Abstract
Studying the comprehensive performance of industrial carbon emission has profound significance for improving carbon allowance allocation scheme and achieving the carbon neutrality target. The paper selects 181 enterprises in Zhengzhou as the case, a comprehensive carbon emission performance indicator system and a carbon allowance allocation model were established, and compared with other allocation schemes (historical/baseline method). The results showed that the overall differences in the comprehensive performance evaluation indicator of carbon emissions in typical industries in Zhengzhou were obvious, and there was a correlation with the characteristics of industrial production activities. The overall emission reduction of Zhengzhou was 244.33×103t, and the emission reduction ratio was 7.94% by simulating carbon allowance allocation under the comprehensive performance. The carbon allowance allocation method based on the comprehensive performance has the strongest restraint on the “high emission, low performance” industry, which is more equitable and more conducive to carbon emission reduction. In the future, it will be recommended to give full play to the leading role of the government, implement industrial carbon allowance allocation based on the comprehensive performance evaluation of carbon emissions, to achieve multi–objectives of resource conservation, environmental pollution abatement, and carbon reduction.
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The data supporting to findings of this study are available from the first author upon reasonable request.
References
Anjos MF, Feijoo F, Sankaranarayanan S (2022) A multinational carbon-credit market integrating distinct national carbon allowance strategies. Appl Energy 319:119181. https://doi.org/10.1016/j.apenergy.2022.119181
Barrett J, Pye S, Betts-Davies S et al (2022) Energy demand reduction options for meeting national zero-emission targets in the United Kingdom. Nat Energy 7(8):726–735. https://doi.org/10.1038/s41560-022-01057-y
Beckerman W, Pasek J (1995) The equitable international allocation of tradable carbon emission permits. Glob Environ Chang 5:405–413. https://doi.org/10.1016/0959-3780(95)00054-R
Boettcher R, Zappe AL, de Oliveira PF, Machado ÊL, de Assis Lawisch-Rodriguez A, Rodriguez-Lopez DA (2020) Carbon Footprint of agricultural production and processing of tobacco (Nicotiana tabacum) in southern Brazil. Environ Technol Innov 18:100625. https://doi.org/10.1016/j.eti.2020.100625
Campagne CS, Roche P, Gosselin F et al (2017) Expert-based ecosystem services capacity matrices: dealing with scoring variability. Ecol Indic 79:63–72. https://doi.org/10.1016/j.ecolind.2017.03.043
Cao J, Ho MS, Ma R, Teng F (2021) When carbon emission trading meets a regulated industry: evidence from the electricity sector of China. J Public Econ 200:104470. https://doi.org/10.1016/j.jpubeco.2021.104470
Chang C, Lee H (2016) Taiwan’s renewable energy strategy and energy-intensive industrial policy. Renew Sustain Energy Rev 64:456–465. https://doi.org/10.1016/j.rser.2016.06.052
Chen B, Zhang H, Li W et al (2022) Research on provincial carbon quota allocation under the background of carbon neutralization. Energy Reports 8:903–915. https://doi.org/10.1016/j.egyr.2022.02.023
Chen Y, Ma J, Miao C, Ruan X (2020) Occurrence and environmental impact of industrial agglomeration on regional soil heavy metalloid accumulation: a case study of the Zhengzhou Economic and Technological Development Zone (ZETZ), China. J Clean Prod 245:118676. https://doi.org/10.1016/j.jclepro.2019.118676
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. https://doi.org/10.1016/j.jclepro.2018.02.079
Cunha-Zeri G, Guidolini JF, Branco EA, Ometto JP (2022) How sustainable is the nitrogen management in Brazil? A sustainability assessment using the Entropy Weight Method. J Environ Manage 316:115330. https://doi.org/10.1016/j.jenvman.2022.115330
Ding M, Li Y, Zhao R et al (2019) Carbon emission performance of quota allocation simulation-oriented industry: the case study of Zhengzhou. Journal of Natural. Resources. 34:1027–1040. https://doi.org/10.31497/zrzyxb.20190510 (In Chinese)
Fang K, Tang Y, Zhang Q et al (2019a) Will China peak its energy-related carbon emissions by 2030? Lessons from 30 Chinese provinces. Appl Energy 255:113852. https://doi.org/10.1016/j.apenergy.2019.113852
