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How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance

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Listed:
  • Fang, Kai
  • Zhang, Qifeng
  • Long, Yin
  • Yoshida, Yoshikuni
  • Sun, Lu
  • Zhang, Haoran
  • Dou, Yi
  • Li, Shuai

Abstract

Accelerating global warming has suggested the importance of controlling greenhouse gas emissions associated with human activities. In striving to fulfill the Paris Agreement, China has announced its Intended Nationally Determined Contributions (INDCs) aimed at reducing its carbon dioxide (CO2) emission intensity by 60–65% in 2030 against the level of 2005. However, China’s INDCs cannot be fulfilled without formulating appropriate schemes for the allocation of carbon emission allowance (CEA) at sub-national scales. To help close the gap in our knowledge, this paper starts with measuring the overall CEA of China by 2030, and then proposes a science-based scheme for CEA allocation by developing an improved zero sum gains-data envelopment analysis (ZSG-DEA) model. It demonstrates that the final CEA of some northern provinces can be cut down as compared to their initial shares and, conversely, most southern provinces experience an increase in their CEA. Comparing the final share of CEA by province with current carbon emissions, we observe that provinces with abundant energy reserves, such as Shanxi, Inner Mongolia and Shaanxi, tend to be operating in a state of overshoot in terms of space for carbon emissions (SCE). In contrast, there remains SCE when it comes to Guangdong, Hunan, Fujian, etc. The remaining provinces, such as Heilongjiang, Hebei and Ningxia, are close to the break-even point. In view of the differing SCE of individual provinces, common but differentiated policies for CO2 emission control would be the key to achieving China’s INDCs. The research findings lay a scientific basis for the Chinese government to make its INDCs come true through inter-provincial collaboration on emission reduction, but also serve as a reference for fueling further scientific discussions and development of schemes for the allocation of responsibility for carbon emissions at multiple scales within and beyond China.

