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Identifying the driving forces of CO2 emissions of China’s transport sector from temporal and spatial decomposition perspectives

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Abstract

The transport sector is the fourth largest industrial CO2 emitter in China, next to power sector, iron and steel industries, and nonmetallic mineral product industry, and plays an important role in reducing China’s CO2 emissions. In this study, a temporal decomposition analysis model, i.e., Logistic Mean Division Index (LMDI), is developed to analyze the influencing factors of CO2 emissions in China’s transport sector during 2000–2015. Then, a multi-regional spatial decomposition model is employed to identify the key factors to induce the differences in CO2 emissions of China’s 30 regional transport sectors in 2000, 2005, 2010, and 2015. Based on the empirical results, we find that both in the temporal and spatial perspectives, the main factors that affect CO2 emissions in the transport sector are the same ones. From the temporal perspective, the income effect is the dominant factor increasing CO2 emissions of transport sector, while energy intensity effect and transportation structure effect are the key influencing factors that curb the CO2 emissions of China’s transport sector, during the whole study period. From the spatial perspective, the income effect, energy intensity effect, and transportation structure effect are the key influencing factors that enlarge the gap of CO2 emissions of various transport sectors in the key study years. More importantly, the less-developed regions and high energy intensity regions (i.e., the lower energy efficiency regions) are identified to have the great potential to reduce CO2 emissions of transport sector. Therefore, differentiated mitigation measures and interregional collaborations are encouraged to reduce transport sector’s CO2 emissions in China.

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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 (2005) The LMDI approach to decomposition analysis: a practical guide. Energy Policy 33(7):867–871

    Article  Google Scholar 

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

    Article  Google Scholar 

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

    CAS  Google Scholar 

  • China Transportation & Communications Yearbook Publishing House 2015 Beijing, China

  • Clarke J, Heinonen J, Ottelin J (2017) Emissions in a decarbonized economy? Global lessons from a carbon footprint analysis of Iceland. J Clean Prod 166:1175–1186

    Article  Google Scholar 

  • Fernández González P, Landajo M, Presno MJ (2014) Multilevel LMDI decomposition of changes in aggregate energy consumption. A cross country analysis in the EU-27. Energy Policy 68:576–584

    Article  Google Scholar 

  • Hao L, Han W et al (2014) Regional disparity of urban passenger transport associated GHG (greenhouse gas) emissions in China: a review. Energy 68:783–793

    Article  Google Scholar 

  • IEA (2015) World Energy Outlook 2015. International Energy Agency (IEA), Paris

  • IEA (2017) World Energy balances & CO2 emissions from fuel combustion. (International Energy Agency), Paris

    Google Scholar 

  • IPCC (2006) Guidelines for National Greenhouse Gas Inventories. Intergovernmental Panel on Climate Change (IPCC). Available at: http://www.ipcc-nggip.iges. Accessed 26 Oct 2018

  • 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 IPCCs, Paris

  • Li Y, Li B, Li W, et al (2016a) Scenario analysis of CO2 and pollutant emission mitigation potential for China’s road transportation sector. Journal of Tongji University

  • Li W, Li H, Zhang H et al (2016b) The analysis of CO2 emissions and reduction potential in China’s transport sector. Math Probl Eng 63(2):113–154. https://doi.org/10.1155/2016/1043717

  • Li H, Zhao Y, Qiao X et al (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 

  • Lin B, Ahmad I (2016) Energy substitution effect on transport sector of Pakistan based on trans-log production function. Renew Sust Energ Rev 56:1182–1193

    Article  Google Scholar 

  • Lin B, Xie C (2016) Energy substitution effect on transport industry of China-based on trans-log production function. Energy Policy 67:213–222

    Google Scholar 

  • Lin B, Zhang Z (2016) Carbon emissions in China’s cement industry: a sector and policy analysis. Renew Sust Energ Rev 58:1387–1394

    Article  Google Scholar 

  • Liu Z, Li L, Zhang Y (2015) Investigating the CO2 emission differences among China’s transport sectors and their influencing factors. Nat Hazards 77(2):1323–1343

    Article  Google Scholar 

  • National Bureau of Statistics of China (2015) China Statistical Yearbook. China Statistics Press, Beijing

    Google Scholar 

  • Peng T, Zhou X, Yuan Z et al (2018) Development and application of China provincial road transport energy demand and GHG emissions analysis model. Appl Energy 222:313–328

    Article  Google Scholar 

  • Research Council UK (2017) China Emission Accounts and Datasets [EB/OL]. [2017-06-12]. Http://www.ceads.net/.

