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Allocating China’s 2025 CO2 emission burden shares to 340 prefecture cities: methods and findings

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Abstract

Peak emission is an important policy/scheme for all the countries to respond greenhouse gas mitigation. The key is how to distribute the emission burden shares to its sub-regions. This study aims to develop a prefecture city leveled CO2 emission allocation model by integrating multi-indicators method and benchmark method so that China’s 2025 (end year of 14th Five-Year Plan, FYP) CO2 emission burdens can be allocated to its prefecture cities and provinces. Results show that China’s total CO2 emission will reach 12 billion tons in 2025. The majority of such emission will occur in the east China due to its more developed economy and dense population. Cities with high emissions are usually allocated more emission quotas, such as Shanghai, Tianjin, Chongqing, Tangshan, Yulin, Suzhou, and Ningbo. The top five provinces with higher CO2 emission quotas are traditionally high-emission and energy-intensive provinces, including Shandong, Jiangsu, Inner Mongolia, Henan, and Hebei. The national CO2 emission intensity will decrease by 69.35% in 2025 compared to the 2005 level. The CO2 emission intensity reduction rates among the 340 Chinese cities is found to be fluctuating significantly from 16 to 74% during the 14th FYP. Finally, policy recommendations are raised for mitigating city level CO2 emissions by considering the local realities.

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Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  • Baer P, Fieldman G, Athanasiou T, Kartha S (2008) Greenhouse Development Rights: towards an equitable framework for global climate policy. Camb Rev Int Aff 21:649–669

    Article  Google Scholar 

  • Bastianoni S, Pulselli FM, Tiezzi E (2004) The problem of assigning responsibility for greenhouse gas emissions. Ecol Econ 49:253–257

    Article  Google Scholar 

  • BP (2018) BP Energy Outlook: 2018 edition. BP Press, London

  • Cai B, Xin B, Zhang L, Boyce JK, Yu L (2016) Gearing carbon trading towards environmental co-benefits in China:Measurement model and policy implications. Glob Environ Chang 39:275–284

    Article  Google Scholar 

  • Chai Q, Xu H (2014) Modeling an emissions peak in China around 2030: Synergies or trade-offs between economy, energy and climate security. Adv Clim Chang Res 005:169–180

    Article  Google Scholar 

  • Chakravarty S, Chikkatur A, de Coninck H, Pacala S, Socolow R, Tavoni M (2009) Sharing global CO2 emission reductions among one billion high emitters. Proc Natl Acad Sci U S A 106:11884–11888

    Article  CAS  Google Scholar 

  • China Urban Greenhouse Gas Working Group (2019) China urban carbon dioxide emissions data set (2015). China Environmental Publishing Group, Beijing

    Google Scholar 

  • Chiu YH, Lin JC, Su WN, Liu JK (2015) An efficiency evaluation of the EU's allocation of carbon emission allowances. Energy Sources Part B-Econ Plann Policy 10:192–200

    Article  CAS  Google Scholar 

  • Cucchiella F, D'Adamo I, Gastaldi M, Miliacca M (2018) Efficiency and allocation of emission allowances and energy consumption over more sustainable European economies. J Clean Prod 182:805–817

    Article  Google Scholar 

  • Cui L, Fan Y, Zhu L, Bi Q (2014) How will the emissions trading scheme save cost for achieving China’s 2020 carbon intensity reduction target? Appl Energy 136:1043–1052

    Article  Google Scholar 

  • Diaz Rainey I, Tulloch DJ (2018) Carbon pricing and system linking: Lessons from the New Zealand Emissions Trading Scheme. Energy Econ 73:66–79

    Article  Google Scholar 

  • Dong F, Long R, Yu B, Wang Y, Li J, Wang Y, Dai Y, Yang Q, Chen H (2018) How can China allocate CO2 reduction targets at the provincial level considering both equity and efficiency? Evidence from its Copenhagen Accord pledge. Resour Conserv Recycl 130:31–43

