Quantifying multiple effects of industrial patterns on air quality: Evidence from 284 prefecture-level cities in China
Quantifying multiple effects of industrial patterns on air quality: Evidence from 284 prefecture-level cities in China
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DOI：
10.1016/j.ecolind.2022.109722
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发表时间：
2022-12
影响因子：
6.9
通讯作者：
Yong Liu;Hongxiao Su;Jianping Gu;Zongshun Tian;Kun Li
中科院分区：
文献类型：
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作者：
Yong Liu;Hongxiao Su;Jianping Gu;Zongshun Tian;Kun Li
工业活动被广泛认为是空气污染的重要来源之一。然而，现有的研究仍然争论工业模式对空气污染的复杂影响。本研究提出了一个多维框架，探讨工业企业对中国空气质量指数的多重影响。我们研究了工业的核心-边缘，结构和技术对空气污染的影响，通过使用基于地理空间数据库的空间杜宾模型。结果表明，产业核心集聚对大气污染尤其是持续性污染具有空间溢出效应。工业规模的扩大和多样化加剧了大气污染，反映了结构效应。经营寿命长的企业，通过技术缓解效应，有利于缓解大气污染。国有企业的高比例加剧了中国北方的空气污染。工业空间溢出效应对大气污染贡献显著，需要跨区域和政府间合作改善空气质量。
Industrial activity is widely regarded as one of the important sources of air pollution. However, existing studies still debate the complex effects of industrial patterns on air pollution. This study proposes a multidimensional framework to explore the multiple effects of industrial enterprises on the air quality index in China. We examine the industrial core-edge, structure, and technology effects on air pollution by using spatial Durbin models based on geospatial databases. Results show that industrial core agglomeration exerts a spatial spillover effect on air pollution, especially continuous pollution. The increasing industrial scale and diversity intensify air pollution, reflecting the structure effect. Enterprises with long business lifespans are conducive to mitigating air pollution through the technical alleviation effect. The high ratio of state-owned enterprises exacerbates air pollution in northern China. The industrial spatial spillover effect contributed remarkably to air pollution, calling for cross-regional and intergovernmental collaboration on air quality improvement.