JOURNAL OF NATURAL RESOURCES ›› 2021, Vol. 36 ›› Issue (3): 737-751.doi: 10.31497/zrzyxb.20210315

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Influence and spillover effect of industrial eco-efficiency on PM2.5 pollution

LI Zai-jun1(), HU Mei-juan2, ZHANG Ai-ping3, ZHOU Nian-xing2()   

  1. 1. Research Institute of Central Jiangsu Development, Yangzhou University, Yangzhou 225009, Jiangsu, China
    2. School of Geography Science, Nanjing Normal University, Nanjing 210023, China
    3. School of Tourism and Culinary Science, Yangzhou University, Yangzhou 225127, Jiangsu, China
  • Received:2019-09-05 Revised:2020-03-25 Online:2021-03-28 Published:2021-05-28
  • Contact: ZHOU Nian-xing;


By means of spatial analysis and econometric models, the spatio-temporal correlation characteristics and effects between PM2.5 pollution and industrial eco-efficiency of prefecture-level cities in China from 2004 to 2016. The results show that: (1) Industrial eco-efficiency and PM2.5 shows a pattern of spatio-temporal staggered distribution. Areas with high PM2.5 pollution are mainly concentrated in the North China Plain and the middle and lower reaches of the Yangtze River, while high industrial eco-efficiency areas are distributed in coastal cities such as the Yangtze River Delta, the Pearl River Delta and the Bohai Rim Economic Zone, and a few major cities in the urban agglomerations of central and western China. (2) There is reciprocal interaction relationship between industrial eco-efficiency and PM2.5 pollution. Industrial eco-efficiency has a negative cumulative effect on PM2.5 pollution, and shows a "U-shaped" pattern, while the influence of PM2.5 pollution on industrial eco-efficiency is manifested by the positive cumulative effect of "inverted U-shaped" change. (3) Industrial eco-efficiency and PM2.5 pollution have significant spatio-temporal association, and the evolution of different types of spatio-temporal correlation keeps higher stability. Thereinto, the high industrial eco-efficiency and the high PM2.5 pollution regions are mainly concentrated in the urban agglomerations of the Beijing-Tianjin-Hebei region, the Shandong Peninsula and the Yangtze River Delta; the low industrial eco-efficiency and the low PM2.5 pollution regions are mainly distributed in the urban agglomerations of the Poyang Lake, the Guanzhong and the western region, as well as in a few cities in the northeast region. (4) Overall, industrial eco-efficiency has a significant and robust positive effect on PM2.5 pollution, but shows significant spatial heterogeneity. Specifically, the industrial agglomeration level, technological innovation and urban greening rates have a significant negative impact on PM2.5 pollution, while the effect of other variables is not significant.

Key words: PM2.5 pollution, industrial eco-efficiency, panel vector auto regression model, spatial Durbin model