IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i13p5843-d1686973.html
   My bibliography  Save this article

Global Supply Chain Distribution and Natural Resources in the Era of Digitalization

Author

Listed:
  • Abdulmuttalip Pilatin

    (Department of Finance and Banking, Recep Tayyip Erdogan University, Fener Street, 53100 Rize, Türkiye)

  • Magdalena Radulescu

    (Department of Finance, Accounting and Economics, National University of Science and Technology Politehnica, 060042 Bucharest, Romania
    Institute of Doctoral and Post-Doctoral Studies, University Lucian Blaga of Sibiu, 550024 Sibiu, Romania
    UNEC Research Methods Application Center, Azerbaijan State University of Economics (UNEC), Istiqlaliyyat Str. 6, Baku 1001, Azerbaijan)

  • Abdulkadir Barut

    (Department of Finance and Banking, Recep Tayyip Erdogan University, Fener Street, 53100 Rize, Türkiye
    Siverek Vocational School, Harran University, 63300 Sanliurfa, Türkiye)

  • Mehmet Ragıp Görgün

    (Department of International Trade and Logistics, Harran University, 63300 Sanliurfa, Türkiye)

  • Hasan Çiftçi

    (Birecik Vocational School, Harran University, 63300 Sanliurfa, Türkiye)

  • Hind Alofaysan

    (Department of Economics, College of Business Administration, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia)

Abstract

This study examines the effects of supply chain disruptions and ICT product exports on natural resource rents in European countries between 2004 and 2022. The findings show that strong supply chains increase natural resource rents, while ICT product exports support environmental sustainability and reduce natural resource rents. Patents reduce natural resource rents, while investments made by financial institutions in resource-intensive sectors increase natural resource rents. In addition, urban population growth was found to put pressure on natural resources, leading to a decrease in natural resource rents. Importantly, economic growth has no significant effect on natural resource rents in EU countries.