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  • Fang, Kai & Zhang, Qifeng & Long, Yin & Yoshida, Yoshikuni & Sun, Lu & Zhang, Haoran & Dou, Yi & Li, Shuai, 2019. "How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance," Applied Energy, Elsevier, vol. 241(C), pages 380-389.
  • Handle: RePEc:eee:appene:v:241:y:2019:i:c:p:380-389
    DOI: 10.1016/j.apenergy.2019.03.055
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    as
    1. Hamzacebi, Coskun & Es, Huseyin Avni, 2014. "Forecasting the annual electricity consumption of Turkey using an optimized grey model," Energy, Elsevier, vol. 70(C), pages 165-171.
    2. Shao, Shuai & Liu, Jianghua & Geng, Yong & Miao, Zhuang & Yang, Yingchun, 2016. "Uncovering driving factors of carbon emissions from China’s mining sector," Applied Energy, Elsevier, vol. 166(C), pages 220-238.
    3. Yu, Shiwei & Wei, Yi-Ming & Wang, Ke, 2014. "Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition," Energy Policy, Elsevier, vol. 66(C), pages 630-644.
    4. Hof, Andries F. & den Elzen, Michel G.J. & Admiraal, Annemiek & Roelfsema, Mark & Gernaat, David E.H.J. & van Vuuren, Detlef P., 2017. "Global and regional abatement costs of Nationally Determined Contributions (NDCs) and of enhanced action to levels well below 2°C and 1.5°C," Environmental Science & Policy, Elsevier, vol. 71(C), pages 30-40.
    5. Wang, Ke & Zhang, Xian & Wei, Yi-Ming & Yu, Shiwei, 2013. "Regional allocation of CO2 emissions allowance over provinces in China by 2020," Energy Policy, Elsevier, vol. 54(C), pages 214-229.
    6. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    7. E G Gomes & M P E Lins, 2008. "Modelling undesirable outputs with zero sum gains data envelopment analysis models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(5), pages 616-623, May.
    8. Lins, Marcos P. Estellita & Gomes, Eliane G. & Soares de Mello, Joao Carlos C. B. & Soares de Mello, Adelino Jose R., 2003. "Olympic ranking based on a zero sum gains DEA model," European Journal of Operational Research, Elsevier, vol. 148(2), pages 312-322, July.
    9. Shao, Ling & Li, Yuan & Feng, Kuishuang & Meng, Jing & Shan, Yuli & Guan, Dabo, 2018. "Carbon emission imbalances and the structural paths of Chinese regions," Applied Energy, Elsevier, vol. 215(C), pages 396-404.
    10. Mi, Zhifu & Zhang, Yunkun & Guan, Dabo & Shan, Yuli & Liu, Zhu & Cong, Ronggang & Yuan, Xiao-Chen & Wei, Yi-Ming, 2016. "Consumption-based emission accounting for Chinese cities," Applied Energy, Elsevier, vol. 184(C), pages 1073-1081.
    11. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    12. Ming-Ming Zhao & Rongrong Li, 2018. "Decoupling and decomposition analysis of carbon emissions from economic output in Chinese Guangdong Province: A sector perspective," Energy & Environment, , vol. 29(4), pages 543-555, June.
    13. Ringius, Lasse & Torvanger, Asbjorn & Holtsmark, Bjart, 1998. "Can multi-criteria rules fairly distribute climate burdens?: OECD results from three burden sharing rules," Energy Policy, Elsevier, vol. 26(10), pages 777-793, August.
    14. Yi, Wen-Jing & Zou, Le-Le & Guo, Jie & Wang, Kai & Wei, Yi-Ming, 2011. "How can China reach its CO2 intensity reduction targets by 2020? A regional allocation based on equity and development," Energy Policy, Elsevier, vol. 39(5), pages 2407-2415, May.
    15. Michael R. Raupach & Steven J. Davis & Glen P. Peters & Robbie M. Andrew & Josep G. Canadell & Philippe Ciais & Pierre Friedlingstein & Frank Jotzo & Detlef P. van Vuuren & Corinne Le Quéré, 2014. "Sharing a quota on cumulative carbon emissions," Nature Climate Change, Nature, vol. 4(10), pages 873-879, October.
    16. Ye, Bin & Jiang, JingJing & Li, Changsheng & Miao, Lixin & Tang, Jie, 2017. "Quantification and driving force analysis of provincial-level carbon emissions in China," Applied Energy, Elsevier, vol. 198(C), pages 223-238.
    17. Ju, Yiyi & Fujikawa, Kiyoshi, 2019. "Modeling the cost transmission mechanism of the emission trading scheme in China," Applied Energy, Elsevier, vol. 236(C), pages 172-182.
    18. Marco Grasso & J. Timmons Roberts, 2014. "A compromise to break the climate impasse," Nature Climate Change, Nature, vol. 4(7), pages 543-549, July.
    19. Justin Yifu Lin, 2011. "China and the global economy," Proceedings, Federal Reserve Bank of San Francisco, issue Nov, pages 213-229.
    20. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    21. G. Marangoni & M. Tavoni & V. Bosetti & E. Borgonovo & P. Capros & O. Fricko & D. E. H. J. Gernaat & C. Guivarch & P. Havlik & D. Huppmann & N. Johnson & P. Karkatsoulis & I. Keppo & V. Krey & E. Ó Br, 2017. "Sensitivity of projected long-term CO2 emissions across the Shared Socioeconomic Pathways," Nature Climate Change, Nature, vol. 7(2), pages 113-117, February.
    22. 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.
    23. Elmar Kriegler & Brian-C O'Neill & Stéphane Hallegatte & Tom Kram & Richard-H Moss & Robert Lempert & Thomas J Wilbanks, 2010. "Socio-economic Scenario Development for Climate Change Analysis," CIRED Working Papers hal-00866437, HAL.
    24. Katarzyna B. Tokarska & Nathan P. Gillett & Andrew J. Weaver & Vivek K. Arora & Michael Eby, 2016. "The climate response to five trillion tonnes of carbon," Nature Climate Change, Nature, vol. 6(9), pages 851-855, September.
    25. Pao, Hsiao-Tien & Fu, Hsin-Chia & Tseng, Cheng-Lung, 2012. "Forecasting of CO2 emissions, energy consumption and economic growth in China using an improved grey model," Energy, Elsevier, vol. 40(1), pages 400-409.
    26. Shihong Zeng & Yan Xu & Liming Wang & Jiuying Chen & Qirong Li, 2016. "Forecasting the Allocative Efficiency of Carbon Emission Allowance Financial Assets in China at the Provincial Level in 2020," Energies, MDPI, vol. 9(5), pages 1-18, May.
    27. Zhang, Qianxue & Liao, Hua & Hao, Yu, 2018. "Does one path fit all? An empirical study on the relationship between energy consumption and economic development for individual Chinese provinces," Energy, Elsevier, vol. 150(C), pages 527-543.
    28. Pan, Xunzhang & Teng, Fei & Wang, Gehua, 2014. "Sharing emission space at an equitable basis: Allocation scheme based on the equal cumulative emission per capita principle," Applied Energy, Elsevier, vol. 113(C), pages 1810-1818.
    29. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    30. Jiahua Pan, 2003. "Emissions Rights and their Transferability: Equity Concerns over Climate Change Mitigation," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 3(1), pages 1-16, March.
    31. Pang, Rui-zhi & Deng, Zhong-qi & Chiu, Yung-ho, 2015. "Pareto improvement through a reallocation of carbon emission quotas," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 419-430.
    32. Lining Wang & Wenying Chen & Hongjun Zhang & Ding Ma, 2017. "Dynamic equity carbon permit allocation scheme to limit global warming to two degrees," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 22(4), pages 609-628, April.
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