The Chinese government is implementing a rural revitalization strategy and speeding up rural modernization. The rapid development of the rural digital economy has become a new driving force for the revitalization of rural industries. By analyzing how rural industrial revitalization is driven by the rural digital economy, this study constructs a rural digital economy from the three dimensions of optimal allocation of rural resource elements, the effective connection of urban–rural markets, and the integrated development of rural industries. The entropy value method was used to assess the comprehensive level of development of the rural digital economy and industrial revitalization. Based on the agricultural and rural development data of 30 provinces in China from 2014 to 2019, we construct a dual fixed effect model to empirically analyze how the rural digital economy drives rural industrial revitalization. The results show that, first, the rural digital economy promotes the revitalization of rural industries through the following main approaches: optimal allocation and utilization of rural resources, effective connection of urban–rural markets, and industrial integration development. Second, using the benchmark regression test, it can be concluded that if the development level of the rural digital economy is increased by 1 percent, the development of rural industrial revitalization will increase by 0.066 percent, indicating that the development of the rural digital economy can significantly drive the revitalization of rural industries. Third, the driving effect of the rural digital economy on the revitalization of rural industries is heterogeneous in different regions and industrial structures. The effect of the rural digital economy on the revitalization of rural industries in the western region, the region with a high proportion of the output value of the primary industry, is higher than in the east and central regions, which have a low proportion of the output value of the primary industry.

High-quality sustainable development is the common goal pursued by all countries in the world. China’s high-quality development (HQD) includes five concepts of “innovation, coordination, green, opening-up, and sharing”. In this context, we established an evaluation system that included these five fundamental characteristics, used the comprehensive entropy method and BP neural network to evaluate and predict the high-quality development of Hubei Province in China, and conducted a spatiotemporal deductive analysis. The study found that: 1) Economic growth still has an important impact on HQD, for all the five main indicators, “opening-up” and “innovation” have the highest impact weights, which are 0.379 and 0.278, respectively, while the proportions of coordination and sharing are both less than 0.1. 2) There are huge differences in the level of high-quality development between regions in Hubei Province. From 2010 to 2020, the average comprehensive index of Wuhan City was greater than 0.5, which is 7 times that of the second Xiangyang City, and 46 times that of the last Shennongjia district. 3) In the past few years, the overall high-quality development of Hubei Province has shown a fluctuating upward trend. However, due to the impact of COVID-19, during the following years, its comprehensive development index will decline by an average of 5% annually, but starting from 2022, it will gradually increase. As a result, tailored and coordinated sustainable environmental policies of integrating institutional and open-market measures should be provided.

频发的极端气温事件给县域可持续发展造成了严重威胁，从社会生态系统的关键概念—韧性出发，解析二者间的影响关系更是县域可持续发展需要重点关注的问题。为此，论文基于2010—2023年湖北省79个县(市、区)的面板数据，在考察极端气温对县域社会生态韧性的直接与间接效应基础上，探讨了多维城镇化异质性特征。研究发现：① 以综合指数衡量的极端气温对县域社会生态韧性具有显著的负向影响，且县域社会生态韧性变化存在“时间惯性”。以气温箱度量的气温变化与县域社会生态韧性总体呈非对称“U”型关系，即在基准区间16~20 ℃两侧，县域社会生态韧性下降的幅度随气温与基准区间差距的增加而变大，在相同气温波动情形下，低温冲击引致的县域社会生态韧性下降幅度更大。② 不同维度城镇化速度下极端气温对县域社会生态韧性影响强度不同，城镇化的经济与社会属性相较于人口与空间属性有助于挤压极端气温的胁迫作用。③ 劳动生产率、环境规制强度、技术创新在极端气温抑制县域社会生态韧性提升的过程中分别发挥着部分中介、调节和单一门槛效应。研究所提供的极端气温影响县域社会生态韧性的经验证据，可为政府积极响应突发性扰动，强化系统韧性以保障县域可持续发展提供科学依据。