Input: services or informal networks. The focus group discussions also underscored the precarious financial situation of many refugees, including those engaging in low-paid work below their qualifications, which creates a barrier for relocations to rented housing. 78% of respondents mentioned that they would not be able to cover costs of rented housing higher than CZK 5,000 (approximately USD 213) a month, which is well below market price. In addition to the individual factors affecting relocations to standard housing, key informant interviews and consultations with NGOs, representatives of local and regional governments, and experts in social housing outlined a number of structural factors impacting relocations. These include the need to clarify and strengthen institutional roles and responsibilities in relation to refugee assistance, the need to provide clear, understandable, and timely information on the upcoming housing changes, and the need to ensure unimpeded access of residents to social services and counselling. Furthermore, findings suggest that the current situation and oversaturation of the rental market in bigger cities should not be disregarded. Coordinated support _1 UNHCR-IOM: NEW BEGINNINGS: SUPPORTING THE DIGNIFIED RELOCATION OF UKRAINIAN TEMPORARY PROTECTION_ _HOLDERS TO STANDARD HOUSING. Report on the Relocation of Ukrainian Temporary Protection Holders from Collective_ _Accommodation Facilities to

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Input: but concentrated in high-risk areas such as the coast or river basins. In this section we present flood exposure estimated disaggregated to subnational regions, the number of which can vary across countries. World Bank household surveys are sampled to be statistically representative at different subnational levels – in this study we adopt these statistically representative subnational units which enable us to compare flood exposure estimates with socio-economic characteristics, such as income levels and poverty (Section 3.4). The disaggregation of exposure estimates highlights several subnational regions with high risks (Figure 9). Punjab, Pakistan, with a population of 120 million people, frequently experiences heavy flooding and ranks highest in terms of the absolute population headcount exposed to significant flood risk; approximately 48 million people are exposed, which is 38% of the total population. Several of the populous regions in China and India are also among the world’s subnational regions with the highest number of people exposed to flood risk. In China for instance, high population exposure tends to be close to the coast and around the Yellow River valley. However, the sub-national region with the highest population exposure in China is Guangdong in the southeast, on the South China Sea, where 43

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Input: in Zambia, driven largely by the rapid growth in mining activities, which has seen the population of the district more than double in 10 years—from around 85,000 at the time of the 2010 census to 180,000 in the 2022 census. [23] The population of Meheba, which is predominantly youthful (75.9 percent ages below 35 years), embodies the potential of a highly productive age group looking for opportunities and livelihoods. [24] The settlement’s boundaries intersect with three adjoining wards of Kalumbila District— Shilenda, Mwajimambwe, and Matebo—that have a combined population of 61,000. [25] 33. **Infrastructure provision at the Meheba settlement and within the local community will enhance productivity** **and quality of life.** It is anticipated that the improvement of rural access road infrastructure will increase both mobility and trade to and from the settlement for refugees and host communities. Current electrical supply is poor, with households relying mostly on kerosene lanterns, candles, flashlights, and generators for lighting and cell phone charging. Enhanced transport and energy will also stimulate retail business and production. The upgrading and expansion of school infrastructure will improve learning outcomes, enhance teacher retention and new recruitment, and afford greater dignity to boarding pupils, especially girls, as many are

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Input: _Note:_ Figure 5 shows the main treatment coefficients ( _active*mine_ ) using the baseline estimation strategy (with DHS individual-level data; see table 4 for more information) in the top panel, but with different cutoffs (10 km, 20 km, 30 km, 40 km, and 50 km). *** p<0.01, **p<0.05, *p<0.1. The bottom panel shows the result using a spatial lag model that divided the plane into different treatment bins (0–10, 10–20, 20–30, 40–50) and compares them with farther away. Panel A shows the result for nonmigrants, and panel B shows the result for migrants. **6.2 Access to infrastructure and health care** Another source of heterogeneity is asset ownership and access to infrastructure. Table 8 shows that fewer households have electricity in active mining communities, but they spend less time fetching water and are more likely to own a radio (all estimates are statistically insignificant, however). There is no change in the likelihood of having a flush toilet. Moreover, it seems that households are just as likely to have access to a pit toilet as not having a toilet (and instead use a bucket, bush, and so forth). **Table 8 OLS estimates for ownership of assets and access to infrastructure** water access

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Input: access to health care, and are less likely to accept domestic violence. In addition, infant mortality rates decrease with up to 50% in mining communities, from very high initial levels (Benshaul-Tolonen, 2019). In a study that focuses exclusively on Ghana, Aragón and Rud (2013) explore the link between pollution from mining and agricultural productivity. The results point toward decreasing agricultural productivity because of environmental pollution and soil degradation, which could have negative welfare effects on households that do not engage in mining activities or in indirectly stimulated sectors. Lower productivity in agriculture could potentially push households to engage in mining-related sectors, in addition to pull factors such as higher wage earnings in the stimulated sectors. We explore the effects of mining activity on employment, earnings, expenditure, and children’s health outcomes in local communities and in districts with gold mining. We combine the DHS and GLSS with production data for 17 large-scale gold mines in Ghana. We find that a new large-scale gold mine changes economic outcomes, such as access to employment and cash earnings. In addition, it raises local wages and expenditure on housing and energy. An important welfare indicator in developing countries is infant mortality, and we note a

production data for 17 large-scale gold mines

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Input: that the fact that M is chosen ex post (i.e., the country cannot commit not to borrow from the facility in period 1) simplifies the problem, which now boils down to the choice of period 0 borrowing, D0. Also note that, under the assumption that multilateral and private lending command the same interest rate, the actual composition of period 1 lending is immaterial for the current analysis. Then, without loss of generality, we can set D1 = 0. In the non default case, expected income can be expressed as - E(Y ) = x + (ρ 1) D0 [nd] π D0 [nd] (1 β) . (24) - - - However, the country can also borrow beyond the limit imposed by (23) and, after a shock, withdraw from the facility and default on the bond. In this case, expected income is given by - E(Y ) = (1 πγ) x + (ρ 1) D0 [d] + π (1 γ) (1 β) (25) - - - As before, the equilibrium can be characterized by income levels. In the case of rich countries (x > x [B] 1 [)] 16 The CAT DDO is a new financial product offered to middle-income country governments

