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<p>The escalating climate emergency, marked by increasingly frequent extreme hot weather (EHW) events, presents a serious obstacle to achieving sustainable development. This study investigates a critical yet under-explored intersection: the impact of EHW on industrial robot application (IRA), a key technological driver for SDG 9 (Industry, Innovation and Infrastructure). Understanding this relationship is equally vital for formulating effective climate adaptation strategies in line with SDG 13 (Climate Action). Drawing on a balanced panel dataset covering 102 cities across China’s Yangtze River Economic Belt from 2011 through 2023, this study empirically assesses the effect of EHW on IRA. Four relevant conclusions are obtained. (1) EHW exerts a significant overall inhibitory effect on IRA, with this restraining effect appearing stronger in resource-based cities and old industrial base cities. (2) In terms of mediation mechanisms, EHW indirectly inhibits IRA by increasing electricity consumption intensity and reducing the digital-real integration. (3) The moderation mechanism shows that enhancing urban economic resilience can mitigate the negative impact of EHW on IRA. (4) Once human capital levels surpass a single threshold, the association between EHW and IRA turns positive. These results furnish both theoretical grounding and policy guidance for advancing intelligent, climate-resilient industrial transformation in an era of intensifying extreme weather.</p>

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Promoting or inhibiting? The impact of extreme hot weather on industrial robot application: Evidence from the Yangtze River Economic Belt, China

  • 期刊论文

  • 发表日期：

    2026年6月22日

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  • Yaning Zhang,
  • Yong Liu

摘要

The escalating climate emergency, marked by increasingly frequent extreme hot weather (EHW) events, presents a serious obstacle to achieving sustainable development. This study investigates a critical yet under-explored intersection: the impact of EHW on industrial robot application (IRA), a key technological driver for SDG 9 (Industry, Innovation and Infrastructure). Understanding this relationship is equally vital for formulating effective climate adaptation strategies in line with SDG 13 (Climate Action). Drawing on a balanced panel dataset covering 102 cities across China’s Yangtze River Economic Belt from 2011 through 2023, this study empirically assesses the effect of EHW on IRA. Four relevant conclusions are obtained. (1) EHW exerts a significant overall inhibitory effect on IRA, with this restraining effect appearing stronger in resource-based cities and old industrial base cities. (2) In terms of mediation mechanisms, EHW indirectly inhibits IRA by increasing electricity consumption intensity and reducing the digital-real integration. (3) The moderation mechanism shows that enhancing urban economic resilience can mitigate the negative impact of EHW on IRA. (4) Once human capital levels surpass a single threshold, the association between EHW and IRA turns positive. These results furnish both theoretical grounding and policy guidance for advancing intelligent, climate-resilient industrial transformation in an era of intensifying extreme weather.