IDEAS home Printed from https://ideas.repec.org/a/mes/chinec/v54y2021i4p235-248.html
   My bibliography  Save this article

Artificial Intelligence and Sustainable Development in China

Author

Listed:
  • Subin Liengpunsakul

Abstract

This paper examines artificial intelligence (AI) and sustainable development in China. The Chinese government has developed ambitious policies for global leadership in the field of AI and sustainable development. While China has made progress in several areas of Sustainable Development Goals (SDGs), it is lagging behind in achieving the SDGs overall, and AI technologies can bolster its progress toward SDGs. Using the latest data of 193 countries around the world, the paper also analyzes the implication of AI on sustainable development both at the global and regional levels. Broadly, a strong positive relationship between the government AI readiness and progress toward SDGs is observed. When classifying the SDGs into four dimensions including economy, society, environment, and partnerships, government AI readiness is found to have a strong relationship with economy followed by the society dimension, whereas there are no clear relationships with the environment and partnerships dimensions. To fully harness and scale the power of AI to meet the SDGs, the Chinese policy maker should align the potential AI technologies to address its SDGs gap, and identify the priority or targeted areas and design appropriate business models and incentive structures for scaling viable solutions. AI technologies, when implemented strategically and properly, can accelerate China’s progress toward SDGs.

Suggested Citation

  • Subin Liengpunsakul, 2021. "Artificial Intelligence and Sustainable Development in China," Chinese Economy, Taylor & Francis Journals, vol. 54(4), pages 235-248, July.
    • Handle: RePEc:mes:chinec:v:54:y:2021:i:4:p:235-248
    DOI: 10.1080/10971475.2020.1857062
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10971475.2020.1857062
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10971475.2020.1857062?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.

    Citations

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


    Cited by:

    1. Salem Ahmed Alabdali & Salvatore Flavio Pileggi & Dilek Cetindamar, 2023. "Influential Factors, Enablers, and Barriers to Adopting Smart Technology in Rural Regions: A Literature Review," Sustainability, MDPI, vol. 15(10), pages 1-38, May.
    2. Awais, Minahil & Afzal, Ayesha & Firdousi, Saba & Hasnaoui, Amir, 2023. "Is fintech the new path to sustainable resource utilisation and economic development?," Resources Policy, Elsevier, vol. 81(C).
    3. Sandra Maria Correia Loureiro & Jorge Nascimento, 2021. "Shaping a View on the Influence of Technologies on Sustainable Tourism," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
    4. Yadav, Sanjeev & Samadhiya, Ashutosh & Kumar, Anil & Luthra, Sunil & Pandey, Krishan Kumar, 2024. "Nexus between fintech, green finance and natural resources management: Transition of BRICS nation industries from resource curse to resource blessed sustainable economies," Resources Policy, Elsevier, vol. 91(C).
    5. Guo Li & Jinfeng Wang & Xin Wang, 2023. "Construction and Path of Urban Public Safety Governance and Crisis Management Optimization Model Integrating Artificial Intelligence Technology," Sustainability, MDPI, vol. 15(9), pages 1-19, May.

    More about this item

    Statistics

    Access and download statistics

    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:mes:chinec:v:54:y:2021:i:4:p:235-248. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/MCES20 .

    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.