Agricultural finance is crucial to support the growth of the agricultural sector. Indeed, it is essential for food security, job creation, and overall economic growth. This synthesis report presents a summary of research studies on five key areas of agricultural finance innovation prepared under the G20 Global Partnership for Financial Inclusion (GPFI), as well as the presentations and discussions of these study findings during the “G20 Roundtable on Innovations in Agricultural Finance” convened on September 9, 2015 in Antalya, Turkey by the Small and Medium Enterprise (SME) Finance Sub-Group

Full publication available here Considering that the microinsurance market in Jamaica is a nascent one, in order to promote its development it is essential to: (i) confront the identified supervisory and regulatory obstacles in order to incentivise providers to offer microinsurance products responsibly; (ii) encourage providers to realise the potential of the microinsurance market to innovate and offer products with value; (iii) promote demand, (iv) but at the same time foster trust by protecting microinsurance consumers and making sure that they will be empowered to use the microinsurance

Agricultural production is inherently subject to a variety of risks because management decisions or states-of-nature often generate future outcomes (either favorable or unfavorable) that cannot be predicted with certainty. The variability of these outcomes represents risk. Risk is frequently measured in terms of the probability of various outcomes. Agricultural producers face a variety of risks including production (yield), output price, and input price risk. Some of these risks are managed through production and fi nancial decision-making, while others are simply accepted as costs of doing

Data and information management refers to the development, collection, use, and preservation of data and the methods needed to acquire, control, protect, deliver, and enhance its value to achieve the goals of agricultural insurance programs. Issues related to the collection, development, updating, and quality of data are often overlooked when developing agricultural insurance programs. However, such programs will likely fail without a concise, well-developed plan for data and information management. Data is needed by those who develop, operate, and manage agricultural insurance programs. In

This manual presents theoretical concepts and applied methods commonly used for actuarial processes in agriculture insurance. Actuarial processes refer to the activities that establish insurance premium rates and related quantitative analyses. Key considerations for designing agriculture insurance programs are presented. In addition, the infl uence of program design on data requirements and the use of statistical methods for establishing insurance premiums are illustrated.The presentation presumes that readers have a solid understanding of basic statistics principles. The level of knowledge

This manual introduces and discusses agricultural insurance and provides tools for the development, management, operation, and maintenance of such programs. Agricultural insurance includes a variety of product types, including property, causality, life, and health insurance. Throughout the manual, the term “agricultural insurance” refers to crop (and in some cases livestock insurance programs.Successful agricultural insurance programs must be thoughtfully constructed before their introduction and tailored to the unique circumstances of individual countries and regions; poorly designed