Dataset for Quality Assessment of Coal Industry Development in the Yellow River Basin of China

This research dataset is used for paper writing. Promoting the high-quality development of coal industrial areas holds significant theoretical and practical value in fostering innovation in development concepts, facilitating industrial transformation, reforming institutional structures, and enhancing risk management within the Yellow River region. The author adopts a Sustainable Development Goals (SDGs) perspective to construct an analytical framework and evaluation system for assessing the high-quality devel-opment of the coal industry in the Yellow River Basin. Using the entropy weight TOPSIS model, the Weaver-Thomas combination coefficient, and the panel Tobit regression model, this study analyses the characteristics of heterogeneity and the driving factors that influence the high-quality development of the coal industry in the Yellow River Basin from 2003 to 2023. This research dataset contains relevant research results, graphs, and tables.