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Analysis on influencing factors of carbon emissions from China’s pulp and paper industry and carbon peaking prediction

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Abstract

China’s pulp and paper industry (CPPI) has been always the main carbon emission source in recent years. However, the analysis on influencing factors of carbon emissions from this industry is insufficient. To address the issue, the CO2 emissions from CPPI are estimated in the period of 2005–2019, the driving factors of CO2 emissions are investigated by the logarithmic mean Divisia index (LMDI) method, the decoupling state of economic growth and CO2 emissions is determined by Tapio decoupling model, and finally, future CO2 emissions are predicted under four scenarios by the STIRPAT model to explore the potential of carbon peaking. The results show that CPPI exhibits a rapid increase and a fluctuating downward trend in CO2 emissions during the period of 2005–2013 and 2014–2019, respectively. The main promoting and inhibiting factors to the increase of CO2 emission are per capita industrial output value and energy intensity, respectively. There are five decoupling states of CO2 emissions and economic growth during the study period, and the CO2 emissions exhibit a weak decoupling state with the industrial output value growth in most years of the study period. It is very difficult to realize the carbon peaking goal by 2030 under the baseline and fast development scenarios. Therefore, efficient low carbon and strong low-carbon development policies are necessary and urgent for the realization of carbon peaking goal and the sustainable development of CPPI.

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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

  • Ang BW (2015) LMDI decomposition approach: a guide for implementation. Energy Policy 86:233–238

    Article  Google Scholar 

  • Chen W, Yan S (2022) The decoupling relationship between CO2 emissions and economic growth in the Chinese mining industry under the context of carbon neutrality. J Clean Prod 379:134692

    Article  CAS  Google Scholar 

  • CPA (2022) Outline of the “14th Five-Year Plan” and medium- and long-term high-quality development of the paper industry. China Paper Newsletters 1:9–13

    Google Scholar 

  • He Y, Xing Y, Zeng X, Ji Y, Hou H, Zhang Y, Zhu Z (2022) Factors influencing carbon emissions from China’s electricity industry: analysis using the combination of LMDI and K-means clustering. Environ Impact Assess Rev 93:106724

    Article  Google Scholar 

  • Jin B, Han Y (2021) Influencing factors and decoupling analysis of carbon emissions in China’s manufacturing industry. Environ Sci Pollut Res 28:64719–64738

    Article  Google Scholar 

  • Kong L, Hasanbeigi A, Price L, Liu H (2017) Energy conservation and CO2 mitigation potentials in the Chinese pulp and paper industry. Resour Conserv Recycl 117:74–84

    Article  Google Scholar 

  • Kong L, Zhao J, Li J, Lou R, Zhang Y (2020) Evaluating energy efficiency improvement of pulp and paper production: case study from factory level. J Clean Prod 277:124018

    Article  Google Scholar 

  • Li K, Zhou Y, Xiao H, Li Z, Shan Y (2021) Decoupling of economic growth from CO2 emissions in Yangtze River Economic Belt cities. Sci Total Environ 775:145927

    Article  CAS  Google Scholar 

  • Li W, Zhang S, Lu C (2022) Exploration of China’s net CO2 emissions evolutionary pathways by 2060 in the context of carbon neutrality. Sci Total Environ 831:154909

    Article  CAS  Google Scholar 

  • Lin B, Ma R (2022) Towards carbon neutrality: the role of different paths of technological progress in mitigating China’s CO2 emissions. Sci Total Environ 813:152588

    Article  CAS  Google Scholar 

  • Liu X, Li S (2021) A comparison analysis of the decoupling carbon emissions from economic growth in three industries of Heilongjiang province in China. Environ Sci Pollut Res 28:65200–65215

    Article  CAS  Google Scholar 

  • Liu M, Zhang X, Zhang M, Feng Y, Liu Y, Wen J, Liu L (2021) Influencing factors of carbon emissions in transportation industry based on CD function and LMDI decomposition model: China as an example. Environ Impact Assess Rev 90:106623

    Article  Google Scholar 

  • Man Y, Li J, Hong M, Han Y (2020) Energy transition for the low-carbon pulp and paper industry in China. Renew Sustain Energy Rev 131:109998

    Article  CAS  Google Scholar 

  • NDRC (2015) Guidelines for accounting methods and reporting of greenhouse gas emissions from paper and paper products production enterprises. Beijing, China

    Google Scholar 

  • OECD (2001): Environmental strategy for the first decade of the 21st century: adopted by OECD environmental ministers (Organisation for Economic Co-operation and Development).

