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author:

Tan, Xiaolan (Tan, Xiaolan.) [1]

Indexed by:

EI

Abstract:

The paper attempts to build a theoretical model to explore the relationship between agglomeration economies and air pollution in urban China. The method of Spatial Lag Model is applied to test our theoretical hypothesis based on China's 289 cities panel data during the period of 1998-2016. The empirical result shows that the impact of industrial agglomeration on urban air quality is not simply linear or described by inversed U-type curve but N-shaped characteristic. To be specific, air pollution is positively and significantly affected by industrial agglomeration whether at its beginning or diseconomies stages. The development of industrial agglomeration in its mature and effective stage can reduce haze pollution significantly. The result is quite robust and consistent after replacing variables and using other regression methods. This paper sheds new light on the question of how to coordinate the relationship between agglomeration economies and environment pollution. © 2021 ACM.

Keyword:

Air quality Regression analysis

Community:

  • [ 1 ] [Tan, Xiaolan]School of Public Administration, Hohai University, Jiangsu, China
  • [ 2 ] [Tan, Xiaolan]School of Marxism, Fuzhou University, Fujian, China

Reprint 's Address:

  • 谭晓兰

Email:

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Related Keywords:

Source :

Year: 2021

Page: 170-174

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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