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Factors Contributing to Haze Pollution: Evidence from Macao, China

Author

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  • Wai-Ming To

    (School of Business, Macao Polytechnic Institute, Macao, China)

  • Peter K. C. Lee

    (Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong, China)

  • Chi To Ng

    (Department of Logistics and Maritime Studies, The Hong Kong Polytechnic University, Hong Kong, China)

Abstract

Haze is a major environmental concern in many cities because it adversely affects people’s physiological and psychological well-being. This paper examines the extent of haze in Macao during the period 1986–2016. It identifies the relationships between haze, energy use, and meteorological conditions directly. The haze in Macao changed over the period 1986–2016 with air pollution getting worse and then improving after 2007. Specifically, the number of haze hours increased from 3 in 1986 to 766 in 2007, and then dropped to 57 in 2016, while the total energy use increased from 12,246 TJ in 1986 to 37,144 TJ in 2007, and then to 42,405 TJ in 2016. As per primary energy, Macao used 12,096 TJ in 1986, 21,388 TJ in 2007, and 16,647 TJ in 2016 excluding aviation kerosene. Bivariate correlations show that haze was most positively and significantly associated with annual primary energy use. Multiple regression analysis indicates that the number of hours with haze was significantly, positively related to the consumption of gas oil/diesel, fuel oil, and natural gas in Macao and aviation kerosene. Nevertheless, the improvement in Macao could come at a cost to areas in downwind of Zhuhai’s coal power stations supplying Macao’s electricity energy.

Suggested Citation

  • Wai-Ming To & Peter K. C. Lee & Chi To Ng, 2017. "Factors Contributing to Haze Pollution: Evidence from Macao, China," Energies, MDPI, vol. 10(9), pages 1-12, September.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1352-:d:111202
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    References listed on IDEAS

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    1. Jianzhong Xiao & Jinhua Cheng & Jun Shen & Xiaolin Wang, 2017. "A System Dynamics Analysis of Investment, Technology and Policy that Affect Natural Gas Exploration and Exploitation in China," Energies, MDPI, vol. 10(2), pages 1-19, January.
    2. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    3. To, W.M., 2014. "Association between energy use and poor visibility in Hong Kong SAR, China," Energy, Elsevier, vol. 68(C), pages 12-20.
    4. To, W.M. & Lai, T.M. & Chung, W.L., 2011. "Fuel life cycle emissions for electricity consumption in the world’s gaming center–Macao SAR, China," Energy, Elsevier, vol. 36(8), pages 5162-5168.
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    Cited by:

    1. Andrzej Greinert & Maria Mrówczyńska & Wojciech Szefner, 2019. "The Use of Waste Biomass from the Wood Industry and Municipal Sources for Energy Production," Sustainability, MDPI, vol. 11(11), pages 1-19, May.
    2. Wai-Ming To & Peter K. C. Lee, 2017. "Energy Consumption and Economic Development in Hong Kong, China," Energies, MDPI, vol. 10(11), pages 1-13, November.
    3. Wai-Ming To & Peter K. C. Lee & Antonio K. W. Lau, 2021. "Economic and Environmental Changes in Shenzhen—A Technology Hub in Southern China," Sustainability, MDPI, vol. 13(10), pages 1-17, May.

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