    Article  Google Scholar 

  • Du J, Pan M, Chen Y, Duan Y (2020) An efficiency-based allocation of carbon emissions allowance: A case study in China. J Clean Prod 251:1–11

    Article  Google Scholar 

  • Fan J-L, Wang J-D, Kong L-S, Zhang X (2018) The carbon footprints of secondary industry in China: an input-output subsystem analysis. Nat Hazards 91:635–657

    Article  Google Scholar 

  • Fang K, Zhang Q, Long Y, Yoshida Y, Sun L, Zhang H, Dou Y, Li S (2019) How can China achieve its Intended Nationally Determined Contributions by 2030? A multi-criteria allocation of China’s carbon emission allowance. Appl Energy 241:380–389

    Article  Google Scholar 

  • Gallagher KS, Zhang F, Orvis R, Rissman J, Liu Q (2019) Assessing the Policy gaps for achieving China's climate targets in the Paris Agreement. Nat Commun 10:1–10

    Article  Google Scholar 

  • Gomes EG, Lins MPE (2008) Modelling undesirable outputs with zero sum gains data envelopment analysis models. J Oper Res Soc 59:616–623

    Article  Google Scholar 

  • Han R, Tang B, Fan J, Liu L, Wei Y (2016) Integrated weighting approach to carbon emission quotas: an application case of Beijing-Tianjin-Hebei region. J Clean Prod 131:448–459

    Article  Google Scholar 

  • Hu D, Fang Y, Feng C, Cheng J (2019) City-level carbon emission abatement in the subtropics of China: evaluation and reallocation for Zhejiang. Trop Conserv Sci 12:1–12

    Article  Google Scholar 

  • Hua Y, Dong F (2019) China's Carbon Market Development and Carbon Market Connection: A Literature Review. Energies 12:1–25

    Article  CAS  Google Scholar 

  • Kaldellis JK, Zafirakis D, Mantelis N (2011) Critical evaluation of the national allocation plans under the European Union Emission Trading Scheme, Case study Greece. Fresenius Environ Bull 20:1629–1641

    Google Scholar 

  • Li L, Li Y, Ye F, Zhang L (2018) Carbon dioxide emissions quotas allocation in the Pearl River Delta region: Evidence from the maximum deviation method. J Clean Prod 177:207–217

    Article  Google Scholar 

  • Liao Z, Zhu X, Shi J (2015) Case study on initial allocation of Shanghai carbon emission trading based on Shapley value. J Clean Prod 103:338–344

    Article  Google Scholar 

  • Liu X (2018) Regional-level allocation of CO2 emission permits in China: evidence from the Boltzmann distribution method. Sustainability 10

  • Liu Z, Geng Y, Dong H, Wilson J, Micic T, Wu R, Cui X, Qian Y, You W, Sun H (2018) Efficient distribution of carbon emissions reduction targets at the city level: a case of Yangtze River Delta region. J Clean Prod 172:1711–1721

    Article  Google Scholar 

  • Ma C, Ren Y, Zhang Y, Sharp B (2018) The allocation of carbon emission quotas to five major power generation corporations in China. J Clean Prod 189:1–12

    Article  Google Scholar 

  • Malaczynski JD, Duane TP (2009) Reducing greenhouse gas emissions from vehicle miles traveled: integrating the California Environmental Quality Act with the California Global Warming Solutions Act. Ecol Law Q 36:71–135

    Google Scholar 

  • McKinsey & Company (2013) Pathways to a low-carbon economy: Version 2 of the global greenhouse gas abatement cost curve. McKinsey & Company Press, New York

  • Mi Z, Wei Y, Wang B, Meng J, Liu Z, Shan Y, Liu J, Guan D (2017) Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030. J Clean Prod 142:2227–2236

    Article  Google Scholar 

  • Miao Z, Geng Y, Sheng J (2016) Efficient allocation of CO2 emissions in China: a zero sum gains data envelopment model. J Clean Prod 112:4144–4150

    Article  CAS  Google Scholar 

  • Miketa A, Schrattenholzer L (2006) Equity implications of two burden-sharing rules for stabilizing greenhouse-gas concentrations. Energy Policy 34:877–891

