ai4data/datause-dataset-rechunked huggingface dataset:
National Adaptation Plan (NAP) (2019)**, aiming to reduce vulnerability to climate change and to facilitate integration of adaptation into all levels of development planning including (i) access to water for all; ii) the promotion of best practices in the agricultural, forestry, fishery, and tourism sectors and reduced vulnerability to the effects of climate change and increase the resilience of the most exposed socioeconomic or geographical sectors; iii) the protection of ecosystems and ecosystem services; and iv) the resilience of key strategic infrastructure. The project will contribute to the objectives of the NAP with climate adaptation activities outlined in component 2 and financial inclusion under component 1. 20. **The Project is also fully aligned with the goals of the Paris Agreement** . The project is aligned with Djibouti’s commitment to combatting climate change as outlined in the 2023 revised Nationally Determined Contribution (NDC). The government prepared a draft version of a revised NDC outlining both mitigation and adaptation measures aligned 17 World Bank (2024), Climate Change Development Report 18 World Bank (2023), [World Development Report 2023: Migrants, Refugees and Societies](https://www.worldbank.org/en/events/2023/06/29/wdr2023) Page 6
Economics of Disasters and Climate Change Barrett A, McIntosh R, Pritchard M, Hannan M, Alam Z, Marks M (2013) Asset Values: Why Are Some Households Doing Better than Others? Chars Livelihood Program Ceola S, Laio F, Montanari A (2014) Satellite nighttime lights reveal increasing human exposure to floods [worldwide. Geophys Res Lett 41(20):7184–7190. https://doi.org/10.1002/2014GL061859](https://doi.org/10.1002/2014GL061859) Chinh DT, Dung NV, Gain AK, Kreibich H (2017) Flood loss models and risk analysis for private households in can Tho City. Vietnam Water 9:313 De Lay S (2011) Slums in Ho Chi Minh City, Vietnam. Global Cities 2011. [http://hochiminhcity2011.jimdo.](http://hochiminhcity2011.jimdo.com/slums/) [com/slums/](http://hochiminhcity2011.jimdo.com/slums/) Del Valle, Alejandro et al. (2018) The Short-Term Economic Impact of Tropical Cyclones: Satellite Evidence from Guangdong Province. Econ Dis Climate Chang 1–11 DHI (2003) MIKE 11 - A Modelling System for Rivers and Channels. Short Introduction Tutorial. Water and Environment Fay M (2005) The Urban Poor in Latin America. Directions in Development - General. The World Bank. [http://elibrary.worldbank.org/doi/book/10.1596/0-8213-6069-8](http://elibrary.worldbank.org/doi/book/10.1596/0-8213-6069-8) FIM (2013) Final Report, Volume 2, Integrated Flood Management Strategy. Ho Chi Minh City Flood and Inundation Management Geographic Information Science and Technology (2015) Landscan Population Data. Oak Ridge National Laboratory [GFDRR (2015) Country Profile - Vietnam. https://www.gfdrr.org/sites/gfdrr/files/region
Chi Minh City Flood and Inundation Management Geographic Information Science and Technology (2015) Landscan Population Data. Oak Ridge National Laboratory [GFDRR (2015) Country Profile - Vietnam. https://www.gfdrr.org/sites/gfdrr/files/region/VN.pdf](https://www.gfdrr.org/sites/gfdrr/files/region/VN.pdf) Goeschl T, Managi S (2017) Public in-kind relief
protection to respond to ecosystem** **degradation in the RHDs and additional impacts caused by climate change and refugee presence.** The expansion of farming by refugees and host communities is driving rapid deforestation in the RHDs, reducing the extent of natural forests and woodlands. Refugees and hosts also harvest wood for cooking, shelter, and fencing in excess of sustainable yields, causing additional degradation of tree cover and affecting fragile sites such as wetlands, hillsides, and riverine areas. In addition to the environmental impacts, this can be a source of tension between refugees and host community members. Climate change is exacerbating these challenges, as previously explained, with lower rainfall, longer and more frequent droughts, and more frequent extreme weather events. These factors are causing more crop failure, water scarcity and floods, droughts and landslides. The component will support 730,000 people (50 percent female/20 percent refugees) with enhanced resilience of terrestrial and aquatic systems, covering at least 11,200 hectares of land. 21 The AI Model was produced under the Enhancing Self-Reliance and Preparedness for Forced Displacement in the Great Lakes Region Advisory Services and Analytics (P500793). Data and analysis from the model, if rendered live, could also be used to support monitoring, evaluation,
