IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v88y2024ics0301420723012217.html
   My bibliography  Save this article

Employing artificial intelligence and enhancing resource efficiency to achieve carbon neutrality

Author

Listed:
  • Shang, Yunfeng
  • Yang, Qin
  • Pu, Yuanjie
  • Taghizadeh-Hesary, Farhad

Abstract

This study collected annual data from 2000 to 2020 for ten polluting industries in China, investigating the impact of energy efficiency and artificial intelligence on carbon neutralization. The findings indicate that increased industrial robot installation facilitates short-term and long-term carbon neutralization. In addition, an increase in energy efficiency facilitates short-term and long-term carbon neutralization. Investing in artificial intelligence (AI) and robotic technologies to boost carbon neutralization is recommended. Key practical recommendations from this research include promoting sustainable AI, investing in green technologies, and hiring a green-minded, skilled workforce.

Suggested Citation

  • Shang, Yunfeng & Yang, Qin & Pu, Yuanjie & Taghizadeh-Hesary, Farhad, 2024. "Employing artificial intelligence and enhancing resource efficiency to achieve carbon neutrality," Resources Policy, Elsevier, vol. 88(C).
  • Handle: RePEc:eee:jrpoli:v:88:y:2024:i:c:s0301420723012217
    DOI: 10.1016/j.resourpol.2023.104510
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420723012217
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.resourpol.2023.104510?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.

