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Erschienen in: Clean Technologies and Environmental Policy 8/2021

18.06.2021 | Original Paper

Allocation of carbon emission quotas in Chinese provinces based on Super-SBM model and ZSG-DEA model

verfasst von: Fang Chen, Tao Zhao, Hongmei Xia, Xiaoyan Cui, Zhiyuan Li

Erschienen in: Clean Technologies and Environmental Policy | Ausgabe 8/2021

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Abstract

Allocation of carbon emission quotas is a primary part for carbon trading market to mitigate carbon emission, and there is no unified carbon emission allocation scheme in China at provincial level now. The researches on allocation of carbon emission quotas ignored the difference among the efficiency values of effective provinces, and few researches considered the reduction potentiality. This paper aimed at proposing a carbon emission quota allocation scheme in China in 2030 based on entropy method, the Super-SBM (super-slack-based measure) model and ZSG-DEA (zero sum gains DEA) model. Different from the existing researches, Super-SBM model can help effectively distinguish every efficiency value, making the allocation results more exact and efficient. And considering reduction potentiality calculated by ZSG-DEA model, the allocation results could be more feasible. The result shows that: (1) The carbon emission quota allocation scheme is tested to be feasible with validity and fairness. Economic development level and carbon emission efficiency are the main contributors to carbon emission quota allocation, consisting with China’s current policy orientation of vigorously promoting the development of green ecological economy. (2) The carbon emission quotas decrease gradually from the southeast coastal area to the northwest area. Guangdong, Jiangsu, Shandong and Zhejiang obtain the highest carbon emission quotas, while Gansu, Qinghai, Ningxia and Xinjiang experience the lowest carbon emission quotas. (3) Carbon emission quota surplus is witnessed in 15 of the 30 provinces including Beijing, Guangdong, Shanghai, etc. Hebei, Jilin, Gansu and Heilongjiang take the larger pressure of carbon emission reduction. The different reasons for carbon emission quota surplus and carbon emission reduction pressure suggest that common but differentiated strategies should be provided in front of carbon emission quota allocation and reduction pressure and regional coordinated development should be promoted.

