Interlinked credit and farm intensification: evidence from Kenya

Interlinked Credit and Farm Intensification: Evidence from Kenya

Borrowing Requirements, Credit Access, and Adverse Selection: Evidence from Kenya

We examine whether stringent formal sector borrowing requirements in developing countries restrict credit access and the potential of asset-collateralized loans. When a Kenyan dairy cooperative exogenously replaced high down payments with loans collateralized by the asset itself a large water tank loan take-up increased from 2.4% to 41.9%. In contrast, substituting joint liability requirements ...

Towards an Interlinked Semantic Wiki Farm

This paper details the main concepts and the architecture of UfoWiki, a semantic wiki farm – i.e. a server of wikis – that uses form-based templates to produce ontology-based knowledge. Moreover, the system allows different wikis to share and interlink ontology instance between each other, so that knowledge can be produced by different and distinct communities in a distributed but collaborative...

The Impact of Interlinked Index Insurance and Credit Contracts on Financial Market Deepening and Small Farm Productivity

This paper explores the relationship between credit and index insurance market development using a theoretical model in which small farm households have the option to either (i) adopt a capital-intensive technology that is risky but high-yielding, or (ii) self-insure by adopting a traditional low-input and low-yielding technology. We show that neither market is likely to develop in isolation fr...

Does Off-Farm Labor Relax Farmers’ Credit Constraints? Evidence from Longitudinal Data for Vietnam

Does Off-Farm Labor Relax Farmers’ Credit Constraints? Evidence from Longitudinal Data for Vietnam We examine the relationship between participation in non-agricultural labor activities and farming production decisions, focusing on the use of inputs. In particular, we are interested in the hypothesis that income from non-agricultural labor relaxes credit constraints. Using longitudinal data for...