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Input: The sample is restricted to individuals living within 100 km of a deposit location ( _mine_ ), so many parts of Northern Ghana where there are few gold mines are not included in the analysis. The sample restriction is created by using the time-stable continuous distance measure that we calculate from each mine location to each DHS cluster. This is also the distance measure that we use to create the “mine” dummy, which captures whether the cluster lies within 20 km of a known gold deposit. Note that we only consider deposits that have been in production at some point until December 2012. All households are thus within 100 km of one, or several, gold deposits. To ascertain whether there is any gold production in these potential mining sites, we construct an indicator variable _active_, which takes a value of 1 if there is at least one mine within 100 km that was extracting gold in the year the household was surveyed, and 0 otherwise. While the _mine_ dummy captures some of the special characteristics of mining areas (for example, whether mines tend to open in less urban areas), the _active_ dummy captures long-range spillovers of mining. The treatment effect

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Input: 28 This morbidity assumption is based on proxy data used in other countries in Sub-Saharan Africa for refugee camps and host communities (e.g., Somalia, Zimbabwe, South Sudan, Kenya). 29 Kip Viscusi, W., and Clayton J. Masterman. “Income Elasticities and Global Values of a Statistical Life.” [https://law.vanderbilt.edu/phd/faculty/w-kip-viscusi/355_Income_Elasticities_and_Global_VSL.pdf](https://law.vanderbilt.edu/phd/faculty/w-kip-viscusi/355_Income_Elasticities_and_Global_VSL.pdf) 30 O&M costs for infrastructure vary widely. These costs include water treatment, road resurfacing, building maintenance, cleaning, energy and staff costs. As such, the analysis uses a conservative assumption of five percent of the investment costs for annual O&M. Page 17

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Input: we are back in the benchmark case.] [To ensure that] no default occurs, it is suffi cient to show that π(1 β)(1 γ) x ~~[I]~~ 3 [N] x ~~[B]~~ 4 [=] - γ (γρ (1 π) + πγ π γ) [>][ 0] - - which is always the case for suffi ciently small values of π. 7.3 Catastrophe lending facility As before, for high initial incomes (x x [M] 1 = [1][−][γ][(] γ [ρ][−][β][)] ≥ γ ), the borrowing constraint (22) does not bind and the country invests the optimum in both states. In turn, for x < x [M] 1 [,] [from] [(23)] D0 [nd] = [γ] 1 [ (] - [x][ + 1] γ (ρ [ −] - [β] 1) [)] [≤] [1][,] and M = D0 [nd] - (1 − β) = [γx][ −] 1 [(1][ −] γ ( [γρ] ρ [) (1] 1) [ −] [β][)] 1 [(1][ −] γ ( [γρ] ρ [) (1] 1) [ −] [β][)] - 0 ⇐⇒ x > x [M] 4 [≡] [(1][ −] [γρ] γ [) (1][ −] [β][)] - = x [IN] 3 [,] (47) γ Alternatively, a financially constrained country may choose to increase borrowing from private

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Input: contractors, including adherence to working hours, pay and legally mandated benefits, equal and fair recruitment, and employment, are also probable. To address these concerns, a Labor Management Procedures (LMP) document has been incorporated into the project’s ESMF, which is due by effectiveness. The LMP provides guidance on managing labor-related risks. The final ESMF will be disclosed on the MINEMA and World Bank websites. 85. **Community Health and Safety (ESS4).** Construction can generate risks to the community, including exposure to dust, noise, hazardous construction waste, and traffic-related incidents. These risks will be evaluated during the preparation of the ESMF, drawing on lessons from Phase I. Mitigation measures will be integrated into site-specific Environmental and Social Management Plans (ESMPs). The government will be required to adhere to community health and safety standards outlined in the World Bank Environmental, Health, and Safety (EHS) guidelines, as well as incident reporting and management procedures in the event of accidents or incidents. Measures to address the risks of GBV, SEA and Sexual Harassment (SH) will also be implemented to ensure community safety. 86. **Land Acquisition, Restrictions on Land Use, and Involuntary Resettlement (ESS5).** Component one activities are expected to result in land acquisition, restrictions on land

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Input: **African migration to Israel** According to UNHCR, the Middle East and North Africa host a fifth of the world's refugees, excluding the considerable and growing population of Palestinian refugees. [5] Syria and Lebanon, Israel's northern neighbours, host a significant number. Syria is the third largest refugee hosting country in the world with, according to government figures, more than a million Iraqi refugees, while Lebanon hosts 50,000 refugees. To 3 A parliamentary inquiry found that between 2001-2005, an annual number of 1,000 women were trafficked through the border for prostitution (Lutski, 2005). Comprehensive enforcement has since significantly reduced the scale of women trafficked into Israel 4 It is reported that in the case of some Eritreans, initial payment was made already in Eritrea (Interview with a senior UNHCR official). 5Article 1D of the 1951 Convention exclude persons who receive assistance from other UN bodies. It intentionally excludes the Palestinians who were displaced as a result of the 1948 war, and were under the auspices of the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), an agency which was established prior to UNHCR. Palestinian refugees and their descendants are now estimated at 4.7 million (UNRWA 2009).

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Input: World Bank online screening tool, the GBV/SEA/SH risk was determined as high. Civil works will attract workers and pose SEA/SH risks. weak reporting of these cases is a challenge across most communities. LIPW activities will involve women working and receiving cash under component 2. If partners are not well trained and agree on how to spend their income, it would lead to intimate partner violence. To mitigate this risk, a GBV Action plan will be prepared, a Gender Specialist hired to support implementation, and a service provider engaged to support the coordination and implementation of the GBV Action Plan. Page 24

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Input: choice is influenced by climate (Mendelsohn & Dinar 2003). Further, there may be sample selection bias if we rely on farms that are observed to use dryland or irrigation. In this paper, we develop a new Ricardian model that examines dryland and irrigated land separately but treats the choice of irrigation as endogenous. A variety of factors influence the decision on whether to irrigate. Surface flows, soil types, and subsidies all play a role in making this choice. But perhaps more importantly to climate analyses, the choice is sensitive to climate. Studies that assume irrigation is exogenous fail to take into account how irrigation will change as climate changes and therefore provide biased estimates of the impact of climate change. Moreover, these analyses of only irrigated farms and only dryland farms rely on self-selected samples, not random samples. Studies that fail to account for this nonrandomness in the modeling framework will be biased (Heckman 1979; Lee 1983). In Section 2 we develop a theoretical model that improves on past efforts to model irrigation with the Ricardian approach by explicitly addressing farmer choice and selection bias. We tested this model empirically using a sample of over 8400 farmers from across 11