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Literatur
Zurück zum Zitat Cai W, Ye P (2019) A more scientific allocation scheme of carbon dioxide emissions allowances: the case from China. J Clean Prod 215:903–912CrossRef Cai W, Ye P (2019) A more scientific allocation scheme of carbon dioxide emissions allowances: the case from China. J Clean Prod 215:903–912CrossRef
Zurück zum Zitat Chang K, Chang H (2016) Cutting CO2 intensity targets of interprovincial emissions trading in China. Appl Energy 163:211–221CrossRef Chang K, Chang H (2016) Cutting CO2 intensity targets of interprovincial emissions trading in China. Appl Energy 163:211–221CrossRef
Zurück zum Zitat Chen F, Zhao T, Wang J (2019) The evaluation of energy–environmental efficiency of China’s industrial sector: based on Super-SBM model. Clean Technol Environ Policy 21(7):1397–1414CrossRef Chen F, Zhao T, Wang J (2019) The evaluation of energy–environmental efficiency of China’s industrial sector: based on Super-SBM model. Clean Technol Environ Policy 21(7):1397–1414CrossRef
Zurück zum Zitat Chen F, Zhao T, Liao Z (2020) The impact of technology-environmental innovation on CO2 emissions in China's transportation sector. Environ Sci Pollut Res 2020, 27(23):29485–29501 Chen F, Zhao T, Liao Z (2020) The impact of technology-environmental innovation on CO2 emissions in China's transportation sector. Environ Sci Pollut Res 2020, 27(23):29485–29501
Zurück zum Zitat 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 241:380–389CrossRef 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 241:380–389CrossRef
Zurück zum Zitat Han R, Tang B-J, Fan J-L, Liu L-C, Wei Y-M (2016) Integrated weighting approach to carbon emission quotas: an application case of Beijing-Tianjin-Hebei region. J Clean Prod 131:448–459CrossRef Han R, Tang B-J, Fan J-L, Liu L-C, Wei Y-M (2016) Integrated weighting approach to carbon emission quotas: an application case of Beijing-Tianjin-Hebei region. J Clean Prod 131:448–459CrossRef
Zurück zum Zitat Kong Y, Zhao T, Yuan R, Chen C (2019) Allocation of carbon emission quotas in Chinese provinces based on equality and efficiency principles. J Clean Prod 211:222–232CrossRef Kong Y, Zhao T, Yuan R, Chen C (2019) Allocation of carbon emission quotas in Chinese provinces based on equality and efficiency principles. J Clean Prod 211:222–232CrossRef
Zurück zum Zitat Li H, Shi J-F (2014) Energy efficiency analysis on Chinese industrial sectors: an improved Super-SBM model with undesirable outputs. J Clean Prod 65:97–107CrossRef Li H, Shi J-F (2014) Energy efficiency analysis on Chinese industrial sectors: an improved Super-SBM model with undesirable outputs. J Clean Prod 65:97–107CrossRef
Zurück zum Zitat 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 177:207–217CrossRef 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 177:207–217CrossRef
Zurück zum Zitat Lins MPE, Gomes EG, Soares de Mello JCCB, Soares de Mello AJR (2003) Olympic ranking based on a zero sum gains DEA model. Eur J Oper Res 148(2):312–322CrossRef Lins MPE, Gomes EG, Soares de Mello JCCB, Soares de Mello AJR (2003) Olympic ranking based on a zero sum gains DEA model. Eur J Oper Res 148(2):312–322CrossRef
Zurück zum Zitat Ma C-Q, Ren Y-S, Zhang Y-J, Sharp B (2018) The allocation of carbon emission quotas to five major power generation corporations in China. J Clean Prod 189:1–12CrossRef Ma C-Q, Ren Y-S, Zhang Y-J, Sharp B (2018) The allocation of carbon emission quotas to five major power generation corporations in China. J Clean Prod 189:1–12CrossRef
Zurück zum Zitat Ma MD, Cai WG (2020) Towards low carbon pathway of the commercial building sector for 2070: Lessons from China. Appl Energy Symp. 2020: Low carbon cities and urban energy systems. October 10–17, 2020. Paper ID: CUE2020-D-110 Ma MD, Cai WG (2020) Towards low carbon pathway of the commercial building sector for 2070: Lessons from China. Appl Energy Symp. 2020: Low carbon cities and urban energy systems. October 10–17, 2020. Paper ID: CUE2020-D-110
Zurück zum Zitat Ma MD, Ma X, Cai W, Cai WG (2020) Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak. Appl Energy. 273(2020), 115247. Ma MD, Ma X, Cai W, Cai WG (2020) Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak. Appl Energy. 273(2020), 115247.
Zurück zum Zitat Miao Z, Geng Y, Sheng J (2015) Efficient allocation of CO2 emissions in China: a zero sum gains data envelopment model. J Clean Prod 112:4144–4150CrossRef Miao Z, Geng Y, Sheng J (2015) Efficient allocation of CO2 emissions in China: a zero sum gains data envelopment model. J Clean Prod 112:4144–4150CrossRef
Zurück zum Zitat National Bureau of Statistics of China (NBSC) (2017a). Chinese statistics yearbook (CSY). Beijing: China Statistics. National Bureau of Statistics of China (NBSC) (2017a). Chinese statistics yearbook (CSY). Beijing: China Statistics.
Zurück zum Zitat National Bureau of Statistics of China (NBSC) (2017b). Chinese energy statistics yearbook (CESY). Beijing: China Statistics. National Bureau of Statistics of China (NBSC) (2017b). Chinese energy statistics yearbook (CESY). Beijing: China Statistics.
Zurück zum Zitat Pang R-Z, Deng Z-Q, Chiu Y-H (2015) Pareto improvement through a reallocation of carbon emission quotas. Renew Sustain Energy Rev 50:419–430CrossRef Pang R-Z, Deng Z-Q, Chiu Y-H (2015) Pareto improvement through a reallocation of carbon emission quotas. Renew Sustain Energy Rev 50:419–430CrossRef
