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Generation estimation and material flow analysis of retired mobile phones in China

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Abstract

The generation estimation of retired mobile phones is launched with the sales and new method using the revised sales data and amount of the subscribers. Several assumptions have been made due to the insufficient sources of the data. The sales data of legal mobile phones are calculated with the authoritative and continuous official data. The sales data of smuggled and counterfeit mobile phones in China are also estimated based on the behavior data collected from the questionnaires. The results of generation estimation show that there are 636.52 million mobile phones retired in 2020, compared with 14.44 million in 1999 and several negative values in 2000, 2001, and 2008. The annual total mass of retired mobile phones in China escalated with the contributions of both the increasing generation amount and constant mass of the single unit. There are 50,921.60 ton of mobile phones retired in 2020 compared with 1155.20 ton in 1999, while the peak is 58,131.20 ton in 2019. There are 26,066.80 ton of retired mobile phones are stockpiled in 2020, while 16,152.40 ton and 8702.40 ton of retired mobile phones are reused as a whole unit and recycled, respectively. In the retired mobile phones that are recycled, 4600.50 ton material is recovered and 1216.50 ton components are reused, while 2885.40 ton residues need final disposal. The amount and dynamic characteristics of metals in the retired mobile phones are also calculated. Based on the results, several policy implications are made to improve sustainable management system of retired mobile phones in China.

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Data availability

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

References

  • Al-Anzi BS, Al-Burait AA, Thomas A, Ong CS (2017) Assessment and modeling of E-waste generation based on growth rate from different telecom companies in the State of Kuwait. Environ Sci Pollut Res 24:27160–27174

    Article  Google Scholar 

  • Alghazo J, Ouda O, Alanezi F, Asam ZU, Rehan M, Salameh MH, Nizami AS (2019) Potential of electronic waste recycling in Gulf Cooperation Council states: an environmental and economic analysis. Environ Sci Pollut Res 26:35610–35619

    Article  Google Scholar 

  • Ambaye TG, Vaccari M, Castro FD, Prasad S, Rtimi S (2020) Emerging technologies for the recovery of rare earth elements (REEs) from the end-of-life electronic wastes: a review on progress, challenges, and perspectives. Environ Sci Pollut Res 27:36052–36074

    Article  CAS  Google Scholar 

  • Amphalop N, Suwantarat N, Prueksasit T, Yachusri C, Srithongouthai S (2020) Ecological risk assessment of arsenic, cadmium, copper, and lead contamination in soil in e-waste separating household area, Buriram province, Thailand. Environ Sci Pollut Res 27:44396–44411

    Article  CAS  Google Scholar 

  • Andersen T (2022) A comparative study of national variations of the European WEEE directive: manufacturer’s view. Environ Sci Pollut Res 29:19920–19939

    Article  Google Scholar 

  • Andrade DF, Romanelli JP, Pereira-Filho ER (2019) Past and emerging topics related to electronic waste management: top countries, trends, and perspectives. Environ Sci Pollut Res 26:17135–17151

    Article  Google Scholar 

  • Batoo KM, Pandiaraj S, Muthuramamoorthy M, Raslan EH, Krishnamoorthy S (2022) Behavior-based swarm model using fuzzy controller for route planning and E-waste collection. Environ Sci Pollut Res 29:19940–19954

    Article  Google Scholar 

  • Borthakur A, Singh P (2021) The journey from products to waste: a pilot study on perception and discarding of electronic waste in contemporary urban India. Environ Sci Pollut Res 28:24511–24520

    Article  Google Scholar 

  • Cai K, Song Q, Peng S, Yuan W, Liang Y, Li J (2020) Uncovering residents’ behaviors, attitudes, and WTP for recycling e-waste: a case study of Zhuhai city, China. Environ Sci Pollut Res 27:2386–2399

    Article  Google Scholar 

  • Duan H, Hu J, Tan Q, Liu L, Wang Y, Li J (2016) Systematic characterization of generation and management of e-waste in China. Environ Sci Pollut Res 23:1929–1943

    Article  CAS  Google Scholar 

  • Eugster M, Hischer R, Duan, H (2007) Key environmental impacts of the Chinese EEE Industry: a life cycle assessment study. EMPA and Tsinghua University, St Gallen and Beijing

