Carbon Emission Risk and Governance

Lu Jiang , Xiaokang Hu , Gangfeng Zhang , Yanqiang Chen , Honglin Zhong , Peijun Shi

International Journal of Disaster Risk Science ›› 2022, Vol. 13 ›› Issue (2) : 249 -260.

PDF
International Journal of Disaster Risk Science ›› 2022, Vol. 13 ›› Issue (2) : 249 -260. DOI: 10.1007/s13753-022-00411-8
Article

Carbon Emission Risk and Governance

Author information +
History +
PDF

Abstract

Within the hazard and disaster risk research field, explicitly treating carbon emissions as a hazard remains rather nascent. Applying hazard and disaster risk research perspectives to seek new insights on integrated mitigation and adaptation approaches and policy measures is equally elusive. Since China’s pledge to achieve carbon neutrality by 2060, the “dual carbon” goals of carbon emission peaking and neutrality have stimulated nationwide attention, research, and policies and action plans. How to ensure that the transition pathways are on track and well-contextualized is one of the crucial challenges for policymakers and practitioners. This article examines the “risks” of missing the carbon neutrality goal at a regional scale in China, denoted as Carbon Emission Risk (CER). Carbon emissions (CE) as hazard, combined with the human socioeconomic system as exposure and human living environment, constitute the regional carbon emission environmental risk system. The “risks” of missing (or achieving) the carbon neutrality target for any region at any time, the article argues, is essentially determined by the ratio of CE to carbon absorption (CA, for uptake and removal). These variables are modified by a broadly defined “vulnerability coefficient” (Cv) that embodies both the potential for changes (decreasing CE and increasing CA), and the uncertainties of measuring CE and CA. Thus, the ratio of CE to CA is a measure of reality at any moment of time, whereas Cv indicates the overall propensity or capacity for moving the CE/CA ratio towards 1, that is, realizing carbon neutrality. Based on our calculation, CER at the provincial level in eastern China is higher than in western China. The article also calls for strengthening CER research and summarizes key measures for carbon emission risk governance.

Keywords

Carbon emission risks / Carbon neutrality / Low-carbon economy / Risk governance / Vulnerability coefficient

Cite this article

Download citation ▾
Lu Jiang, Xiaokang Hu, Gangfeng Zhang, Yanqiang Chen, Honglin Zhong, Peijun Shi. Carbon Emission Risk and Governance. International Journal of Disaster Risk Science, 2022, 13(2): 249-260 DOI:10.1007/s13753-022-00411-8

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

Choat B, Jansen S, Brodribb TJ, Cochard H, Delzon S, Bhaskar R, Bucci SJ, Field TS Global convergence in the vulnerability of forests to drought. Nature, 2012, 491(7426): 752-755

[2]

CPCCC and SCPRC (The Communist Party of China Central Committee and the State Council of the People’s Republic of China). 2021a. Working guidance for carbon dioxide peaking and carbon neutrality in full and faithful implementation of the new development philosophy. http://english.www.gov.cn/policies/latestreleases/2021a10/25/content_WS61760047c6d0df57f98e3c21.html. Accessed 8 Jan 2022.

[3]

CPCCC and SCPRC (The Communist Party of China Central Committee and the State Council of the People’s Republic of China). 2021b. Outline of the Yellow River Basin’s ecological protection and high-quality development plan. http://www.gov.cn/zhengce/2021b-10/08/content_5641438.htm. Accessed 8 Jan 2022.

[4]

CRED (Centre for Research on the Epidemiology of Disasters). 2022. The Emergency Events Database (EM-DAT). https://emdat.be/database. Accessed 26 Jan 2022.

[5]

DBIS (Department for Business Innovation & Skills). 2015. The size and performance of the UK carbon economy. https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/416240/bis-15-206-size-and-performance-of-uk-low-carbon-economy.pdf. Accessed 8 Jan 2022.

[6]

DES (Department of Energy Statistics, National Bureau of Statistics) China energy statistical yearbook, 2021, Beijing: China Statistics Press

[7]

Dujiangyan Government. 2019. About Dujiangyan. http://www.djy.gov.cn/dyjgb_rmzfwz/c129836/english_list_details.shtml. Accessed 8 Jan 2022.

