IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v20y2023i3p2444-d1051111.html
   My bibliography  Save this article

Is ICT Development Conducive to Reducing the Vulnerability of Low-Carbon Energy? Evidence from OECD Countries

Author

Listed:
  • Lingling Zhou

    (Graduate School of Management, Management and Science University, University Drive, Off Persiaran Olahraga, Section 13, Shah Alam 40100, Malaysia)

  • Tao Shi

    (Economics Institute, Henan Academy of Social Science, Zhengzhou 450002, China
    Hebi High-Quality Development Research Institution, Hebi 458030, China)

  • Qian Zhou

    (Economics School, Zhongnan University of Economics and Law, Wuhan 430073, China)

Abstract

This paper constructs a low-carbon energy vulnerability system with the three dimensions of economy–society–environment, uses the entropy method to measure the low-carbon energy vulnerability index of Organization for Economic Co-operation and Development (OECD) countries from 2002 to 2018, and observes the essential characteristics. On this basis, we analyze the impact of the development of the Information Communication Technology (ICT) service industry on the vulnerability of low-carbon energy and explore the moderating effects of technological innovation and resource consumption. This paper draws the following conclusions: (1) The low-carbon energy vulnerability of OECD countries shows a gradual downward trend, showing three stages of “continuous rise—declining volatility—low-level fluctuation”. The low-carbon energy policies and implementation efforts in different countries have become the key to reducing the vulnerabilities of low-carbon energy in OECD countries. The economic and social vulnerabilities of low-carbon energy in most countries are outstanding. (2) The development of the ICT service industry benefits by reducing the vulnerability of low-carbon energy with a significant weakening effect, while high-vulnerability countries benefit even more. (3) In the weakening effect of the development of the ICT service industry on the vulnerability of low-carbon energy, technological innovation exerts an enhanced moderating effect, and resource consumption exerts a disruptive moderating effect. Technological innovation accelerates the weakening effect of the ICT service industry, and resource consumption is not conducive to the weakening effect of the ICT service industry. Based on this, we draw corresponding policy recommendations.

