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Policy analysisLao People's Democratic Republic: Registries, risk reduction and resilience
Improving vulnerability and risk analysis to enhance social registries for shock-responsive social protection
2025Also available in:
No results found.The Food and Agriculture Organization of the United Nations (FAO) has been conducting vulnerability and risk analysis for agricultural populations since the early 2000s. The Sendai Framework has further advanced this work by providing a structured approach to assessing exposure, vulnerabilities, and adaptive capacity using diverse data sources and tools. In the Asia-Pacific region, FAO continues to develop and apply practical tools for large-scale, population-based analyses to inform disaster risk management, climate change adaptation, and social protection policies. In the Lao People’s Democratic Republic, high disaster risk and a predominantly agricultural workforce contribute to multidimensional vulnerabilities. Agriculture employs 70 percent of the population, with over half of households relying on subsistence farming. Between 1970 and 2010, the country experienced 33 natural hazards, affecting 9 million people and causing over USD 400 million in economic losses. In 2019 alone, 13 percent of households faced multiple hazards, such as droughts, floods, and landslides. Robust vulnerability and risk analysis systems are essential for designing and targeting climate-sensitive social protection programmes that address poverty, risk reduction, and resilience-building in the agriculture sector. This publication reviews datasets from the Lao People's Democratic Republic to assess their capacity to generate relevant indicators for vulnerability and risk analysis. The review aims to enhance risk assessment methodologies to improve the design and implementation of social protection, anticipatory action, and shock-responsive interventions for agricultural communities. -
High-profileHand-In-Hand Initiative Lao People’s Democratic Republic concept note
Unlocking the potential of agriculture to eradicate poverty and malnutrition, revised version
2022Also available in:
No results found.The Hand-in-Hand Initiative (HHI) was launched by the Director-General of the Food and Agriculture Organization of the United Nations (FAO), QU Dongyu, to help tackle the slow and negative trends in achieving the SDG targets, in particular the persistence of extreme poverty, hunger and malnutrition. The evidence-based, country-led and country-owned Initiative seeks to accelerate the agricultural transformation and sustainable rural development and brings an innovative approach to partnering through match-making. Countries and their partners are empowered through sophisticated data sharing and model-based analytics to improve the targeting of policies, innovation and investment. HIHI is an inclusive process that aims to build partnerships, alliances and synergies among public and private actors, as well as the international development partners for the goals of eradicating poverty and hunger and reducing inequalities. It will channel the required resources – technical, financial, institutional and human capital – to where they are needed the most and where the potential for reaching the SDG 1, SDG 2 and SDG 10 targets is greatest. On the occasion of the FAO Director-General’s visit to Lao PDR in March 2020, the HIHI was discussed as an opportunity to address key impediments to achieving the SDG1, SDG2 and SDG10. The Government of Lao PDR (GoL) suggested the HIHI be implemented in the emerging economic corridor along the Lao-China railway line. This key national infrastructure connects the country with the world’s largest market, China and other countries in ASEAN – the Association of Southeast Asian Nations. HIHI enhances the capacity of previously isolated communities to effectively and sustainably take advantage of the emerging opportunities afforded by the railway. This concept note highlights a general approach and process to address key impediments to achieving SDG 1, 2 and 10 targets in Lao PDR. It intends to generate support, partnership and engagement from a wide range of new and traditional partners such as the private sector, international agencies, resource partners and the target communities themselves. The proposed approach and framework are not a blueprint but rather a flexible mechanism that will adapt to emerging opportunities and partnerships, building synergies with relevant ongoing and planned initiatives.` -
Technical studyApplication of artificial intelligence in anticipatory action: Drought and flood case study in the Lao People’s Democratic Republic
Technical study
2024Also available in:
No results found.This technical study examines the triggering method for anticipatory action, which involves identifying key indicators or thresholds that, when reached or exceeded, prompt pre-planned interventions to mitigate the impact of an anticipated disaster. These triggers are designed to initiate timely actions before a disaster occurs. Specifically, this paper draws upon the case study on developing these triggering systems for managing agricultural drought and flood risks in the Lao People’s Democratic Republic. By transitioning from a reactive disaster response model to a proactive approach, it leverages artificial intelligence to improve the efficiency and effectiveness of anticipatory triggering methodologies, thus enhancing both the speed and dignity of disaster response efforts. The methodologies and systems developed through this analysis have significant potential for application beyond the Lao People's Democratic Republic. Their open-source and adaptable design offer valuable frameworks for other drought- and flood-prone regions in Asia and the Pacific.
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