Fintech innovation for smallholder agriculture PDF Download

Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Fintech innovation for smallholder agriculture PDF full book. Access full book title Fintech innovation for smallholder agriculture by Benni, N.. Download full books in PDF and EPUB format.

Fintech innovation for smallholder agriculture

Fintech innovation for smallholder agriculture PDF Author: Benni, N.
Publisher: Food & Agriculture Org.
ISBN: 9251384746
Category : Technology & Engineering
Languages : en
Pages : 80

Book Description
The study is a result of the growing interest on the part of FAO on the analysis and use of financial technology (fintech) applications as effective enablers of financial inclusion for smallholder farmers, as well as that of other financially underserved actors active in the agricultural value chains of developing and emerging countries. Many of these countries have witnessed, in recent years, an exponential rise in the number and variety of fintech start-ups focused on the agriculture sector, which have emerged with the specific intent of seizing the enormous clientele segment composed of small-scale rural actors whose financial needs are not adequately serviced by traditional financial institutions, such as commercial banks, microfinance institutions, and financial cooperatives The objective of this publication is to analyse and illustrate some of the most interesting business models and innovations brought forward by fintech companies that have sought to address the common financing constraints associated to small-scale agriculture all around the world, showcasing in particular the challenges they have faced to become profitable and sustainable, the solutions they have found to overcome such challenges, the positive developmental externalities that they have generated through their activity, and the possible lessons that can be drawn from their experience which can inform further replications or adaptations of their specific model in other contexts.