  • Scholl L, Schipper L, Kiang N (1996) CO2 emissions from passenger transport: a comparison of international trends from 1973 to 1992. Energy Policy 24(1):17–30

    Article  Google Scholar 

  • Sim J (2017) The influence of new carbon emission abatement goals on the truck-freight transportation sector in South. J Clean Prod 164:153–162

    Article  Google Scholar 

  • Su B, Ang BW (2016) Multi-region comparisons of emission performance: the structural decomposition analysis approach. Ecol Indic 67:78–87

    Article  Google Scholar 

  • Tian Y, Zhu Q, Geng Y (2013) An analysis of energy-related greenhouse gas emissions in the Chinese iron and steel industry. Energy Policy 56:352–361

    Article  Google Scholar 

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

    Article  Google Scholar 

  • Timilsina GR, Shrestha A (2009b) Factors affecting transport sector CO2 emissions growth in Latin American and Caribbean countries: an LMDI decomposition analysis. Int J Energy Res 33(4):396–414

    Article  CAS  Google Scholar 

  • UNFCCC (2015) Adoption of the Paris agreement (1/CP.21). United Nations framework convention on climate change, Paris

    Google Scholar 

  • Wadud Z (2016) Diesel demand in the road freight sector in the UK: estimates for different vehicle types. Appl Energy 165:849–857

    Article  Google Scholar 

  • Wang X, Lin B (2016) How to reduce CO2 emissions in China’s iron and steel industry. Renew Sust Energ Rev 57:1496–1505

  • Wang T, Lin B (2019) Fuel consumption in road transport: a comparative study of China and OECD countries. J Clean Prod 206:156–170

    Article  Google Scholar 

  • Wang C, Cai W, Lu X et al (2007) CO2 mitigation scenarios in China’s road transport sector. Energy Convers Manag 48(7):2110–2118

    Article  CAS  Google Scholar 

  • Wang W, Zhang M, Zhou M (2011) Using LMDI method to analyze transport sector CO2 emissions in China. Energy 36(10):5909–5915

    Article  Google Scholar 

  • Xu B, Lin B (2015) Factors affecting carbon dioxide CO2 emissions in China’s transport sector: a dynamic nonparametric additive regression model. J Clean Prod 101:311–322

    Article  CAS  Google Scholar 

  • Xu B, Lin B (2016) Differences in regional emissions in China’s transport sector: determinants and reduction strategies. Energy Policy 95:459–470

    Google Scholar 

  • Xu R, Lin B (2017) Why are there large regional differences in CO2 emissions? Evidence from China’s manufacturing industry. J Clean Prod 140:1330–1343

    Article  CAS  Google Scholar 

  • Xu B, Lin B (2018) Investigating the differences in CO2, emissions in the transport sector across Chinese provinces: evidence from a quantile regression model. J Clean Prod 175:109–122

    Article  Google Scholar 

  • Ye L, Bao L, Wen L et al (2016) Scenario analysis of CO2 and pollutant emission mitigation potential for China’s road transportation sector. Journal of Tongji University

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

    Article  Google Scholar 

  • Zhao Y, Li H, Zhang Z et al (2017) Decomposition and scenario analysis of CO2 emissions in China’s power industry: based on LMDI method. Nat Hazards 86(2):645–668

    Article  Google Scholar 

Download references

Funding

This study was financially supported by the National Natural Sciences Foundation of China (No. 714721183), and research on the relationship between energy consumption, carbon emission, and economic growth in Shanxi province (No. 2016045).

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Authors and Affiliations

  1. Logistics Supply Chain, School of Management and Economics, The North University of China, Taiyuan, 030051, People’s Republic of China

    Keyong Zhang

  2. Logistics Engineering, School of Management and Economics, The North University of China, Taiyuan, 030051, People’s Republic of China

    Xianmei Liu

  3. Logistics Management, Supply Chain Management, Business School, Renmin University of China, Beijing, 100872, People’s Republic of China

    Jianming Yao

Authors
  1. Keyong Zhang
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  2. Xianmei Liu
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  3. Jianming Yao
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Correspondence to Keyong Zhang.

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Responsible editor: Philippe Garrigues

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Appendix

Appendix

Table 3 Energy intensity of national transport sector during 2000–2015
Full size table
Table 4 Energy intensity of regional transport sector in 2000
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Table 5 Energy intensity of regional transport sector in 2005
Full size table
Table 6 Energy intensity of regional transport sector in 2010
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Table 7 Energy intensity of regional transport sector in 2015
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Zhang, K., Liu, X. & Yao, J. Identifying the driving forces of CO2 emissions of China’s transport sector from temporal and spatial decomposition perspectives. Environ Sci Pollut Res 26, 17383–17406 (2019). https://doi.org/10.1007/s11356-019-05076-3

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  • DOI: https://doi.org/10.1007/s11356-019-05076-3

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