energy intensity, energy and industrial structure are relatively small. In addition, through the analysis by using a suitable index of energy trade, it was found that improving the conditions of energy trade can effectively optimize the energy structure and reduce the carbon emission in China.

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
Fig. 2

Similar content being viewed by others

Notes

  1. Note: For research needs, this paper assumes that the import and export volumes of energy are basically same. We determine the terms of trade as the ratio of the exports into the imports.

References

  • Achour H, Belloumi M (2016) Decomposing the influencing factors of energy consumption in Tunisian transportation sector using the LMDI method. Transp Policy 52:64–71

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Ang BW (1994) Decomposition of industrial energy consumption. Energy Econ 16(3):163–174

    Article  Google Scholar 

  • Ang BW (2005) The LMDI approach to decomposition analysis: a practical guide. Energy Policy 33:867–871

    Article  Google Scholar 

  • Ang BW, Choi KH (1997) Decomposition of aggregate energy and gas emission intensities for industry: a refined Divisia index method. Energy 18(3):59–73

    Google Scholar 

  • Ang BW, Liu FL (2001) A new energy decomposition method: perfect in decomposition and consistent in aggregation. Energy 26(6):537–548

    Article  Google Scholar 

  • Birdsall N (1992) Another look at population and global warming, policy research working papers, vol 1020. The World Bank, Washington DC, pp 1–29

  • BP (2011) Statistical review of world energy. British Petroleum, London, pp 1–25

  • China Statistics Press, National Bureau of Statistics of China (2016) China Statistical Yearbook. China

  • Chong CH, Liu P, Ma LW, Li Z, Ni WD, Li X, Song SZ (2017) LMDI decomposition of energy consumption in Guangdong Province, China, based on an energy allocation diagram. Energy 133:525–544

    Article  Google Scholar 

  • Cole MA, Neumayer E (2004) Examining the impact of demographic factors on air pollution. Popul Environ 26(1):5–21

    Article  Google Scholar 

  • De Freitas LC, Kaneko S (2011) Decomposition of CO2 emissions change from energy consumption in Brazil: challenges and policy implications. Energy Policy 39(3):1495–1504

    Article  Google Scholar 

  • Fan T, Luo R, Xia H, Li X (2015) Using LMDI method to analyze the influencing factors of carbon emissions in China’s petrochemical industries. Nat Hazards 75(2):319–332

    Article  Google Scholar 

  • Fodha M, Zaghdoud O (2015) Decomposition analysis of aggregate energy intensity changes in Tunisia over the period 1980–2007. Environ Model Assess 20(5):509–520

    Article  Google Scholar 

  • Gregg JS, Andres RJ, Marland G (2008) China: emissions pattern of the world leader in CO2 emissions from fossil fuel consumption and cement production. Geograph Res Lett 35(8):1–5

    Article  Google Scholar 

  • Gu AL, He CK, Lv ZQ (2016) Industrial structure changes impact on carbon emissions in China based on LMDI method. Res Sci 38(10):1861–1870

    Google Scholar 

  • Guo CX (2012) Effect of industrial structure change on carbon emission in China. China Popul Res Environ 22(7):15–20

    Google Scholar 

  • Guo YG, Lin FC, Bai YQ, Wu MM (2009) The decomposition research on energy-related carbon emissions of Shanghai. Chin J Environ Pollut Prot 31:68–72

    Google Scholar 

  • Han YF, Zhang L (2013) Decomposition of agricultural carbon emissions in China: LMDI decomposition based on energy consumption and trade perspectives. Contemp Econ Res 4:47–52

    Google Scholar 

  • Hatzigeorgiou E, Polatidis H, Haralambopoulos D (2008) CO2 emissions in Greece for 1990–2002: a decomposition analysis and comparison of results using the Arithmetic Mean Divisia Index and Logarithmic Mean Divisia Index techniques. Energy 33(3):492–499

    Article  Google Scholar 

  • Hoekstra R, Van den Bergh JC (2003) Comparing structural decomposition analysis and index. Energy Econ 25(1):39–64

    Article  Google Scholar 

  • Hu X, Liu C (2016) Carbon productivity: a case study in the Australian construction industry. J Clean Prod 112:2354–2362

