With the widespread application of qualitative research methods in social sciences, grounded theory, as one of the core methods, has coding quality that directly affects the validity and credibility of the theory. The article first elaborates on the connotations and evaluation dimensions of coding quality, pointing out that high-quality coding should meet the requirements of grounded theory in both the process and result dimensions. The main challenges faced in the coding process are the subjectivity of researchers, the complexity of qualitative data, and the lack of unified coding standards. By synthesizing existing research, this paper proposes a systematic coding quality assurance theoretical model, aiming to improve the standardization and scientificity of the coding process. The model emphasizes five key dimensions: researcher quality, coding strategies, reflective practice, collaboration mechanisms, and technical support, and explores how they jointly contribute to the improvement of coding quality. The interrelationships between these dimensions are explicitly discussed to demonstrate their interconnected nature and mutual influence. In addition, the article also discusses the innovativeness and theoretical significance of the model, as well as future research directions, providing new theoretical references and practical guidance for coding quality in qualitative research.

Talents play a key role in supporting high-quality economic development. A talent support system typically focuses on five elements: talent quantity, quality, structure, efficiency, and potential. Utilizing an entropy weight method and a coupling coordination degree model, this study analyzed the coupling coordination degree and spatial correlation between regional talent support and high-quality economic development in China utilizing panel data from 31 provinces. The results revealed that talent support is closely related to high-quality economic development. Meanwhile, the coupling coordination degree shows significant regional characteristics, being the highest in eastern China, followed by Central, Northeast, and Western China. Further, talent support in some regions changes due to changes in regional economic and social conditions. In the eastern coastal areas, high-high agglomeration is relatively stable; A few central regions show Low-High type of agglomeration; the west exhibits an increasingly Low-Low agglomeration; and the agglomeration effects in the Central and Northeastern regions is not clear. Multiple regression analysis of the five talent support elements shows that talent efficiency has max Influences on high-quality economic development, followed by talent structure, potential, and quality; however, the effect for talent quality is not as large. Building on these findings, this study finally makes policy recommendations from the perspectives of enhancing talent efficiency, structure, and potential.