Exploring influencing factors of WEEE social recycling behavior: A Chinese perspective

Liu, Tingting; Cao, Jintao; Wu, Yufeng; Weng, Zhixiong; Senthil, Raja Arumugam; Yu, Lu

doi:10.1016/j.jclepro.2021.127829

Cited by 32 publications

(14 citation statements)

References 53 publications

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“…Only slightly more than 17% of this figure was properly collected and recycled. Given the fast-developing technological environment, changing consumer behavior, population growth, shorter lifespans of products and overall dynamic on the market, e-waste is recognized as the fastest growing waste stream nowadays (Favot and Grassetti, 2017;Liu et al, 2021). E-waste includes a broad category of electronic products (e.g.…”

Section: Introductionmentioning

confidence: 99%

Examining country development indicators and e-waste under the moderating effect of country development levels and e-waste policy

Kalia

Zia

Mladenović

2021

IJQRM

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PurposeThe purpose of this paper is to investigate if country development indicators, i.e. gross domestic product per capita (GDPPC), literacy rate, internet penetration and urban population, influence the generation of e-waste on a global level. The moderation effect due to differences between countries in terms of absence or presence of e-waste policy and level of development is also checked.Design/methodology/approachThis is an archival study that builds upon data from United Nations (UN), World Bank and Global E-waste Statistics Partnership. The authors did a path analysis comprising mediation and multigroup analyses to decipher the proposed rese arch model containing data from 172 countries.FindingsThe results indicate that GDPPC, literacy rate, internet penetration and urban population do not directly influence the generation of e-waste. However, higher internet penetration in developing countries leads to higher e-waste, while higher literacy rates in developed countries suppress e-waste generation. When it comes to e-waste policy, a higher urban population without a regulatory legal framework boosts higher e-waste. The authors observed that higher internet penetration leads to higher e-waste in the presence of e-waste policy as well.Originality/valueThis is the first study to include economic well-being indicators in elaborating e-waste generation, on a global scale. No previous study has observed differences between countries nested in e-waste policy and level of development.

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Section: Introductionmentioning

confidence: 99%

Examining country development indicators and e-waste under the moderating effect of country development levels and e-waste policy

Kalia

Zia

Mladenović

2021

IJQRM

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“…Both are targeted discussions under the framework of an integrated logistics packaging recycling system. Although the two models are independent, they are complementary to the recycling system [14,15]. In the packaging industry and circular economy industry, some recycling companies have also carried out packaging waste recycling mechanisms and model exploration.…”

Section: Structure and Basic Assumptions Of The Dual Channel Packagin...mentioning

confidence: 99%

CAD Design for Recycling and Utilization of Waste Packaging from the Perspective of Ecological Criticism

Jia

2022

Advances in Multimedia

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In order to realize the value of packaging waste through recycling, detection, classification, maintenance, and reprocessing, the model construction and simulation study of logistics packaging recycling and utilization were put forward. This paper takes logistics companies as the research object, aiming at the business model of logistics companies, uses the Internet of things recycling machine for packaging recycling, and establishes a dual channel packaging recycling model. This model is intended to compare and analyze the difference between traditional packaging waste recycling channel and intelligent recycling machine of the internet of things in terms of recycling cost, profit, recovery rate, waste incineration rate, and other aspects. It is assumed that the recycling proportion of the two channels accounts for half of the packaging waste. The results of simulation analysis on recycling and utilization of dual-channel packaging waste show that in the simulated time period, the recycling rate of the intelligent recycling machine using the internet of things is higher than that of the traditional dispersed recycling vendors. Assume that when the recycling frequency = 2, when the recycling frequency is increased to 2 times a day, the recycling time of the internet of things recycling machine is further shortened, and the recycling efficiency is improved. At the same time, due to the improvement of the recycling rate of the internet of things recycling machine, the amount of waste packaging decreases, so the recycling rate of the dispersed recycling vendors decreases accordingly. The recycling revenue and net profit generated by channel 2 (internet of things recycling machine) are higher than those generated by channel 1 (decentralized recycling vendor responsible for recycling). The average profit of channel 2 is about 28,163.69 yuan, while the average profit of channel 1 is only 9,395.89 yuan. The waste recovered through channel 2 is lower than that in channel 1; the average for channel 1 is 15.58 tons. However, the average value of channel 2 is 14.58 tons. Comprehensive analysis shows that channel 2 has obvious advantages in reducing waste discharge. However, it is necessary to strengthen the research and development of recycling technology, improve the reuse efficiency, and reduce the incineration of nonreusable waste as much as possible to the minimum, which proves the robustness of this paper to the logistics packaging recycling model construction. It is proved that the robustness of this paper for logistics packaging recycling model construction provides strong support for the analysis of waste pallets and packaging recycling-related issues.

