IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v91y2024ics0301420724001740.html
   My bibliography  Save this article

Energy infrastructure: Investment, sustainability and AI

Author

Listed:
  • Popkova, Elena G.
  • Sergi, Bruno S.

Abstract

This paper provides theoretical and methodological underpinnings for optimal investment decisions in the oil & gas industry. In doing so, this paper investigates how to transition from intuitive investment decisions to processing big data. AI and flexible and interactive databases allow for rationalizing decision-making and avoiding randomly insufficiently high environmental effects of investment projects. The corporate responsibility of the oil & gas industry enterprises will be subject to quantitative measurement, statistical accounting, and broad state and public monitoring. The perspectives of the oil & gas industry must connect to the systemic of projects in sustainable development and digitalization. The paper recommends acquiring collections of companies' interactive profiles to manage this industry on big data processing and AI technologies. The analysis supports the necessity for “green” regulation, the development of “smart” dataset monitoring controlled by AI and enterprises’ corporate responsibility subjected to quantitative measurement, statistical accounting, and broad public tracking.

Suggested Citation

  • Popkova, Elena G. & Sergi, Bruno S., 2024. "Energy infrastructure: Investment, sustainability and AI," Resources Policy, Elsevier, vol. 91(C).
    • Handle: RePEc:eee:jrpoli:v:91:y:2024:i:c:s0301420724001740
    DOI: 10.1016/j.resourpol.2024.104807
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420724001740
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2024.104807?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.

    More about this item

    Keywords

    Big data set; Oil & gas industry; Investment; Development; Sustainability; AI;
    All these keywords.

    JEL classification:

    • D92 - Microeconomics - - Micro-Based Behavioral Economics - - - Intertemporal Firm Choice, Investment, Capacity, and Financing
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors
    • H54 - Public Economics - - National Government Expenditures and Related Policies - - - Infrastructures
    • Q01 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Sustainable Development
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

    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:91:y:2024:i:c:s0301420724001740. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.