Internet of Things'sustainability effects: quantile and temporal insights
发布日期：2025-03-22
阅读次数：
Abstract：As an important technological advancement driving the fourth industrial revolution, the Internet of Things (IOT) has gained increasing attention for its profound economic and societal impacts. However, in the context of escalating challenges in climate change, its effects on environmental sustainability await systematic analysis. Therefore, this paper aims to thoroughly analyze these effects and explore how to promote sustainability more effec tively in the process of advancing applications of IOT. This paper employs the Multiscale Wavelet-Based Quantile-on-Quantile approach to investigate the dynamic impact of IOT on sustainability from the perspectives of carbon emissions and air quality across different quantile levels. Results demonstrate that IOT generally exerts negative effects on carbon emissions, which are particularly pronounced in the higher quantiles of emissions. However, this impact is not significant at lower development levels of IOT while reducing carbon emissions as the technology matures. From a dynamic perspective, in the short term, the impact of IOT on carbon emissions is not significant. Nevertheless, in the medium to long term, its carbon reduction effect becomes increasingly pronounced. In comparison, IOT’s impact on air pollution is more heterogeneous. At lower pollution levels, IOT tends to improve air quality, whereas at higher quantiles of pollution, IOT exacerbates it. Besides, the negative effect of IOT on air quality becomes gradually apparent in the medium term, while insignificant in the short term. In the long run, IOT’s influence on air pollution fluctuates significantly. These findings suggest that flexible, scientific, and targeted measures should be scientifically formulated accounting for regional variations and development stages to advance sustainability in applying IOT.
摘要：作为推动第四次科技革命的重要技术进步，物联网对经济与社会的影响逐渐受到重视，但关于其对环境与可持续性的影响尚待系统研究。本文基于碳排放与空气质量视角，利用分位数对分位数分析方法细致考察了物联网是否促进了可持续性转型，并在小波分解的基础上系统探究了这一影响在短期、中期与长期的动态特征。此外，我们检验了物联网应用对碳排放与空气污染在不同分位数上是否存在格兰杰因果关系。研究发现，总体而言物联网对碳排放影响为负。这一效应在碳排放的低分位数区间和高分位数区间更显著。此外，当物联网发展程度非常高时其对碳排放影响为负，但在物联网发展程度较低时其减碳效应不明显。动态来看，在短期物联网应用对碳排放的影响不明显，在中长期，其减碳效应逐渐凸现，并且随时间推移显著性进一步增强。比较而言，物联网对空气污染的影响随二者分位数变动存在较强异质性。当初始空气污染程度较低时，物联网对污染影响为负，而当初始污染程度很高时，物联网会加剧空气污染。动态来看，在短期物联网对空气污染的影响不明显。在中期，物联网对污染的正效应逐渐显现。在长期，物联网对空气污染的影响开始随分位数不同而分化。以上研究结果对在积极利用物联网技术带来的经济社会效益的过程中如何促进可持续性转型具有重要的政策参考价值。
作者：Chao Li、Wenyu Lao
文章来源：《Humanities and social sciences communications》（19 March 2025）
当前位置：