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Input: 72. **Gender.** The project is aligned the with Gender strategy 2024-2030 and specifically responds to two priority areas of the strategy (i) expand and enable economic opportunities and (ii) advances in women’s participation in decision making [48] _._ Under Component 3, the project will directly increase the participation of women in economic opportunities and better enable their ownership and control of productive assets by providing technical and financial support to farmers and cooperatives owned or led by these segments. Beneficiary selection criteria and formulas will contain preferences in favor of these groups through a quota. The project will specifically address the gender gap with respect to access to financing and access to market-oriented skills as well as personal initiative training. [49] Tailored marketing campaigns will also help attract more female participation and dedicated trainings, mentoring support, and business management tools for women and other target groups will be featured. The component will measure the portion of female beneficiaries increasing income as a result of project livelihood interventions. The project will also reach women and girls at the community level through enhanced infrastructure and health and education services provision. For example, improved road infrastructure in the Meheba settlement will enhance ambulance

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Input: we have constructed the cyclone database to support research on household- and community-level adaptation to cyclone risks. These risks may affect coastal population dynamics in at least two ways. In the long run, the number and size of coastal communities may be affected by the long-run frequency and power of cyclone strikes. Other things equal, we would expect areas that have been largely cyclone-free for many years to be more populous than frequently-impacted areas. Shorter-term, if impact-intensive zones shift over time, 8

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Input: **The World Bank** Socio-economic Inclusion of Refugees & Host Communities in Rwanda Project Phase II (P509677) **C. Disbursement Arrangements** 56. **To manage the World Bank funding, the project will maintain segregated Designated Accounts (DA) for** **each implementing agency (IA) at the Central Bank, denominated in US dollars.** In addition, BRD will open an operational account denominated in Rwandan Francs to facilitate local currency transactions. Disbursements will follow the Interim Financial Report (IFR)-based method. The project may also use direct payments, reimbursements and special commitments, depending on the case. The project is fully funded by IDA with no counterpart funding. The signatories of the DA will be communicated to the World Bank by MINECOFIN. Upon effectiveness, the project will submit to the World Bank a request for withdrawal of funds based on six months cash forecast. Detailed arrangements for disbursement are laid out in the Disbursement and Financial Information Letter (DFIL). Based on requests, the World Bank will transfer advances to the DAs. Subsequent replenishment of the DA will be based on the submission of application of withdrawal, accompanied by quarterly IFRs, which are reviewed and cleared by the World Bank. 57. **For activities implemented at the district level, MINEMA will

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Input: fastgini [15] in STATA). We do this for both the cluster and district level. None of the effects of mining are statistically significant, but they point to increased asset wealth. **Table 9 OLS estimates for wealth and inequality in the DHS individual-level analysis** Wealth Gini wealth cluster district index level level active*mine 7,290 -0.004 0.004 (12,849) (0.013) (0.018) mine 9,922 0.011 0.006 (8,676) (0.013) (0.016) active 7,854 -0.006 0.034** (9,016) (0.010) (0.017) Observations 4,909 4,909 4,909 R-squared 0.613 0.227 0.548 _Note:_ Robust standard errors clustered at the DHS cluster level in parentheses. All regressions control for year and district fixed effects, urban dummy, age, and years of education. Active is active status of mine in the survey year. *** p<0.01, **p<0.05, *p<0.1. OLS = ordinary least squares. **6.4 Bottom 40% of the population** To understand the welfare effects of the bottom 40 percent of the population in the income scale, we split the sample according to the wealth score provided by DHS. Given the data structure, which is repeated cross-section, we cannot follow a particular household that was identified as belonging to the bottom 40 percent in the initial time period. Instead, we identify the bottom 40 percent in four

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Input: **Table 7: Land values and rental price by ownership status and region** **Region** **Tenure** Total Central Eastern Northern Western _Mailo_ / Customary Freehold **Parcels held under ownership** Self-assessed land value (USD/acre; median) 403.2 430.1 430.1 161.3 536.6 537.6 358.4 Self-assessed land rental (USD/acre; median) 21.5 26.9 21.5 16.1 26.9 26.9 21.5 Number of parcels 8619 1440 2522 2026 2631 1784 6835 **Parcels held under usufruct** Would like to buy full ownership (%) 37.3 42.1 41.0 18.1 45.3 42.5 34.7 If yes, willingness to pay (USD/acre; median) 215.1 215.1 215.1 107.5 322.6 268.8 215.1 Paid rent (%parcels with owner’s consent) 62.1 44.7 68.1 54.6 72.4 52.0 65.4 If yes, rent paid (USD/acre; median) 16.1 17.9 16.1 10.8 21.5 19.1 16.1 Number of parcels 4478 1219 1320 967 972 1519 2959 _Source:_ Own computation from 2005/06 UNHS III 23

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Input: safety nets were key recommendations from the Climate Change Development Report (2024) for Djibouti. 3. **Low human capital further constrains economic and climate resilience and limits opportunities for inclusive** **growth.** Djibouti’s LMIC status contrasts sharply with its poor human capital outcomes (World Bank, HCR, 2024). Deficiencies are evident throughout the lifecycle, starting with high rates of infant mortality and stunting. In later years, inadequate learning outcomes and skills, a lack of workforce-relevant skills, and low labor force participation – especially among women – present significant barriers to economic productivity. Additionally, poor health outcomes for women, including high rates of female genital mutilation and maternal health challenges, further impede human capital accumulation. Private sector surveys highlight a critical mismatch between labor market demands and the available skills. Women face even greater challenges due to entrenched social norms and structural barriers to self-employment and entrepreneurship, as reflected in Djibouti’s low ranking on the Women, Business, and the Law Index (World Bank 2022a). 4. **Djibouti’s vulnerability to climate-related disasters exacerbates these economic and social challenges.** The country frequently experiences heatwaves, droughts and floods, which take a heavy toll on the population by reducing productivity and disrupting economic activity. Between 1980 and 2019, Djibouti

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Input: services are vital to ensure decent living conditions for some 120,000 people and peaceful coexistence with host communities. **Basic Needs and Livelihoods** With the growing refugee population in Morocco and limited resources, a growing number of refugees are in desperate need of assistance to meet their basic needs. Without additional funding, basic assistance for some 1,600 families will be reduced. Support to promote income-generating activities, vocational training and job placements will also be compromised, further increasing the number of refugees relying on cash assistance to cover their basic needs. **Education** Education assistance to some 1,200 refugee children registered in Moroccan public schools, which plays a key role in reducing school dropouts and negative coping mechanisms such as child labour and/or marriage, will also be compromised. **Health** Pending the inclusion of refugees in the ongoing social protection reform, UNHCR remains a main stakeholder supporting refugees’ access to secondary and tertiary healthcare. Lack of funding will impact UNHCR’s capacity to pay for critically needed medication and lifesaving specialized medical interventions for more than 500 vulnerable refugees. [www.unhcr.org](https://www.unhcr.org/) 5