areas, our flood maps may over-estimate the flood hazard. When including climate change, this percentage increases by 13–27%, depending on the severity of sea level rise. This increase in exposure is due to the concentration of the population in coastal areas. For the 50-year flood, more than a third (38%) of today’s population is already exposed. Given climate change, this number is expected to increase by 7–21% (resulting in overall exposure of between 40 and 48%) for the same return period (50-year). For a 100- and 200-year flood under a high climate scenario, more than half of the population is exposed. Climate change impacts can be seen in these exposure numbers - for instance, a 50-year flood with medium climate change impacts has the same exposure of a 200-year historical flood (at 44%), while almost half the country’s population (48%) is exposed to a 50-year flood with high climate impacts. Full results are presented in Table 3. But these national results on exposure are not evenly be distributed across the country. The spatial analysis also allows us to examine which districts have the highest absolute and the highest relative exposure. We present results for the 25-year flood, for a historical
more difficult. According to UNHCR’s protection monitoring, over 54% of families have at least one child without a birth certificate, and 71% have family members without national identity cards. Displaced populations are often unable to access or have lost civil documentation and face challenges getting replacements for reasons connected to their displacement. Often legal assistance is needed to resolve the issue and access to justice is inhibited by the lack of identity documents. Without additional funding, 12,780 IDPs and IDP returnees won’t be able to access identity documents or legal assistance. UNHCR’s protection monitoring found that 91% of IDP households have at least one member with a vulnerability. Without additional funding, 3,170 extremely vulnerable people will go without urgent tailored support to those processing trauma and living with mental health issues, survivors of gender-based violence, elderly individuals often living alone, and people with disabilities. [For more information, please contact the UNHCR MENA Regional Ofce in Amman (Jordan) at: MENAreporting@unhcr.org](https://www.unhcr.org/) [www.unhcr.org](https://www.unhcr.org/) ~~6~~
_Note:_ This figure shows the mine locations and the district in which the mines are located. The baseline specification is shown in the following equation: Y��� - β�active_district�� - ∝�� g� �λX�� �ε��� �3� The outcome for individual _i_ in district _d_ in time period _t_ is regressed on district and year fixed effects, an indicator for whether the individual lived in an active mine district at the time of the interview, and time varying individual-level factors. Even though the treatment is defined at the district level, we use individual-level data to be able to control for individual- level factors and explore heterogeneity at the individual level. The standard errors are, however, clustered at the district level to take into account the interdependence induced by the higher-level treatment. Since the treatment variable is at the same level as our district fixed effects, the _β1_ coefficients are directly interpretable as difference-in-differences estimates. That is, they capture the difference between mining districts and nonmining districts before and after mining starts. In estimating the district-level effects of mine openings on birth outcomes, we control for birth year fixed effects instead of survey-year fixed effects, as we are interested in the effect of mining
works with states to address the challenges of irregular and mixed movements at Europe’s borders through a comprehensive [route-based approach. This strategy focuses on](https://www.refworld.org/policy/strategy/unhcr/2024/en/148087) coordinated actions to protect refugees and migrants, uphold their rights and reduce dangerous journeys. It emphasizes cooperation among states, UN agencies and civil society to manage irregular movements and ensure responses align with international obligations. 2 Mediterranean Situation [Operational Data Portal](https://data.unhcr.org/en/situations/mediterranean) 3 8,500 arrivals to Italy; 6,900 to Greece; 6,500 arrivals to Spain (4,095 of whom arrived in the Canary Islands); and 216 to Cyprus. 4 As of 30 September 2024. Page 4 **U N H C R R E G I O N A L B U R E A U F O R E U R O P E,** O C T O B E R 2 0 2 4
vulnerable communities, including refugees and host communities. By linking safety nets with livelihood opportunities and broader socio-economic development, the project aims to foster resilience, inclusion, and sustainable economic growth in target areas. These include underserved regions such as Dikhil and refugee-hosting locations facing pressures from population inflows, strained public services, and climaterelated vulnerabilities. Additionally, the social protection support will be expanded across all regions to ensure broader coverage. **B. Theory of Change and PDO Indicators** 19 World Bank, 2025, Djibouti Climate Change Development Report (CCDR) 20 Project’s activities are exposed to identified climate risks (extreme heat, droughts, floods), but each activity financed under this operation will integrate climate-resilient design to reduce material risks to an acceptable level. Page 7
