Analysis of the Knowledge Structure and Dynamic Evolution Mapping in Total Factor Productivity Research
The development of new quality productivity is primarily characterized by a significant increase in total factor productivity,reflecting the important role of total factor productivity in promoting high-quality economic development.To grasp the current state of research on total factor productivity,this study analyzes the knowledge structure and dynamic evolution of domestic literature related to total factor productivity.Utilizing various bibliometric tools and research methods,it aims to reveal the evolutionary patterns of total factor productivity research,providing references for theoretical research and the contribution of total factor productivity to China's high-quality development.Analysis of the knowledge structure in total factor productivity research reveals high-frequency keywords such as green total factor productivity,enterprise total factor productivity,agricultural total factor productivity,high-quality development,environmental regulation,technological progress,and financing constraints.Cluster analysis identifies eight clusters:green total factor productivity,enterprise total factor productivity,agricultural total factor productivity,resource efficiency,resource allocation,resource management,regional differences,and service industry and environment.Co-occurrence network analysis of high-frequency keywords shows that research hotspots in total factor productivity focus on green development,technological innovation,industrial structure,spatial economics,and resource allocation.From the perspective of burst detection analysis,recent research hotspots include digital economy,green innovation,financial development,and industrial chain resilience.The continuous refinement of research granularity reflects obvious characteristics of the times,indicating that scholars can closely follow national policy orientations and practical needs in their research.The research themes are becoming increasingly diverse in response to changes in national policies.
total factor productivityknowledge graphbibliometricsknowledge structuredynamic evolutionresearch hotspots
NETL
NSTL
万方数据
