How does urbanization affect the haze pollution control? An empirical study based on the mediating effect

LIU Chenyue1 XU Yingzhi1

(1.School of Economics and Management, Southeast University, Nanjing, Jiangsu Province, China 210096)

【Abstract】The city is the main place where haze pollution occurs. For a long time, the relationship between urbanization and environmental pollution has been one of the problems to be solved urgently in China. Then how to coordinate the relationship between urbanization and haze pollution in the course of rapid urbanization? How to figure out direct and indirect effects of urbanization on haze pollution control? To find out the answers, this paper comprehensively analyzes the effects of urbanization on haze pollution control and approaches to haze pollution control by means of mediating effect and from the three dimensions of urbanization of population, urbanization of land and industrial urbanization.

【Keywords】 urbanization effect; haze pollution control; mediating effect;

【DOI】

【Funds】 Key Project of National Social Science Foundation of China (15AJY009) Key Project of Social Science Foundation of Jiangsu Province (14ZD011) Project of Special Funds for Fundamental Research Funds for the Central Universities (2242017S10009)

Download this article

    Footnote

    [1]. ① In particular, Since some cities in China have begun to collect PM2.5 data recently, which is included in PM10, an important part of haze, the trend of PM2.5 is same to PM10 by comparing it with PM10 data of the same period, considering that many research adopted the PM2.5 data measured by Bartels Institute and Information and Network Center of international earth science in Conlubia University (since the space is limited, the figure is eliminated) from 2001 to 2010. [^Back]

    [2]. ② The eight high pollution industries are chemical raw materials and chemical products manufacturing industry, nonmetal mineral products industry, ferrous metal smelting and rolling processing industry, electric power, heat production and supply industry, oil processing industry, coking and nuclear fuel processing industry, coal mining and washing industry, non-ferrous metal smelting and rolling processing industry, paper and paper products industry. [^Back]

    [3]. ① To test the multicollinearity of model, the variance inflation factor of each variable of panel model suggests that there is not significant multicollinearity of model. [^Back]

    [4]. ① Due to the limitation of space, this paper only lists the regression results of effect of industrial urbanization on haze pollution on national level and different regional level. At the same time, the regression results of urbanization of population and urbanization of land are also robust, and are available at request. [^Back]

    [5]. ① Due to the limitation of space, the corresponding regression estimate results are not listed in this paper, and are available at request. [^Back]

    References

    [1]Bing C, Zhe B, Xinjuan C, et al. Light Absorption Enhancement of Black Carbon from Urban Haze in Northern China Winter. Environmental Pollution, 2017, (221): 418–426.

    [2]Hand J L, Malm W C. Review of Aerosol Mass Scattering Efficiencies from Ground–based Measurements Since 1990. Journal of Geophysical Research, 2007, 112, (D18): 1–24.

    [3]Hand J L, Schichtel B A, Malm W C, et al.Widespread Reductions in Haze Across the United States from the Early 1990s through 2011. Atmospheric Environment, 2014, 94, (9): 671–679.

    [4]Hongbo F, Jianmin C. Formation, Features and Controlling Strategies of Severe Haze–fog Pollutions in China. Science of the Total Environment, 2017, (578): 121–138.

    [5]Hong W, Jiayu X, Meng Z, et al. A Study of the Meteorological Causes of a Prolonged and Severe Haze Episode in January2013 over Central–eastern China. Atmospheric Environment, 2014, 98, (98): 146–157.

    [6]Huiming L, Hongfei W, Qin’geng W, et al.Chemical Partitioning of Fine Particle–bound Metals on Haze–fog and Non–haze–fog Days in Nanjing, China and Its Contribution to Human Health Risks. Atmospheric Research, 2017, (183): 142–150.

    [7]Nicole P H. Impaired Visibility: the Air Pollution People See. Atmospheric Environment, 2009, 43, (1): 182–195.

    [8]Jinghong G, Alistair W, Sotiris V, et al.Haze, Public Health and Mitigation Measures in China:A Review of the Current Evidence for Further Policy Response. Science of the Total Environment, 2017, (578): 148–157.

    [9]Joachim S, Karoline R, Regina B.Incentives for Energy Efficiency in the EU Emissions Trading Scheme. Energy Efficiency, 2009, 2, (1): 37–67.