Fang K, Zhang Q, Long Y et al (2019b) 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. https://doi.org/10.1016/j.apenergy.2019.03.055
Feng H, Hu Y, Li C, Wang H (2023) Rolling horizon optimisation strategy and initial carbon allowance allocation model to reduce carbon emissions in the power industry: case of China. Energy 277:127659. https://doi.org/10.1016/j.energy.2023.127659
Feng M, Zhao R, Huang H et al (2022) Water–energy–carbon nexus of different land use types: the case of Zhengzhou. China. Ecol Indic 141:109073. https://doi.org/10.1016/j.ecolind.2022.109073
Gan L, Ren H, Cai W et al (2022) Allocation of carbon emission quotas for China’s provincial public buildings based on principles of equity and efficiency. Build Environ 216:108994. https://doi.org/10.1016/j.buildenv.2022.108994
He W, Yang Y, Gu W (2022) A comparative analysis of China’s provincial carbon emission allowances allocation schemes by 2030: a resource misallocation perspective. J Clean Prod 361:132192. https://doi.org/10.1016/j.jclepro.2022.132192
He W, Zhang B, Li Y, Chen H (2021) A performance analysis framework for carbon emission quota allocation schemes in China: perspectives from economics and energy conservation. J Environ Manage 296:113165. https://doi.org/10.1016/j.jenvman.2021.113165
Jin Y, Liu X, Chen X, Dai H (2020) Allowance allocation matters in China’s carbon emissions trading system. Energy Econ 92:105012. https://doi.org/10.1016/j.eneco.2020.105012
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 211:222–232. https://doi.org/10.1016/j.jclepro.2018.11.178
Li H, Zhu X, Chen J, Jiang F (2019) Environmental regulations, environmental governance efficiency and the green transformation of China’s iron and steel enterprises. Ecol Econ 165:106397. https://doi.org/10.1016/j.ecolecon.2019.106397
Li Y, Li M, Zheng Z et al (2023) Trends in drought and effects on carbon sequestration over the Chinese mainland. Sci Total Environ 856:159075. https://doi.org/10.1016/j.scitotenv.2022.159075
Liu X, Jin Z (2020) An analysis of the interactions between electricity, fossil fuel and carbon market prices in Guangdong, China. Energy Sustain Dev 55:82–94. https://doi.org/10.1016/j.esd.2020.01.008
Liu X, Tao X, Wen Y, Zeng Y (2022) Improving carbon emission performance of thermal power plants in China: an environmental benchmark selection approach. Comput Ind Eng 169:108249. https://doi.org/10.1016/j.cie.2022.108249
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. https://doi.org/10.1016/j.jclepro.2018.04.006
Peng H, Qi S, Cui J (2021) The environmental and economic effects of the carbon emissions trading scheme in China: the role of alternative allowance allocation. Sustain Prod Consum 28:105–115. https://doi.org/10.1016/j.spc.2021.03.031
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 168:410–419. https://doi.org/10.1016/j.jclepro.2017.08.220
Shi B, Li N, Gao Q, Li G (2022) Market incentives, carbon quota allocation and carbon emission reduction: evidence from China’s carbon trading pilot policy. J Environ Manage 319:115650. https://doi.org/10.1016/j.jenvman.2022.115650
Shojaei T, Mokhtar A (2022) Carbon mitigation by quota allocation. J Environ Manage 304:114097. https://doi.org/10.1016/j.jenvman.2021.114097
Shternshis A, Mazzarisi P, Marmi S (2022) Measuring market efficiency: the Shannon entropy of high-frequency financial time series. Chaos, Solitons Fractals 162:112403. https://doi.org/10.1016/j.chaos.2022.112403
Steininger KW, Williges K, Meyer LH et al (2022) Sharing the effort of the European Green Deal among countries. Nat Commun 13:3673. https://doi.org/10.1038/s41467-022-31204-8
Teixidó J, Verde SF, Nicolli F (2019) The impact of the EU Emissions Trading System on low-carbon technological change: the empirical evidence. Ecol Econ 164:106347. https://doi.org/10.1016/j.ecolecon.2019.06.002
Wang F, Ge X (2022) Inter-provincial responsibility allocation of carbon emission in China to coordinate regional development. Environ Sci Pollut Res 29:7025–7041. https://doi.org/10.1007/s11356-021-16097-2
Wang M, Zhao R, Li B (2021) Impact of financing models and carbon allowance allocation rules in a supply chain. J Clean Prod 302:126794. https://doi.org/10.1016/j.jclepro.2021.126794