Suggested Citation

  • Lingling Zhou & Tao Shi & Qian Zhou, 2023. "Is ICT Development Conducive to Reducing the Vulnerability of Low-Carbon Energy? Evidence from OECD Countries," IJERPH, MDPI, vol. 20(3), pages 1-22, January.
  • Handle: RePEc:gam:jijerp:v:20:y:2023:i:3:p:2444-:d:1051111
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/20/3/2444/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/20/3/2444/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Wang, Bing & Ke, Ruo-Yu & Yuan, Xiao-Chen & Wei, Yi-Ming, 2014. "China׳s regional assessment of renewable energy vulnerability to climate change," Renewable and Sustainable Energy Reviews, Elsevier, vol. 40(C), pages 185-195.
    2. Tikoudis, Ioannis & Farrow, Katherine & Mebiame, Rose Mba & Oueslati, Walid, 2022. "Beyond average population density: Measuring sprawl with density-allocation indicators," Land Use Policy, Elsevier, vol. 112(C).
    3. Tarroja, Brian & Peer, Rebecca A.M. & Sanders, Kelly T. & Grubert, Emily, 2020. "How do non-carbon priorities affect zero-carbon electricity systems? A case study of freshwater consumption and cost for Senate Bill 100 compliance in California," Applied Energy, Elsevier, vol. 265(C).
    4. Zhu, Jiong & Liu, Shouying & Li, Yihao, 2021. "Removing the “Hats of Poverty”: Effects of ending the national poverty county program on fiscal expenditures," China Economic Review, Elsevier, vol. 69(C).
    5. Wissner, Matthias, 2011. "ICT, growth and productivity in the German energy sector - On the way to a smart grid?," Utilities Policy, Elsevier, vol. 19(1), pages 14-19, January.
    6. Genave, Anna & Blancard, Stéphane & Garabedian, Sabine, 2020. "An assessment of energy vulnerability in Small Island Developing States," Ecological Economics, Elsevier, vol. 171(C).
    7. Pan, Xiongfeng & Ai, Bowei & Li, Changyu & Pan, Xianyou & Yan, Yaobo, 2019. "Dynamic relationship among environmental regulation, technological innovation and energy efficiency based on large scale provincial panel data in China," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 428-435.
    8. Danish & Jianwu Zhang & Bo Wang & Zahid Latif, 2019. "Towards cross‐regional sustainable development: The nexus between information and communication technology, energy consumption, and CO2 emissions," Sustainable Development, John Wiley & Sons, Ltd., vol. 27(5), pages 990-1000, September.
    9. Jiang, Yonghong & He, Luli & Meng, Juan & Nie, He, 2019. "Nonlinear impact of economic policy uncertainty shocks on credit scale: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 626-634.
    10. Shahbaz, Muhammad & Raghutla, Chandrashekar & Song, Malin & Zameer, Hashim & Jiao, Zhilun, 2020. "Public-private partnerships investment in energy as new determinant of CO2 emissions: The role of technological innovations in China," Energy Economics, Elsevier, vol. 86(C).
    11. Gnansounou, Edgard, 2008. "Assessing the energy vulnerability: Case of industrialised countries," Energy Policy, Elsevier, vol. 36(10), pages 3734-3744, October.
    12. Chen, Wenhui & Lei, Yalin, 2018. "The impacts of renewable energy and technological innovation on environment-energy-growth nexus: New evidence from a panel quantile regression," Renewable Energy, Elsevier, vol. 123(C), pages 1-14.
    13. Bester Chimbo, 2020. "Energy Consumption, Information and Communication Technology and Economic Growth in an African Context," International Journal of Energy Economics and Policy, Econjournals, vol. 10(4), pages 486-493.
    14. Vural, Gulfer, 2021. "Analyzing the impacts of economic growth, pollution, technological innovation and trade on renewable energy production in selected Latin American countries," Renewable Energy, Elsevier, vol. 171(C), pages 210-216.
    15. Lan-Cui Liu & Gang Wu, 2015. "Assessment of energy supply vulnerability between China and USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 127-138, February.
    16. Sovacool, Benjamin K. & Lipson, Matthew M. & Chard, Rose, 2019. "Temporality, vulnerability, and energy justice in household low carbon innovations," Energy Policy, Elsevier, vol. 128(C), pages 495-504.
    17. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2019. "Institutional quality, green innovation and energy efficiency," Energy Policy, Elsevier, vol. 135(C).
    18. Zheng, Jiajia & Wang, Xingwu, 2021. "Can mobile information communication technologies (ICTs) promote the development of renewables?-evidence from seven countries," Energy Policy, Elsevier, vol. 149(C).
    19. Neofytou, H. & Nikas, A. & Doukas, H., 2020. "Sustainable energy transition readiness: A multicriteria assessment index," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    20. Pilpola, Sannamari & Lund, Peter D., 2020. "Analyzing the effects of uncertainties on the modelling of low-carbon energy system pathways," Energy, Elsevier, vol. 201(C).
    21. Mohajeri, Nahid & Perera, A.T.D. & Coccolo, Silvia & Mosca, Lucas & Le Guen, Morgane & Scartezzini, Jean-Louis, 2019. "Integrating urban form and distributed energy systems: Assessment of sustainable development scenarios for a Swiss village to 2050," Renewable Energy, Elsevier, vol. 143(C), pages 810-826.
    22. Wei, Wendong & Cai, Wenqiu & Guo, Yi & Bai, Caiquan & Yang, Luzhen, 2020. "Decoupling relationship between energy consumption and economic growth in China's provinces from the perspective of resource security," Resources Policy, Elsevier, vol. 68(C).