gain from having full ownership as compared to only occupancy rights on customary land is expected to amount to 3.5% for coffee, 16.3% for fruits, and 20.0% for banana with correspondingly larger gains of 9.3%, 31.9%, and 39.1%, respectively, on freehold or _mailo_ land. To interpret these figures, note that they are very conservative estimates as they completely neglect the value of soil fertility investment which can be very large according to recent studies valuing annual nutrient loss due to lack of soil conservation at 20% of average household income (Pender _et al._ 2004). Given that in addition we also exclude any credit-related investment incentives due to clear land ownership, the coefficients estimated here points towards substantial economic effects of overlapping property rights. **4.3 Options to increase tenure security** Our results thus far imply that, despite legal provisions aiming to strengthen property rights to land that is only occupied but not owned, significant and quantitatively large investment disincentives persist and cause productivity losses of considerable magnitude. This makes it important to explore other ways of bringing investment levels on such land closer to the social optimum. To explore this, our survey asked households who occupied land under usufruct about their
members’ labor supply to farm or off-farm activities, migration, income from different sources, and an account of agricultural output and inputs. We also have data on key village characteristics including total working age population, agricultural land, and distance to public health and education facilities to control for village level time-varying effects. With 9-13 villages per county and a sample size of 10 households per village, the pre-reform sample comprises a total of 310 and 470 households inside and outside Chengdu, respectively. [11] The post-reform sample similarly includes 280 and 390 households inside and outside the prefecture boundary. After dropping some 5% of sample households who neither engaged in productive activities nor participated in labor markets due to old age or disability, we end up with a sample of 285 pre- and 259 post-reform 9 The NBS sample is drawn from a fixed set of counties. We compare outcomes of NBS households in counties from both sides of the Chengdu prefecture border with three counties in Chengdu and four counties in Meishan and Ziyang. 10 We use the years of 2005 and 2006 for the pre-reform and of 2011 and 2012 for the post-reform period. To avoid contamination as land reform
resilience: learning from the ecological wisdom of living with floods in the Vietnamese Mekong Delta. Landsc Urban Plan 155:69–78 McElwee P et al (2017) Flood vulnerability among rural households in the red River Delta of Vietnam: implications for future climate change risk and adaptation. Nat Hazards 86(1):465–492 Ministry of Natural Resources and Environment (2009) Climate Change, Sea Level Rise Scenarios for Vietnam Patankar A (2015) The Exposure, Vulnerability and Adaptive Capacity of Households to Floods in Mumbai. World Bank Policy Research Working Paper No. 7481 PUMA (2013) Interim Report Version 1.0.^ Platform for Urban Management and Analysis (PUMA) Software Development and Satellite Imagery Processing Consultants Rozenberg J, Hallegatte S (2016). Modeling the impacts of climate change on future Vietnamese households: a micro-simulation approach Scussolini, P., Aerts, J. C., Jongman, B., Bouwer, L. M., Winsemius, H. C., de Moel, H., & Ward, P. J. (2016). FLOPROS: an evolving global database of flood protection standards. Nat Hazards Earth Syst Sci, 16(5), 1049–1061 Smith A, Freer J, Bates P, Sampson C (2014) Comparing ensemble projections of flooding against flood estimation by continuous simulation. J Hydrol 511:205–219 Thoai TQ et al (2018) Determinants of farmers’ adaptation to climate change in agricultural production in the
