IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-888-2_9.html

Optimization for China’s Industrial Investment Allocation

In: Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)

Author

Listed:
  • Zibo Nie

    (China University of Geosciences (Wuhan), School of Computer Science)

Abstract

This study investigates the optimization of industrial investment allocation in China, addressing the challenges of over-concentration in certain sectors and inefficiencies in resource distribution. A multi-objective optimization model is proposed using Sequential Least Squares Quadratic Programming (SLSQP) to allocate investments across 13 key industries, with the aim of maximizing GDP while minimizing CO2 emissions. Data from China’s National Bureau of Statistics (NBS) from 1990 to 2023 is utilized to inform the model. The results indicate a shift in investment priorities, favoring industries with high economic returns and low environmental impact, such as information technology services and finance, while reducing allocations to high-emission sectors like chemical and metal manufacturing. The study highlights the importance of balancing economic growth and environmental sustainability in industrial investment decisions. The optimized allocation supports China’s strategic goals outlined in the 14th Five-Year Plan and the 2060 carbon neutrality target. This research contributes to the development of a scalable decision-making tool for policymakers, offering insights into how China can achieve sustainable growth by optimizing resource distribution across diverse sectors. Future work will refine the model to account for social and strategic factors beyond economic and environmental considerations.

Suggested Citation

  • Zibo Nie, 2025. "Optimization for China’s Industrial Investment Allocation," Advances in Economics, Business and Management Research, in: Abdelhak Senadjki & Chee Yoong Liew & Yahua Xu & Fong Peng Chew (ed.), Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025), pages 67-74, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-888-2_9
    DOI: 10.2991/978-94-6463-888-2_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;

    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:spr:advbcp:978-94-6463-888-2_9. 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: 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.