[8]

Huang JG, Bergeron Y, Denneler B, Berninger F, Tardif J. Response of forest trees to increased atmospheric CO2. Critical Reviews in Plant Sciences, 2007, 26(5–6): 265-283

[9]

Hong SB, Yin GD, Piao SL, Dybzinski R, Cong N, Li XY, Wang K, Peñuelas J Divergent responses of soil organic carbon to afforestation. Nature Sustainability, 2020, 3(9): 694-700

[10]

IPCC (Intergovernmental Panel on Climate Change). 2018. Summary for policymakers. In Global warming of 1.5°C. An IPCC special report on the impacts of global warming of 1.5°C above pre-industrial levels and related global greenhouse gas emission pathways, in the context of strengthening the global response to the threat of climate change, sustainable development, and efforts to eradicate poverty, ed. V. Masson-Delmotte, P. Zhai, H.-O. Pörtner, D. Roberts, J. Skea, P.R. Shukla, A. Pirani, W. Moufouma-Okia, et al. https://www.ipcc.ch/sr15/chapter/spm/. Accessed 5 Apr 2022.

[11]

IPCC (Intergovernmental Panel on Climate Change). 2021. Climate change 2021: The physical science basis. https://www.ipcc.ch/report/sixth-assessment-report-working-group-i/. Accessed 5 Apr 2022.

[12]

IPCC (Intergovernmental Panel on Climate Change). 2022. Climate change 2022: Impacts, adaptation and vulnerability. https://www.ipcc.ch/report/ar6/wg2/. Accessed 28 Mar 2022.

[13]

Jiang L, Xue B, Ma ZX, Yu L, Huang BJ, Chen XP. A life-cycle based co-benefits analysis of biomass pellet production in China. Renewable Energy, 2020, 154: 445-452

[14]

Jiang, L., B. Xue, R. Xing, X.P. Chen, L. Song, Y.T. Wang, D. Coffman, and Z.F. Mi. 2020. Rural household energy consumption of farmers and herders in the Qinghai-Tibet Plateau. Energy 192: Article 116649.

[15]

Le Quéré C, Jackson RB, Jones MW, Smith AJP, Abernethy S, Andrew RM, De-Gol AJ, Willis DR Temporary reduction in daily global CO2 emissions during the Covid-19 forced confinement. Nature Climate Change, 2020, 10(7): 647-653

[16]

Lu F, Hu HF, Sun WJ, Zhu JJ, Liu GB, Zhou WM, Zhang QF, Shi PL Effects of national ecological restoration projects on carbon sequestration in China from 2001 to 2010. PNAS, 2018, 115(16): 4039-4044

[17]

McKinsey. 2022. The net-zero transition: What it would cost, what it could bring. https://www.mckinsey.com/business-functions/sustainability/our-insights/the-net-zero-transition-what-it-would-cost-what-it-could-bring. Accessed 11 Feb 2022.

[18]

Miner KR, D’Andrilli J, Mackelprang R, Edwards A, Malaska MJ, Waldrop MP, Miller CE. Emergent biogeochemical risks from Arctic permafrost degradation. Nature Climate Change, 2021, 11(10): 809-819

[19]

NBS (National Bureau of Statistics) National statistical yearbook, 2020, Beijing: China Statistics Press

[20]

NPC and CPPC (The National People’s Congress of the People’s Republic of China and the National Committee of the Chinese People’s Political Consultative Conference). 2021. China’s 14th Five-Year Plan. http://www.xinhuanet.com/english/special/2021lh/index.htm. Accessed 8 Jan 2022.

[21]

NOAA (National Oceanic and Atmospheric Administration). 2021. Climate at a glance: Global time series. https://www.ncdc.noaa.gov/cag/global/time-series/globe/land_ocean/ann/12/1880-2020. Accessed 8 Jan 2022.