provided protection, access to services, and inclusion into national systems. However, host governments and communities need support to guarantee access to rights and services, provide dedicated support for the most vulnerable, foster greater inclusion and ensure social cohesion. UNHCR leads the **[Regional Refugee Response Plan](https://data.unhcr.org/en/documents/details/105903)** (RRP) for the Ukraine Situation in these efforts along with more than 300 partners. In 2024, UNHCR aims to assist over **850,000 refugees with protection support** including information and counselling, targeted cash for protection and socio-economic activities, including livelihoods support. For more on UNHCR's 2024 plans and financial requirements for the Ukraine Situation, see **[here.](https://data.unhcr.org/en/documents/details/106081)** **UNHCR’S 2024 FINANCIAL REQUIREMENTS** **FOR UKRAINE SITUATION COUNTRIES** US$ million # 993.3 **TOTAL FUNDED (as of 30 Sept 2024)** % # 52 **COUNTRY** **TOTAL** **BUDGET** **(USD)** **TOTAL FUNDED** **(%)** Bulgaria **$17.0M** 71% Czech Republic **$11.9M** 44% Estonia **$4.2M** 50% Hungary **$14.2M** 60% Latvia **$4.2M** 50% Lithuania **$4.2M** 50% Poland **$85.0M** 38% Rep. of Moldova **$102.8M** 60% Romania **$54.3M** 45% Slovakia **$20.3M** 53% Ukraine **$598.9M** 52% [1 IOM DTM - Ukraine](https
$102.8M** 60% Romania **$54.3M** 45% Slovakia **$20.3M** 53% Ukraine **$598.9M** 52% [1 IOM DTM - Ukraine](https://dtm.iom.int/ukraine) Page 3 **U N H C R R E G I O N A L B U R E A U F O R E U R O P E,**
Some instances, such as when prescribed medications conflicted with known conditions, illustrated a disconnect between patient backgrounds and treatment approaches in the Czech healthcare system. This forced some refugees to rely on bringing medications from Ukraine, exacerbated by difficulties obtaining longterm prescriptions. Language barriers also hinder effective communication of health needs. Many focus group discussion respondents highlighted the need to rely on assistance during medical appointments. It was also observed that participants face uncertainty about obtaining disability certificates, with most participants unaware of the process. Notably, healthcare emerged as the fourth most important information need during protection monitoring. _2 UNHCR Focus Group Discussion with 10 Ukrainian refugee women 25-59 years of age in January 2024 in Prague._ _3 UNHCR Focus Group Discussions with 28 Ukrainian elderly refugees aged 60-79 (26 women, 2 men) in Prague and Plzen in March -_ _April 2024._ UNHCR / March 2024 4
of buyers 6,425 10,074 3,375 19,874 Total number of buyers (for whom insurance is available in following year) 5,579 5,418 NA 10,997 Total number of buyers (in villages where there was at least one buyer the following year) 2,462 1,739 NA 4,201 Number of buyers who repurchase in following year 453 364 NA 817 Buyers receiving payouts 351 1,346 529 2,226 Average Average sum insured (Rs) 3,055 1,612 3,547 2,738 Average payout (Rs) 11 60 88 53 Average payout (Rs, if payout _>_ 0) 195 360 553 370 _Notes_ : This table lists summary statistics for the individual sample. The sample only includes people who purchased rainfall insurance from BASIX in a given year. _Source_ : Authors’ analysis based on data from BASIX. For rainfall data, I use a historical daily grid of rainfall, which is interpolated based on readings from thousands of rainfall stations throughout India. The data are provided by the Asian Precipitation Highly 3 The states are, in descending order of number of buyers, Andhra Pradesh, Maharashtra, Jharkand, Karnataka, Madhya Pradesh, and Orissa. 4 Note that BASIX also sold many policies in the district of Deogarh in Jarkhand, and those buyers are omitted from this analysis. The
the OECD, a highly skilled workforce, and a transformative digitalization and management agenda. **Foundational Learning** 5. **National assessments show weakness in foundational learning, and learning outcomes are strongly correlated** **to socioeconomic conditions, which points to the need for foundational learning with deeper attention to the education** **outcomes of students from poorer families.** Costa Rica reactivated standardized national assessments in 2023; the first results from 2023 were released in March 2024 and indicated that about a third of the students at the end of Primary schooling are at the “basic” level of learning. Internationally comparable Programme for International Student Assessment (PISA) data for Costa Rica for 2018 shows that while 28 percent of children from families in the top quintile of the PISA index for economic, social and cultural status were below Level 2 on Reading in PISA (considered the minimum of adequate performance), 72 percent of children from families from the lowest quintile of the PISA index were below level 2. Foundational learning (literacy and numeracy) in early grades paves the way for future learning, and differences in educational attainment become magnified through youth and adult life in the acquisition of human capital. Without any claims regarding causation, it is
