IDEAS home Printed from https://ideas.repec.org/a/eee/eneeco/v144y2025ics0140988325002257.html

Evaluating the role of green innovation and global supply chain digitization in natural resource utilization for energy resilience: An empirical evidence from panel quantile regression

Author

Listed:
  • Zhang, Yonghong
  • Li, Yao
  • Wu, Hong
  • Peng, Yinan

Abstract

Overexploitation of natural resources has globally become a major concern. This has prompted researchers to investigate the key factors that influence natural resource utilization and identify potential solutions to mitigate the associated issues. The excessive use of natural resources relies on supply chain distribution and green innovation development. To fill the literature and empirical gap, the present study evaluates the role of green innovation and global supply chain digitization in natural resource utilization. The study works on a global panel set of 133 economies from 1990 to 2023. The study uses the Simultaneous Panel Quantile Regression approach to capture the conditional distribution of natural resource usage across various economies, whereas the baseline regression model is pooled Ordinary Least Squares. The regression outcomes suggested the positive role of green innovation, digitization, and building materials in natural resource usage in the highest quantile. The resource impact of global supply chain distribution is reported to be positive in the highest quantile and negative in the lowest quantile. Furthermore, it was discovered that building materials had a favorable impact on the use of natural resources at every quantile. By showing how process and technology advancements can either improve or worsen resource usage, depending on their degree of application, the study substantiates the existence of the environmental rebound effect in 133 economies. According to the findings, authorities must concentrate on boosting digital supply chains and green innovation, encouraging eco-friendly technology, and putting plans in place to lessen the strain on natural resources. To move toward a more sustainable and knowledge-based economy, suggestions include enacting green taxes, offering financial incentives for environmentally friendly substitutes, luring in foreign direct investment, and bolstering green finance.

