Dataset for Quality Assessment of Coal Industry Development in the Yellow River Basin of China
Description
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.
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The primary data used is sourced from publicly available databases, including the China Statistical Year-book, China Coal Industry Yearbook, China Environmental Statistical Yearbook, China Industrial Economic Statistical Yearbook, China Energy Statistical Yearbook, provincial statistical yearbooks, Annual Statistical Bulletins of National Economic and Social De-velopment, and various online resources. In cases where specific data points are absent, the paper uses the adjacent point linear trend method for supplementation. In addition, given data availability constraints, certain methods have been employed to address individual index data. The average gas level index is based on the statistical sample of "coal mines with continuous safe production for more than 1000 days" from the China Coal Industry Yearbook. The statistical sample includes township coal mines, local state-owned coal mines, key state-owned coal mines, and other enterprises with a large sample size and strong industry representation. The gas grade of each coal mine, classi-fied as low gas, high gas, or gas outburst, is assessed with assigned values of 1, 3, and 5 respectively. Subsequently, the average value of enterprises in each region is taken as the index analysis data. The quality assessment of regional coal industry development adopts the TOPSIS method, the analysis of regional development mode adopts the Weaver Thomas combination coefficient, and the analysis of influencing factors adopts the Panel Tobit regression model Stata 17.0 was used for Tobit regression analysis.Other result data, graphs, and tables are all calculated or generated using EXCEL.