Wang Q, Li X, Zhang Z et al (2018) Carbon emissions reduction in tobacco primary processing line: a case study in China. J Clean Prod 175:18–28. https://doi.org/10.1016/j.jclepro.2017.11.055
Wang Q, Zhou P, Shen N, Wang S (2013) Measuring carbon dioxide emission performance in Chinese provinces: a parametric approach. Renew Sustain Energy Rev 21:324–330. https://doi.org/10.1016/j.rser.2012.12.061
Wu J, Guo Q, Yuan J et al (2019) An integrated approach for allocating carbon emission quotas in China’s emissions trading system. Resour Conserv Recycl 143:291–298. https://doi.org/10.1016/j.resconrec.2019.01.001
Yang S, Lu T, Huang T, Wang C (2022) Re-examining the effect of carbon emission trading policy on improving the green innovation of China’s enterprises. Environ Sci Pollut Res 30(3):7696–7717. https://doi.org/10.1007/s11356-022-22621-9
Yu A, Lin X, Zhang Y et al (2019) Analysis of driving factors and allocation of carbon emission allowance in China. Sci Total Environ 673:74–82. https://doi.org/10.1016/j.scitotenv.2019.04.047
Yu Y, Su Y, Qi C (2022) Comparing potential cost savings of energy quota trading and carbon emissions trading for China’s industrial sectors. Resour Conserv Recycl 186:106544. https://doi.org/10.1016/j.resconrec.2022.106544
Zhang F, Wang X, Liu G (2022) Allocation of carbon emission quotas based on global equality perspective. Environ Sci Pollut Res 29:53553–53568. https://doi.org/10.1007/s11356-022-19619-8
Zhang L, Li Y, Jia Z (2018) Impact of carbon allowance allocation on power industry in China’s carbon trading market: computable general equilibrium based analysis. Appl Energy 229:814–827. https://doi.org/10.1016/j.apenergy.2018.08.055
Zhang Y, Hao J (2017) Carbon emission quota allocation among China’s industrial sectors based on the equity and efficiency principles. Ann Oper Res 255:117–140. https://doi.org/10.1007/s10479-016-2232-2
Zhang Y, Liang T, Jin Y, Shen B (2020) The impact of carbon trading on economic output and carbon emissions reduction in China’s industrial sectors. Appl Energy 260:114290. https://doi.org/10.1016/j.apenergy.2019.114290
Zhao B, Yang W (2022) Allocation of carbon emission allowance based on DLA-GA model: a case study in China. Environ Sci Pollut Res 29:15743–15762. https://doi.org/10.1007/s11356-021-16643-y
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. https://doi.org/10.1016/j.jclepro.2016.10.159
Zhou P, Wang M (2016) Carbon dioxide emissions allocation: a review. Ecol Econ 125:47–59. https://doi.org/10.1016/j.ecolecon.2016.03.001
Zhu J, Fan Y, Deng X, Xue L (2019) Low-carbon innovation induced by emissions trading in China. Nat Commun 10:4088. https://doi.org/10.1038/s41467-019-12213-6
Zhu R, Zhao R, Sun J et al (2021) Temporospatial pattern of carbon emission efficiency of China’s energy-intensive industries and its policy implications. J Clean Prod 286:125507. https://doi.org/10.1016/j.jclepro.2020.125507
Funding
This work was supported by the National Natural Science Foundation of China (No.41971241 and No.42277325), Science & Technology Innovation Talents in Universities of Henan Province (No.2021-CX-011), Social Science Planning and Decision Consulting Project of Henan Province (2022JC44), Funded Projects for Returned Talents of Henan Province, and Open Fund of Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Regions (No.GTYR202201)
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Ruishi Li: conceptualization, methodology, investigation, data curation, formal analysis, writing—original draft, writing—review and editing; Rongqin Zhao: conceptualization, writing—review and editing, supervision; Jiao Yu: methodology, formal analysis, writing—review and editing; Minglei Ding: writing—review and editing; Lipeng Hou: data curation, writing—review and editing; Zhixiang Xie: writing—review and editing; Liangang Xiao: writing—review and editing; Xiaowei Chuai: writing—review and editing.
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Li, R., Zhao, R., Yu, J. et al. Carbon allowance allocation based on comprehensive performance of carbon emissions: Case of typical industries in Zhengzhou. Environ Sci Pollut Res 30, 82575–82588 (2023). https://doi.org/10.1007/s11356-023-28159-8
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DOI: https://doi.org/10.1007/s11356-023-28159-8