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Analysis of Regional Differences in Energy-Related PM 2.5 Emissions in China: Influencing Factors and Mitigation Countermeasures

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  • Hui Wang

    (School of Resource, Environment and Earth Sciences, Yunnan University, Kunming, Yunnan 650091, China)

  • Guangxing Ji

    (Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China)

  • Jisheng Xia

    (School of Resource, Environment and Earth Sciences, Yunnan University, Kunming, Yunnan 650091, China)

Abstract

China’s rapid economic development has resulted in a series of serious environmental pollution problems, such as atmospheric particulate pollution. However, the socioeconomic factors affecting energy-related PM 2.5 emissions are indistinct. Therefore, this study first explored the change in PM 2.5 emissions over time in China from 1995 to 2012. Then the STIRPAT (Stochastic Impacts by Regression on Population, Affluence, and Technology) model was adopted for quantitatively revealing the mechanisms of various factors on energy-related PM 2.5 emissions. Finally, the Environmental Kuznets Curve (EKC) hypothesis was adopted to examine whether an EKC relationship between affluence and energy-related PM 2.5 emissions is present from a multiscale perspective. The results showed that energy-related PM 2.5 emissions in most regions showed an increasing trend over the study period. The influences of the increase in population, energy intensity, and energy use mix on energy-related PM 2.5 emissions were positive and heterogeneous, and population scale was the major driving force of energy-related PM 2.5 emissions. The effects of the increase in the urbanization level and the proportion of tertiary industry increased value to GDP on energy-related PM 2.5 emissions varied from area to area. An inverse U-shape EKC relationship for energy-related PM 2.5 emissions was not verified except for eastern China. The conclusions are valuable for reducing PM 2.5 emissions without affecting China’s economic development.

Suggested Citation

  • Hui Wang & Guangxing Ji & Jisheng Xia, 2019. "Analysis of Regional Differences in Energy-Related PM 2.5 Emissions in China: Influencing Factors and Mitigation Countermeasures," Sustainability, MDPI, vol. 11(5), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1409-:d:211663
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    References listed on IDEAS

