大数据下新质生产力对空气质量的影响路径

The Impact Pathways of New Quality Productivity on Air Quality under Big Data

随着工业化和城市化的加速,空气质量问题已成为经济社会可持续发展的关键,而新质生产力则是推动经济增长和提升竞争力的重要因素。过去的研究多集中在单一领域。为此,本研究通过大数据和二次建模方法,系统分析了空气质量对生产效率和产品质量的影响,以及新质生产力对空气质量的反馈机制。本文通过固定效应模型和多级指标体系,实证分析了2012~2022年新质生产力与空气质量的关系,结果显示新质生产力显著缓解城市空气污染,且政府预算支出起到正向调节作用,区域间存在显著差异。本文从政府管理和产业发展角度提出对策建议,为产业发展和环境保护提供理论支持和政策依据。

With the acceleration of industrialization and urbanization,air quality issues have become critical to sustainable economic and social development.Simultaneously,new quality productivity is a key driver of economic growth and competitiveness.Previous studies have typically focused on iso-lated areas.Thus,this study systematically analyzes the impact of air quality on productivity and product quality,as well as the feedback mechanism of new quality productivity on air quality,us-ing big data and secondary modeling methods.We empirically examine the relationship between new quality productivity and air quality from 2012 to 2022 using a fixed-effects model and a mul-tilevel indicator system.The results indicate that new quality productivity significantly mitigates urban air pollution,with government budgetary expenditures playing a positive moderating role,and significant regional differences are observed.This paper proposes policy recommendations from the perspectives of government management and industrial development to provide theo-retical support and a policy foundation for both industrial progress and environmental protection.