Zhou Tianmo, Zhu Yunqiang
Information Institute of the Ministry of Emergency Management of the PRC, Beijing, 100029, China.
Institute of Geographic Sciences and Natural Resources Research, Beijing, 100101, China.
Heliyon. 2024 Sep 20;10(19):e37841. doi: 10.1016/j.heliyon.2024.e37841. eCollection 2024 Oct 15.
In order to solve the problem of "potpourri" of safety risk prevention and control measures, which is caused by the unclear mechanism of the spatial effect of coal mine safety level heterogeneity and its influencing factors. This paper discriminates the dominant factors of spatio-temporal heterogeneity of coal mine safety production level in China and their spatial effect types by means of GeoDetector and the Spatial Dubin Model (SDM), specifies the categories and degrees of acts on local and surrounding areas by changes in indicators, and provides further visualization of the detection outcomes with the assistance of the Neo4j graph database, and the findings indicate that:(1) All 15 indicators selected in the study have a certain influence on the generation of spatial heterogeneity in China's coal mine safety production level, and all of them show an enhancement relationship after the interaction of indicators. Especially, the combination of excavated environment and other indicators basically has a non-linear enhancement relationship. (2) In terms of spatial effects, the influence of the 5 effects on the spatio-temporal heterogeneity of coal mine safety level is, in descending order, industrial development effect > capital allocation effect > production environment effect > government supervision effect > enterprise management effect, which indicates that macroeconomic and market conditions have a much stronger influence on the generation of spatio-temporal heterogeneity in coal mine production safety status. (3) From the single indicator perspective, the average annual temperature, average annual wind speed, coal consumption and monitoring efficiency primarily affect the dependent variable through direct effects; GDP per capita, average labor compensation as well as railroad operating mileage have positive spatial spillover on the changes of coal mine safety production level in surrounding areas; the evaluation of the spatial effect for average labor compensation exhibits a positive indirect effect with low influence; for the two indicators of production efficiency and ex-factory price, not only do they have negative effects on the local coal mine safety level, but also have significant spillover effects on surrounding areas.
为解决煤矿安全水平异质性及其影响因素空间效应机制不明导致的安全风险防控措施“大杂烩”问题。本文借助地理探测器和空间杜宾模型（SDM），判别我国煤矿安全生产水平时空异质性的主导因素及其空间效应类型，通过指标变化明确对本地及周边地区作用的类别和程度，并借助Neo4j图数据库对检测结果进行进一步可视化，研究结果表明：（1）研究选取的15个指标均对我国煤矿安全生产水平空间异质性的产生有一定影响，且指标交互后均呈现增强关系。特别是开采环境与其他指标的组合基本呈非线性增强关系。（2）在空间效应方面，5种效应对煤矿安全水平时空异质性的影响程度由大到小依次为产业发展效应＞资本配置效应＞生产环境效应＞政府监管效应＞企业管理效应，这表明宏观经济和市场条件对煤矿生产安全状况时空异质性的产生影响更强。（3）从单指标角度看，年均气温、年均风速、煤炭消费量和监测效率主要通过直接效应影响因变量；人均GDP、平均劳动报酬以及铁路营业里程对周边地区煤矿安全生产水平变化具有正向空间溢出效应；平均劳动报酬的空间效应评价呈现正向间接效应但影响程度较低；生产效率和出厂价格这两个指标不仅对本地煤矿安全水平有负面影响，而且对周边地区有显著溢出效应。