Suggested Citation

  • Abdulmuttalip Pilatin & Magdalena Radulescu & Abdulkadir Barut & Mehmet Ragıp Görgün & Hasan Çiftçi & Hind Alofaysan, 2025. "Global Supply Chain Distribution and Natural Resources in the Era of Digitalization," Sustainability, MDPI, vol. 17(13), pages 1-16, June.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:13:p:5843-:d:1686973
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/13/5843/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/13/5843/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Linxuan Yu & Jing Xu & Xiang Yuan, 2024. "Sustainable Digital Shifts in Chinese Transport and Logistics: Exploring Green Innovations and Their ESG Implications," Sustainability, MDPI, vol. 16(5), pages 1-21, February.
    2. Khan, Zeeshan & Badeeb, Ramez Abubakr & Nawaz, Kishwar, 2022. "Natural resources and economic performance: Evaluating the role of political risk and renewable energy consumption," Resources Policy, Elsevier, vol. 78(C).
    3. Wee, Hui-Ming & Yang, Wen-Hsiung & Chou, Chao-Wu & Padilan, Marivic V., 2012. "Renewable energy supply chains, performance, application barriers, and strategies for further development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(8), pages 5451-5465.
    4. Adam, Isabelle & Fazekas, Mihály, 2021. "Are emerging technologies helping win the fight against corruption? A review of the state of evidence," Information Economics and Policy, Elsevier, vol. 57(C).
    5. Li, Wei & Cao, Ning & Xiang, Zejia, 2023. "Drivers of renewable energy transition: The role of ICT, human development, financialization, and R&D investment in China," Renewable Energy, Elsevier, vol. 206(C), pages 441-450.
    6. 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).
    7. Xie, Mingting & Irfan, Muhammad & Razzaq, Asif & Dagar, Vishal, 2022. "Forest and mineral volatility and economic performance: Evidence from frequency domain causality approach for global data," Resources Policy, Elsevier, vol. 76(C).
    8. Emenike, Scholastica N. & Falcone, Gioia, 2020. "A review on energy supply chain resilience through optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
    9. 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.
    10. Samin Shaaban-Nejad & Farid Shirazi, 2022. "ICT and Environmental Sustainability: A Comparative Study," Sustainability, MDPI, vol. 14(14), pages 1-24, July.
    11. Oluwarotimi Ayokunnu Owolabi & Adedayo Oluseun Adedeji & Busayo Aderounmu & Asa-Ruth Oboko Oku & Toun Ogunbiyi, 2023. "Do Information and Communications Technology (ICT) and financial development contribute to economic diversification? Evidence from sub-Saharan Africa," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 12(1), pages 1-18, December.
    12. Murshed, Muntasir, 2020. "Are Trade Liberalization policies aligned with Renewable Energy Transition in low and middle income countries? An Instrumental Variable approach," Renewable Energy, Elsevier, vol. 151(C), pages 1110-1123.
    13. Choi, Yeri & Lee, Sugie, 2020. "The impact of urban physical environments on cooling rates in summer: Focusing on interaction effects with a kernel-based regularized least squares (KRLS) model," Renewable Energy, Elsevier, vol. 149(C), pages 523-534.
    14. Hainmueller, Jens & Hazlett, Chad, 2014. "Kernel Regularized Least Squares: Reducing Misspecification Bias with a Flexible and Interpretable Machine Learning Approach," Political Analysis, Cambridge University Press, vol. 22(2), pages 143-168, April.
    15. Muhammad Shahbaz & Mohammad Ali Aboutorabi & Farzaneh Ahmadian Yazdi, 2024. "Foreign Capital, Natural Resource Rents and Financial Development: A New Approach," Global Business Review, International Management Institute, vol. 25(2), pages 401-420, April.
    16. Qiu-Su Wang & Chi-Wei Su & Yu-Fei Hua & Muhammad Umar, 2022. "How can new energy vehicles affect air quality in China?— From the perspective of crude oil price," Energy & Environment, , vol. 33(8), pages 1524-1544, December.
    17. Yangyang Gu & Xuning Qiao & Mengjia Xu & Changxin Zou & Dong Liu & Dan Wu & Yan Wang, 2019. "Assessing the Impacts of Urban Expansion on Bundles of Ecosystem Services by Dmsp-Ols Nighttime Light Data," Sustainability, MDPI, vol. 11(21), pages 1-17, October.
    18. Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(1), pages 105-121, February.
    19. Yongrok Choi & Hyoungsuk Lee & Hojin Jeong & Jahira Debbarma, 2023. "Urbanization Paradox of Environmental Policies in Korean Local Governments," Land, MDPI, vol. 12(2), pages 1-15, February.
    Full references (including those not matched with items on IDEAS)

