RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2022, Vol. 31 >> Issue (4): 851-861.doi: 10.11870/cjlyzyyhj202204013

Previous Articles     Next Articles

Population and Industrial Agglomeration′s Spatial  Impact on Production & Consumption Pollution and Overflow

XIAO Zhou-yan,LI Hui-hui,SUN Le   

  1. (School of Labor Economics,Capital University of Economics and Business, Beijing 100070,China)
  • Online:2022-04-20 Published:2022-04-21

Abstract: Population agglomeration and industrial agglomeration are included in the analytical framework of pollution influencing factors, and the spatial Durbin model is used to explore the effects of population and industrial agglomeration on production and consumption pollution and spatial spillover differences by using provincial panel data from 2000-2018 in China. It is found that industrial agglomeration exacerbates production and consumption pollution within and adjacent to regions, and moderate population agglomeration is conducive to optimizing resource allocation and promoting the sharing of pollution control facilities, which can mitigate production and consumption pollution within and adjacent to regions. Production pollution is in line with the environmental Kutznets curve, while consumption pollution is mainly influenced by the consumption level, and everyone is the main subject of pollution. Consumption pollution is much more difficult to manage than production pollution, and should be managed from the level of consumption demand.

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
[1] . Can Land Transformation Improve Farmers’ Life Satisfaction?——Empirical Evidence from Jianghan Plain, Hubei Province[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[2] ZHOU Sheng-lv, LI Yue-han, HU Jing, FENG Jing-nan. Willing-To-Pay For Improvement of Air Quality in Shanghai Based on  Questionnaire Survey[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(11): 2419 -2424 .
[3] QU Xiao-e. Regional Differentials and Influence Factors of Eco-efficiency in China: an Empirical Analysis Based on the Perspective of Spatio-temporal Differences[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2018, 27(12): 2673 -2683 .
[4] WANG Cong-cong, WANG Yi-cheng, MA Ren-feng, WANG Jing-min. Impact of Economic Agglomeration on Pollution of Smog Based on Spatial Econometric Model:The Case Study of Yangtze River Delta[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 1 -11 .
[5] SUN Chuan-zhun, ZHEN Lin, LIU Xiao-lin, LIU Tong, WU Shun-hui, LI Jing-gang. Study of the Correlations Between Ecosystem Pollination Services and Land Intensification in Village Scale[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(01): 112 -121 .
[6] RUAN Tian, ZHA Qian-yu, YANG Ru, GAO Chao. Effects on Runoff Above the Cuntan Station Area in the Yangtze River Basin Under the 1.5℃ and 2.0℃ Global Warming[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(02): 407 -415 .
[7] SHAO Yi-ting, HE Yi, MU Xing-min, GAO Peng, ZHAO Guang-ju, SUN Wen-yi, . Spatiotemporal Variation of Rainfall Erosivity in Qin-Ba Mountains Region[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(02): 416 -425 .
[8] ZHANG Ya-fei, LIAO He-ping, LI Yi-long, . Delimitation of Urban Growth Boundary Based on Anti-planning and FLUS Model:A Case Study of Yubei District, Chongqing, China[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, 2019, 28(04): 757 -767 .
[9] . Spatial Differentiation and It’s Influence Factors of Traditional Villages in Hunan, Hubei and Jiangxi Provinces at Different Scales[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .
[10] . Driving effect of spatial-temporal differences in water use in the Yangtze River Economic Zone from the perspective of production and domestic[J]. RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN, , (): 0 .