 Energy infrastructure: Investment, sustainability and AIElena G. Popkova and Bruno S. Sergi Resources Policy, 2024, vol. 91, issue C 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. Keywords: Big data set; Oil & gas industry; Investment; Development; Sustainability; AI (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jrpoli:v:91:y:2024:i:c:s0301420724001740 DOI: 10.1016/j.resourpol.2024.104807 Access Statistics for this article Resources Policy is currently edited by R. G. Eggert More articles in Resources Policy from Elsevier |
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