The role of green bonds on industrial sustainability for achieving carbon neutrality: Evidence from the artificial neural network method

Chi Keung Lau, Hemachandra Padhan, Amit Kumar Das, Aviral Tiwari, Giray Gözgör and Preksha Jain

Research in International Business and Finance, 2025, vol. 73, issue PB

Abstract: This paper examines the role of green bonds on industrial sustainability in 15 Organisation for Economic Co-operation and Development (OECD) economies from 2010 to 2020. In this context, we utilise the Augmented Mean Group (AMG), the Artificial Neural Network (ANN), and the Kernel-based Regularised Least Squares (KRLS) methods. It is found that the ANN predicts the influence of green bonds on industrial sustainability more accurately than other methods. It is also observed that green bonds accelerate industrial sustainability in the OECD economies. The upper percentile group is primarily concerned with industrial sustainability rather than the lower- and middle percentile groups. Therefore, the OECD economies should emphasise the green bonds component in the green finance baskets to achieve carbon neutrality.

Keywords: Carbon neutrality; Industrial sustainability; Green bonds; Artificial neural network; OECD economies (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0275531924004525
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:73:y:2025:i:pb:s0275531924004525

DOI: 10.1016/j.ribaf.2024.102659

Access Statistics for this article

Research in International Business and Finance is currently edited by T. Lagoarde Segot

More articles in Research in International Business and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().