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Input: 85. **Inclusion and non-discrimination.** E&S documents include specific measures to mitigate the risk of discrimination against or exclusion of any affected individuals or groups in providing or receiving benefits under the project. These measures are described in detail in the Environmental and Social Commitment Plan (ESCP), ESA, and Stakeholder Engagement Plan (SEP). The following are examples of the mitigation measures included in all the aforementioned documents: (a) strengthening the capacity of the PIST, workers, contractors, subcontractors, and service providers, which will include worker training and sensitization on the obligations of project participants to ensure non-discrimination of vulnerable and marginalized individuals or groups; (b) ensuring that contracts, codes of conduct, hiring procedures, whistle-blower protection protocols, and other measures, as needed, are in place to allow remediation of cases of discrimination; (c) designing and implementing a mechanism to receive and report grievances to the World Bank, proposing appropriate remediation, and following up on agreed actions to resolve cases of discrimination reported through a dedicated hotline; and (d) developing a strong data management system and process that secures personal data and information in a manner that is safe, ethical, and confidential. 86. **Furthermore, the ESA and SEP also refer to the GoU’s Circular

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Input: more frequent flooding rains. 42. **Implementation** . This component will be implemented by MINEMA, supported by the Ministry of Environment and the Rwanda Environment Management Authority. As activities will be in the camps, MINEMA will be responsible for long-term management and maintenance. The activities are expected to improve environmental conditions for 125,000 people (camp-based refugee population and people living in the surrounding villages). **Component 4: Project Management, M&E and Capacity-Building (US$4.02 million equivalent)** 43. This component will support the Single Project Implementation Unit (SPIU) at MINEMA and staff in the target districts to manage the project. [24] This will include project staff at the district level for coordination and oversight. M&E arrangements will include a baseline survey, annual surveys, and endline assessment and continued operation of the Management Information System (MIS). Other activities will include a communications strategy and funds for capacity-building for staff from all project implementing agencies on issues such as community development, fiduciary management, E&S risk management, financial inclusion, climate risk management and development responses to forced displacement. 23 The assessment also identified additional needs that will not be included in the Phase II design due to resource constraints and to avoid overcomplicating the design: (a) reforestation

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Input: specialists with experience with IDRD-financed operations. Given these constraints, the creation of a PIU dedicated to the implementation of the IBRD Project is the preferred option presented by MEP’s Financial Directorate. [29] . The assessment identified key FM actions that should be undertaken by the MEP that include: (i) the creation and maintenance of a PIU; (ii) recruitment of FM staff with appropriate skills and experience, no later than 6 months after effectiveness; (iii) the MoF granting the PIU with a license to use the SIGAF (Sistema Integral de Gestión Administrativa y Financiera for its name in Spanish); (iv) preparing an FM section in the project operational Manual (POM) satisfactory to the Bank. The creation of the PIU will be a condition of effectiveness (upon satisfactory implementation of the agreed fiduciary action plan, it is expected that MEP’s PIU will have the capacity to ensure adequate FM arrangements are in place for the proposed project implementation). 51. **The PIU to be established at the MEP is expected to undertake the FM aspects of the proposed Project.** These encompass the following main tasks: (i) budget formulation and monitoring; (ii) cash flow management (including processing payments and submitting loan withdrawal applications to

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Input: displaced as a result of the 1948 war, and were under the auspices of the United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), an agency which was established prior to UNHCR. Palestinian refugees and their descendants are now estimated at 4.7 million (UNRWA 2009). _Refugee Survey Quarterly_ has recently published a special issue which provides a detailed historical account of this multifaceted issue (RSQ 2009). 3

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Input: (Bonte) 1998 2003 Akrokeri-Ashanti Canada Konongo 1990 active LionGold Corp. Singapore Kwabeng 1990 1993 Akrokeri-Ashanti Canada Nzema 2011 active Endeavour Canada Obotan 1997 2001 PMI Gold Canada Obuasi 1990 active AngloGold Ashanti South Africa Prestea Sankofa 1990 2001 Anglogold Ashanti South Africa Tarkwa 1990 active Gold Fields Ghana Ltd. South Africa Teberebie 1990 2005 Anglogold Ashanti South Africa Wassa 1999 active Golden Star Resources USA _Source:_ InterraRMG 2013. _Note:_ Active is production status as of December 2012, the last available data point. 6

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Input: **SUMMARY** Previous Ricardian analyses of agriculture have either omitted irrigation or treated irrigation as though it is exogenous. In practice, it is a choice by farmers that is sensitive to climate. This paper develops a choice model of irrigation in the context of a Ricardian model of cropland. We first examine how climate affects the decision to employ irrigation and then how climate affects the net revenues of dryland and irrigated land. This Ricardian ‘selection’ model, using a modified Heckman model, is then estimated across 8400 farmers in Africa. We explicitly model irrigation, but we control for the endogeneity of irrigation that plagues a recently suggested remedy. We find that the choice of irrigation is sensitive to both temperature and precipitation. Simulating the welfare impacts of several climate scenarios, we demonstrate that a model which assumes irrigation is exogenous provides a biased estimate of the welfare effects of climate change. If dryland and irrigation are to be estimated separately in the Ricardian model, irrigation must be modeled endogenously. The results also indicate that African agriculture is sensitive to climate change. Many farmers in Africa will experience net revenue losses from warming. We find that the elasticity of net revenue with

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Input: the surveys of women will be the main source of data. However, we also use the surveys of men, which give us data from the same four survey years, but with a total number of 12,294 individuals, of which 7,491 men live within 100 km of a mine. In addition, the DHS data collect records of all children born within the five years prior to the surveying. Of the 12,174 children born to the surveyed women within the last five years, 6,888 were born to women currently residing within 100 km of a mine. See Appendix table 1 for definition of outcome variables. We complement the analysis with household data from the GLSS collected in the years—1998– 99, 2004–05, and 2012–13. These data are a good complement to the DHS data, because they 6 The first mines were opened in 1990, prior to the first household survey. Ten mines were opened after the first DHS in 1993. There is less variation in the data set using GLSS where the first households were surveyed in 1998, i.e. 8 years after the first mine opened. However, the DHS data include births recorded from 1987, which is prior to all mine openings. 9

