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Ambient Air Pollution in China: Predicting a Turning Point

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Abstract

One of the most debatable questions among developmental economists and sinologists today is the question that deals with the time it would take China to reduce its current ambient air pollution levels to the levels acceptable by the World Health Organization. Some studies suggest that an increase in the standard of living would improve the environmental situation, a phenomenon that is termed the environmental Kuznets curve (EKC). The objective of this study is to estimate the EKC and identify major factors leading to ambient air pollution in China during 2004–2013. We use time-series panel data in 27 provinces to estimate the variability in the levels of ambient air pollution as measured by particulate matter, sulfur dioxide and nitrogen dioxide. Some policy implications are drawn.

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Acknowledgments

The author would like to thank Bridget McCabe, Pace University student, for her help with data collection.

Author information

Correspondence to Anna Shostya.

Appendix

Appendix

Coding of Chinese cities and regions
Code Region Cities
1 Beijing Beijing
2 Tianjin Tianjin
3 Hebei Shijiazhuang
4 Shanxi Taiyuan
5 Inner Mongolia Hohhot
6 Liaoning Shenyang
7 Jilin Changchun
8 Heilongjiang Harbin
9 Shanghai Shanghai
10 Jiangsu Nanjing
11 Zhejiang Hangzhou
12 Anhui Hefei
13 Fujian Fuzhou
14 Jiangxi Nanchang
15 Shandong Jinan
16 Henan Zhengzhou
17 Hubei Wuhan
18 Hunan Changsha
19 Guangdong Guangzhou
20 Guangxi Nanning
21 Hainan* Haiko
22 Chongqing Chongqing
23 Sichuan Chengdu
24 Guizhou* Guiyang
25 Yunnan Kunming
26 Tibet* Lhasa
27 Shaanxi Xi’an
28 Gansu Lanzhou
29 Qinghai* Xining
30 Ningxia Yinchuan
31 Xinjiang Urumqi
  1. *The regions excluded from the regression analysis due to lack of data

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Shostya, A. Ambient Air Pollution in China: Predicting a Turning Point. Int Adv Econ Res 22, 295–307 (2016). https://doi.org/10.1007/s11294-016-9590-z

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Keywords

  • Ambient air pollution
  • Environmental degradation
  • Environmental Kuznets curve
  • China’s economic growth and development
  • Environmental clean-up

JEL Classification

  • O10
  • O50