Wang Ning, Bai Yubing, Guo Zhanqiang, Fan Yu, Meng Fanxin
Beijing Information Science and Technology University, School of Economics and Management, Beijing 100192, China; Beijing Key Lab of Green Development Decision Making Based on Big Data, Beijing 100192, China.
Beijing Information Science and Technology University, School of Economics and Management, Beijing 100192, China.
Sci Total Environ. 2024 Nov 15;951:175603. doi: 10.1016/j.scitotenv.2024.175603. Epub 2024 Aug 16.
Climate change and sustainable development drive transformation in economic development models. Carbon emission reduction and the circular economy propel climate change and sustainable development, yet it's unclear if they synergize or counteract each other. This study examines the question from theoretical and practical perspectives. Using a theory-practice framework, bibliometric and big data analyses were conducted on the Web of Science and Chinese case data, totaling 2.29GB, to explore synergies between carbon emission reduction and the circular economy. The study finds predominantly synergistic interactions between the circular economy and carbon emission reduction, with minimal offsetting effects. That is, the circular economy markedly enhances carbon emissions reduction. At the theoretical level, the two fields are gradually evolving towards in-depth research, while at the practical level, collaboration is coalescing around four areas: hot fields, potential fields, auxiliary fields and common goals. A noteworthy contribution of this study is the development of a framework that synergizes theory and practice, providing a structured approach for future research in this domain. By quantifying the synergistic and offsetting relationship between the circular economy and carbon emissions reduction through systematic big data analysis, this research offers insights essential for achieving the UN's Sustainable Development Goals. We also stress the need for diverse case studies and multi-dimensional analyses in ongoing research.
气候变化和可持续发展推动经济发展模式的转变。碳减排和循环经济推动气候变化与可持续发展，但它们是协同还是相互抵消尚不清楚。本研究从理论和实践角度审视了这一问题。利用理论-实践框架，对科学网和中国案例数据进行了文献计量和大数据分析，数据总量达2.29GB，以探索碳减排与循环经济之间的协同效应。研究发现，循环经济与碳减排之间主要存在协同相互作用，抵消效应极小。也就是说，循环经济显著增强了碳减排效果。在理论层面，这两个领域正逐渐朝着深入研究发展，而在实践层面，合作正围绕四个领域凝聚：热点领域、潜在领域、辅助领域和共同目标。本研究的一个显著贡献是开发了一个将理论与实践相结合的框架，为该领域的未来研究提供了一种结构化方法。通过系统的大数据分析量化循环经济与碳减排之间的协同和抵消关系，本研究为实现联合国可持续发展目标提供了至关重要的见解。我们还强调在后续研究中需要进行多样化的案例研究和多维度分析。
