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Evolution of CO2 emissions and driving factors in the Tongzhou District in Beijing

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  • Jing-Li Fan

    (China University of Mining and Technology, Beijing (CUMTB)
    State Key Laboratory of Coal Resources and Safe Mining (China University of Mining and Technology)
    Beijing Institute of Technology)

  • Zhe Cao

    (China University of Mining and Technology, Beijing (CUMTB))

  • Mian Zhang

    (China University of Mining and Technology, Beijing (CUMTB))

  • Li Liu

    (Beijing Municipal Science and Technology Commission)

  • Xian Zhang

    (Ministry of Science and Technology (MOST))

Abstract

As Beijing put forward its “one core, two wings” development plan, the development and construction in the Beijing Tongzhou District have turned into a national strategy. However, as a municipal district, energy and CO2 emission data and other statistics are difficult to obtain in Tongzhou and CO2 emissions accounting for a district at this level is rare. This study applies the accounting method of city carbon emissions to the district level. Firstly, we account for the CO2 emissions in the Tongzhou District from 2008 to 2015 according to data availability. Secondly, by using the logarithmic mean Divisa index decomposition approach, the Tongzhou CO2 emissions are decomposed into six main driving factors, including population, per capita GDP, industrial structure, energy intensity, energy consumption structure, and energy-related CO2 emission factors. The result shows that (1) from 2008 to 2015, the CO2 emissions in the Tongzhou District first increased and then decreased and peaked in 2011. (2) Population and per capita GDP both contributed to the change in CO2 emissions in the Tongzhou District during the study period and resulted in 407,200 tons and 346,200 tons increase, respectively. The industrial structure, energy consumption intensity, and energy structure exerted inhibiting effects, offsetting 29,300 tons, 571,500 tons, and 29,300 tons, respectively, and the energy consumption intensity was the most important factor. (3) On this basis, we discuss the annual effects of the driving factors. The results of this study provide great significance and references for research in order to implement the low-carbon development and the “one core, two wings” strategy in the Tongzhou District.

Suggested Citation

  • Jing-Li Fan & Zhe Cao & Mian Zhang & Li Liu & Xian Zhang, 2019. "Evolution of CO2 emissions and driving factors in the Tongzhou District in Beijing," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(1), pages 381-399, January.
  • Handle: RePEc:spr:nathaz:v:95:y:2019:i:1:d:10.1007_s11069-018-3439-0
    DOI: 10.1007/s11069-018-3439-0
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    References listed on IDEAS

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    1. Rong Yuan & Tao Zhao & Jing Xu, 2017. "A subsystem input–output decomposition analysis of CO2 emissions in the service sectors: a case study of Beijing, China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(6), pages 2181-2198, December.
    2. Ang, B. W., 2004. "Decomposition analysis for policymaking in energy:: which is the preferred method?," Energy Policy, Elsevier, vol. 32(9), pages 1131-1139, June.
    3. Ang, B.W & Zhang, F.Q & Choi, Ki-Hong, 1998. "Factorizing changes in energy and environmental indicators through decomposition," Energy, Elsevier, vol. 23(6), pages 489-495.
    4. Yue-Jun Zhang & Jun-Fang Hao, 2017. "Carbon emission quota allocation among China’s industrial sectors based on the equity and efficiency principles," Annals of Operations Research, Springer, vol. 255(1), pages 117-140, August.
    5. Fan, Jing-Li & Zhang, Yue-Jun & Wang, Bing, 2017. "The impact of urbanization on residential energy consumption in China: An aggregated and disaggregated analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 220-233.
    6. Mousavi, Babak & Lopez, Neil Stephen A. & Biona, Jose Bienvenido Manuel & Chiu, Anthony S.F. & Blesl, Markus, 2017. "Driving forces of Iran's CO2 emissions from energy consumption: An LMDI decomposition approach," Applied Energy, Elsevier, vol. 206(C), pages 804-814.
    7. Yang Yu & Qiuyue Kong, 2017. "Analysis on the influencing factors of carbon emissions from energy consumption in China based on LMDI method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1691-1707, September.
    8. Dhakal, Shobhakar, 2009. "Urban energy use and carbon emissions from cities in China and policy implications," Energy Policy, Elsevier, vol. 37(11), pages 4208-4219, November.
    9. Hu, Yi & Yin, Zhifeng & Ma, Jian & Du, Wencui & Liu, Danhe & Sun, Luxi, 2017. "Determinants of GHG emissions for a municipal economy: Structural decomposition analysis of Chongqing," Applied Energy, Elsevier, vol. 196(C), pages 162-169.
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