IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v107y2021i3d10.1007_s11069-020-04495-7.html
   My bibliography  Save this article

Big data revealed relationship between air pollution and manufacturing industry in China

Author

Listed:
  • Wei Sun

    (Nanjing University of Information Science & Technology)

  • Yufei Hou

    (Nanjing University of Information Science &Technology)

  • Lanjiang Guo

    (Wells Fargo Bank)

Abstract

Air pollution emissions can exceed the environmental self-purification capacity and trigger hazardous meteorological events, which have non negligible impacts on all aspects of society. The aim of this paper is to study the relationship between China’s manufacturing industry benefits and air quality, taking into account the role of government policies in the era of big data, and to study the change points in the time series relationship between industry benefits and air quality. First, we apply and analyze big data and estimate values based on the maximum deviation method. Then, gray relational analysis is used to identify change points, which occur in 2005 and 2010 for both industry benefits and air quality. The total study period is divided into three subperiods: 1998–2005, 2006–2010, and 2011–2017. We find that air pollution control policy was relatively extensive from 1998 to 2005, and that there was a negative relationship between air quality and manufacturing industry benefits. From 2006 to 2010, a positive relationship gradually appeared and, since 2011, with the popularization of big data technology in policy making and environmental governance, intergovernmental cooperation has deepened and manufacturing enterprises have been more actively involved in governance. Consequently, the positive relationship between air quality and the comprehensive benefits of the manufacturing industry has remained stable. Finally, suggestions for policy makers and manufacturing companies are made from the perspectives of system construction, integration, and differentiation, big data challenges, and enterprise innovation.