DHS data
household data from the GLSS
GLSS

surveys of men
household data from the GLSS

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Input: normal good, then increased wealth would result in greater insurance demand. [18] Although the BASIX data set does not offer the opportunity to test the direct effects of a cash payment separately from an insurance payout, there are a number of reasons why it is unlikely that wealth or liquidity effects are driving the results. Most important, insurance payouts are given in the context of a rainfall shock, which would most likely result in a loss of income. It may help to recall that the empirical results are being driven by variation in rainfall across locations, not by levels of insurance within a village. Therefore, for wealth effects to be driving the results, one would need to think that experiencing an insurance payout in the context of a rainfall shock resulted in people becoming wealthier than those people who didn’t experience a shock at all. Given the fact that most buyers bought a relatively low amount of insurance coverage relative to their incomes, experiencing a rainfall shock, even when insured, would likely decrease future wealth. Therefore, wealth effects seem like a poor explanation as to why receiving payouts spurs future insurance sales. If people who received insurance payouts had a

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Input: Economics of Disasters and Climate Change Fig. 9 Relative exposure in the Red River Delta for historical 25-year flood (left) and 25-year flood with high climate impacts (right) 2012). For instance, comparing exposure of poor people to average exposure, poor households are 71% more exposed to flooding in the Mithi River Basin in Mumbai, India (Hallegatte et al. 2016). We examine these dynamics in HCMC, using high-resolution local-scale flood maps designed specifically for HCMC (Lasage et al. 2014) and a proxy for poverty using the spatial location of potential slums from the Platform for Urban Management and Analysis (PUMA) data set (World Bank 2015). The results we present below are for all districts in HCMC; results for only districts with slum areas are similar and thus not reported. We find that a relatively high percentage of the potential slum areas are exposed to floods, ranging from 68.9% (for a 10-year return period) up to 83.3% (for a 1000-year return period). When considering all urban areas of HCMC, exposure to flooding is lower: 63% (for a 10-year Fig. 10 Relative exposure in the Mekong Delta for historical 25-year flood (left) and 25-year flood with high climate impacts (right)

Platform for Urban Management and Analysis

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Input: The Systematic Tracking of Exchanges in Procurement (STEP) system will be used for all procurement activities; and g) The World Bank will carry out regular reviews of project-related procurement activities. 17. **Procurement oversight and monitoring arrangements.** The World Bank exercises its procurement oversight through a risk-based approach comprising prior and post reviews as appropriate. The World Bank sets mandatory thresholds for prior review based on the procurement risk rating of the project. The requirement for a prior or post review is specified in the Procurement Plan. The World Bank will carry out post reviews of procurement activities undertaken by the recipient to determine whether they comply with the requirement of the Financing and Project Agreements. 18. **Terms of reference** for all contracts will be cleared by the World Bank, regardless of whether the assignment is for prior or post review. 19. **Training and workshops** : The project will finance training and workshops, if required, based on an annual training plan and budget, which will be submitted to the World Bank for its prior review and approval. The annual training plan will identify, among other things: (a) the training envisaged; (b) the justification for the training; (c) the personnel to be

Systematic Tracking of Exchanges in Procurement (STEP)

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Input: and feedback mechanism will also be established to enable individuals to report concerns or complaints if they feel unfairly treated or adversely impacted by the project. The SEP has been disclosed on the MINEMA and World Bank websites. 88. **To address these E&S risks, the applicable Environmental and Social Standards (ESSs) are** ESS1 (Assessment and Management of Environmental and Social Risks and Impacts), ESS2 (Labor and Working Conditions), ESS3 (Resource Efficiency and Pollution Prevention and Management), ESS4 (Community Health and Safety), ESS5 (Land Acquisition, Restrictions on Land Use and Involuntary Resettlement), ESS6 (Biodiversity Conservation and Sustainable Management of Living Natural Resources), ESS8 (Cultural Heritage), ESS9 (Financial Intermediaries), and ESS10 (Stakeholder Engagement and Information Disclosure). 89. **To ensure compliance with the ESSs, the project will implement the following E&S instruments:** Environmental and Social Commitment Plan (ESCP), ESMF, LMP, Environmental & Social Impact Assessments (ESIAs), ESMPs, SEP and Environmental and Social Audits (ESAs). Measures to integrate E&S specifications in procurement and to manage contractual obligations with construction companies and suppliers will also be enforced. Dedicated, full-time E&S specialists from the MINEMA SPIU from Phase I will oversee these activities to minimize risks. BRD, BDF and RTDA will each appoint their own E&S

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Input: **The World Bank** Uganda Development Response to Displacement Impacts Project Phase II (P510476) PROJECT APPRAISAL DOCUMENT (d) sustainable land management practices were adopted on 5,110 hectares of land area (target 4,500). A World Bank strategic review of the Uganda WHR-financed portfolio highlighted the substantial impact of the project, with notable achievements in strengthening the inclusiveness of district level development planning, strong community engagement, and efficient implementation through the community-driven development (CDD) approach and community procurement. The Implementation Completion and Results Report (ICR) for Phase I highlighted that other DRDIP countries drew inspiration from Uganda’s legal and policy framework and operational approaches on issues such as CDD, livelihood, and refugee inclusion in local planning and decision-making. [18] 20. **Phase I introduced innovations for forced displacement preparedness and social cohesion.** The project featured the world’s first displacement risk financing mechanism, the Displacement Crisis Response Mechanism (DCRM). The DCRM provided rapid contingency financing to build resilience in districts experiencing large refugee inflows. A pilot to reduce gender-based violence (GBV) and violence against children (VAC) also contributed to social cohesion. A 2022 World Bank study on forced displacement reinforced the value of projects such as DRDIP, concluding that ‘multi-sectoral development investments directed to refugees

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Input: if people consider insurance as an investment, as in Karni and Safra (1987). One might think that this type of bias would have spillover effects (which I do not observe), but may also be present at the individual level if people believe recent insurance payouts are a sign of individual luck. Another explanation could be that insurance purchasers behave as if they are “gambling with house money,” as in Thaler and Johnson (1990). If customers exhibit loss aversion, they may not view insurance premiums paid after receiving payouts as true losses, since they are still “in the red” in their relationship with the insurance company. If the assumption is that reference points adjust after receiving insurance payouts, the observed behavior is consistent with this theory. This explanation is bolstered by the fact that the data show negative effects of small payouts, with the effect of payouts becoming positive only 19 [This analysis is available in the supplemental appendix, table S.5. There is no correlation between payouts and a dummy](http://wber.oxfordjournals.org/lookup/suppl/doi:10.1093/wber/lhw045/-/DC1) for our “Marketing Restricted Sample.” However, BASIX is more likely to offer insurance in areas where there were insurance payouts in the previous year. Since all of this paper’s analysis is

