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Research Article

Vol. 1 No. 1 (2025): International Journal of Multidisciplinary Research

Researce on the relationship between the sustainable development of low-carbon technology application industry in the current national economic system

DOI
https://doi.org/10.65231/ijmr.v1i1.10
Submitted
September 27, 2025
Published
2025-09-27 — Updated on 2025-10-14
Versions

Abstract

This paper analyzes the role of the low-carbon technology application industry in sustainable development by examining its relationship with the national economic system. Through a systematic study of how low-carbon technologies influence the structure and functioning of the national economic system, it aims to propose strategies for further promoting the development of low-carbon technologies and provide a reference for achieving sustainable economic development.

References

  1. Omer, A. M. (2008). Focus on low carbon technologies: The positive solution. Renewable and Sustainable Energy Reviews, 12(9), 2331-2357.
  2. Ockwell, D. G., Haum, R., Mallett, A., et al. (2010). Intellectual property rights and low carbon technology transfer: Conflicting discourses of diffusion and development. Global Environmental Change, 20(4), 729-738.
  3. Liu, Z., et al. (2024). Low-carbon economy and sustainable development: Driving force, synergistic mechanism, and implementation path. Frontiers in Environmental Science.
  4. Han, et al. (2024). Can Intellectual Property Rights Pilots Reduce Carbon Emissions? China Economic Review.
  5. Borojo,et al. (2024). The heterogeneous impacts of environmental technologies and research and development spending on green growth in emerging economies. Green Growth Studies.
  6. Wang, Y. (2025, April). Efficient Adverse Event Forecasting in Clinical Trials via Transformer-Augmented Survival Analysis. In Proceedings of the 2025 International Symposium on Bioinformatics and Computational Biology (pp. 92-97).
  7. Qi, R. (2025). DecisionFlow for SMEs: A Lightweight Visual Framework for Multi-Task Joint Prediction and Anomaly Detection.
  8. Zeng, R., Wang, X., Wang, Z., & Gu, Y. (2025). Logic and Path of China's Regional Economic Disparities: From Institutional Change, Factor Flow and Technological Innovation. Journal of Global Trends in Social Science, 2(8), 32-39.