    Article  Google Scholar 

  • Huang J (1993) Industry energy use and structural change: a case study of the People’s Republic of China. Energy Econ 15(2):131–136

    Article  Google Scholar 

  • Inglesi-Lotz R, Blignaut JN (2011) South Africa’s electricity consumption: a sectoral decomposition analysis. Appl Energy 88(12):4779–4784

    Article  Google Scholar 

  • Inglesi-Lotz R, Pouris A (2012) Energy efficiency in South Africa: a decomposition exercise. Energy 42:113–120

    Article  Google Scholar 

  • Jung S, An KJ, Dodbiba G, Fujita T (2012) Regional energy-related carbon emission characteristics and potential mitigation in eco-industrial parks in South Korea: logarithmic mean divisia index analysis based on the kaya identity. Energy 46(1):231–241

    Article  Google Scholar 

  • Lenzen M (1998) Primary energy and greenhouse gases embodied in Australian final consumption: an input–output analysis. Energy Policy 26(6):495–506

    Article  Google Scholar 

  • Li ZJ, Lei X, Zhou XL, Zhang WD, Yu Y (2014) Changes in carbon dioxide emissions and LMDI-based impact factor decomposition: the Xinjiang Uygur autonomous region as a case. J Arid Land 6(2):145–155

    Article  Google Scholar 

  • Liang JS, Zhang W, Cai JM (2007) The decomposition of energy consumption growth in China: based on input–output model. J Nat Res 22(6):853–864

    Google Scholar 

  • Lin BQ, Lei XJ (2015) Carbon emissions reduction in China's food industry. Energy Policy 86:483–492

    Article  Google Scholar 

  • Lin B, Moubarak M (2013) Decomposition analysis: change of carbon dioxide emissions in the Chinese textile industry. Renew Sustain Energy Rev 26:389–396

    Article  Google Scholar 

  • Lin B, Sun C (2010) Evaluating carbon dioxide emissions in international trade of China. Energy Policy 38(1):613–621

    Article  Google Scholar 

  • Liu Y (2015) Analysis on the influence factors of computing CO2 emission by input–output method. China Popul Res Environ 25(9):21–27

    Google Scholar 

  • Liu LC, Fan Y, Wu G, Wei YM (2007) Using LMDI method to analyze the change of China’s industrial CO2 emissions from final fuel use: an empirical analysis. Energy Policy 35(11):5892–5900

    Article  Google Scholar 

  • Liu Z, Guan D, Wei W, Davis SJ, Ciais P, Bai J, Andres RJ (2015) Reduced carbon emission estimates from fossil fuel combustion and cement production in China. Nature 524(7565):335–338

    Article  Google Scholar 

  • Liu L, Wang S, Wang K, Zhang R, Tang X (2016) LMDI decomposition analysis of industry carbon emissions in Henan Province, China: comparison between different 5-year plans. Nat Hazards 80(2):997–1014

    Article  Google Scholar 

  • Ma C, Stern DI (2008) China’s changing energy intensity trend: a decomposition analysis. Energy Econ 30(3):1037–1053

    Article  Google Scholar 

  • Ouyang X, Lin B (2015) An analysis of the driving forces of energy-related carbon dioxide emissions in China’s industrial sector. Renew Sustain Energy Rev 45:838–849

    Article  Google Scholar 

  • Paul S, Bhattacharya RN (2004) CO2 emission from energy use in India: a decomposition analysis. Energy Policy 32(5):585–593

    Article  Google Scholar 

  • Peters GP, Weber CL, Guan D, Hubacek K (2007) China’s growing CO2 emissions a race between increasing consumption and efficiency gains. Environ Sci Technol 41(17):5939–5944

    Article  Google Scholar 

  • Qu XR, Jiang Q (2012) Examining the impact of demographic factors on regional carbon emission an empirical study based on Chinese Provincial panel data. Popul Econ 2:13–16

    Google Scholar 

  • Ren S, Yin H, Chen X (2014) Using LMDI to analyze the decoupling of carbon dioxide emissions by China’s manufacturing industry. Environ Dev 9:61–75