  • Guo X, Yan K (2017) Estimation of obsolete cellular phones generation: a case study of China. Sci Total Environ 575:321–329

    Article  CAS  Google Scholar 

  • He P, Wang C, Zuo L (2018) The present and future availability of high-tech minerals in waste mobile phones: evidence from China. J Clean Prod 192:940–949

    Article  Google Scholar 

  • He P, Hu G, Wang C, Hewage K, Sadiq R, Feng H (2021a) Analyzing present and future availability of critical high-tech minerals in waste cellphones: a case study of India. Waste Manag 119:275–284

    Article  Google Scholar 

  • He Z, Ma J, Zhang Q (2021b) Managing a 5G mobile phone supply chain under the impact of strategic consumers: a two-period game analysis and applications. RAIRO-Oper Res 55(3):1423–1440

    Article  Google Scholar 

  • Ikhlayel M (2016) Differences of methods to estimate generation of waste electrical and electronic equipment for developing countries: Jordan as a case study. Resour Conserv Recycl 108:134–139

    Article  Google Scholar 

  • ITU (2021) https://www.itu.int. Accessed 28 August 2021

  • Jang YC, Kim M (2010) Management of used & end-of-life mobile phones in Korea: a review. Resour Conserv Recycl 55:11–19

    Article  Google Scholar 

  • Kastanaki E, Giannis A (2022) Forecasting quantities of critical raw materials in obsolete feature and smart phones in Greece: a path to circular economy. J Environ Manag 307:114566

    Article  CAS  Google Scholar 

  • Li B (2015) Life cycle analysis and management countermeasure of retired mobile phones in China. Dissertation, Chinese Academy of Sciences

  • Li B, Yang J, Lu B, Song X (2015) Estimation of retired mobile phones generation in China: a comparative study on methodology. Waste Manag 35:247–254

    Article  Google Scholar 

  • Li J, Ge Z, Liang C, An N (2017) Present status of recycling waste mobile phones in China: a review. Environ Sci Pollut Res 24:16578–16591

    Article  Google Scholar 

  • Li J, Song X, Yang D, Li B, Lu B (2020) Simulating the interprovincial movements of waste mobile phones in China based on the current disassembly capacity. J Clean Prod 244:118776

    Article  Google Scholar 

  • Li J, Xu T, Liu J, Wen J, Gong S (2021) Bioleaching metals from waste electrical and electronic equipment (WEEE) by Aspergillus niger: a review. Environ Sci Pollut Res 28:44622–44637

    Article  CAS  Google Scholar 

  • MIIT (2021) https://www.miit.gov.cn. Accessed 28 August 2021

  • NBS (2021) https://www.stats.gov.cn. Accessed 28 August 2021

  • Osibanjo O, Nnorom IC, Ogbonna KC (2008) Modelling waste generation by the telecom sector in Nigeria: the grey side of the impressive outing. Waste Manag Res 26:317–326

    Article  CAS  Google Scholar 

  • Polak M, Drapalova L (2012) Estimation of end of life mobile phones generation: the case study of the Czech Republic. Waste Manag 32:1583–1591

    Article  Google Scholar 

  • Rahmani M, Nabizadeh R, Yaghmaeian K, Mahvi AH, Yunesian M (2014) Estimation of waste from computers and mobile phones in Iran. Resour Conserv Recycl 87:21–29

    Article  Google Scholar 

  • Rutebuka E, Zhang L, Pang M (2015) Simulating the dynamics of e-waste production from mobile phone: model development and case study of Rwanda. J Environ Account Manag 3:309–322

    Article  Google Scholar 

  • Sharma M, Joshi S, Kumar A (2020) Assessing enablers of e-waste management in circular economy using DEMATEL method: an Indian perspective. Environ Sci Pollut Res 27:13325–13338

    Article  Google Scholar 

  • Singh N, Duan H, Yin F, Song Q, Li J (2018) Characterizing the materials composition and recovery potential from waste mobile phones: a comparative evaluation of cellular and smart phones. ACS Sustain Chem Eng 6:13016–13024

    Article  CAS  Google Scholar 

  • Singh N, Duan H, Ogunseitan OA, Li J, Tang Y (2019) Toxicity trends in E-Waste: a comparative analysis of metals in discarded mobile phones. J Hazard Mater 380:120898

