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Supply-side structural effects of air pollutant emissions in China: A comparative analysis

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  • Xie, Rui
  • Wang, Fangfang
  • Chevallier, Julien
  • Zhu, Bangzhu
  • Zhao, Guomei

Abstract

China’s air quality has become a major issue affecting people’s livelihood and continues to deteriorate in recent times. It is an important issue of common concern for economists and policymakers to explore the drivers of the growth of air pollution emissions and the deteriorating environmental quality in China. From the perspective of supply-side structures, this paper adopts Ghosh input-output model to decompose the factors affecting the changes of air pollutant emissions into economic activities, economic structures, allocation structures and emission intensity. Using this model, we conduct a structural decomposition analysis of air pollutant emissions in China, India, USA, and Japan for 1995–2009. The results reveal that China’s economic structure initially promoted air pollutant emissions, but later played a role in reducing them. Further, whereas in Japan and particularly, China, allocation structures were found to be a key factor in increasing air pollutant emissions, in America and India, it played a critical role in reducing emissions. Our findings suggest that adjusting the distribution structure of intermediate products is crucial to reduce air pollution.

Suggested Citation

  • Xie, Rui & Wang, Fangfang & Chevallier, Julien & Zhu, Bangzhu & Zhao, Guomei, 2018. "Supply-side structural effects of air pollutant emissions in China: A comparative analysis," Structural Change and Economic Dynamics, Elsevier, vol. 46(C), pages 89-95.
  • Handle: RePEc:eee:streco:v:46:y:2018:i:c:p:89-95
    DOI: 10.1016/j.strueco.2018.04.005
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    1. Meng, Bo & Wang, Jianguo & Andrew, Robbie & Xiao, Hao & Xue, Jinjun & Peters, Glen P., 2017. "Spatial spillover effects in determining China's regional CO2 emissions growth: 2007–2010," Energy Economics, Elsevier, vol. 63(C), pages 161-173.
    2. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.
    3. Ang, B.W., 1995. "Decomposition methodology in industrial energy demand analysis," Energy, Elsevier, vol. 20(11), pages 1081-1095.
    4. Li, Fangyi & Song, Zhouying & Liu, Weidong, 2014. "China's energy consumption under the global economic crisis: Decomposition and sectoral analysis," Energy Policy, Elsevier, vol. 64(C), pages 193-202.
    5. Xie, Shi-Chen, 2014. "The driving forces of China׳s energy use from 1992 to 2010: An empirical study of input–output and structural decomposition analysis," Energy Policy, Elsevier, vol. 73(C), pages 401-415.
    6. 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.
    7. Hoekstra, Rutger & van den Bergh, Jeroen C. J. M., 2003. "Comparing structural decomposition analysis and index," Energy Economics, Elsevier, vol. 25(1), pages 39-64, January.
    8. Li, Huanan & Wei, Yi-Ming, 2015. "Is it possible for China to reduce its total CO2 emissions?," Energy, Elsevier, vol. 83(C), pages 438-446.
    9. Su, Bin & Ang, B.W., 2017. "Multiplicative structural decomposition analysis of aggregate embodied energy and emission intensities," Energy Economics, Elsevier, vol. 65(C), pages 137-147.
    10. Wang, H. & Ang, B.W. & Su, Bin, 2017. "A Multi-region Structural Decomposition Analysis of Global CO2 Emission Intensity," Ecological Economics, Elsevier, vol. 142(C), pages 163-176.
    11. Ang, B.W. & Liu, F.L., 2001. "A new energy decomposition method: perfect in decomposition and consistent in aggregation," Energy, Elsevier, vol. 26(6), pages 537-548.
    12. Su, Bin & Ang, B.W. & Li, Yingzhu, 2017. "Input-output and structural decomposition analysis of Singapore's carbon emissions," Energy Policy, Elsevier, vol. 105(C), pages 484-492.
    13. Yang, Chi-Jen & Zhou, Yipei & Jackson, Robert B., 2014. "China's fuel gas sector: History, current status, and future prospects," Utilities Policy, Elsevier, vol. 28(C), pages 12-21.
    14. Erik Dietzenbacher & Bart Los, 1998. "Structural Decomposition Techniques: Sense and Sensitivity," Economic Systems Research, Taylor & Francis Journals, vol. 10(4), pages 307-324.
    15. Ang, B. W. & Liu, F. L. & Chew, E. P., 2003. "Perfect decomposition techniques in energy and environmental analysis," Energy Policy, Elsevier, vol. 31(14), pages 1561-1566, November.
    16. Bin Su & B. W. Ang, 2012. "Structural Decomposition Analysis Applied To Energy And Emissions: Aggregation Issues," Economic Systems Research, Taylor & Francis Journals, vol. 24(3), pages 299-317, March.
    17. Zhang, Youguo, 2009. "Structural decomposition analysis of sources of decarbonizing economic development in China; 1992-2006," Ecological Economics, Elsevier, vol. 68(8-9), pages 2399-2405, June.
    18. Zhang, Youguo, 2010. "Supply-side structural effect on carbon emissions in China," Energy Economics, Elsevier, vol. 32(1), pages 186-193, January.
    19. Su, Bin & Ang, B.W., 2012. "Structural decomposition analysis applied to energy and emissions: Some methodological developments," Energy Economics, Elsevier, vol. 34(1), pages 177-188.
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    Cited by:

    1. Sun, Jiasen & Li, Guo & Wang, Zhaohua, 2018. "Optimizing China’s energy consumption structure under energy and carbon constraints," Structural Change and Economic Dynamics, Elsevier, vol. 47(C), pages 57-72.
    2. Yu, Miao & Zhao, Xintong & Gao, Yuning, 2019. "Factor decomposition of China’s industrial electricity consumption using structural decomposition analysis," Structural Change and Economic Dynamics, Elsevier, vol. 51(C), pages 67-76.
    3. Yongyou Nie & Yunhuan Gao & He He, 2022. "Modelling Structural Effect and Linkage on Carbon Emissions in China: An Environmentally Extended Semi-Closed Ghosh Input–Output Model," Energies, MDPI, vol. 15(17), pages 1-17, August.
    4. Xi Chen & Yingying Zhen & Zhanming Chen, 2023. "Household Carbon Footprint Characteristics and Driving Factors: A Global Comparison Based on a Dynamic Input–Output Model," Energies, MDPI, vol. 16(9), pages 1-18, May.
    5. Jiekun Song & Lina Jiang & Zeguo He & Zhicheng Liu & Xueli Leng, 2022. "Characteristics Analysis and Identification of Key Sectors of Air Pollutant Emissions in China from the Perspective of Complex Metabolic Network," IJERPH, MDPI, vol. 19(15), pages 1-28, July.

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    More about this item

    Keywords

    Ghosh input-output model; Air pollution; Structural decomposition analysis; Supply-side structure; China; International comparative analysis;
    All these keywords.

    JEL classification:

    • N50 - Economic History - - Agriculture, Natural Resources, Environment and Extractive Industries - - - General, International, or Comparative
    • N70 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services - - - General, International, or Comparative
    • N90 - Economic History - - Regional and Urban History - - - General, International, or Comparative

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