This study explores whether financial literacy can enhance the ability to predict credit default by farmers using machine-learning models. It introduces a hybrid model combining k-means clustering and Adaboost to predict loan default using data on 10,396 farmers who obtained credit from Chinese...

In recent years, the application of credit scoring in urban microfinance institutions became popular, while rural microfinance institutions, which mainly lend to agricultural clients, are hesitating to adopt credit scoring. The present study aims to explore whether microfinance credit scoring...

The Indian state of Punjab, which initially benefited greatly from the Green Revolution, has suffered from a dramatic rise in agrarian suicides for several decades. We use a carefully constructed sample of over one thousand farmers in the epicenter, and build a three-stage model of agricultural...