Suggested Citation

  • Zhang, Yonghong & Li, Yao & Wu, Hong & Peng, Yinan, 2025. "Evaluating the role of green innovation and global supply chain digitization in natural resource utilization for energy resilience: An empirical evidence from panel quantile regression," Energy Economics, Elsevier, vol. 144(C).
    • Handle: RePEc:eee:eneeco:v:144:y:2025:i:c:s0140988325002257
    DOI: 10.1016/j.eneco.2025.108401
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0140988325002257
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.eneco.2025.108401?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Syed, Qasim Raza & Durani, Farah & Kisswani, Khalid M. & Alola, Andrew Adewale & Siddiqui, Aaliyah & Anwar, Ahsan, 2024. "Testing natural resource curse hypothesis amidst geopolitical risk: Global evidence using novel Fourier augmented ARDL approach," Resources Policy, Elsevier, vol. 88(C).
    2. Sachs, J-D & Warner, A-M, 1995. "Natural Resource Abundance and Economic Growth," Papers 517a, Harvard - Institute for International Development.
    3. Cao, Bing & Biqing, li & li, Jiaying & Hafeez, Muhammad, 2023. "An assessment of resource curse hypothesis for Chinese economy," Resources Policy, Elsevier, vol. 87(PB).
    4. Vidal, Carlos J. & Goetschalckx, Marc, 1997. "Strategic production-distribution models: A critical review with emphasis on global supply chain models," European Journal of Operational Research, Elsevier, vol. 98(1), pages 1-18, April.
    5. Natalia A. Chernysheva & Victoria V. Perskaya & Alexander M. Petrov & Anna A. Bakulina, 2019. "Green Energy for Belt and Road Initiative: Economic Aspects Today and in the Future," International Journal of Energy Economics and Policy, Econjournals, vol. 9(5), pages 178-185.
    6. Zhang, Jianhua & Liu, Yushan & Zhang, Weihua & Ma, Xinyuan, 2023. "Role of green technologies in enhancing the efficiency of natural resources," Resources Policy, Elsevier, vol. 83(C).
    7. Thorvaldur Gylfason, 2011. "Natural Resource Endowment: A Mixed Blessing?," CESifo Working Paper Series 3353, CESifo.
    8. Thomas M. Corsi & Sandor Boyson & Alexander Verbraeck & Stijn‐Pieter Van Houten & Chaodong Han & John R. Macdonald, 2006. "The Real‐Time Global Supply Chain Game: New Educational Tool for Developing Supply Chain Management Professionals," Transportation Journal, John Wiley & Sons, vol. 45(3), pages 61-73, June.
    9. Asif, Muhammad & Khan, Khan Burhan & Anser, Muhammad Khalid & Nassani, Abdelmohsen A. & Abro, Muhammad Moinuddin Qazi & Zaman, Khalid, 2020. "Dynamic interaction between financial development and natural resources: Evaluating the ‘Resource curse’ hypothesis," Resources Policy, Elsevier, vol. 65(C).
    10. Jianing, Pang & Bai, Keke & Solangi, Yasir Ahmed & Magazzino, Cosimo & Ayaz, Kamran, 2024. "Examining the role of digitalization and technological innovation in promoting sustainable natural resource exploitation," Resources Policy, Elsevier, vol. 92(C).
    11. Zheng, ShiYong & Liu, Hua & Hafeez, Muhammad & Wang, Xiaofeng & Fahad, Shah & Yue, Xiao-Guang, 2023. "Testing the resource curse hypothesis: The dynamic roles of institutional quality, inflation and growth for Dragon," Resources Policy, Elsevier, vol. 85(PA).
    12. Anser, Muhammad Khalid & Yousaf, Zahid & Zaman, Khalid & Nassani, Abdelmohsen A. & Alotaibi, Saad M. & Jambari, Hanifah & Khan, Aqeel & Kabbani, Ahmad, 2020. "Determination of resource curse hypothesis in mediation of financial development and clean energy sources: Go-for-green resource policies," Resources Policy, Elsevier, vol. 66(C).
    13. Tamat Sarmidi & Siong Hook Law & Yaghoob Jafari, 2014. "Resource Curse: New Evidence on the Role of Institutions," International Economic Journal, Taylor & Francis Journals, vol. 28(1), pages 191-206, March.
    14. Miao, Chenglin & Fang, Debin & Sun, Liyan & Luo, Qiaoling, 2017. "Natural resources utilization efficiency under the influence of green technological innovation," Resources, Conservation & Recycling, Elsevier, vol. 126(C), pages 153-161.
    15. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, Enero-Abr.
    16. Zhang, Dongyang & Kong, Qunxi, 2022. "Green energy transition and sustainable development of energy firms: An assessment of renewable energy policy," Energy Economics, Elsevier, vol. 111(C).
    17. Işık, Cem & Ongan, Serdar & Islam, Hasibul & Menegaki, Angeliki N., 2026. "Corrigendum to “A roadmap for sustainable global supply chain distribution: Exploring the interplay of ECON-ESG factors, technological advancement and SDGs on natural resources” [Resources Policy 95 (2024) 105114]," Resources Policy, Elsevier, vol. 115(C).
    18. Meixell, Mary J. & Gargeya, Vidyaranya B., 2005. "Global supply chain design: A literature review and critique," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(6), pages 531-550, November.
    19. Papyrakis, Elissaios & Gerlagh, Reyer, 2004. "The resource curse hypothesis and its transmission channels," Journal of Comparative Economics, Elsevier, vol. 32(1), pages 181-193, March.
    20. Wang, Rong & Tan, Junlan & Yao, Shuangliang, 2021. "Are natural resources a blessing or a curse for economic development? The importance of energy innovations," Resources Policy, Elsevier, vol. 72(C).
    21. Yilanci, Veli & Turkmen, N. Ceren & Shah, Muhammad Ibrahim, 2022. "An empirical investigation of resource curse hypothesis for cobalt," Resources Policy, Elsevier, vol. 78(C).
    22. Badeeb, Ramez Abubakr & Lean, Hooi Hooi & Clark, Jeremy, 2017. "The evolution of the natural resource curse thesis: A critical literature survey," Resources Policy, Elsevier, vol. 51(C), pages 123-134.
    23. Corden, W Max & Neary, J Peter, 1982. "Booming Sector and De-Industrialisation in a Small Open Economy," Economic Journal, Royal Economic Society, vol. 92(368), pages 825-848, December.
    24. Guo, Yating & Wong, Wing-Keung & Su, Nan & Ghardallou, Wafa & Orosco Gavilán, Juan Carlos & Uyen, Pham Thi Minh & Cong, Phan The, 2023. "Resource curse hypothesis and economic growth: A global analysis using bootstrapped panel quantile regression analysis," Resources Policy, Elsevier, vol. 85(PA).
    25. Dong, Kangyin & Dong, Xiucheng & Jiang, Qingzhe & Zhao, Jun, 2021. "Assessing energy resilience and its greenhouse effect: A global perspective," Energy Economics, Elsevier, vol. 104(C).
    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. Wenhua Xu & Qixiang Yuan & Naixin Chen & Jian Ye, 2025. "Green Finance and Energy Structure Transition: Evidence from China," Sustainability, MDPI, vol. 17(11), pages 1-20, May.

    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. Ozcan, Burcu & Temiz, Mehmet & Gültekin Tarla, Esma, 2023. "The resource curse phenomenon in the case of precious metals: A panel evidence from top 19 exporting countries," Resources Policy, Elsevier, vol. 81(C).
    2. Khan, Muhammad Atif & Gu, Lulu & Khan, Muhammad Asif & Oláh, Judit, 2020. "Natural resources and financial development: The role of institutional quality," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    3. Pérez, Claudia & Claveria, Oscar, 2020. "Natural resources and human development: Evidence from mineral-dependent African countries using exploratory graphical analysis," Resources Policy, Elsevier, vol. 65(C).
    4. Hwang, Young Kyu & Díez, Ángeles Sánchez & Inglesi-Lotz, Roula, 2024. "The effects of critical mineral endowments on green economic growth in Latin America," Resources Policy, Elsevier, vol. 98(C).
    5. Guo, Yating & Wong, Wing-Keung & Su, Nan & Ghardallou, Wafa & Orosco Gavilán, Juan Carlos & Uyen, Pham Thi Minh & Cong, Phan The, 2023. "Resource curse hypothesis and economic growth: A global analysis using bootstrapped panel quantile regression analysis," Resources Policy, Elsevier, vol. 85(PA).
    6. Alssadek, Marwan & Benhin, James, 2023. "Natural resource curse: A literature survey and comparative assessment of regional groupings of oil-rich countries," Resources Policy, Elsevier, vol. 84(C).
    7. Ruba A. Aljarallah & Andrew Angus, 2020. "Dilemma of Natural Resource Abundance: A Case Study of Kuwait," SAGE Open, , vol. 10(1), pages 21582440198, January.
    8. Shahbaz, Muhammad & Ahmed, Khalid & Tiwari, Aviral Kumar & Jiao, Zhilun, 2019. "Resource curse hypothesis and role of oil prices in USA," Resources Policy, Elsevier, vol. 64(C).
    9. Shiru Sun & Fei Meng & Muhammad Atif Nawaz & Sobia Hanif, 2025. "A re‐assessment of the Resource Curse Hypothesis in top resource‐rich developing countries: Fresh insights using method of moments quantile regression," Natural Resources Forum, Blackwell Publishing, vol. 49(3), pages 2436-2462, August.
    10. Li, Zhiyuan & Doğan, Buhari & Ghosh, Sudeshna & Chen, Wei-Ming & Lorente, Daniel Balsalobre, 2024. "Economic complexity, natural resources and economic progress in the era of sustainable development: Findings in the context of resource deployment challenges," Resources Policy, Elsevier, vol. 88(C).
    11. Chung, Changwoo & Jin, Taeyoung, 2025. "Revealing the role of institutional quality and geopolitical risk in natural resources curse hypothesis," Resources Policy, Elsevier, vol. 100(C).
    12. Badeeb, Ramez Abubakr & Lean, Hooi Hooi & Clark, Jeremy, 2017. "The evolution of the natural resource curse thesis: A critical literature survey," Resources Policy, Elsevier, vol. 51(C), pages 123-134.
    13. Laszlo Szalai, 2018. "Institutions and Resource-driven Development," World Journal of Applied Economics, WERI-World Economic Research Institute, vol. 4(1), pages 39-53, June.
    14. Ruba Abdullah Aljarallah, 2020. "The Economic Impacts of Natural Resource Dependency in Gulf Countries," International Journal of Energy Economics and Policy, Econjournals, vol. 10(6), pages 36-52.
    15. Destek, Mehmet Akif & Hossain, Mohammad Razib & Manga, Müge & Destek, Gamze, 2024. "Can digital government reduce the resource dependency? Evidence from method of moments quantile technique," Resources Policy, Elsevier, vol. 99(C).
    16. Matata Ponyo Mapon & Jean-Paul K. Tsasa, 2019. "The artefact of the Natural Resources Curse," Papers 1911.09681, arXiv.org.
    17. Muhammad Atif Khan & Muhammad Asif Khan & Kishwar Ali & József Popp & Judit Oláh, 2020. "Natural Resource Rent and Finance: The Moderation Role of Institutions," Sustainability, MDPI, vol. 12(9), pages 1-23, May.
    18. Satti, Saqlain Latif & Farooq, Abdul & Loganathan, Nanthakumar & Shahbaz, Muhammad, 2014. "Empirical evidence on the resource curse hypothesis in oil abundant economy," Economic Modelling, Elsevier, vol. 42(C), pages 421-429.
    19. Njangang, Henri & Asongu, Simplice A. & Tadadjeu, Sosson & Nounamo, Yann & Kamguia, Brice, 2022. "Governance in mitigating the effect of oil wealth on wealth inequality: A cross-country analysis of policy thresholds," Resources Policy, Elsevier, vol. 76(C).
    20. Yongming Huang & Bwimo Borniface Bebi & Soukzana ladtakoun, 2025. "Does financial development have an impact on mineral resource rents? Evidence from China," Mineral Economics, Springer;Raw Materials Group (RMG);Luleå University of Technology, vol. 38(2), pages 337-357, June.

    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:eee:eneeco:v:144:y:2025:i:c:s0140988325002257. 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/eneco .

    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.