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Input: for all implementing entities, including community-based organizations and seed grants for VRFs, will be described in the FM section of the PIM. The PIM will also include a Community Operations Manual that will detail all steps in the CDD process, including accountability arrangements. 75. **Audit** . The project will have two audit reports that will be submitted to the World Bank by OPM and IG within six months after the end of the financial year. The project will also have interim financial reports submitted to the World Bank within forty-five days after the end of the quarter by both OPM and IG. **Procurement** 76. **Procurement for the project will be carried out in accordance with the World Bank Procurement Regulations** **for IPF Borrowers, dated February 2025 (Procurement Regulations).** The project will be subject to the “Guidelines on Preventing and Combating Fraud and Corruption in Projects Financed by IBRD Loans and IDA Credits and Grants”, dated October 15, 2006, and revised in January 2011 and as of July 1, 2016 (Anti-Corruption Guidelines), and beneficiary ownership disclosure requirements. The project will use the Systematic Tracking of Exchanges in Procurement (STEP) system to provide data on planned procurement activities, establish benchmarks, monitor delays,

Systematic Tracking of Exchanges in Procurement

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Input: just outside our 20 km cutoff distance may also be “treated” by the mine, and the investment phase of the mine that precedes initial production can generate substantial employment. Overall, the effects do not change much except making the cash earnings coefficient larger and more significant. The increase in cash earning opportunities is estimated at 7.5 to 7.8 percentage points compared with 5.4 in the baseline estimation. **6.6 Employment and wages using the GLSS** The DHS data do not provide detailed information regarding how much an individual earns for work, or her wage rate, but the GLSS does collect such data. First, we try to replicate the results estimated with the DHS data. Panel A of table 11 indicates that agriculture becomes less important in mining communities for women (statistically insignificant), who mainly shift into services and sales (statistically insignificant, except for strategy 2). Men are more likely to work as miners (statistically significant across all strategies). 29

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Input: maps, which have a spatial resolution of 20 m, represent the current conditions for five return periods: 10, 25, 50, 100, and 1000 years. Future conditions, again using the five return periods, include a sea level rise scenario of +30 cm in the year 2050 (consistent with the Blow^ sea level rise used for the maps produced for this study) in combination with current river discharge (FIM 2013). Potential peaks in precipitation events and/or river discharges due to climate change are not covered by this data set. The inundation layers for a 10, 25, and 50year return period under current climate conditions and given a sea level rise scenario of +30 cm are shown in Fig. 2. Socioeconomic Data District-Level Poverty and Population Data At the national-level analysis, we overlay the flood hazard maps developed for this study with spatial socioeconomic data. For Vietnam, the World Bank has produced estimates of the Table 2 Hazard map scenarios for which the modeling was conducted for Vietnam Scenario Coastal Fluvial/Pluvial 1 in 25 1 in 25 1 in 25 1 in 25 Future – Low 1 in 25 + 28 cm 1 in 50 1 in 25 Future – Medium 1 in

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Input: Trafficking in Women in Israel. http://www.knesset.gov.il/committees/heb/docs/sachar_final2005.htm. (Hebrew) (Accessed 20.08.2010) MALKKI, L. H. (1995a) _Purity and Exile: Violence, Memory, and National Cosmology Among Hutu_ _Refugees in Tanzania_ . Chicago: University of Chicago Press. ——— (1995b) Refugees and Exile: From "Refugee Studies" to the National Order of Things. _Annual_ _Review of Anthropology_ 24, no. 1: 495-523. ——— (2002) News from Nowhere: Mass Displacement and Globalized `Problems of Organization'. _Ethnography_ 3, no. 3: 351-360. MAN, I. (2010) Refugees. _Maftech_ 1, no. 1. http://mafteakh.tau.ac.il/pdf/1-2010-08.pdf. (Hebrew) (Accessed 20.08.2010) MARKOWITZ, F. (1996) Living in limbo: Bosnian Muslim refugees in Israel. _Human Organization_ 55, no. 2: 127-132. MARTINS, B. O.(2009) Undocumented Migrants, Asylum Seekers and Refugees in Israel. EuroMeSCo Paper 81. http://www.euromesco.net/images/paper81eng.pdf. (Accessed 20.08.2010) McCARTHY, R. (2010) Israel to Build Surveillance Fence along Egyptian Border. _The Guardian_, November 1. http://www.guardian.co.uk/world/2010/jan/11/israel-fence-egypt. (Accessed 20.08.2010) MFA. (1948/2010) Israeli Declaration of Independence. http://www.mfa.gov.il/MFA/Peace%20Process/Guide%20to%20the%20Peace%20Process/Decl aration%20of%20Establishment%20of%20State%20of%20Israel. (Accessed 20.08.2010) MORRIS, B. (1997) _Israel's Border Wars, 1949-1956: Arab Infiltration, Israeli Retaliation, and the_ _Countdown to the Suez War_ . USA: Oxford University Press. 18

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Input: their accommodation in the coming months should there be need for collective accommodation facilities to create additional space for newcomers. Participants also expressed significant financial strain in covering the costs of their accommodation. While only 4% of respondents (17 households) reside in accommodation provided by their employer, it is noteworthy that their information and other priority needs are heightened. While accommodation was indicated as a priority need by only 13% of respondents, employment and information needs were much higher for this group, mentioned by 53% and 27%, respectively, compared to 32% and 12% of respondents overall. This group also highlighted a much higher need for information on legal status (40%), Temporary Protection (27%) and how to claim asylum (20%) than the overall respondents (26%, 15% and 5% respectively). These findings may reflect that Ukrainian Temporary Protection respondents living in employer-provided housing face barriers to accessing information and may be seeking assistance in finding new employment and in relation to their legal status. Finally, out of those who do not have a rental contract (6%), the majority of respondents (92% in comparison to 75% in Q1) are in this situation because the unit is rented by another person or entity. This

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Input: rural development approach.** The region not only hosts a significant migrant population, primarily from Ethiopia, but also grapples with chronic underdevelopment, reflected in high poverty rates, limited access to basic services (including water, sanitation, healthcare, and education), and high levels of unemployment. The continuous inflow of migrants places additional strain on these already overstretched services, exacerbating the challenges faced by host communities. The region’s arid climate and vulnerability to climate change further intensify these challenges, restricting opportunities for sustainable livelihoods. Poverty in Dikhil is marked by multiple layers of deprivation – economic exclusion, poor social infrastructure, and environmental fragility – compounded by limited access to markets and essential infrastructure. As a result, the region’s socio-economic landscape requires a nuanced, multi-sectoral response that simultaneously addresses these interconnected issues. The project’s integrated approach will create sustainable livelihoods for both local residents and migrant communities while contributing to the 4 World Bank, Gender Portal. 5 UNHCR, African Development Bank Group, IGAD, EAC (2024), Regional Report Draft: Regional Program on Enhancing the Investment Climate for the Economic Empowerment of Refugee, Returnee and Host/Return Community Women in the East and Horn of Africa and Great Lakes Region Page 3