    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. Chen, Liang & Guo, Yirong, 2023. "The drivers of sustainable development: Natural resources extraction and education for low-middle- and high-income countries," Resources Policy, Elsevier, vol. 86(PB).
    2. Khan, Zeeshan & Hossain, Mohammad Razib & Badeeb, Ramez Abubakr & Zhang, Changyong, 2023. "Aggregate and disaggregate impact of natural resources on economic performance: Role of green growth and human capital," Resources Policy, Elsevier, vol. 80(C).
    3. Xu, Xiaofang & Yu, Wanqing & Zhao, Xingju & Xu, Wei, 2023. "Reassessing the linkage between natural resources and economic growth in China: Delving into the impacts of national resource taxes, renewable energy, financial advancements, and provincial fiscal exp," Resources Policy, Elsevier, vol. 86(PA).
    4. Zhongwei, Huang & Liu, Yishu, 2022. "The role of eco-innovations, trade openness, and human capital in sustainable renewable energy consumption: Evidence using CS-ARDL approach," Renewable Energy, Elsevier, vol. 201(P1), pages 131-140.
    5. Faik Bilgili & Daniel Balsalobre-Lorente & Sevda Kuşkaya & Mohammed Alnour & Seyit Önderol & Mohammad Enamul Hoque, 2024. "Are research and development on energy efficiency and energy sources effective in the level of CO2 emissions? Fresh evidence from EU data," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(9), pages 24183-24219, September.
    6. Murshed, Muntasir & Saboori, Behnaz & Madaleno, Mara & Wang, Hong & Doğan, Buhari, 2022. "Exploring the nexuses between nuclear energy, renewable energy, and carbon dioxide emissions: The role of economic complexity in the G7 countries," Renewable Energy, Elsevier, vol. 190(C), pages 664-674.
    7. Fang, Shuya & Fang, Wei, 2023. "How fiscal decentralization and trade diversification influence sustainable development: Moderating role of resources dependency," Resources Policy, Elsevier, vol. 84(C).
    8. Roy, Arup, 2024. "Impacts of economic development, globalization, and gross capital formation on natural resources rents: Evidence from India," Resources Policy, Elsevier, vol. 97(C).
    9. Bedri Kamil Onur Tas, 2024. "A machine learning approach to detect collusion in public procurement with limited information," Journal of Computational Social Science, Springer, vol. 7(2), pages 1913-1935, October.
    10. Zheng, Chengting & Wu, Shufang & Teng, Yin-Pei & Wu, Shuzhao & Wang, Zhe, 2023. "Natural resources, tourism resources and economic growth: A new direction to natural resources perspective and investment," Resources Policy, Elsevier, vol. 86(PB).
    11. Zahonogo, Windbeneti Arnaud, 2025. "Do tariff reductions alleviate energy poverty? Evidence for Sub-Saharan African countries," Energy Policy, Elsevier, vol. 197(C).
    12. Destek, Mehmet Akif & Hossain, Mohammad Razib & Aydın, Sercan & Shakib, Mohammed & Destek, Gamze, 2023. "Investigating the role of economic complexity in evading the resource curse," Resources Policy, Elsevier, vol. 86(PB).
    13. İbrahim Özmen & Selçuk Bali & Festus Victor Bekun, 2024. "Is Abrams curve a myth or reality? Evidence from two Baltic countries," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(3), pages 2709-2733, June.
    14. Namahoro, J.P. & Nzabanita, J. & Wu, Q., 2021. "The impact of total and renewable energy consumption on economic growth in lower and middle- and upper-middle-income groups: Evidence from CS-DL and CCEMG analysis," Energy, Elsevier, vol. 237(C).
    15. Feng, Yanchao & Yan, Tong & Zhang, Ci & Zhang, Zhenhua & Pan, Yuxi, 2025. "Assessing the internal nexus of energy transition at the global level: Insights from triple aspects of scale, structure, and efficiency," Energy, Elsevier, vol. 320(C).
    16. Li, Ruoyu & Gan, Yufei & Bao, Yifei & Zhou, Yun & Si, Dingwen & Liu, Qian, 2024. "Natural resources efficiency in terms of digital economy: Institutional efficiency and digital economy from the lens of natural resources," Resources Policy, Elsevier, vol. 93(C).
    17. Alsagr, Naif & Ozturk, Ilhan, 2024. "How do energy security risk and ICT affect green investment?," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1044-1055.
    18. Caravaggio, Nicola, 2020. "A global empirical re-assessment of the Environmental Kuznets curve for deforestation," Forest Policy and Economics, Elsevier, vol. 119(C).
    19. Kartal, Mustafa Tevfik & Pata, Ugur Korkut & Kılıç Depren, Serpil & Depren, Özer, 2023. "Effects of possible changes in natural gas, nuclear, and coal energy consumption on CO2 emissions: Evidence from France under Russia’s gas supply cuts by dynamic ARDL simulations approach," Applied Energy, Elsevier, vol. 339(C).
    20. Murshed, Muntasir & Tanha, Muntaha Masud, 2020. "Oil Price Shocks and Renewable Energy Transition: Empirical evidence from net oil-importing South Asian economies," MPRA Paper 100162, University Library of Munich, Germany.

    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:gam:jsusta:v:17:y:2025:i:13:p:5843-:d:1686973. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.