American Journal of Advanced Multidisciplinary Research and Innovation

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Interdisciplinary Research on Circular Economy and Green Innovation Strategies

Author(s) Harold Varmus
Country United States
Abstract The growing pressures of climate change, resource depletion, biodiversity loss, industrial pollution, and unsustainable consumption patterns have accelerated the global transition towards a Circular Economy (CE) and Green Innovation (GI) as fundamental strategies for achieving sustainable development. Unlike the traditional linear economic model based on the "take–make–dispose" approach, the circular economy promotes resource efficiency, waste minimisation, product life extension, recycling, remanufacturing, and regenerative production systems. Simultaneously, green innovation integrates environmentally friendly technologies, sustainable business models, renewable energy, eco-design, digital transformation, and low-carbon manufacturing to improve environmental performance while maintaining economic competitiveness. Emerging technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Big Data Analytics, Blockchain, Digital Twin Technology, Cloud Computing, Industry 5.0, and Life Cycle Assessment (LCA) are further accelerating the implementation of intelligent circular economy systems.
This study presents a comprehensive interdisciplinary analysis of Circular Economy and Green Innovation Strategies. A qualitative analytical research methodology based on secondary data is employed to investigate sustainable production, resource optimisation, waste valorisation, eco-innovation, circular business models, green supply chains, renewable energy integration, and digital sustainability. The research evaluates how multidisciplinary collaboration among engineering, environmental science, economics, business management, public policy, and information technology contributes to sustainable industrial transformation and resilient economic development.
The findings indicate that circular economy principles significantly improve resource productivity, waste reduction, carbon emission mitigation, energy efficiency, supply chain resilience, and organisational sustainability. Artificial Intelligence enhances predictive resource management, blockchain strengthens material traceability, IoT enables real-time environmental monitoring, while Digital Twin technology supports lifecycle optimisation and sustainable manufacturing. Furthermore, green innovation stimulates technological advancement, environmental protection, employment generation, and long-term economic competitiveness.
Despite these opportunities, challenges remain concerning regulatory inconsistencies, high implementation costs, technological readiness, consumer behaviour, infrastructure limitations, financial constraints, and cross-sector collaboration. Future research should investigate AI-enabled circular ecosystems, quantum-assisted resource optimisation, explainable sustainability analytics, carbon-neutral industrial systems, and globally interoperable circular economy governance frameworks.
The study concludes that interdisciplinary research integrating circular economy principles and green innovation strategies provides a comprehensive foundation for developing intelligent, resilient, resource-efficient, and environmentally sustainable economic systems that contribute to achieving the United Nations Sustainable Development Goals (SDGs).
Keywords Circular Economy, Green Innovation, Sustainable Development, Artificial Intelligence, Resource Efficiency, Green Supply Chain, Renewable Energy, Industry 5.0, Digital Twin, Environmental Sustainability.
Field Engineering
Published In Volume 2, Issue 2, March-April 2020
Published On 2020-03-22
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