A machine learning and quantile analysis of FINTECH and resource efficiency in achieving sustainable development in OECD countries

  1. Zhang, H.
  2. Fahlevi, M.
  3. Aljuaid, M.
  4. Beşer, N.Ö.
  5. Cabas, M.
  6. lominchar, J.
Revue:
Resources Policy

ISSN: 0301-4207

Année de publication: 2024

Volumen: 92

Type: Article

DOI: 10.1016/J.RESOURPOL.2024.105017 GOOGLE SCHOLAR
La source de données: Scopus