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Knowledge Graph of Low-Carbon Technologies in the Energy Sector and Cost Evolution Based on LDA2Vec: A Case Study in China

Author

Listed:
  • Xingjiu Zhao

    (School of Economics and Management, Beijing University of Technology, Beijing 100124, China)

  • Zhiwen Peng

    (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

  • Sibao Fu

    (School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing 100876, China)

Abstract

Climate change has attracted global attention, highlighting the critical role of low-carbon technologies in addressing environmental challenges. Due to the multidisciplinary nature, complexity, and diversity of research content on low-carbon technologies, a comprehensive overview is still limited. This paper uses bibliometrics analysis to discuss the research status and hotspots of low-carbon technology from a macro-perspective. The LDA2Vec topic recognition model is adopted to identify key technical terms, and CiteSpace software 6.3.1 Advanced Edition is used to conduct in-depth analysis of the development trajectory of low-carbon technology. After checking the frequency of the relevant keywords, four key techniques were identified. In order to further analyze the research results, the learning curve theory is used to predict the cost development trend of key low-carbon technologies. The results show that: (i) low-carbon technologies play a key role in the energy sector and have a potential impact on policy making, and the cost of related technologies will be significantly reduced in the next few years. (ii) Global low-carbon technologies have entered an important period of development, but remaining challenges need to be addressed by optimizing technological performance. (iii) It is very important to strengthen the research on hydrogen production technology and photovoltaic power generation technology; the cost reduction in hydrogen production technology is still significant and there is room for further optimization. (iv) To effectively address the high costs and technical barriers associated with emerging low-carbon technologies, increased funding for research and development is critical.

Suggested Citation

  • Xingjiu Zhao & Zhiwen Peng & Sibao Fu, 2024. "Knowledge Graph of Low-Carbon Technologies in the Energy Sector and Cost Evolution Based on LDA2Vec: A Case Study in China," Sustainability, MDPI, vol. 16(17), pages 1-26, August.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7337-:d:1464373
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    References listed on IDEAS

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    1. Zhang, Wei & Li, Jing & Li, Guoxiang & Guo, Shucen, 2020. "Emission reduction effect and carbon market efficiency of carbon emissions trading policy in China," Energy, Elsevier, vol. 196(C).
    2. Napp, T.A. & Few, S. & Sood, A. & Bernie, D. & Hawkes, A. & Gambhir, A., 2019. "The role of advanced demand-sector technologies and energy demand reduction in achieving ambitious carbon budgets," Applied Energy, Elsevier, vol. 238(C), pages 351-367.
    3. Morris, Jennifer & Paltsev, Sergey & Ku, Anthony Y., 2019. "Impacts of China's emissions trading schemes on deployment of power generation with carbon capture and storage," Energy Economics, Elsevier, vol. 81(C), pages 848-858.
    4. Shigong Lv & Yanying Lv & Da Gao & Lulu Liu, 2023. "The Path to Green Development: The Impact of a Carbon Emissions Trading Scheme on Enterprises’ Environmental Protection Investments," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
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