    Article  Google Scholar 

  • Moran D, Kanemoto K, Jiborn M, Wood R, Tobben J, Seto KC (2018) Carbon footprints of 13 000 cities. Environ Res Lett 13

  • National Bureau of Statistics of China (2017) Statistical bulletin of the People’s Republic of China on the 2016 National Economic and Social Development. http://www.stats.gov.cn/tjsj/zxfb/201702/t20170228_1467424.html. Accessed 1 Sept 2021

  • National Bureau of Statistics of China (2018) Statistical bulletin of the People’s Republic of China on the 2017 National Economic and Social Development. http://www.stats.gov.cn/tjsj/zxfb/201802/t20180228_1585631.html. Accessed 1 Sept 2021

  • National Bureau of Statistics of China (2019) Statistical bulletin of the People’s Republic of China on the 2018 National Economic and Social Development. http://www.stats.gov.cn/tjsj/zxfb/201902/t20190228_1651265.html. Accessed 1 Sept 2021

  • National Bureau of Statistics of China (2020) Statistical bulletin of the People’s Republic of China on the 2019 National Economic and Social Development. https://www.stats.gov.cn/tjsj/zxfb/202002/t20200228_1728913.html. Accessed 1 Sept 2021

  • Neuhoff K, Martinez KK, Sato MS (2006) Allocation, incentives and distortions: the impact of EU ETS emissions allowance allocations to the electricity sector. Clim Pol 6:73–91

    Article  Google Scholar 

  • Ofosu-Adarkwa J, Xie N, Javed SA (2020) Forecasting CO2 emissions of China's cement industry using a hybrid Verhulst-GM(1,N) model and emissions' technical conversion. Renew Sust Energ Rev 130:109945

    Article  CAS  Google Scholar 

  • Phylipsen GJM, Bode JW, Blok K, Merkus H, Metz B (1998) A Triptych sectoral approach to burden differentiation; GHG emissions in the European bubble. Energy Policy 26:929–943

    Article  Google Scholar 

  • Qiao W, Lu H, Zhou G, Azimi M, Yang Q, Tian W (2020) A hybrid algorithm for carbon dioxide emissions forecasting based on improved lion swarm optimizer. J Clean Prod 244:1–16

    Article  Google Scholar 

  • Ren M, Lu P, Liu X, Hossain MS, Dai H (2021) Decarbonizing China's iron and steel industry from the supply and demand sides for carbon neutrality. Appl Energy 298:117209

    Article  CAS  Google Scholar 

  • Rose A, Zhang Z (2004) Interregional burden-sharing of greenhouse gas mitigation in the United States. Mitig Adapt Strateg Glob Chang 9:477–500

    Article  Google Scholar 

  • Tang B, Ji C, Hu Y, Tan J, Wang X (2019) Optimal carbon allowance price in China’s carbon emission trading system: Perspective from the multi-sectoral marginal abatement cost. J Clean Prod 253:1–12

    Google Scholar 

  • United Nations (2019) World Population Prospects 2019: Methodology of the United Nations population estimates and projections. United Nations Press, New York

  • Vaillancourt K (2004) Equity in international greenhouse gases abatement scenarios: a multicriteria approach. Eur J Oper Res 153:489–505

    Article  Google Scholar 

  • Wang K, Zhang X, Wei Y, Yu S (2013) Regional allocation of CO2 emissions allowance over provinces in China by 2020. Energy Policy 54:214–229

    Article  Google Scholar 

  • Wang J, Song C, Yuan R (2021) CO2 emissions from electricity generation in China during 1997-2040: the roles of energy transition and thermal power generation efficiency. Sci Total Environ 773:145026

    Article  CAS  Google Scholar 

  • Westman L, Broto VC (2018) Climate governance through partnerships: a study of 150 urban initiatives in China. Glob Environ Chang 50:212–221

    Article  Google Scholar 

  • Wu H, Du S, Liang L, Zhou Y (2013) A DEA-based approach for fair reduction and reallocation of emission permits. Math Comput Model 58:1095–1101