    Article  Google Scholar 

  • Shahiduzzaman M (2012) Energy consumption, economic growth and CO2 emissions in Australia: the potential for energy conservation (Doctoral dissertation, Ph.D. thesis, University of Southern Queensland). 11–194

  • Shahiduzzaman M, Alam K (2013) Changes in energy efficiency in Australia: a decomposition of aggregate energy intensity using logarithmic mean Divisia approach. Energy Policy 56:341–351

    Article  Google Scholar 

  • Shahiduzzaman M, Layton A, Alam K (2015) Decomposition of energy-related CO2 emissions in Australia: challenges and policy implications. Econ Anal Policy 45:100–111

    Article  Google Scholar 

  • Shrestha RM, Timilsina GR (1996) Factors affecting CO2 intensities of power sector in Asia: a divisia decomposition analysis. Energy Econ. 18(4):283–293

    Article  Google Scholar 

  • Shrestha RM, Anandarajah G, Liyanage MH (2009) Factors affecting CO2 emission from the power sector of selected countries in Asia and the Pacific. Energy Policy 37(6):2375–2384

    Article  Google Scholar 

  • Shyamal P, Rabindra NB (2004) CO2 emission from energy use in India: a decomposition analysis. Energy Policy 32(5):585–593

    Article  Google Scholar 

  • Sinton JE, Levine MD (1994) Changing energy intensity in Chinese industry: the relatively importance of structural shift and intensity change. Energy Policy 22(3):239–255

    Article  Google Scholar 

  • Song JK (2012) Factor decomposition of carbon emissions from energy consumption of Shandong Province based on LMDI. Res Sci 34(1):35–41

    Google Scholar 

  • Sun WQ, Cai JJ, Mao HJ, Guan DJ (2011) Change in carbon dioxide (CO2) emissions from energy use in China’s iron and steel industry. J Iron Steel Res Int 18(6):31–36

    Article  Google Scholar 

  • Tian CS, Hao Y, Li WJ, Qu BL (2015) Population age structure effects on carbon emission in China. Res Sci 37(12):2313–2315

    Google Scholar 

  • Timilsina GR, Shrestha A (2009) Transport sector CO2 emissions growth in Asia: underlying factors and policy options. Energy Policy 37(11):4523–4539

    Article  Google Scholar 

  • Torvanger A (1991) Manufacturing sector carbon dioxide emissions in nine OECD countries: 1973–1987. Energy Econ 13(3):168–186

    Article  Google Scholar 

  • Tunç GI, Türüt-Aşık S, Akbostancı E (2009) A decomposition analysis of CO2 emissions from energy use: Turkish case. Energy Policy 37(11):468

    Google Scholar 

  • Wang C, Chen J, Zou J (2005) Decomposition of energy-related CO2 emission in China: 1957–2000. Energy 30(1):73–83

    Article  Google Scholar 

  • Wang W, Mu HL, Kang XD, Ning YD, Song RC (2010) Changes in industrial electricity consumption in China from 1998 to 2007. Energy Policy 38:3684–3690

    Article  Google Scholar 

  • Wang W, Liu X, Zhang M, Song X (2014) Using a new generalized LMDI (logarithmic mean Divisia index) method to analyze China’s energy consumption. Energy 67:617–622

    Article  Google Scholar 

  • Weber CL, Peters GP, Guan D, Hubacek K (2008) The contribution of Chinese exports to climate change. Energy Policy 36(9):3572–3577

    Article  Google Scholar 

  • Wen Q, Tian Y, Wang YP (2015) Provincial differences and driving mechanism of agricultural carbon emission in China. J Arid Land Resour and Environ 29(11):1–6

    Google Scholar 

  • Xie BC, Shang LF, Yang SB, Yi BW (2014) Dynamic environmental efficiency evaluation of electric power industries: evidence from OECD (Organization for Economic Cooperation and Development) and BRIC (Brazil, Russia, India and China) countries. Energy 74:147–157

    Article  Google Scholar 

  • Xing YS, Cao LZ (2013) Energy consumption structure, energy trade and carbon emission reduction task of China. Int Trade Issues 3:78–85