    as
    1. Haikun Wang & Yanxu Zhang & Hongyan Zhao & Xi Lu & Yanxia Zhang & Weimo Zhu & Chris P. Nielsen & Xin Li & Qiang Zhang & Jun Bi & Michael B. McElroy, 2017. "Trade-driven relocation of air pollution and health impacts in China," Nature Communications, Nature, vol. 8(1), pages 1-7, December.
    2. Li, Huanan & Mu, Hailin & Zhang, Ming & Gui, Shusen, 2012. "Analysis of regional difference on impact factors of China’s energy – Related CO2 emissions," Energy, Elsevier, vol. 39(1), pages 319-326.
    3. Wang, Zhaohua & Yin, Fangchao & Zhang, Yixiang & Zhang, Xian, 2012. "An empirical research on the influencing factors of regional CO2 emissions: Evidence from Beijing city, China," Applied Energy, Elsevier, vol. 100(C), pages 277-284.
    4. Shichun Xu & Wenwen Zhang & Qinbin Li & Bin Zhao & Shuxiao Wang & Ruyin Long, 2017. "Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    5. Lyu, Wanning & Yuan Li & Dabo Guan & Hongyan Zhao & Qiang Zhang & Zhu Liu, "undated". "Driving forces of Chinese primary air pollution emissions: an index decomposition analysis," Working Paper 428386, Harvard University OpenScholar.
    6. Zhang, Ning & Yu, Keren & Chen, Zhongfei, 2017. "How does urbanization affect carbon dioxide emissions? A cross-country panel data analysis," Energy Policy, Elsevier, vol. 107(C), pages 678-687.
    7. Shahbaz, Muhammad & Hye, Qazi Muhammad Adnan & Tiwari, Aviral Kumar & Leitão, Nuno Carlos, 2013. "Economic growth, energy consumption, financial development, international trade and CO2 emissions in Indonesia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 109-121.
    8. Meng, Jing & Liu, Junfeng & Guo, Shan & Huang, Ye & Tao, Shu, 2016. "The impact of domestic and foreign trade on energy-related PM emissions in Beijing," Applied Energy, Elsevier, vol. 184(C), pages 853-862.
    9. Wang, Changjian & Wang, Fei & Zhang, Xinlin & Yang, Yu & Su, Yongxian & Ye, Yuyao & Zhang, Hongou, 2017. "Examining the driving factors of energy related carbon emissions using the extended STIRPAT model based on IPAT identity in Xinjiang," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 51-61.
    10. Laureti, Tiziana & Montero, José-María & Fernández-Avilés, Gema, 2014. "A local scale analysis on influencing factors of NOx emissions: Evidence from the Community of Madrid, Spain," Energy Policy, Elsevier, vol. 74(C), pages 557-568.
    11. Chai, Jian & Liang, Ting & Lai, Kin Keung & Zhang, Zhe George & Wang, Shouyang, 2018. "The future natural gas consumption in China: Based on the LMDI-STIRPAT-PLSR framework and scenario analysis," Energy Policy, Elsevier, vol. 119(C), pages 215-225.
    12. Salim, Ruhul A. & Shafiei, Sahar, 2014. "Urbanization and renewable and non-renewable energy consumption in OECD countries: An empirical analysis," Economic Modelling, Elsevier, vol. 38(C), pages 581-591.
    13. Xie, Rui & Fang, Jiayu & Liu, Cenjie, 2017. "The effects of transportation infrastructure on urban carbon emissions," Applied Energy, Elsevier, vol. 196(C), pages 199-207.
    14. Shahbaz, Muhammad & Loganathan, Nanthakumar & Sbia, Rashid & Afza, Talat, 2015. "The effect of urbanization, affluence and trade openness on energy consumption: A time series analysis in Malaysia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 683-693.
    15. Shafiei, Sahar & Salim, Ruhul A., 2014. "Non-renewable and renewable energy consumption and CO2 emissions in OECD countries: A comparative analysis," Energy Policy, Elsevier, vol. 66(C), pages 547-556.
    16. Fosten, Jack & Morley, Bruce & Taylor, Tim, 2012. "Dynamic misspecification in the environmental Kuznets curve: Evidence from CO2 and SO2 emissions in the United Kingdom," Ecological Economics, Elsevier, vol. 76(C), pages 25-33.
    17. Wang, Yuan & Zhang, Chen & Lu, Aitong & Li, Li & He, Yanmin & ToJo, Junji & Zhu, Xiaodong, 2017. "A disaggregated analysis of the environmental Kuznets curve for industrial CO2 emissions in China," Applied Energy, Elsevier, vol. 190(C), pages 172-180.
    18. Leying Wu & Zhangqi Zhong & Changxin Liu & Zheng Wang, 2017. "Examining PM 2.5 Emissions Embodied in China’s Supply Chain Using a Multiregional Input-Output Analysis," Sustainability, MDPI, vol. 9(5), pages 1-15, May.
    19. Zhang, Chuanguo & Tan, Zheng, 2016. "The relationships between population factors and China's carbon emissions: Does population aging matter?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1018-1025.
    20. Hongqiao Qin & Bo Hong & Runsheng Jiang, 2018. "Are Green Walls Better Options than Green Roofs for Mitigating PM 10 Pollution? CFD Simulations in Urban Street Canyons," Sustainability, MDPI, vol. 10(8), pages 1-21, August.
    21. Li, Tingting & Wang, Yong & Zhao, Dingtao, 2016. "Environmental Kuznets Curve in China: New evidence from dynamic panel analysis," Energy Policy, Elsevier, vol. 91(C), pages 138-147.
    22. Wang, Yuan & Han, Rong & Kubota, Jumpei, 2016. "Is there an Environmental Kuznets Curve for SO2 emissions? A semi-parametric panel data analysis for China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1182-1188.
    23. Saboori, Behnaz & Sulaiman, Jamalludin & Mohd, Saidatulakmal, 2012. "Economic growth and CO2 emissions in Malaysia: A cointegration analysis of the Environmental Kuznets Curve," Energy Policy, Elsevier, vol. 51(C), pages 184-191.
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