IDEAS home Printed from https://ideas.repec.org/p/gtr/gatrjs/jber272.html

Competitiveness Vulnerabilities: Petroleum Dependency and Infrastructure Exposure Across Development Levels

Author

Listed:
  • Chen Chen Yong

    (Faculty of Business and Economics, Universiti Malaya, 50603 Kuala Lumpur, Malaysia Author-2-Name: Muhammad Hafiz Abdul Majid Author-2-Workplace-Name: Faculty of Business and Economics, Universiti Malaya, 50603 Kuala Lumpur, Malaysia Author-3-Name: Muhammad Aizat Zainal Alam Author-3-Workplace-Name: Faculty of Business and Economics, Universiti Malaya, 50603 Kuala Lumpur, Malaysia Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)

Abstract

" Objective - Critical infrastructure sectors form the backbone of national security and economic resilience, yet their dependence on petroleum inputs creates vulnerabilities that are inadequately measured. This study applies hypothetical extraction methodology to examine how petroleum supply disruptions would impact critical infrastructure across four developed economies (the United States, Japan, Germany, and the United Kingdom) and four developing economies (India, Indonesia, Malaysia, and Thailand). Methodology - Using input-output analysis, we analyze six essential infrastructure sectors, including inland transport, air transport, water transport, telecommunications, utilities, and public administration. Findings - Our findings reveal striking differences that challenge conventional assumptions about energy security. Developing economies exhibit 2.56 times higher overall infrastructure vulnerability than developed economies. Transportation sectors consistently emerge as the most vulnerable across all countries, with inland transport ranking first in all countries. However, individual patterns reveal significant paradoxes: the United States exhibits unexpectedly high vulnerability despite domestic oil production, whereas the United Kingdom demonstrates exceptional resilience despite its dependence on imports. Novelty - The research identifies two distinct ""infrastructure development paradigms"": efficiency-first models and resilience-integrated approaches. Malaysia exhibits extreme vulnerability, with inland transport scoring 37.88 on the Infrastructure Vulnerability Index, whereas the UK maintains comprehensive resilience at an average IVI of 1.13. The study reveals that developing economies exhibit ""amplification effects,"" in which disruptions cascade with minimal dampening, whereas most developed economies demonstrate ""dampening effects"" that contain vulnerabilities. These findings provide essential insights for national security planning and energy transition policies, demonstrating that infrastructure resilience results from specific design choices rather than automatic outcomes of economic development. Type of Paper - Empirical"

Suggested Citation

  • Chen Chen Yong, 2026. "Competitiveness Vulnerabilities: Petroleum Dependency and Infrastructure Exposure Across Development Levels," GATR Journals jber272, Global Academy of Training and Research (GATR) Enterprise.
  • Handle: RePEc:gtr:gatrjs:jber272
    DOI: https://doi.org/10.35609/jber.2026.10.4(5)
    as

    Download full text from publisher

    File URL: https://gatrenterprise.com/GATRJournals/JBER/pdf_files/JBERVol-10(4)2026/5.Chen%20Chen%20Yong.pdf
    Download Restriction: http://gatrenterprise.com/GATRJournals/online_submission.html