    Google Scholar 

  • Xu JH, Fleiter T, Eichhammer W, Fan Y (2012) Energy consumption and CO2 emissions in China’s cement industry: a perspective from LMDI decomposition analysis. Energy Policy 50:821–832

    Article  Google Scholar 

  • Xu SC, He ZX, Long RY (2014) Factors that influence carbon emissions due to energy consumption in China: decomposition analysis using LMDI. Appl Energy 127:182–193

    Article  Google Scholar 

  • Yang J, Chen B (2011) Using LMDI method to analyze the change of industrial CO2 emission from energy use in Chongqing. Front Earth Sci 5(1):103–109

    Article  Google Scholar 

  • Yu Y, Chen FF (2016) Research on carbon emissions embodied in trade between China and South Korea. Atmos Pollut Res 8(1):2–6

    Google Scholar 

  • Zeng XF (2016) A research into the influencing factors on China’s carbon emission according to its non-competitive input–output tables. J Grad Sch Chin Acad Soc Sci 2:40–44

    Google Scholar 

  • Zhang YJ, Da YB (2015) The decomposition of energy-related carbon emission and its decoupling with economic growth in China. Renew Sustain Energy Rev 41:1255–1266

    Article  Google Scholar 

  • Zhang Y, Yang LK (2012) Export trade of China’s industrial sectors, domestic CO2 emissions and influence factors: a cross period comparative analysis based on structural decomposition. World Econ Study 7:29–34

    Google Scholar 

  • Zhang M, Mu H, Ning Y, Song Y (2009) Decomposition of energy-related CO2 emission over 1991–2006 in China. Ecol Econ 68(7):2122–2128

    Article  Google Scholar 

  • Zhang M, Li H, Zhou M, Mu H (2011) Decomposition analysis of energy consumption in Chinese transportation sector. Appl Energy 88(6):2279–2285

    Article  Google Scholar 

  • Zhang W, Zhang JS, Zhou SH, Xu J (2013) Factor decomposition of carbon emissions from energy consumption of Shanxi province based on LMDI. J Arid Land Res Environ 29(9):26–31

    Google Scholar 

  • Zhang L, Lei J, Zhou X, Zhang X, Dong W, Yang Y (2014) Changes in carbon dioxide emissions and LMDI-based impact factor decomposition: the Xinjiang Uygur autonomous region as a case. J Arid Land 6(2):145–155

    Article  Google Scholar 

  • Zhang W, Li K, Zhou D, Zhang W, Gao H (2016a) Decomposition of intensity of energy-related CO2 emission in Chinese provinces using the LMDI method. Energy Policy 92:369–381

    Article  Google Scholar 

  • Zhang M, Song Y, Li P, Li H (2016b) Study on affecting factors of residential energy consumption in urban and rural Jiangsu. Renew Sustain Energy Rev 53:330–337

    Article  Google Scholar 

  • Zhao ZY, Yang CF (2012) The decomposition analysis on the driving factors of China’s carbon emission. China Soft Sci 6:175–183

    Google Scholar 

  • Zhao M, Tan L, Zhang W, Ji M, Liu Y, Yu L (2010) Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method. Energy 35(6):2505–2510

    Article  Google Scholar 

  • Zhao Y, Li H, Zhang Z, Zhang Y, Wang S, Liu Y (2016) Decomposition and scenario analysis of CO2 emissions in China’s power industry: based on LMDI method. Nat Hazards 82(2):1–24

    Google Scholar 

  • Zhu Q, Peng ZX, Lu ZM, Wu KY (2009) Factors decomposition and empirical analysis of variations in energy carbon emission in China. Res Sci 31(12):2075–2078

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Economics and Management, Beijing University of Chemical Technology, No. 15 Beisanhuan East Road, Chaoyang District, Beijing, 100029, China

    Yang Yu & Qiuyue Kong

Authors
  1. Yang Yu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qiuyue Kong
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yang Yu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yu, Y., Kong, Q. Analysis on the influencing factors of carbon emissions from energy consumption in China based on LMDI method. Nat Hazards 88, 1691–1707 (2017). https://doi.org/10.1007/s11069-017-2941-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11069-017-2941-0

Keywords

Search

Navigation