Applied Statistical Modelling and Reliability Assessment of Digital Transformation Effects on Sustainable Business Model Performance: Panel Data Evidence from China’s Manufacturing Sector
DOI:
https://doi.org/10.13052/jrss0974-8024.19211Keywords:
Applied statistical modelling, reliability assessment, panel data analysis, structural equation modelling, mediation-moderation analysis, measurement validity, digital transformation, sustainable business model performance, green financeAbstract
This paper examines how digital transformation affects sustainable business model performance in Chinese listed manufacturing firms from 2019 to 2023. A composite measurement system is built for digital maturity, green business practices, green finance, and sustainable performance. Reliability testing, descriptive statistics, Pearson correlations, two-way fixed-effects panel regression, robustness checks, mediation and moderation models, Sobel and Bootstrap tests, and structural equation modelling are jointly employed. The results show a positive association between digital transformation and sustainable business model performance (β=0.369, p < 0.01). Green business practices partially mediate this relationship and explain 30.89% of the total effect, while green financial support strengthens the link (interaction β=0.087, p < 0.05). The findings provide statistically reliable evidence that digital capability, green operations, and external finance jointly improve sustainable business outcomes.
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