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Critical structural paths of residential PM2.5 emissions within the Chinese provinces

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  • Nagashima, Fumiya

Abstract

Consumption-based approach has provided beneficial information for understanding the key industries driving the huge life-cycle PM2.5 emissions. However, the residential sector, which is the largest emitter of carbonaceous aerosols in China, has been treated exogenously and neglected in the context of consumption-based thinking. This study aims to extend the endogenous input-output system by incorporating residential PM2.5 emissions in China into the consumption → production → income process. I find that households engaged in high income industries such as “other services”, “agriculture” and “construction” in Sichuan, Shangdong, Guangxi and Anhui mainly contributed their own residential PM2.5 emissions. Furthermore, the final demand of urban areas for construction, transport equipment and agriculture drove rural areas' residential emissions through production of commodities such as nonmetal products, coal mining, agriculture, and metallurgy.

Suggested Citation

  • Nagashima, Fumiya, 2018. "Critical structural paths of residential PM2.5 emissions within the Chinese provinces," Energy Economics, Elsevier, vol. 70(C), pages 465-471.
  • Handle: RePEc:eee:eneeco:v:70:y:2018:i:c:p:465-471
    DOI: 10.1016/j.eneco.2018.01.033
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    Cited by:

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    3. Keisuke Nansai & Susumu Tohno & Satoru Chatani & Keiichiro Kanemoto & Shigemi Kagawa & Yasushi Kondo & Wataru Takayanagi & Manfred Lenzen, 2021. "Consumption in the G20 nations causes particulate air pollution resulting in two million premature deaths annually," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    4. Feng Dong & Jingyun Li & Zhicheng Li & Yuhuan Chen & Lu Zheng & Bin Lu & Yajie Liu, 2024. "Exploring synergistic decoupling of haze pollution and carbon emissions in emerging economies: fresh evidence from China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 17281-17318, July.
    5. Jingyuan Li & Jinhua Cheng & Yang Wen & Jingyu Cheng & Zhong Ma & Peiqi Hu & Shurui Jiang, 2022. "The Cause of China’s Haze Pollution: City Level Evidence Based on the Extended STIRPAT Model," IJERPH, MDPI, vol. 19(8), pages 1-18, April.
    6. Liu, Lan-Cui & Cheng, Lei & Zhao, Lu-Tao & Cao, Ying & Wang, Ce, 2020. "Investigating the significant variation of coal consumption in China in 2002-2017," Energy, Elsevier, vol. 207(C).
    7. Jingke, Hong & Chenyu, Wang & Chang-Richards, Alice & Jingxiao, Zhang & Qiping, Geoffrey Shen & Bei, Qiao, 2022. "A spatiotemporal analysis of energy use pathways in the construction industry: A study of China," Energy, Elsevier, vol. 239(PC).
    8. Wang, Saige & Cao, Tao & Chen, Bin, 2021. "Identifying critical sectors and supply chain paths for virtual water and energy-related water trade in China," Applied Energy, Elsevier, vol. 299(C).

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    More about this item

    Keywords

    Multiregional input–output analysis; Residential PM2.5 emissions; Structural path analysis;
    All these keywords.

    JEL classification:

    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy
    • Q53 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Air Pollution; Water Pollution; Noise; Hazardous Waste; Solid Waste; Recycling
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
    • R28 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Government Policy

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