Poor households in rural areas are particularly vulnerable to risks that reduce incomes and increase expenditures. Most past research has focused on risk-coping strategies for the rural poor, specially on micro-level and household actions. These are risks that can been shared within a community or extended family. These strategies are effective for independent risks, but ineffective for covariate or systemic risks. The authors focus on private and public mechanisms for managing covariate risk for natural disasters. When many households within the same community face risks that create losses for all, traditional coping mechanisms are likely to fail. Such covariate risks are not uncommon in many developing countries, especially where farming remains a major source of income. The authors focus on risks related to weather events (such as excess rain, droughts, freezes, and high winds) that have a severe impact on rural incomes. Weather insurance could cover the covariate risk for a community of poor households through formal and informal risk-sharing arrangements among households that are purchasing these weather contracts. Given recent Mexican innovations targeted at helping the poor cope with catastrophe weather events, the authors use Mexico as a case study. In Mexico, poor households are exposed to systemic risks, such as droughts and floods, that affect the economic livelihood of their region. Catastrophic insurance is useful for small farmers, although commercially oriented small farmers may wish to obtain coverage for less catastrophic events. Weather insurance could meet this need. It pays out according to the frequency and intensity of specific weather events. Because weather insurance depends on the occurrences and objective measure of intensity of a specific event, it does not require individual farm inspection that can be very costly for small farm. The authors argue that a key issue of delivering insurance to small farmers is the existence of producer organizations. In Mexico, the farmer mutual insurance funds provide a good example. These funds provide insurance to their members by pulling together resources to pay for future indemnities and reinsures itself from major systemic risks that could hurt simultaneously all their members.

Poor households in rural ...

This publication serves as a roadmap for exploring and managing climate risk in the U.S. financial system. It is the first major climate publication by a U.S. financial regulator. The central message is that U.S. financial regulators must recognize that climate change poses serious emerging risks to the U.S. financial system, and they should move urgently and decisively to measure, understand, and address these risks. Achieving this goal calls for strengthening regulators’ capabilities, expertise, and data and tools to better monitor, analyze, and quantify climate risks. It calls for working closely with the private sector to ensure that financial institutions and market participants do the same. And it calls for policy and regulatory choices that are flexible, open-ended, and adaptable to new information about climate change and its risks, based on close and iterative dialogue with the private sector. At the same time, the financial community should not simply be reactive—it should provide solutions. Regulators should recognize that the financial system can itself be a catalyst for investments that accelerate economic resilience and the transition to a net-zero emissions economy. Financial innovations, in the form of new financial products, services, and technologies, can help the U.S. economy better manage climate risk and help channel more capital into technologies essential for the transition. https://doi.org/10.5281/zenodo.5247742

This pocket-sized reference on key environmental data for over 200 countries includes key indicators on agriculture, forestry, biodiversity, energy, emission and pollution, and water and sanitation. The volume helps establish a sound base of information to help set priorities and measure progress toward environmental sustainability goals.