Suggested Citation

  • Wei Sun & Yufei Hou & Lanjiang Guo, 2021. "Big data revealed relationship between air pollution and manufacturing industry in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2533-2553, July.
    • Handle: RePEc:spr:nathaz:v:107:y:2021:i:3:d:10.1007_s11069-020-04495-7
    DOI: 10.1007/s11069-020-04495-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-020-04495-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11069-020-04495-7?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cole, Matthew A. & Elliott, Robert J.R. & Shimamoto, Kenichi, 2005. "Industrial characteristics, environmental regulations and air pollution: an analysis of the UK manufacturing sector," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 121-143, July.
    2. Zhang, Junze & Luo, Mengting & Cao, Shixiong, 2018. "How deep is China’s environmental Kuznets curve? An analysis based on ecological restoration under the Grain for Green program," Land Use Policy, Elsevier, vol. 70(C), pages 647-653.
    3. Yang Xiao & Beiqun Li & Zaiwu Gong, 2018. "Real-time identification of urban rainstorm waterlogging disasters based on Weibo big data," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 94(2), pages 833-842, November.
    4. Ruiling Sun & Ge Gao & Zaiwu Gong & Jie Wu, 2020. "A review of risk analysis methods for natural disasters," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 100(2), pages 571-593, January.
    5. Xu, Tao, 2018. "Investigating Environmental Kuznets Curve in China–Aggregation bias and policy implications," Energy Policy, Elsevier, vol. 114(C), pages 315-322.
    6. Churchill, Sefa Awaworyi & Inekwe, John & Ivanovski, Kris & Smyth, Russell, 2018. "The Environmental Kuznets Curve in the OECD: 1870–2014," Energy Economics, Elsevier, vol. 75(C), pages 389-399.
    7. Nurrohim, Agus & Sakugawa, Hiroshi, 2004. "A fuel-based inventory of NOx and SO2 emissions from manufacturing industries in Hiroshima Prefecture, Japan," Applied Energy, Elsevier, vol. 78(4), pages 355-369, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Shen, Qiong & Pan, Yuxi & Meng, Xiangxu & Ling, Xiao & Hu, Shilei & Feng, Yanchao, 2023. "How does the transition policy of mineral resource-exhausted cities affect the process of industrial upgrading? New empirical evidence from China," Resources Policy, Elsevier, vol. 86(PB).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhammad Khan & Arslan Tariq Rana & Wafa Ghardallou, 2023. "FDI and CO2 emissions in developing countries: the role of human capital," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 1125-1155, May.
    2. Tiba, Sofien & Frikha, Mohamed, 2019. "The controversy of the resource curse and the environment in the SDGs background: The African context," Resources Policy, Elsevier, vol. 62(C), pages 437-452.
    3. Li, Wenqing & Qiao, Yuanbo & Li, Xiao & Wang, Yutao, 2022. "Energy consumption, pollution haven hypothesis, and Environmental Kuznets Curve: Examining the environment–economy link in belt and road initiative countries," Energy, Elsevier, vol. 239(PE).
    4. Abdelmohsen A. Nassani & Muhammad Moinuddin Qazi Abro & Rubeena Batool & Syed Haider Ali Shah & Shabir Hyder & Khalid Zaman, 2021. "Go‐for‐green policies: The role of finance and trade for sustainable development," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1409-1423, January.
    5. Muhammad Khan, 2020. "CO2 emissions and sustainable economic development: New evidence on the role of human capital," Sustainable Development, John Wiley & Sons, Ltd., vol. 28(5), pages 1279-1288, September.
    6. Eleni Zafeiriou & Ioannis Mallidis & Konstantinos Galanopoulos & Garyfallos Arabatzis, 2018. "Greenhouse Gas Emissions and Economic Performance in EU Agriculture: An Empirical Study in a Non-Linear Framework," Sustainability, MDPI, vol. 10(11), pages 1-18, October.
    7. Zhao, Jing & Zhao, Ziru & Zhang, Huan, 2021. "The impact of growth, energy and financial development on environmental pollution in China: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 93(C).
    8. Soberon, Alexandra & Mazzanti, Massimiliano & Musolesi, Antonio & Rodriguez-Poo, Juan M., 2025. "Efficient estimation of a partially linear panel data model with cross-sectional dependence," Journal of Multivariate Analysis, Elsevier, vol. 206(C).
    9. Boulanouar, Zakaria & Essid, Lobna & Omri, Anis, 2024. "Achieving carbon neutrality in emerging markets: The dual impact of energy transition investments on economic growth and carbon emissions," International Review of Economics & Finance, Elsevier, vol. 96(PC).
    10. Ehigiamusoe, Kizito Uyi & Lean, Hooi Hooi & Smyth, Russell, 2020. "The moderating role of energy consumption in the carbon emissions-income nexus in middle-income countries," Applied Energy, Elsevier, vol. 261(C).
    11. Lei Ding & Xuejuan Fang, 2022. "Spatial–temporal distribution of air-pollution-intensive industries and its social-economic driving mechanism in Zhejiang Province, China: a framework of spatial econometric analysis," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1681-1712, February.
    12. Matthew A. Cole & Robert J.R. Elliott & Jing Zhang, 2011. "Growth, Foreign Direct Investment, And The Environment: Evidence From Chinese Cities," Journal of Regional Science, Wiley Blackwell, vol. 51(1), pages 121-138, February.
    13. Xin Nie & Jianxian Wu & Han Wang & Weijuan Li & Chengdao Huang & Lihua Li, 2022. "Contributing to carbon peak: Estimating the causal impact of eco‐industrial parks on low‐carbon development in China," Journal of Industrial Ecology, Yale University, vol. 26(4), pages 1578-1593, August.
    14. Guorong Chen & Changyan Liu, 2023. "Can Low–Carbon City Development Stimulate Population Growth? Insights from China’s Low–Carbon Pilot Program," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    15. Maranzano, Paolo & Cerdeira Bento, Joao Paulo & Manera, Matteo, 2021. "The Role of Education and Income Inequality on Environmental Quality. A Panel Data Analysis of the EKC Hypothesis on OECD," FEEM Working Papers 310225, Fondazione Eni Enrico Mattei (FEEM).
    16. Karine Constant & Marion Davin, 2019. "Unequal Vulnerability to Climate Change and the Transmission of Adverse Effects Through International Trade," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(2), pages 727-759, October.
    17. Usman, Muhammad & Khalid, Khaizran & Mehdi, Muhammad Abuzar, 2021. "What determines environmental deficit in Asia? Embossing the role of renewable and non-renewable energy utilization," Renewable Energy, Elsevier, vol. 168(C), pages 1165-1176.
    18. Yu Zhang & Lijun Hu & Ruilei Liu, 2025. "Environmental Target Constraint and Corporate Pollution Emissions: Evidence from China," Sustainability, MDPI, vol. 17(9), pages 1-20, April.
    19. Llorca, Manuel & Rodriguez-Alvarez, Ana, 2024. "Economic, environmental, and energy equity convergence: Evidence of a multi-speed Europe?," Ecological Economics, Elsevier, vol. 219(C).
    20. Dana C. Andersen, 2016. "Credit Constraints, Technology Upgrading, and the Environment," Journal of the Association of Environmental and Resource Economists, University of Chicago Press, vol. 3(2), pages 283-319.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:nathaz:v:107:y:2021:i:3:d:10.1007_s11069-020-04495-7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.