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Input: confirms that the coefficient for electricity access is negative using the treatment distance 20 km. However, with a treatment distance of 10 km, the effect is marginally positive and insignificant. If we use a treatment distance of 50 km, we no longer see a significant effect. In panel Ab, the results are replicated using a spatial lag model, meaning that we allow for nonlinear effects with distance. In reality, it seems like the electricity rate is much higher before a mine (dashed line) than with an active mine (the blue line). However, when the results are decomposed by migrant status in panel Ac of figure A1 (Annex) we find that migrants are driving the lower electricity rate. In fact, among nonmigrants, the electricity rate is higher 0–10 km from an active mine, although it is slightly lower 10–20 km away. [14] **6.3 Distributional effects on wealth and inequality** Table 9 presents the effects of mining on asset wealth and on asset wealth inequality. Wealth data are available in the form of a wealth index, but only for the two last DHS surveys. Following Fenske (2015) and Flatø and Kotsadam (2014), we calculate inequality by means of a Gini coefficient (recoding

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Input: regions. However, all regions (particularly AFR and LCR) include countries that have no lending, despite significant environmental problems. **Figure 5.2: World Bank Environmental Lending by Region** **vs. Overall Environmental Problems (Log Scale)** The number of such zero-lending cases suggests that the Bank's interaction with these countries has been affected by other factors. We introduce broader considerations into our regressions by including the Bank's total country lending and countries' OED project success rates, as well as regional differences. The results in columns 2 and 3 of Table 5.1 suggest that the Bank's overall lending relationship with a country and the country's project success rate are both significant determinants of environmental lending. The results in column 3 also indicate a significant component of environmental lending to two regions (ECA, MNA) that is not accounted for by our environmental problem indicator, project success rates, or other Bank lending. 14

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Input: renewable energy, that are now covered by other projects; and (b) government needs support to lead coordination of the development response across multiple operations. The project will have five components. **Component 1: Social and Economic Services and Infrastructure (US$191.5 million equivalent)** 23. **This component will support the construction, rehabilitation, upgrading, and maintenance of priority basic** **service infrastructure.** Infrastructure investments will benefit both refugees and host community members, supporting the transition roadmap goal of integrating refugees into national education, health, and water supply systems. Component activities will support improved access to services for three million people (66 percent host community members/34 percent refugees). 18 See ICR Report No. ICR00006388, December 3, 2024. 19 World Bank (2022). _Social Cohesion and Forced Displacement: a Synthesis of New Research_ . Washington DC: World Bank. Page 7

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Input: **The World Bank** Integrated Community Resilience Project (P506969) PROJECT APPRAISAL DOCUMENT 13. **Refugee-hosting areas such as Obock, Ali Addeh, and Holl Holl, face difficulties in the delivery of key services,** **such as adequate water supply, sanitation, and electricity.** Access to reliable water sources is particularly limited, contributing to health vulnerabilities in both refugee sites and host communities. Carrying water from wells to houses imposes a heavy burden of work on women and children, reducing education opportunities. Similarly, electricity coverage remains inadequate, with many households and public facilities still dependent on unreliable power supply. Geographic isolation, especially in Obock, further compounds these issues, as the region's remote location and underdeveloped infrastructure inhibit service delivery, especially during extreme weather events. Refugees in Djibouti face high levels of food insecurity and malnutrition [12], and the World Food Program (WFP), in partnership with the MoI and UNHCR, provides unconditional food assistance to more than 22,200 people per month in refugee-hosting areas of Djibouti [13] . 14. **Women are disproportionately affected by socio-economic disadvantages in Djibouti, facing significant gaps** **across different dimensions, including access to basic services, education and employment opportunities** . Multidimensional Poverty Index (MPI) is reported to be higher among women than men

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Input: their surrounding environment. For example, it is expected that SLR will have its most pronounced effects on brackish and freshwater marshes in the coastal zone through alteration of hydrological regimes (Burkett and Kusler, 2000; Baldwin et al., 2001; Sun et al., 2002). Similarly, sea-level rise may not lead to loss of saltmarsh areas since these marshes accrete vertically and maintain their elevation relative to sea level where the supply of sediment is sufficient (Hughes, 2004; Cahoon et al., 2006). WMP indicates the potential for wetlands to migrate landward in response to a 1-meter rise in sea level. The migratory potential is based on a few geophysical characteristics of the coastline: coastal type, topography, tidal range, and other information when available (e.g., whether 14 GLWD coastal wetlands is a term used in this paper to distinguish coastal wetlands from the specific coastal wetlands type in the GLWD. GLWD coastal wetlands type is derived from a number of data sources and categories: ‘Lagoon’ from ArcWorld (ESRI, 1992: referenced in Lehner and Döll 2004); ‘Delta’, ‘Lagoon’, ‘Mangrove’, ‘Estuary’, ‘Coastal Wetland’, and ‘Tidal Wetland’ of WCMC wetlands map (Dugan, 1993; WCMC, 1993; referenced in Lehner and Döll 2004) - see Lehner and Döll (2004)

WCMC wetlands map
GLWD coastal wetlands
ArcWorld

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Input: ### Protection Risk III **Access to work:** 10% of respondents who are unemployed reported challenges in accessing employment, mainly due to language barriers, a lack of opportunities, as well as a lack of education recognition, caring responsibilities for dependents, or a lack of information. Focus group discussions conducted by UNHCR [2] ## highlighted challenges with women accessing 61% employment due to a lack of childcare, Face language barriers in accessing kindergarten places and other childcare employment arrangements, including for school-age children. Given the large proportion of single female caregivers, addressing this challenge will be key to increase access to work for this group and to mitigate protection risks including gender-based violence, human trafficking and exploitation. Women also raised challenges related to language barriers in accessing employment. Specific challenges in accessing quality language courses at the correct level were also raised (high demand for quality B1-level courses). The lack of adequate language skills leads to the inability to upscale professional skills and to seek meaningful employment opportunities matching qualifications. When seeking employment through agencies, women reported cases of labour exploitation with jobs that often involve long working hours, no breaks, no social protection coverage, and no annual leave. From protection monitoring,

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Input: no significant differences in either of them. 13 Information on crop output was collected at the crop level, separately for the two main agricultural seasons (July - December 2004 and January - June 2005). A diary was used for continuously harvested crops and prices, in addition to standard socio-economic information, were collected at the community level. 9