    [10]Lingyan Y, Wen–Cheng W, Shih–Chun C L, et al. Polycyclic Aromatic Hydrocarbons are Associated with Increased Risk of Chronic Obstructive Pulmonary Disease during Haze Events in China. Science of the Total Environment, 2017, (574): 1649–1658.

    [11]Muller D, Judd C M, Yzerbyt V Y.When Moderation is Mediated and Mediation is Moderated. Journal of Personality and Social Psychology, 2005, 89, (6): 852–863.

    [12]Richard S, Robert N S. The SO2 Allowance Trading System: The Ironic History of a Grand Policy Experiment. Journal of Economic Perspectives, 2013, 27, (1): 103–122.

    [13] Bai, Y. & Liu, X. Journal of China University of Geosciences (Social Sciences Edition) (中国地质大学学报 (社会科学版)), (6) (2013).

    [14] Cao, C. & Han L. Statistical Research (统计研究), (7) (2015).

    [15] Dong, T., Li, Xin., & Liu, N. Economic Administration (经济管理), (9) (2015).

    [16] Dou, J. & Zhang, K. Economic Administration (经济管理), (10) (2015).

    [17] Gong, Q. & He, F. Reform of Economic System (经济体制改革), (3) (2014).

    [18] Guo, F., Li, C., Chen, C., et al. Economic Geography (经济地理), (9) (2015).

    [19] He, S. doctoral thesis, Wuhan University, (2014).

    [20] He, S. Economic Perspectives (经济学动态), (11) (2016).

    [21] Huang, S. World Economy (世界经济), (2) (2017).

    [22] Leng, Y. & Du, S. Industrial Economics Research (产业经济研究), (1) (2016).

    [23] Leng, Y., Xian, G.& Du, S. Journal of International Trade (国际贸易问题), (12) (2015).

    [24] Li, S. & Zhang, D. Systems Engineering (系统工程), (1) (2014).

    [25] Liu, B., Yuan, X. & Zhang, Z. Urban Development Research (城市发展研究), (9) (2015).

    [26] Ma, L. & Zhang, X. China Industrial Economics (中国工业经济), (4) (2014).

    [27] Ma, L. Liu, S. & Zhang, X. Finance and Trade Economics (财贸经济), (1) (2016).

    [28] Pan, H., Wang, X. & Zhang, S. China Soft Science (中国软科学), (12) (2015).

    [29] Pan, Y., Li, N. & Zheng, J. Journal of Environmental Sciences (环境科学学报), (9) (2015).

    [30] Qin, M., Liu, X. & Gong, Y. Finance and Trade Economics (财贸经济), (11) (2016).

    [31] Qin, M. & Liu, X. Journal of Finance and Economics (财经研究), (7) (2015).

    [32] Shao, S., Li, X. & Cao, J. Economic Research Journal (经济研究), (9) (2016).

    [33] Shi, Q., Guo, F. & Chen, S. China Industrial Economy (中国工业经济), (5) (2016).

    [34] Tong, Y. & Wang, Y. Social Science of Beijing (北京社会科学), (5) (2014).

    [35] Wang, H. & Wang, Q. Chinese Journal of Population Science (中国人口科学), (5) (2011).

    [36] Wang, J. & Zhang, J. The Economist (经济学家), (10) (2010).

    [37] Wang, S. & Xu, Y. China Industrial Economy (中国工业经济), (4) (2015).

    [38] Zeng, S. & Xia, J. Research on Financial and Economic Problems (财经问题研究), (1) (2015).

    [39] Zhang, K. & Dou, J. Journal of Financial Research (金融研究), (12) (2015)

    [40] Zhu, P., Zhang, Z. & Jiang, G. Economic Research Journal (经济研究), (6) (2011).

This Article

ISSN:1002-5766

CN: 11-1047/F

Vol 39, No. 08, Pages 6-23

August 2017

Downloads:1

Share
Article Outline

Abstract

  • 1 Introduction
  • 2 Literature review
  • 3 Mechanism analysis and research hypothesis
  • 4 Model setting and variable description
  • 5 Empirical research and results analysis
  • 6 Conclusions and policy implications
  • Footnote

    References