Technology adoption and diffusion in the plastics value chain: From users and recyclers to recyclate uptake

Kalim Shah, Idowu Kunlere
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引用次数: 0

Abstract

Despite recent progress and growing investments in plastic recycling technologies, the market uptake of recycled PET products remains persistently low, exposing a critical disconnect between technological development and real-world adoption. While existing research emphasizes waste collection and technical bottlenecks, limited attention has been paid to how industrial recyclers and manufacturers navigate adoption decisions that ultimately shape the diffusion and integration of plastic recycling technologies across production systems. This study addresses that gap by applying a fuzzy Delphi TOPSIS method to evaluate six PET plastic recycling technologies and twenty-five criteria influencing adoption and uptake decisions. We identify efficiency, pricing structures, consumer willingness, incentives, energy consumption, and public awareness as some of the most influential factors. Mechanical recycling is the most preferred technology, balancing cost, compatibility, and environmental performance. These findings reveal how adoption is shaped by technical efficacy and perceptions of risk, cost, and alignment with market norms. The study offers a decision-driven lens for designing targeted policy interventions and scaling viable recycling solutions within circular economy frameworks, highlighting these dynamics.
塑料价值链中的技术采用和扩散:从用户和回收商到回收利用
尽管塑料回收技术最近取得了进展,投资不断增加,但回收PET产品的市场占有率仍然很低,暴露了技术发展与现实世界采用之间的严重脱节。虽然现有的研究强调废物收集和技术瓶颈,但对工业回收商和制造商如何做出最终影响塑料回收技术在生产系统中的扩散和整合的采用决策的关注有限。本研究通过应用模糊德尔菲TOPSIS方法来评估六种PET塑料回收技术和影响采用和吸收决策的25个标准,从而解决了这一差距。我们认为效率、定价结构、消费者意愿、激励措施、能源消耗和公众意识是一些最具影响力的因素。机械回收是最优选的技术,平衡成本,兼容性和环保性能。这些发现揭示了技术的有效性、风险、成本以及与市场规范的一致性是如何影响采用的。该研究为在循环经济框架内设计有针对性的政策干预和推广可行的回收解决方案提供了决策驱动的视角,突出了这些动态。
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CiteScore
2.60
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