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Digitalized bioeconomy: Planned obsolescence-driven circular economy enabled by Co-Evolutionary coupling

机译:数字化生物经济:通过协同进化耦合实现计划的过时驱动的循环经济

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Driven by digital solutions, the bioeconomy is taking major steps forward in recent years toward achievement of the long-lasting goal of transition from a traditional fossil economy to a bioeconomy-based circular economy.The coupling of digitalization and bioeconomy is leading towards a digitalized bioeconomy that can satisfy the shift in consumers' preferences for eco-consciousness, which in turn induces coupling of up-down stream operation in the value chain.Thus, the co-evolution of the coupling of digitalization and bioeconomy and of upstream and downstream operations is transforming the forest-based bioeconomy into a digital platform industry.Aiming at addressing this transformation, a model was developed that explains above mentioned dynamism and demonstrated its reliability through an empirical analysis focusing on the development trajectory of UPM (forest-based ecosystem leader in Europe and a world pioneer in the circular economy) over the last quarter century, highlighting its efforts towards planned obsolescence-driven circular economy.It was comprehended that with the advancement of digital innovations, UPM has incorporated a self-propagating function that accelerates digital solution. Furthermore, this self-propagating function was triggered by coupling with a downstream leader, Amazon, in the United States.The dynamism in transforming a forest-based bioeconomy into a digital platform industry is thus clarified, and new insights common to all industries in the digital economy are provided.
机译:在数字化解决方案的推动下,生物经济正在朝着实现从传统化石经济向基于生物经济的循环经济过渡的长期目标迈出重大步伐。数字化与生物经济的结合正在导致数字化生物经济可以满足消费者对生态意识偏好的转变,从而引起价值链中的上下游操作的耦合。因此,数字化与生物经济耦合以及上下游操作的共同进化是将基于森林的生物经济转变为数字平台产业,针对这一转变,开发了一个模型,该模型解释了上述动态性并通过针对UPM(欧洲基于森林的生态系统领导者)发展轨迹的实证分析证明了其可靠性以及过去25年的循环经济领域的全球先驱)可以理解的是,随着数字创新的发展,芬欧汇川采用了自我传播功能,可以加速数字解决方案的发展。此外,这种自我传播的功能是由美国下游的亚马逊领导者共同触发的,从而阐明了将基于森林的生物经济转变为数字平台行业的动力,并为该行业的所有行业提供了新的见解。提供数字经济。

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