The Impact of Resource-Based Circular Economic Models in Japan

Bianca Yamaguchi et al.

Romanian Economic Business Review2020article
ABDC C
Weight
0.42

What the paper says

This paper illustrates the impact of education and digital technology adoption within the local community in Nagaoka (Japan) while proposing a business model focused on an increase in the creation of social value based on services, as opposed to incumbent models based on increasing the manufacturing and selling of physical products. The authors analyze the supply chains network common to local businesses to help them establish an active exchange of waste and bi-products for a more effective recycling and a more sustainable remanufacturing system. By taking into consideration all 17 of the United Nations’ Global Sustainable Goals (SDGs), this research work individually on the achievement of Goal 12 (Responsible production and consumption) on the one side, to establish the essential steps for a more viable resource-based circular economic model, with an application on manufacturing businesses, from the other hands, to create a sustainable, waste-free, closed-loop supply chain system in rural Japan. The methodological and conceptual-theoretical and practical architecture of this analysis is built to provide insights on the current state of affairs regarding essential resources. The focus is naturally on a centralized system for collecting and analyzing data on the availability of global resources (both raw and recyclable) to help small/medium enterprises and public organizations make more sustainable decisions.

3 citations

Cite this paper

@article{bianca2020,
  title        = {{The Impact of Resource-Based Circular Economic Models in Japan}},
  author       = {Bianca Yamaguchi et al.},
  journal      = {Romanian Economic Business Review},
  year         = {2020},
}

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The Impact of Resource-Based Circular Economic Models in Japan

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Evidence weight

0.42

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.18 × 0.4 = 0.07
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.