    File URL: https://libkey.io/https://doi.org/10.35609/jber.2026.10.4(5)?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. Hiroyasu Inoue & Yasuyuki Todo, 2020. "The propagation of economic impacts through supply chains: The case of a mega-city lockdown to prevent the spread of COVID-19," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-10, September.
    2. Brown, Charlotte & Seville, Erica & Vargo, John, 2017. "Measuring the organizational resilience of critical infrastructure providers: A New Zealand case study," International Journal of Critical Infrastructure Protection, Elsevier, vol. 18(C), pages 37-49.
    3. Sonis, Michael & Guilhoto, Joaquim José Martins & Hewings, Geoffrey J.D. & Martins, Eduardo B., 1995. "Linkages, key sectors and structural change: some new perspectives," MPRA Paper 54754, University Library of Munich, Germany.
    4. Reggiani, Aura & Nijkamp, Peter & Lanzi, Diego, 2015. "Transport resilience and vulnerability: The role of connectivity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 4-15.
    5. Martha G. Alatriste Contreras & Giorgio Fagiolo, 2014. "Propagation of economic shocks in input-output networks: A cross-country analysis," Post-Print hal-01474258, HAL.
    6. Andr�s Rodr�guez-Pose, 2013. "Do Institutions Matter for Regional Development?," Regional Studies, Taylor & Francis Journals, vol. 47(7), pages 1034-1047, July.
    7. Stirling, Andy, 2010. "Multicriteria diversity analysis: A novel heuristic framework for appraising energy portfolios," Energy Policy, Elsevier, vol. 38(4), pages 1622-1634, April.
    8. Jan Oosterhaven & Dirk Stelder, 2002. "Net Multipliers Avoid Exaggerating Impacts: With A Bi–Regional Illustration for the Dutch Transportation Sector," Journal of Regional Science, Wiley Blackwell, vol. 42(3), pages 533-543, August.
    9. McNerney, James & Fath, Brian D. & Silverberg, Gerald, 2013. "Network structure of inter-industry flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(24), pages 6427-6441.
    10. Giovanni Dosi & Christopher Freeman & Richard Nelson & Gerarld Silverberg & Luc Soete (ed.), 1988. "Technical Change and Economic Theory," LEM Book Series, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy, number dosietal-1988.
    11. Umed Temurshoev & Jan Oosterhaven, 2014. "Analytical and Empirical Comparison of Policy-Relevant Key Sector Measures," Spatial Economic Analysis, Taylor & Francis Journals, vol. 9(3), pages 284-308, September.
    12. Cherp, Aleh & Jewell, Jessica, 2014. "The concept of energy security: Beyond the four As," Energy Policy, Elsevier, vol. 75(C), pages 415-421.
    13. Adam Rose & Shu‐Yi Liao, 2005. "Modeling Regional Economic Resilience to Disasters: A Computable General Equilibrium Analysis of Water Service Disruptions," Journal of Regional Science, Wiley Blackwell, vol. 45(1), pages 75-112, February.
    14. Wang, Sun Ling & McPhail, Lihong, 2014. "Impacts of energy shocks on US agricultural productivity growth and commodity prices—A structural VAR analysis," Energy Economics, Elsevier, vol. 46(C), pages 435-444.
    15. Blanchard, Olivier & Wolfers, Justin, 2000. "The Role of Shocks and Institutions in the Rise of European Unemployment: The Aggregate Evidence," Economic Journal, Royal Economic Society, vol. 110(462), pages 1-33, March.
    16. Sergey V. Buldyrev & Roni Parshani & Gerald Paul & H. Eugene Stanley & Shlomo Havlin, 2010. "Catastrophic cascade of failures in interdependent networks," Nature, Nature, vol. 464(7291), pages 1025-1028, April.
    17. Dabo Guan & Daoping Wang & Stephane Hallegatte & Steven J. Davis & Jingwen Huo & Shuping Li & Yangchun Bai & Tianyang Lei & Qianyu Xue & D’Maris Coffman & Danyang Cheng & Peipei Chen & Xi Liang & Bing, 2020. "Global supply-chain effects of COVID-19 control measures," Nature Human Behaviour, Nature, vol. 4(6), pages 577-587, June.
    18. Stern, David I., 2000. "A multivariate cointegration analysis of the role of energy in the US macroeconomy," Energy Economics, Elsevier, vol. 22(2), pages 267-283, April.
    19. Sharifi, Ayyoob & Yamagata, Yoshiki, 2016. "Principles and criteria for assessing urban energy resilience: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1654-1677.
    20. Scott Thacker & Daniel Adshead & Marianne Fay & Stéphane Hallegatte & Mark Harvey & Hendrik Meller & Nicholas O’Regan & Julie Rozenberg & Graham Watkins & Jim W. Hall, 2019. "Infrastructure for sustainable development," Nature Sustainability, Nature, vol. 2(4), pages 324-331, April.
    21. Unruh, Gregory C., 2000. "Understanding carbon lock-in," Energy Policy, Elsevier, vol. 28(12), pages 817-830, October.
    22. Hallegatte, Stephane, 2014. "Economic resilience: definition and measurement," Policy Research Working Paper Series 6852, The World Bank.