    Article  Google Scholar 

  • Wu J, Zhu Q, Liang L (2016) CO2 emissions and energy intensity reduction allocation over provincial industrial sectors in China. Appl Energy 166:282–291

    Article  CAS  Google Scholar 

  • Xie Q, Hu P, Jiang A, Li Y (2019) Carbon emissions allocation based on satisfaction perspective and data envelopment analysis. Energy Policy 132:254–264

    Article  Google Scholar 

  • Xu N, Ding S, Gong Y, Bai J (2019) Forecasting Chinese greenhouse gas emissions from energy consumption using a novel grey rolling model. Energy 175:218–227

    Article  Google Scholar 

  • Yang K, Lei Y, Chen W, Liu L (2018) Carbon dioxide emission reduction quota allocation study on Chinese provinces based on two-stage Shapley information entropy model. Nat Hazards 91:321–335

    Article  Google Scholar 

  • Yu S, Wei Y, Wang K (2014) Provincial allocation of carbon emission reduction targets in China: An approach based on improved fuzzy cluster and Shapley value decomposition. Energy Policy 66:630–644

    Article  Google Scholar 

  • Yu S, Zheng S, Li X, Li L (2018) China can peak its energy-related carbon emissions before 2025: Evidence from industry restructuring. Energy Econ 73:91–107

    Article  Google Scholar 

  • Zetterberg L, Wrake M, Sterner T, Fischer C, Burtraw D (2012) Short-run allocation of emissions allowances and long-term goals for climate policy. Ambio 41:23–32

    Article  Google Scholar 

  • Zhang YJ, Wang AD, Da YB (2014) Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method. Energy Policy 74:454–464

    Article  Google Scholar 

  • Zhang X, Zhao X, Jiang Z, Shao S (2017) How to achieve the 2030 CO2 emission-reduction targets for China's industrial sector: Retrospective decomposition and prospective trajectories. Glob Environ Chang 44:83–97

    Article  Google Scholar 

  • Zhang H, Duan M, Deng Z (2019) Have China's pilot emissions trading schemes promoted carbon emission reductions?- the evidence from industrial sub-sectors at the provincial level. J Clean Prod 234:912–924

    Article  Google Scholar 

  • Zhao R, Min N, Geng Y, He Y (2017) Allocation of carbon emissions among industries sectors: An emissions intensity reduction constrained approach. J Clean Prod 142:3083–3094

    Article  CAS  Google Scholar 

  • Zhou P, Wang M (2016) Carbon dioxide emissions allocation: a review. Ecol Econ 125:47–59

    Article  Google Scholar 

  • Zhou P, Zhang L, Zhou DQ, Xia WJ (2013) Modeling economic performance of interprovincial CO2 emission reduction quota trading in China. Appl Energy 112:1518–1528

    Article  Google Scholar 

  • Zhou N et al (2019) A roadmap for China to peak carbon dioxide emissions and achieve a 20% share of non-fossil fuels in primary energy by 2030. Appl Energy 239:793–819

    Article  Google Scholar 

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Acknowledgements

We would like to thank the support of Shanghai Engineering Research Center of Solid Waste Treatment and Resource Recovery.

Funding

This study is supported by the National Natural Science Foundation of China (72088101, 71974126, 71810107001).

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Contributions

H. Dong and B. Cai designed the research. Z Zhang, H. Dong and B. Cai performed the research, analyzed the data, and wrote the manuscript. Z. Zhang, L. Cao, L. Pang, and Y. Tang collected and visualized the data. Y. Geng addressed the discussion and revised the manuscript. H. Dong and Y. Geng acquired the funding. All authors read and approved the final manuscript.

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Correspondence to Huijuan Dong.

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Zhang, Z., Cao, L., Dong, H. et al. Allocating China’s 2025 CO2 emission burden shares to 340 prefecture cities: methods and findings. Environ Sci Pollut Res 29, 90671–90685 (2022). https://doi.org/10.1007/s11356-022-22052-6

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