  • Pan C, Wang B, Hou X, Gu Y, Xing Y, Liu Y, Wen W, Fang J (2023) Carbon peak path of the Chinese iron and steel industry based on the LMDI-STIRPAT model. Chin J Eng 45:1034–1044

    Google Scholar 

  • Peng L, Zeng X, Wang Y, Hong G-B (2015) Analysis of energy efficiency and carbon dioxide reduction in the Chinese pulp and paper industry. Energy Policy 80:65–75

    Article  CAS  Google Scholar 

  • Peng D, Yi J, Chen A, Chen H, Yang J (2022): Decoupling trend and emission reduction potential of CO2 emissions from China's petrochemical industry. Environmental Science and Pollution Research, 1–15

  • Quan C, Cheng X, Yu S, Ye X (2020) Analysis on the influencing factors of carbon emission in China’s logistics industry based on LMDI method. Sci Total Environ 734:138473

    Article  CAS  Google Scholar 

  • Shang D, Diao G, Liu C, Yu L (2021) The impact of waste paper recycling on the carbon emissions from China’s paper industry. Environ Manage 67:811–821

    Article  Google Scholar 

  • Song H, Hou G, Xu S (2023) CO2 emissions in China under electricity substitution: influencing factors and decoupling effects. Urban Climate 47:101365

    Article  Google Scholar 

  • Tapio P (2005) Towards a theory of decoupling: degrees of decoupling in the EU and the case of road traffic in Finland between 1970 and 2001. Transp Policy 12:137–151

    Article  Google Scholar 

  • Wang Y, Yang X, Sun M, Ma L, Li X, Shi L (2016) Estimating carbon emissions from the pulp and paper industry: a case study. Appl Energy 184:779–789

    Article  CAS  Google Scholar 

  • Wang X, Wei Y, Shao Q (2020) Decomposing the decoupling of CO2 emissions and economic growth in China’s iron and steel industry. Resour Conserv Recycl 152:104509

    Article  Google Scholar 

  • Wang H, Li B, Khan MQ (2022a) Prediction of Shanghai electric power carbon emissions based on improved STIRPAT model. Sustainability 14:13068

    Article  CAS  Google Scholar 

  • Wang M, Wu L, Guo X (2022b) Application of grey model in influencing factors analysis and trend prediction of carbon emission in Shanxi Province. Environ Monit Assess 194:542

    Article  CAS  Google Scholar 

  • Wang M, Zhu C, Cheng Y, Du W, Dong S (2023) The influencing factors of carbon emissions in the railway transportation industry based on extended LMDI decomposition method: evidence from the BRIC countries. Environ Sci Pollut Res 30:15490–15504

    Article  CAS  Google Scholar 

  • Wen L, Shao H (2019) Analysis of influencing factors of the carbon dioxide emissions in China’s commercial department based on the STIRPAT model and ridge regression. Environ Sci Pollut Res 26:27138–27147

    Article  CAS  Google Scholar 

  • Wen L, Song Q (2022) Simulation study on carbon emission of China’s freight system under the target of carbon peaking. Sci Total Environ 812:152600

    Article  CAS  Google Scholar 

  • Wu Y, Chau KW, Lu W, Shen L, Shuai C, Chen J (2018) Decoupling relationship between economic output and carbon emission in the Chinese construction industry. Environ Impact Assess Rev 71:60–69

    Article  Google Scholar 

  • Wu Y, Zhou Y, Liu Y, Liu J (2022) A race between economic growth and carbon emissions: how will the CO2 emission reach the peak in transportation industry? Front Energy Res 9:778757

    Article  Google Scholar 

  • Yang J, Hua Y, Ye J, Xu S, Liu Z (2022) CO2 emissions accounting and carbon peak prediction of China’s papermaking industry. Forests 13:1856

    Article  Google Scholar 

  • Yang F, Shi L, Gao L (2023) Probing CO2 emission in Chengdu based on STRIPAT model and Tapio decoupling. Sustain Cities Soc 89:104309

    Article  Google Scholar 

  • York R, Rosa EA, Dietz T (2003): Footprints on the earth: the environmental consequences of modernity. American sociological review, 279–300

  • Zeng Q-H, He L-Y (2023) Study on the synergistic effect of air pollution prevention and carbon emission reduction in the context of “dual carbon”: evidence from China’s transport sector. Energy Policy 173:113370

    Article  CAS  Google Scholar 

  • Zhang L, Shen Q, Wang M, Sun N, Wei W, Lei Y, Wang Y (2019) Driving factors and predictions of CO2 emission in China’s coal chemical industry. J Clean Prod 210:1131–1140

    Article  CAS  Google Scholar 

  • Zhang W, Xu Y, Wang C, Streets DG (2022) Assessment of the driving factors of CO2 mitigation costs of household biogas systems in China: a LMDI decomposition with cost analysis model. Renew Energy 181:978–989

    Article  CAS  Google Scholar 

  • Zhou X, Zhang M, Zhou M, Zhou M (2017) A comparative study on decoupling relationship and influence factors between China’s regional economic development and industrial energy–related carbon emissions. J Clean Prod 142:783–800

    Article  CAS  Google Scholar 

  • Zou X, Li J, Zhang Q (2023) CO2 emissions in China’s power industry by using the LMDI method. Environ Sci Pollut Res 30:31332–31347

    Article  CAS  Google Scholar 

Download references

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Authors and Affiliations

  1. Jinshan College, Fujian Agriculture and Forestry University, Fuzhou, Fujian, 350002, People’s Republic of China

    Hongping Wang

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  1. Hongping Wang
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Hongping Wang: conceptualization, investigation, methodology, data curation, software, formal analysis, and writing.

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Correspondence to Hongping Wang.

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Wang, H. Analysis on influencing factors of carbon emissions from China’s pulp and paper industry and carbon peaking prediction. Environ Sci Pollut Res 30, 86790–86803 (2023). https://doi.org/10.1007/s11356-023-28483-z

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