**The World Bank** Uganda Development Response to Displacement Impacts Project Phase II (P510476) **I.** **STRATEGIC CONTEXT** PROJECT APPRAISAL DOCUMENT **A.** **Project Strategic Context** 1. **The Government of Uganda’s (GoU’s) progressive refugee response model has generated a development** **dividend for hosting districts, but they still face major development challenges and refugees are well short of achieving** **self-reliance.** Increasing refugee inflows continue to place a strain on host communities at a time of declining humanitarian aid. Since Phase I of the Development Response to Displacement Impacts Project (DRDIP) in the Horn of Africa was approved in May 2016, the refugee population in Uganda has increased markedly from 220,000 to over 1.8 million. [1] More inflows are expected given the ongoing instability in the region. Most refugees are hosted in rural communities that are struggling with poverty and unemployment, human capital and service delivery deficits, limited basic infrastructure, and a degraded natural resource base. Despite the opportunities and rights afforded them, refugees in Uganda lack employment opportunities and suffer from poverty rates almost three times higher than Ugandan nationals. Given the huge population, self-reliance of refugees and host communities is an important development priority for Uganda. As a regional and global example of
MEP reforms are geared towards sustainability** . [22] An important consideration of the reform program is that the planned interventions do not require a level of investment that would put inordinate fiscal pressure regarding the MEP budget. Expenditures such as the investments planned for the digitalization agenda of the MEP are expected to be absorbed into the MEP budget at the end of the proposed Project. Efficiency enhancement under the reform would enable enhancement of the quality of service delivery as well as aid sustainability overall - an example is the reform of the functioning of local school councils, supported better by MEP through modernized information systems. These reforms would result in better maintenance of the physical plant and enhance sustainability of investments. **C. Relevance to Higher Level Objectives** 17. **This Project is aligned with High-Level Outcome 2 (Strengthened and Preserved Human Capital) of the World** **Bank Group’s Country Partnership Framework (CPF) for Costa Rica (FY24-FY28), discussed by the Board on April 30,** 22 [https://www.imf.org/en/News/Articles/2024/04/12/pr-24112-costa-rica-6th-review-of-eff-arrangement-and-3rd-review-of-rsf-arrangement](https://www.imf.org/en/News/Articles/2024/04/12/pr-24112-costa-rica-6th-review-of-eff-arrangement-and-3rd-review-of-rsf-arrangement) Page 6
weather station level. ***p _<_ 0.01, **p _<_ 0.05, *p _<_ 0.1. _Source_ : Authors’ analysis based on data from BASIX and APHRODITE. Column 1 presents the baseline regression, which shows that villages that experienced a rainfall shock in 2004 actually had an average of 3.8 _fewer_ purchasers in 2005. One worry with this regression may be that because the insurance policies and rainfall patterns of each location are different, the definition of a 11 The APHRODITE weather data provides information about how many local weather stations contributed to a certain rainfall reading. Since some of the rainfall observations are likely to be more accurate than others, I weight them according to accuracy. If there are no rainfall stations contributing to the APHRODITE data in 2004 within a .75°×.75° grid around the desired BASIX weather station, the observation is given a weight of 1. If there is a least one weather station in this .75°×.75° grid, the observation is given a weight of 1.5. If there is a rainfall station within the .25°×.25°grid, the observation is given a weight of 2. The weighted results do not differ significantly from the unweighted results. 12 Note that while it is reasonable to
The World Bank Economic Review 693 low rates of rainfall insurance uptake in Andhra Pradesh, India, Giné, Townsend, and Vickery (2008) suggest that “over time, lessons learned by insurance ‘early adopters’ will filter through to other households, generating higher penetration rates among poor households.” This paper seeks to understand how previous insurance payouts can affect future insurance purchasing decisions, and what mechanisms can explain this behavior. Using data on three years of insurance purchasers from the Indian microfinance institution BASIX, I find that customers who received an insurance payout are 9 to 22 percent more likely to repurchase in the following year than customers who did not receive any insurance payments. I show that this effect cannot be accounted for by neo-classical explanations, such as wealth effects, changing expectations about weather, or trust in the insurance company. Instead, I argue that it is caused by the behavioral effects of receiving an insurance payout. I test two main hypotheses as to why receiving payouts could increase insurance demand the following year. First, several studies have shown that weather shocks themselves could have an effect on insurance demand (Kunreuther, Sanderson, and Vetschera 1985; Eling, Pradhan, and Schmit 2014; Turner, Said, and Afzal