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“…Waste Electrical and Electronic Equipment (WEEE) management is a global challenge. , As the largest producer, China generated 5.3 million tons of household waste appliances in 2020, , equaling 2.7 times that generated in the UK; and China’s WEEE continues growing with a projection up to 28.4 million tons by 2030 . Recycling WEEE means resource regeneration that economically benefits recycling enterprises. − By 2030, China will be able to obtain an additional 10 million tons of iron, 5.6 million tons of plastic, 2.6 million tons of copper, and 1.5 million tons of aluminum as a result of WEEE recycling .…”

Section: Introductionmentioning

confidence: 99%

Carbon Trading in China Reduces the Dependence of Household Waste Electrical and Electronic Equipment Recycling on Government Subsidies

Zhang,

Song,

et al. 2023

Environ. Sci. Technol.

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China's enterprises of waste electrical and electronic equipment (WEEE) recycling suffer from low profitability that is highly dependent on government subsidies. This low economic gain impedes the sustainable growth of China's WEEE-recycling sector and also adds to the government's financial burden. Prior life-cycle studies have approved the carbon reduction potentials or net carbon credit of recycling WEEE. However, policymakers fail to know whether the revenue from selling carbon credits can offset the government's financial subsidy. We performed life-cycle and costbenefit analyses for a case recycling enterprise that processes six categories of household appliances. The results show that the reduction potentials of greenhouse gases range from 930−3450 kgCO 2 e by recycling per ton of household appliances and materials substitution. The recycling enterprise would gain extra revenue ranging from 32 to 160 RMB per ton of appliance if the carbon credits were sold at China's current carbon price, i.e., 45−60 RMB tCO 2 e −1 . Recycling waste refrigerators exhibits the highest carbon revenue, offsetting 6−17% of the government's financial subsidy. Microcomputers, by contrast, indicate the lowest carbon revenue, equivalent to 1−3% of its highest government subsidy. For each household appliance category, when the carbon price reaches 270− 600 RMB tCO 2 e −1 , selling carbon credits can fully offset the government's financial subsidy. Constrained by the processing capacity of the case enterprise, optimizations for appliance-recycling composition contribute a 15−25% profit growth to the current economic gains. Interpreting the specific profit depends on the predefined scenarios of carbon price and the substitution rate of the regenerated materials for the virginal ones. Our findings show that raising the profitability of WEEE recycling enterprises through the carbon trading policy contributes to the sustainable growth of China's WEEE-recycling sector while alleviating the government's financial burden.

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Exploring influencing factors of WEEE social recycling behavior: A Chinese perspective

Cited by 32 publications

References 53 publications

Examining country development indicators and e-waste under the moderating effect of country development levels and e-waste policy

Examining country development indicators and e-waste under the moderating effect of country development levels and e-waste policy

CAD Design for Recycling and Utilization of Waste Packaging from the Perspective of Ecological Criticism

Carbon Trading in China Reduces the Dependence of Household Waste Electrical and Electronic Equipment Recycling on Government Subsidies

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