Quantitative assessment of PM2.5-related human health impacts at the provincial level in China and analysis of its heterogeneity affected by economic structural transformation

被引:0
|
作者
Wang, Yue [1 ]
Zhang, Xiaoyi [1 ]
Hu, Yanyong [2 ]
Du, Xiaolu [1 ]
Zhao, Xin [1 ]
Sun, Yingshan [1 ]
机构
[1] China Univ Min & Technol Beijing, Sch Management, Beijing, Peoples R China
[2] Henan Normal Univ, Sch Polit Sci & Publ Adm, Xinxiang, Peoples R China
关键词
economic structural transformation; PM2.5-HHI; final demand evolution; structural decomposition analysis; input-output analysis; regional heterogeneity; PM2.5; EMISSIONS; POLLUTION;
D O I
10.3389/fenvs.2024.1478649
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Rapid economic development has led to massive fossil energy consumption and emissions of air pollutants such as PM2.5, which have severely impacted human health and the environment. By uncovering the primary regions and pivotal sectors of PM2.5-related human health impacts (PM2.5-HHI) and evaluating the influence of economic structural factors on them, we can facilitate a more targeted strategy for managing PM2.5 pollution sources. This study employs a structural decomposition analysis method based on input-output analysis to evaluate the impact of China's provincial economic structural transformation and changes in final demand on PM2.5-HHI in the years 2012, 2015, and 2017. Results indicated that PM2.5-HHI is primarily concentrated in economically developed provinces (e.g., Shandong and Guangdong), which is compared to Shanghai, Heilongjiang, Liaoning, and Hebei experienced negative growth in PM2.5-HHI during 2007-2017. The production-based PM2.5-HHI is primarily driven by energy-intensive sectors such as the production and distribution of electric power and heat power. By contrast, the building sector is key to driving consumption-based PM2.5-HHI. An increasing number of regions are reducing PM2.5-HHI by implementing production structure changes. Moreover, the driving effect of production structure changes on PM2.5-HHI growth is strengthening in Beijing and Tianjin. Changes in the final demand structure mainly led to the growth of PM2.5-HHI in areas with higher economic development levels, such as Beijing and Shandong, but this driving effect is weakening. The final demand-driven PM2.5-HHI shows an evolutionary trend of an increasing share driven by fixed capital formation and exports and a decreasing share driven by household consumption. Changes in emission intensity play a key role in decreasing PM2.5-HHI in each region. Alternatively, changes in the structure of emission sources have a relatively minor impact on PM2.5-HHI. To mitigate PM2.5-HHI, regional economic and resource endowment advantages should be used to promote regional coordinated development and strengthen green production-process innovation in energy-intensive industries. Meanwhcile, it is necessary to optimize urban construction planning and improve the energy efficiency of buildings.
引用
收藏
页数:16
相关论文
共 27 条
  • [21] Quantifying the Impacts of Economic Progress, Economic Structure, Urbanization Process, and Number of Vehicles on PM2.5 Concentration: A Provincial Panel Data Model Analysis of China
    Zhao, Haoran
    Guo, Sen
    Zhao, Huiru
    INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2019, 16 (16)
  • [22] A Modelling Study on PM2.5-Related Health Impacts from Climate Change and Air Pollution Emission Control - China, 2010s and 2040s
    Huang, Jing
    Tian, Heng
    Wang, Jiawei
    Yang, Teng
    Peng, Yiran
    Wu, Shaowei
    Fu, Tzung-May
    Li, Guoxing
    CHINA CDC WEEKLY, 2021, 3 (23): : 500 - 506
  • [23] Assessment of population exposure to PM10 for respiratory disease in Lanzhou (China) and its health-related economic costs based on GIS
    Sun, Zhaobin
    An, Xingqin
    Tao, Yan
    Hou, Qing
    BMC PUBLIC HEALTH, 2013, 13
  • [24] Assessment of population exposure to PM10 for respiratory disease in Lanzhou (China) and its health-related economic costs based on GIS
    Zhaobin Sun
    Xingqin An
    Yan Tao
    Qing Hou
    BMC Public Health, 13
  • [25] Source Analysis and Human Health Risk Assessment Based on Entropy Weight Method Modification of PM2.5 Heavy Metal in an Industrial Area in the Northeast of China
    Sun, Siyu
    Zheng, Na
    Wang, Sujing
    Li, Yunyang
    Hou, Shengnan
    Song, Xue
    Du, Shanshan
    An, Qirui
    Li, Pengyang
    Li, Xiaoqian
    Hua, Xiuyi
    Dong, Deming
    ATMOSPHERE, 2021, 12 (07)
  • [26] Quarterly PM2.5 prediction using a novel seasonal grey model and its further application in health effects and economic loss assessment: evidences from Shanghai and Tianjin, China
    Wang, Jianzhou
    Du, Pei
    NATURAL HAZARDS, 2021, 107 (01) : 889 - 909
  • [27] Quarterly PM2.5 prediction using a novel seasonal grey model and its further application in health effects and economic loss assessment: evidences from Shanghai and Tianjin, China
    Jianzhou Wang
    Pei Du
    Natural Hazards, 2021, 107 : 889 - 909