  • Song Q, Wang Z, Li J, Duan H, Yu D, Zeng X (2017) Characterizing the transboundary movements of UEEE/WEEE: is Macau a regional transfer center? J Clean Prod 157:243–253

    Article  Google Scholar 

  • Song Q, Li J, Liu L, Dong Q, Yang J, Liang Y, Zhang C (2016) Measuring the generation and management status of waste office equipment in China: a case study of waste printers. J Clean Prod 112:4461–4468

    Article  Google Scholar 

  • Tan Q, Duan H, Liu L, Yang J, Li J (2018a) Rethinking residential consumers’ behavior in discarding obsolete mobile phones in China. J Clean Prod 195:1228–1236

    Article  Google Scholar 

  • Tan Q, Li J, Boljkovac C (2018b) Responding to China’s Waste Import Ban through a new, innovative, cooperative mechanism. Environ Sci Technol 52:7595–7597

    Article  CAS  Google Scholar 

  • Xie L, Ma J, Goh M (2021) Supply chain coordination in the presence of uncertain yield and demand. Int J Prod Res 59(14):4342–4358

    Article  Google Scholar 

  • Yang H, Song X, Zhang X, Lu B, Yang D, Li B (2021) Uncovering the in-use metal stocks and implied recycling potential in electric vehicle batteries considering cascaded use: a case study of China. Environ Sci Pollut Res 28:45867–45878

    Article  CAS  Google Scholar 

  • Yu D, Duan H, Song Q, Liu Y, Li Y, Li J, Shen W, Luo J, Wang J (2017a) Characterization of brominated flame retardants from e-waste components in China. Waste Manag 68:498–507

    Article  CAS  Google Scholar 

  • Yu D, Song Q, Wang Z, Li J, Duan H, Wang J, Wang C, Wang X (2017b) Quantifying the potential export flows of used electronic products in Macau: a case study of PCs. Environ Sci Pollut Res 24:28197–28204

    Article  Google Scholar 

  • Yu J, Williams E, Ju M (2010) Analysis of material and energy consumption of mobile phones in China. Energ Policy 38:4135–4141

    Article  Google Scholar 

  • Yuksekdag A, Kose-Mutlu B, Zeytuncu-Gokoglu B, Kumral M, Wiesner MR, Koyuncu I (2022) Process optimization for acidic leaching of rare earth elements (REE) from waste electrical and electronic equipment (WEEE). Environ Sci Pollut Res 29:7772–7781

    Article  CAS  Google Scholar 

  • Zeng X, Mathews JA, Li J (2018) Urban mining of E-waste is becoming more cost-effective than virgin mining. Environ Sci Technol 52:4835–4841

    Article  CAS  Google Scholar 

  • Zhu M, Li X, Ma J, Xu T, Zhu L (2022) Study on complex dynamics for the waste electrical and electronic equipment recycling activities oligarchs closed-loop supply chain. Environ Sci Pollut Res 29:4519–4539

    Article  CAS  Google Scholar 

Download references

Acknowledgements

The authors want to show their sincere gratitude for the respected editors and the anonymous referees for their help. We are grateful to the experts and anonymous reviewers for providing helpful suggestions, data reference, and amendment which contribute to improving the quality of this work.

Funding

This research was funded by the National Key R&D Program of China (No. 2018YFC1903604-01 and 2019YFC1906101), Sichuan Research Center for Mineral Resources (No. SCKCZY2019-ZD001 and SCKCZY2019-YB005), Innovation Capacity Enhancement Program of Hebei Province (NO. 21553301D), S&T Program of Xingtai (No. 2020ZZ047 and XTSKFZ2021056), and Xingtai Polytechnic College (No. 3020503 and 302031905).

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AL, BL1 (Bo LI), and XS came up with the original idea for this article; AL collected the data and wrote the paper; BL2 (Bin LU), DY, SH, and XS polished the article. All the authors read and approved the final manuscript.

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Correspondence to Bo Li.

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Li, A., Li, B., Lu, B. et al. Generation estimation and material flow analysis of retired mobile phones in China. Environ Sci Pollut Res 29, 75626–75635 (2022). https://doi.org/10.1007/s11356-022-21153-6

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