
China's current development focuses on high-quality economic development (HQED), which aims to enhance the efficiency and qualityof growth while simultaneously advancing social, economic, and environmental progress. This approach not only improves the quality of life but also increases national wealth. Despite its significance, HQED has not garnered much global attention. To address this gap, this study employs bibliometric methods and VOS viewer software to analyse the evolution and primary research hotspots of HQED. The findings reveal that the evolution of HQED research can be divided into two distinct periods: (i) from 2018 to 2020, when HQED was still in its infancy, and (ii) from 2021 to 2023, which saw a rapid increase in the number of HQED publications. China has emerged as the leading contributor to HQED research. The journal "Sustainability" serves as the main outlet, while the Chinese Academy of Sciences is the most active institution in HQED studies. The most cited author is Zhang Wei. The research is organised into several key clusters: Cluster 1 focuses on research methods used in HQED studies, while Clusters 2 and 3 introduce more green elements and onsiderations of environmental quality. Cluster 4 emphasises the importance of innovation and financial development. Clusters 5 and 6 address topics related to the digital economy, digital finance, and digital transformation, whereas Cluster 7 highlights China's focus on high-quality development. broaden the scope of HQED to include areas such as green innovation, digital economies, and human capital.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
