Optimization for China’s Industrial Investment Allocation

DOI

10.2991/978-94-6463-888-2_9How to use a DOI?

Keywords

SLSQP; Non-Linear optimization; China’s industrial investment

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.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Zibo Nie
PY  - 2025
DA  - 2025/12/03
TI  - Optimization for China’s Industrial Investment Allocation
BT  - Proceedings of the 2025 7th International Conference on Economic Management and Cultural Industry (ICEMCI 2025)
PB  - Atlantis Press
SP  - 67
EP  - 74
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-888-2_9
DO  - 10.2991/978-94-6463-888-2_9
ID  - Nie2025
ER  -