Credit decision tool using mobile application data for microfinance in agriculture

Naomi Simumba, Suguru Okami, Naohiko Kohtake

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Smallholder agriculture is vital for food security and poverty reduction. Poor, unbanked smallholder farmers face challenges in obtaining loans for agriculture due to missing financial credit history. Although credit decisions tools with alternatives such as big data from mobile phones currently exist, these are mainly targeted towards consumer credit solutions. There is need for research focused on applying such data to credit decisions in agriculture, considering the unique challenges of the field. This research proposes a credit decision tool using alternative data from a mobile phone application used for reporting agricultural activities. 213 users submitted 41613 reports of farm activity by 11336 farmers over a 5-year period. Users were classified groups based on personal information, association with farmers, and reports. Three methods are applied for analysis: multiple logistic regression, a support vector machine with a linear kernel, and a support vector machine with a radial basis function kernel. Three sets of features, selected with different methods, are used. The results are evaluated by accuracy, and Area Under the Receiver operating curve (AUC). The support vector machine with a radial basis function kernel shows the best performance on the original data set with an Area Under the Receiver operating curve (AUC) value of 0.983. Feasibility of applying each method in agricultural microfinance is considered. Finally, further development of the models using Geographic Information System analysis of geospatial data which affects agricultural productivity, such as soil type and water resources, is suggested to incorporate the ability of the borrower to repay loans from farm activity.

本文言語English
ホスト出版物のタイトルProceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
編集者Jian-Yun Nie, Zoran Obradovic, Toyotaro Suzumura, Rumi Ghosh, Raghunath Nambiar, Chonggang Wang, Hui Zang, Ricardo Baeza-Yates, Ricardo Baeza-Yates, Xiaohua Hu, Jeremy Kepner, Alfredo Cuzzocrea, Jian Tang, Masashi Toyoda
出版社Institute of Electrical and Electronics Engineers Inc.
ページ4714-4721
ページ数8
ISBN(電子版)9781538627143
DOI
出版ステータスPublished - 2017 7 1
イベント5th IEEE International Conference on Big Data, Big Data 2017 - Boston, United States
継続期間: 2017 12 112017 12 14

出版物シリーズ

名前Proceedings - 2017 IEEE International Conference on Big Data, Big Data 2017
2018-January

Other

Other5th IEEE International Conference on Big Data, Big Data 2017
国/地域United States
CityBoston
Period17/12/1117/12/14

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 情報システム
  • 情報システムおよび情報管理
  • 制御と最適化

フィンガープリント

「Credit decision tool using mobile application data for microfinance in agriculture」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル