Efficiency factors in the financing of renewable energy projects through crowdlending

Luis René Vásquez-Ordóñez, Carlos Lassala, Klaus Ulrich and Samuel Ribeiro-Navarrete

Journal of Business Research, 2023, vol. 155, issue PB

Abstract: Even in the current critical situation, with governments and economies needing to reduce the levels of greenhouse gases, financing renewable energy investments remains challenging. Economic growth and technological development have driven the creation and growth of digital platforms and innovative solutions such as crowdlending. Crowdlending has a lot of potential because it embraces funders' motivations beyond mere economic ones. This work provides evidence on variables that influence the performance of crowdlending campaigns for renewable energy projects. We classified these variables into four groups: platform communication, firms' orientation towards sustainability, loan characteristics and social networking. Our results highlight the importance of effective communication between crowdlending participants. We recommend that promoters emphasise the project's sustainability orientation and remember the importance of using social networks.

Keywords: Crowdlending; Performance; Sustainability; Renewable energy; fsQCA (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0148296322008542
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:jbrese:v:155:y:2023:i:pb:s0148296322008542

DOI: 10.1016/j.jbusres.2022.113389

Access Statistics for this article

Journal of Business Research is currently edited by A. G. Woodside

More articles in Journal of Business Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().