    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. Chopra, Shauhrat S. & Khanna, Vikas, 2015. "Interconnectedness and interdependencies of critical infrastructures in the US economy: Implications for resilience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 865-877.
    2. Ali Faridzad, 2025. "Applying machine learning to input–output analysis: a new perspective on identifying key Australian industries," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 14(1), pages 1-27, December.
    3. Julian Maluck & Reik V Donner, 2015. "A Network of Networks Perspective on Global Trade," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-24, July.
    4. Shuning Chen & Masaru Kagatsume, 2018. "Impacts of environmental conservation programs on regional economic structural change in Guizhou, China, from 2002 to 2012: an input–output analysis," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 7(1), pages 1-18, December.
    5. Xing, Lizhi & Dong, Xianlei & Guan, Jun, 2017. "Global industrial impact coefficient based on random walk process and inter-country input–output table," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 576-591.
    6. Melliger, Marc, 2023. "Quantifying technology skewness in European multi-technology auctions and the effect of design elements and other driving factors," Energy Policy, Elsevier, vol. 175(C).
    7. Liu, Huan & Tatano, Hirokazu & Pflug, Georg & Hochrainer-Stigler, Stefan, 2021. "Post-disaster recovery in industrial sectors: A Markov process analysis of multiple lifeline disruptions," Reliability Engineering and System Safety, Elsevier, vol. 206(C).
    8. Coronese, Matteo & Occelli, Martina & Lamperti, Francesco & Roventini, Andrea, 2023. "AgriLOVE: Agriculture, land-use and technical change in an evolutionary, agent-based model," Ecological Economics, Elsevier, vol. 208(C).
    9. Yifan Yang & S. Thomas Ng & Frank J. Xu & Martin Skitmore & Shenghua Zhou, 2019. "Towards Resilient Civil Infrastructure Asset Management: An Information Elicitation and Analytical Framework," Sustainability, MDPI, vol. 11(16), pages 1-24, August.
    10. Malik, Sadia & Qasim, Maha & Saeed, Hasan & Chang, Youngho & Taghizadeh-Hesary, Farhad, 2020. "Energy security in Pakistan: Perspectives and policy implications from a quantitative analysis," Energy Policy, Elsevier, vol. 144(C).
    11. Rita María del Río-Chanona & Jelena Grujić & Henrik Jeldtoft Jensen, 2017. "Trends of the World Input and Output Network of Global Trade," PLOS ONE, Public Library of Science, vol. 12(1), pages 1-14, January.
    12. Costantini, Valeria & Martini, Chiara, 2010. "The causality between energy consumption and economic growth: A multi-sectoral analysis using non-stationary cointegrated panel data," Energy Economics, Elsevier, vol. 32(3), pages 591-603, May.
    13. Kashin Sugishita & Yasuo Asakura, 2021. "Vulnerability studies in the fields of transportation and complex networks: a citation network analysis," Public Transport, Springer, vol. 13(1), pages 1-34, March.
    14. Liu, Wei & Song, Zhaoyang, 2020. "Review of studies on the resilience of urban critical infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    15. Das, Laya & Munikoti, Sai & Natarajan, Balasubramaniam & Srinivasan, Babji, 2020. "Measuring smart grid resilience: Methods, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
    16. Martha Alatriste-Contreras, 2015. "The relationship between the key sectors in the european union economy and the intra-European Union trade," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-24, December.
    17. Lila Ballav Bhusal, 2025. "Key sector identification of Nepal: an integrated approach with linkage and hypothetical extraction method," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 14(1), pages 1-21, December.
    18. Taberna, Alessandro & Filatova, Tatiana & Roventini, Andrea & Lamperti, Francesco, 2022. "Coping with increasing tides: Evolving agglomeration dynamics and technological change under exacerbating hazards," Ecological Economics, Elsevier, vol. 202(C).
    19. Jose Carlos Cañizares & Samantha Marie Copeland & Neelke Doorn, 2021. "Making Sense of Resilience," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    20. Yicheol Han & Stephan J Goetz, 2019. "Measuring network rewiring over time," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-13, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • Q31 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation - - - Demand and Supply; Prices
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:gtr:gatrjs:jber272. 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: Prof. Dr. Abd Rahim Mohamad (email available below). General contact details of provider: http://gatrenterprise.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.