Zurück zum Zitat Qin Q, Liu Y, Li X, Li H (2017) A multi-criteria decision analysis model for carbon emission quota allocation in China’s east coastal areas: efficiency and equity. J Clean Prod 168:410–419CrossRef Qin Q, Liu Y, Li X, Li H (2017) A multi-criteria decision analysis model for carbon emission quota allocation in China’s east coastal areas: efficiency and equity. J Clean Prod 168:410–419CrossRef
Zurück zum Zitat Qin QD, Liu Y, Huang JP (2020) A cooperative game analysis for the allocation of carbon emissions reduction responsibility in China's power industry. Energy Econ 92(2020), 104960. Qin QD, Liu Y, Huang JP (2020) A cooperative game analysis for the allocation of carbon emissions reduction responsibility in China's power industry. Energy Econ 92(2020), 104960.
Zurück zum Zitat Rose A (1990) Reducing conflict in global warming policy: the potential of equity as a unifying principle. Energy Policy 18(10):927–935CrossRef Rose A (1990) Reducing conflict in global warming policy: the potential of equity as a unifying principle. Energy Policy 18(10):927–935CrossRef
Zurück zum Zitat Rose A, Stevens B, Edmonds J, WISE M, (1998) International Equity and Differentiation in Global Warming Policy. Environ Resour Econ 12:25–51CrossRef Rose A, Stevens B, Edmonds J, WISE M, (1998) International Equity and Differentiation in Global Warming Policy. Environ Resour Econ 12:25–51CrossRef
Zurück zum Zitat Wu Q, Zhang H (2019) Research on optimization allocation scheme of initial carbon emission quota from the perspective of welfare effect. Energies 12(11):2118CrossRef Wu Q, Zhang H (2019) Research on optimization allocation scheme of initial carbon emission quota from the perspective of welfare effect. Energies 12(11):2118CrossRef
Zurück zum Zitat Xiao W, Qin D, Li W, Chu J (2009) Model for distribution of water pollutants in a lake basin based on environmental Gini coefficient. Acta Scientiae Circumstantiae.1765–1771. Xiao W, Qin D, Li W, Chu J (2009) Model for distribution of water pollutants in a lake basin based on environmental Gini coefficient. Acta Scientiae Circumstantiae.1765–1771.
Zurück zum Zitat Xu X, Zhao T, Liu N, Kang J (2014) Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective. Appl Energy 132:298–307CrossRef Xu X, Zhao T, Liu N, Kang J (2014) Changes of energy-related GHG emissions in China: An empirical analysis from sectoral perspective. Appl Energy 132:298–307CrossRef
Zurück zum Zitat Yang B, Li X, Su Y, Liu C, Xue F (2020) Carbon quota allocation at the provincial level in China under principles of equity and efficiency. Carbon Management 11(1):11–23CrossRef Yang B, Li X, Su Y, Liu C, Xue F (2020) Carbon quota allocation at the provincial level in China under principles of equity and efficiency. Carbon Management 11(1):11–23CrossRef
Zurück zum Zitat Yang C, Wu LJ, Li JF (2019) Distribution of carbon emission rights in China based on equity perspective. Resour Sci 41(10):1801–1813 Yang C, Wu LJ, Li JF (2019) Distribution of carbon emission rights in China based on equity perspective. Resour Sci 41(10):1801–1813
Zurück zum Zitat Yang, Y, Yang S (2020) Are industrial carbon emissions allocations in developing regions equitable? A case study of the northwestern provinces in china. J Environ Manag. 265, 110518. Yang, Y, Yang S (2020) Are industrial carbon emissions allocations in developing regions equitable? A case study of the northwestern provinces in china. J Environ Manag. 265, 110518.
Zurück zum Zitat Yao LM, He LH, Chen XD (2020) Trade-off between equity and efficiency for allocating wastewater emission permits in watersheds considering transaction. J Environ Manag. 270, 110898. Yao LM, He LH, Chen XD (2020) Trade-off between equity and efficiency for allocating wastewater emission permits in watersheds considering transaction. J Environ Manag. 270, 110898.
Zurück zum Zitat Yu A, You J, Rudkin S, Zhang H (2019) Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis. Appl Energy. 232–243. Yu A, You J, Rudkin S, Zhang H (2019) Industrial carbon abatement allocations and regional collaboration: Re-evaluating China through a modified data envelopment analysis. Appl Energy. 232–243.
Zurück zum Zitat Zhang Y-J, Wang A-D, Da Y-B (2014) Regional allocation of carbon emission quotas in China: evidence from the Shapley value method. Energy Policy 74:454–464CrossRef Zhang Y-J, Wang A-D, Da Y-B (2014) Regional allocation of carbon emission quotas in China: evidence from the Shapley value method. Energy Policy 74:454–464CrossRef
Zurück zum Zitat Zhou P, Wang M (2016) Carbon dioxide emissions allocation: a review. Ecol Econ 125:47–59CrossRef Zhou P, Wang M (2016) Carbon dioxide emissions allocation: a review. Ecol Econ 125:47–59CrossRef
Zurück zum Zitat Zou ZH, Yun Y, Sun JN (2006) Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. J Environ Sci 18(5):1020–1023CrossRef Zou ZH, Yun Y, Sun JN (2006) Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. J Environ Sci 18(5):1020–1023CrossRef
Metadaten
Titel
Allocation of carbon emission quotas in Chinese provinces based on Super-SBM model and ZSG-DEA model
verfasst von
Fang Chen
Tao Zhao
Hongmei Xia
Xiaoyan Cui
Zhiyuan Li
Publikationsdatum
18.06.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Clean Technologies and Environmental Policy / Ausgabe 8/2021
Print ISSN: 1618-954X
Elektronische ISSN: 1618-9558
DOI
https://doi.org/10.1007/s10098-021-02137-5

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