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.

本研究数据集旨在服务于学术论文撰写。推动煤炭工业区域的优质发展，在促进发展理念创新、推动产业转型、改革体制机制以及提升黄河流域风险管理等方面具有重要的理论意义和实践价值。作者从可持续发展目标（SDGs）的视角出发，构建了用于评估黄河流域煤炭工业优质发展的分析框架与评价体系。通过熵权TOPSIS模型、Weaver-Thomas组合系数以及面板Tobit回归模型，本研究分析了2003年至2023年黄河流域煤炭工业优质发展的异质性和影响因素。本数据集包含了相关研究成果、图表和表格。