    23. Zhang, Yali & Li, Wenqi & Wu, Feng, 2020. "Does energy transition improve air quality? Evidence derived from China’s Winter Clean Heating Pilot (WCHP) project," Energy, Elsevier, vol. 206(C).
    24. Gupta, Eshita, 2008. "Oil vulnerability index of oil-importing countries," Energy Policy, Elsevier, vol. 36(3), pages 1195-1211, March.
    25. Anna Genave, 2019. "Energy vulnerability in the Southwest Indian Ocean islands," Post-Print hal-03544904, HAL.
    26. Mufutau Opeyemi, Bello, 2021. "Path to sustainable energy consumption: The possibility of substituting renewable energy for non-renewable energy," Energy, Elsevier, vol. 228(C).
    27. Luan, Bingjiang & Zou, Hong & Chen, Shuxing & Huang, Junbing, 2021. "The effect of industrial structure adjustment on China’s energy intensity: Evidence from linear and nonlinear analysis," Energy, Elsevier, vol. 218(C).
    28. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(C).
    29. Wu, Xifeng & Xu, Yuechao & Lou, Yuting & Chen, Yu, 2018. "Low carbon transition in a distributed energy system regulated by localized energy markets," Energy Policy, Elsevier, vol. 122(C), pages 474-485.
    30. Lopreite, Milena & Zhu, Zhen, 2020. "The effects of ageing population on health expenditure and economic growth in China: A Bayesian-VAR approach," Social Science & Medicine, Elsevier, vol. 265(C).
    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. Liu, Yang & Dong, Kangyin & Jiang, Qingzhe, 2023. "Assessing energy vulnerability and its impact on carbon emissions: A global case," Energy Economics, Elsevier, vol. 119(C).
    2. Pinar, Mehmet, 2024. "Convergence in renewable energy innovation and factors influencing convergence club formation," Renewable Energy, Elsevier, vol. 220(C).
    3. Dong, Kangyin & Liu, Yang & Wang, Jianda & Dong, Xiucheng, 2024. "Is the digital economy an effective tool for decreasing energy vulnerability? A global case," Ecological Economics, Elsevier, vol. 216(C).
    4. Dong, Kangyin & Jiang, Qingzhe & Liu, Yang & Shen, Zhiyang & Vardanyan, Michael, 2024. "Is energy aid allocated fairly? A global energy vulnerability perspective," World Development, Elsevier, vol. 173(C).
    5. Charfeddine, Lanouar & Umlai, Mohamed, 2023. "ICT sector, digitization and environmental sustainability: A systematic review of the literature from 2000 to 2022," Renewable and Sustainable Energy Reviews, Elsevier, vol. 184(C).
    6. Njangang, Henri & Padhan, Hemachandra & Tiwari, Aviral Kumar, 2024. "From aid to resilience: Assessing the impact of climate finance on energy vulnerability in developing countries," Energy Economics, Elsevier, vol. 134(C).
    7. Zhang, Zhouyi & Song, Yi & Cheng, Jinhua & Zhang, Yijun, 2023. "Effects of heterogeneous ICT on critical metal supply: A differentiated perspective on primary and secondary supply," Resources Policy, Elsevier, vol. 83(C).
    8. Pan, Yuling & Dong, Feng, 2022. "Design of energy use rights trading policy from the perspective of energy vulnerability," Energy Policy, Elsevier, vol. 160(C).
    9. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    10. Genave, Anna & Blancard, Stéphane & Garabedian, Sabine, 2020. "An assessment of energy vulnerability in Small Island Developing States," Ecological Economics, Elsevier, vol. 171(C).
    11. Liu, Li & Sheng, Jichuan, 2024. "Energy quota trading and energy vulnerability: China's energy quota trading pilot," Energy Policy, Elsevier, vol. 184(C).
    12. Ostadzad, Ali Hossein, 2022. "Innovation and carbon emissions: Fixed-effects panel threshold model estimation for renewable energy," Renewable Energy, Elsevier, vol. 198(C), pages 602-617.
    13. Ang, B.W. & Choong, W.L. & Ng, T.S., 2015. "A framework for evaluating Singapore’s energy security," Applied Energy, Elsevier, vol. 148(C), pages 314-325.
    14. Doukas, Haris & Papadopoulou, Alexandra & Savvakis, Nikolaos & Tsoutsos, Theocharis & Psarras, John, 2012. "Assessing energy sustainability of rural communities using Principal Component Analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 1949-1957.
    15. Sun, Xiaolei & Li, Jianping & Tang, Ling & Wu, Dengsheng, 2012. "Identifying the risk-return tradeoff and exploring the dynamic risk exposure of country portfolio of the FSU's oil economies," Economic Modelling, Elsevier, vol. 29(6), pages 2494-2503.
    16. Rao, Congjun & Zhang, Yue & Wen, Jianghui & Xiao, Xinping & Goh, Mark, 2023. "Energy demand forecasting in China: A support vector regression-compositional data second exponential smoothing model," Energy, Elsevier, vol. 263(PC).
    17. Drago, Carlo & Gatto, Andrea, 2022. "Policy, regulation effectiveness, and sustainability in the energy sector: A worldwide interval-based composite indicator," Energy Policy, Elsevier, vol. 167(C).
    18. Selvakkumaran, Sujeetha & Limmeechokchai, Bundit, 2013. "Energy security and co-benefits of energy efficiency improvement in three Asian countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 491-503.
    19. Lan-Cui Liu & Gang Wu, 2015. "Assessment of energy supply vulnerability between China and USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 127-138, February.
    20. Ding, Qian & Huang, Jianbai & Chen, Jinyu & Tao, Dali, 2023. "Internet development and renewable energy technological innovation: Does institutional quality matter?," Renewable Energy, Elsevier, vol. 218(C).

    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:jijerp:v:20:y:2023:i:3:p:2444-:d:1051111. 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.