    References listed on IDEAS

    as
    1. Nishant, Rohit & Kennedy, Mike & Corbett, Jacqueline, 2020. "Artificial intelligence for sustainability: Challenges, opportunities, and a research agenda," International Journal of Information Management, Elsevier, vol. 53(C).
    2. Rentier, Gerrit & Lelieveldt, Herman & Kramer, Gert Jan, 2019. "Varieties of coal-fired power phase-out across Europe," Energy Policy, Elsevier, vol. 132(C), pages 620-632.
    3. Chang, Lei & Taghizadeh-Hesary, Farhad & Mohsin, Muhammad, 2023. "Role of artificial intelligence on green economic development: Joint determinates of natural resources and green total factor productivity," Resources Policy, Elsevier, vol. 82(C).
    4. Galaz, Victor & Centeno, Miguel A. & Callahan, Peter W. & Causevic, Amar & Patterson, Thayer & Brass, Irina & Baum, Seth & Farber, Darryl & Fischer, Joern & Garcia, David & McPhearson, Timon & Jimenez, 2021. "Artificial intelligence, systemic risks, and sustainability," Technology in Society, Elsevier, vol. 67(C).
    5. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    6. Joakim Westerlund, 2007. "Testing for Error Correction in Panel Data," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 69(6), pages 709-748, December.
    7. Pesaran, M. Hashem & Vanessa Smith, L. & Yamagata, Takashi, 2013. "Panel unit root tests in the presence of a multifactor error structure," Journal of Econometrics, Elsevier, vol. 175(2), pages 94-115.
    8. M. Hashem Pesaran, 2021. "General diagnostic tests for cross-sectional dependence in panels," Empirical Economics, Springer, vol. 60(1), pages 13-50, January.
    9. Naoyuki Yoshino & Ehsan Rasoulinezhad & Farhad Taghizadeh-Hesary, 2021. "Economic Impacts of Carbon Tax in a General Equilibrium Framework: Empirical Study of Japan," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 23(01n02), pages 1-25, June.
    10. Shu Zhang & Wenying Chen, 2022. "Assessing the energy transition in China towards carbon neutrality with a probabilistic framework," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    11. Zhao, Linhai & Rasoulinezhad, Ehsan, 2023. "Role of natural resources utilization efficiency in achieving green economic recovery: Evidence from BRICS countries," Resources Policy, Elsevier, vol. 80(C).
    12. Wang, Wen & Niu, Yanfang & Gapich, Alexander & Strielkowski, Wadim, 2023. "Natural resources extractions and carbon neutrality: The role of geopolitical risk," Resources Policy, Elsevier, vol. 83(C).
    13. Yao, Yourong & Shen, Yue & Liu, Kexin, 2023. "Investigation of resource utilization in urbanization development: An analysis based on the current situation of carbon emissions in China," Resources Policy, Elsevier, vol. 82(C).
    14. Ehsan Rasoulinezhad, 2020. "Environmental Impact Assessment Analysis in the Kahak’s Wind Farm," Journal of Environmental Assessment Policy and Management (JEAPM), World Scientific Publishing Co. Pte. Ltd., vol. 22(01n02), pages 1-15, June.
    15. Li, Guo & Zakari, Abdulrasheed & Tawiah, Vincent, 2020. "Energy resource melioration and CO2 emissions in China and Nigeria: Efficiency and trade perspectives," Resources Policy, Elsevier, vol. 68(C).
    16. Siyu Ren & Yu Hao & Haitao Wu, 2022. "How Does Green Investment Affect Environmental Pollution? Evidence from China," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 81(1), pages 25-51, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Gao, Zhibin & Li, Zengrong, 2024. "Role of free media and political openness in achieving resources efficiency and sustainability," Resources Policy, Elsevier, vol. 90(C).
    2. Xu, Jin & Liu, Chengjun & Dou, Gang & Cai, Yunfei, 2024. "Mineral resource management in Chinese rural areas: Policy assessment for green economic growth," Resources Policy, Elsevier, vol. 90(C).
    3. Zhang, Ming & Wei, Xuejiao, 2024. "Resource efficiency, cultural industry, and green economic growth: A synergistic approach," Resources Policy, Elsevier, vol. 90(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wang, Chuangang & Li, Xin, 2024. "Optimizing the utilization of mineral assets and human resources for enhanced social welfare and sustainable development," Resources Policy, Elsevier, vol. 90(C).
    2. Ma, Xuewen & Zhang, Dongming, 2023. "Digitalization of the economy for fossil fuels efficiency and carbon neutrality," Resources Policy, Elsevier, vol. 86(PA).
    3. Xu, Jiaqi & Zhao, Jingfeng & Liu, Wen, 2023. "A comparative study of renewable and fossil fuels energy impacts on green development in Asian countries with divergent income inequality," Resources Policy, Elsevier, vol. 85(PA).
    4. Chunyang Wang & Qianqian He & Jian Xu, 2024. "Exploring the role of quality and inclusive education in meeting sustainable development goals," Economic Change and Restructuring, Springer, vol. 57(3), pages 1-15, June.
    5. Zhang, Ming & Wei, Xuejiao, 2024. "Resource efficiency, cultural industry, and green economic growth: A synergistic approach," Resources Policy, Elsevier, vol. 90(C).
    6. Liu, Xiaoxia & Yang, Ming & Shao, Zongyuan & Liu, Liyan & Gu, Weiyu, 2024. "Assessment of impacts of mineral raw material resource efficiency on enterprise performance," Resources Policy, Elsevier, vol. 90(C).
    7. Liu, Biao & Lyu, Yifei, 2024. "Economic corruption, green recovery, and mineral trade relationships in emerging economies," Resources Policy, Elsevier, vol. 90(C).
    8. Gao, Zhibin & Li, Zengrong, 2024. "Role of free media and political openness in achieving resources efficiency and sustainability," Resources Policy, Elsevier, vol. 90(C).
    9. Xiao, Zunlan & Duritan, Mary Josephine M. & Jia, Ruoya, 2024. "Resourceful futures: Integrating responsible mining and green education for sustainable development in developing and emerging economies," Resources Policy, Elsevier, vol. 88(C).
    10. Wen Jiayu & Zehao Wang, 2024. "RETRACTED ARTICLE: Economic integration through renewable energy and digital currency in RCEP," Economic Change and Restructuring, Springer, vol. 57(2), pages 1-16, April.
    11. Liu, Shijie & Lin, Minhua, 2024. "Trade dynamics of ferrous metals in emerging and developing countries," Resources Policy, Elsevier, vol. 90(C).
    12. Sun, Weiqing & Shao, Mingqi & Yang, Dongqing, 2024. "Role of essential minerals in achieving low-carbon economy and sustainability," Resources Policy, Elsevier, vol. 90(C).
    13. Liu, Wen & Xu, Jiaqi & Cao, Lei & Li, Fuchang, 2024. "Towards iron ore mining sustainability and low-carbon transformation: Policies and implications," Resources Policy, Elsevier, vol. 90(C).
    14. Wang, Yonglong & Wang, Rui, 2024. "Mineral resource rent and sustainable transition: The mediating role of financial development," Resources Policy, Elsevier, vol. 89(C).
    15. Li, Liang & Chen, Yifu, 2024. "The impact of intellectual property protection on the performance of fossil fuel extraction and production companies in developing countries," Resources Policy, Elsevier, vol. 89(C).
    16. Shang, Yunfeng & Zong, Yi, 2024. "Role of e-commerce for promoting sustainability in the mining sector," Resources Policy, Elsevier, vol. 90(C).
    17. Li, Xinqiang & Wang, Cheng, 2024. "Clean Energy's influence on the mineral resource market in the ASEAN region," Resources Policy, Elsevier, vol. 91(C).
    18. Cheng, Xuanmei & Yan, Chengnuo & Ye, Kaite & Chen, Kanxiang, 2024. "Enhancing resource efficiency through the utilization of the green bond market: An empirical analysis of Asian economies," Resources Policy, Elsevier, vol. 89(C).
    19. Zhang, Ming & Li, Xiaoyan & Pai, Chih-Hung & Ding, Huanhuan & Zhang, Xuan, 2023. "Green credit and fossil fuel resource efficiency: Advancing sustainability in Asia," Resources Policy, Elsevier, vol. 86(PB).
    20. Liu, Nan & Teng, Long & Tian, Wenjuan & Li, Ying, 2023. "Does digitalization enhance fossil fuels resources efficiency?," Resources Policy, Elsevier, vol. 85(PA).

    More about this item

    Keywords

    Resource utilization; Resource efficiency; Carbon neutralization; Artificial intelligence; Sustainable robot;
    All these keywords.

    JEL classification:

    • Q30 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - General
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    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:eee:jrpoli:v:88:y:2024:i:c:s0301420723012217. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    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.