[22]

Plaza C, Pegoraro E, Bracho R, Celis G, Crummer KG, Hutchings JA, Pries CEH, Mauritz M Direct observation of permafrost degradation and rapid soil carbon loss in tundra. Nature Geoscience, 2019, 12(8): 627-631

[23]

QPS (Qinghai Provincial Bureau of Statistics) Qinghai statistical yearbook, 2021, Beijing: China Statistics Press

[24]

Ran LS, Butman DE, Battin TJ, Yang XK, Tian MY, Duvert C, Hartmann J, Geeraert N Substantial decrease in CO2 emissions from Chinese inland waters due to global change. Nature Communications, 2021, 12(1): 1-9

[25]

Roobaert A, Laruelle GG, Landschützer P, Gruber N, Chou L, Regnier P. The spatiotemporal dynamics of the sources and sinks of CO2 in the global coastal ocean. Global Biogeochemical Cycles, 2019, 33(12): 1693-1714

[26]

SCP (Scripps CO2 Program). 2021. Atmospheric CO2 data: Ice-core merged products. https://scrippsco2.ucsd.edu/data/atmospheric_co2/icecore_merged_products.html. Accessed 8 Jan 2022.

[27]

SCPRC (The State Council of the People’s Republic of China). 2016. Report on the work of the government (2016). http://english.www.gov.cn/premier/news/2016/03/17/content_281475309417987.htm. Accessed 9 Apr 2022.

[28]

SCPRC (The State Council of the People’s Republic of China). 2021. Action plan for carbon dioxide peaking before 2030. http://english.www.gov.cn/policies/latestreleases/202110/27/content_WS6178a47ec6d0df57f98e3dfb.html. Accessed 8 Jan 2022.

[29]

Shi PJ. On the theory of disaster research and its practice. Journal of Nanjing University, 1991, 11: 37-42 (in Chinese)

[30]

Shi PJ. Disaster risk science, 2018, Beijing and Heidelberg: Beijing Normal University Publishing Group and Springer

[31]

Shi PJ, Yang X, Liu F, Li M, Pan HM, Yang WT, Fang J, Sun S Shi PJ, Kasperson R Mapping multi-hazard risk of the world. World atlas of natural disaster risk, 2015, Heidelberg: Springer 309-323.

[32]

SPS (Shandong Provincial Bureau of Statistics) Shandong statistical yearbook, 2021, Beijing: China Statistics Press

[33]

Teng, F., T.P. Wang, and J.W. Guo. 2021. Carbon neutrality targets and climate risk: An assessment of economic damage from climate change. http://www.3e.tsinghua.edu.cn/cn/article/130. Accessed 11 Feb 2020.

[34]

UK (The United Kingdom) Government. 2021. Summit shows a new surge in action and ambition on road to Glasgow Climate Conference. https://www.gov.uk/government/news/summit-shows-new-surge-in-action-and-ambition-on-road-to-glasgow-climate-conference. Accessed 8 Jan 2022.

[35]

UN (United Nations). 2015. Transforming our world: The 2030 agenda for sustainable development. https://www.un.org/sustainabledevelopment/development-agenda/. Accessed 8 Jan 2022.

[36]

UNISDR (United Nations International Strategy for Disaster Reduction) The Sendai framework for disaster risk reduction 2015–2030, 2015, Geneva: UNISDR

[37]

WEF (World Economic Forum). 2014. Global risks 2014, 9th edn. Geneva: World Economic Forum. http://reports.weforum.org/global-risks-2014/. Accessed 11 Feb 2022.

[38]

WEF (World Economic Forum). 2016. Global risks 2016, 11th edn. Geneva: World Economic Forum. http://reports.weforum.org/global-risks-2016/. Accessed 11 Feb 2022.

[39]

Wei YM, Han R, Wang C, Yu BY, Liang QM, Yuan XC, Chang JJ, Zhao QY Self-preservation strategy for approaching global warming targets in the post-Paris Agreement era. Nature Communications, 2020, 11(1): 1-13

[40]

World Bank. 2021. GDP per capita (constant 2010 US$). https://data.worldbank.org.cn/indicator/NY.GDP.PCAP.KD?view=chart. Accessed 8 Jan 2022.

[41]

Yu D, Shi P, Zhou T, Hao R, Li S, Zhao X, Mao A, Cao Q. Quantification of the amount and spatiotemporal differences of ecosystem service value in Qinghai Province, 2022, Beijing: Science Press

AI Summary AI Mindmap
PDF

296

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/