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 isolated 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, using 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 multilevel 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 theoretical support and a policy foundation for both industrial progress and environmental protection.