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Input: assistance in finding new employment and in relation to their legal status. Finally, out of those who do not have a rental contract (6%), the majority of respondents (92% in comparison to 75% in Q1) are in this situation because the unit is rented by another person or entity. This may indicate a prevalence of sublease schemes. During UNHCR’s focus group discussions with Ukrainian Temporary Protection holders in Brno and Prague in August, some participants highlighted having encountered challenges with sublease schemes, including facing higher than market-rate rent propositions. 3 Multiple responses were possible. UNHCR / September 2024 3

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Input: estimation strategy assumes similar trends over time across the treatment (close to mines) and control group (far away from mines), in absence of the gold mining expansion. While this assumption cannot be tested using our dataset, previous analyses have found evidence for parallel pre-trends in infant mortality and night lights (Benshaul-Tolonen, 2019) for gold mining countries in West and East Africa (including Ghana). The baseline differences in observable characteristics – in particular, lower levels of economic development preceding the mine opening - indicate that a cross sectional approach using only the post-period may not be sufficient to understand the impact of gold mining on socio-economic variables. **Table 2 Summary statistics for women’s survey** (1) (2) (3) (4) Before mining During Mining >20 km <20 km >20 km <20 km Mean Coefficient Mean Coefficient _Woman Characteristics_ Age 28.79 0.836 28.95 -0.352 Total children 2.18 0.417* 2.56 -0.035 Wealth 3.85 -0.619** 3.33 -0.028 Nonmigrant 0.32 0.123** 0.33 -0.028 Urban 0.62 -0.300** 0.49 -0.150** No education 0.17 -0.045 0.20 -0.042** <3 years education 0.77 0.035 0.74 0.045** 15

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Input: impact of property rights insecurity arising from overlapping land rights rather than comparing titled and untitled land. We do so for the case of Uganda, a country where overlapping property rights, many of them established a long time ago, are very common. This, together with the ability to rely on a large nationally representative household survey, allows us to go beyond the existing literature in three respects. First, while the historical genesis of overlapping rights makes it unlikely that such arrangements were chosen based on comparing the cost and benefits of different contractual forms, our ability to apply household level fixed effect estimation techniques to a large sample of (owner-cum-occupant) households who simultaneously operate own and usufruct parcels allows us to avoid many of the biases that have characterized cross sectional estimates in the past. Second, the existence of laws aiming to eliminate investment disincentives arising from overlapping property rights enables us to assess whether, and if yes to what extent, such laws have achieved their objective. This provides lessons on the scope to reduce underinvestment associated with insecure tenure through (legislative) means that stop short of changing the land ownership structure. Finally, information on tenants’ willingness to purchase residual

large nationally representative household survey

nationally representative household survey

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Input: scenario as given, and assess the _exposure_ of the present wetland stock for each of the 76 developing countries and five regions. Second, the digital elevation (90m DEM V2) data we use in our analysis gives altitude in 1-meter increments, preventing us from sub-meter SLR modeling. [13] Third, the lack of resolution of spatial data of the wetlands and digital elevation higher than 90 m prevented us from including small islands in our analysis. Fourth, our analysis does not estimate potential destruction of wetlands from 13 One can interpolate the elevation data we have used for sub-meter SLR modeling, but in that case, precision of the estimates would be difficult to justify. The potential use of LIDAR survey (laser-based elevation measurement from low-flying aircraft) was beyond the scope of our analysis. 5

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Input: Jun. (2020). Coastal Development between Opportunity and Disaster Risk: A Multisectoral Risk Assessment for Vietnam. Policy Research Working Paper; No. 9352. World Bank, Washington Bright, E. A., Rose, A. N. & Urban, M. L. _Landscan 2015 High-Resolution Global Population Data Set_ . (Oak Ridge National Laboratory (ORNL), Oak Ridge, TN, USA, 2016). Chakraborty, J., T. Collins, M. Montgomery, S. Grineski. (2014). Social and Spatial Inequities in Exposure to Flood Risk in Miami, Florida. Natural Hazards Review. Vol.15(3) Erman, A., M. Tariverdi, M. Obolensky, X. Chen, R. Vincent, S. Malgioglio, J. Rentschler, S. Hallegatte, N. Yoshida (2019), Wading Out the Storm: The Role of Poverty in Exposure, Vulnerability and Resilience to Floods in Dar Es Salaam. World Bank Policy Research Working Paper No. 8976, Facebook Connectivity Lab and Center for International Earth Science Information Network - CIESIN. (2018). Available at: http://ciesin.columbia.edu/data/hrsl/#acknowledgements. (Accessed: 15 [th] September 2020). Fielding, J. (2012). Inequalities in exposure and awareness of flood risk in England and Wales. Disasters. Vol. 36(3), pp.477-494 Freire, Sergio; MacManus, Kytt; Pesaresi, Martino; Doxsey-Whitfield, Erin; Mills, Jane (2016): Development of new open and free multi-temporal global population grids at 250 m resolution. Geospatial Data in a Changing World; Association of Geographic Information Laboratories

Landscan 2015 High-Resolution Global Population Data Set

open and free multi-temporal global population grids

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Input: of Bengal** **3.2 Trend in Maximum Wind Speed, 1877-2016** Maximum wind speed is the consistently-reported measure of storm power in our database. We compute two measures for a trend analysis. First, we order all 525 storms by date and compute the 20-date moving average (MA) for maximum wind speed. This is similar to a conventional moving average, which uses evenly-spaced dates. Storm incidence in our database varies by season and year, but we believe that our MA measure is informative because year-to-year 6

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Input: **The World Bank** Costa Rica Results in Education (CORE) (P181174) **ANNEX 1: Implementation Arrangements** **Financial Management** 1. Financial Management tasks for the proposed project will be handled by the PIU to be created, which will be staffed with a seasoned Financial Management Specialist/budgetary an Accounting and Treasury Analyst for carrying out financial management tasks under the project which include: (i) a financial management specialist, (including processing payments and submitting loan withdrawal applications to the WB); (iii) maintenance of accounting records (including the administration and maintenance of an inventory of project assets); (iv) preparation of semi-annual reports and annual financial statements; (v) administration of adequate information systems; and (vi) arranging for execution of external audit. 2. The staff required for the FM positions referred above will be hired under Terms of Reference acceptable to the Bank. 3. **Planning and budgeting** . The PIU will be responsible for preparing and monitoring the annual operating plan and budget. The project’s annual operational plan will be the main input for budget formulation. Budget formulation and execution will follow local procedures and requirements. (i.e., approval of transactions, modifications, issuance of commitments) Its monitoring procedures will be established in the Project Operational Manual POM. The budget

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Input: the radius-buffered storm track polygon at its first coastal intersection. **3. Aggregate Results** **3.1 Trend in Cyclonic Storm Incidence, 1877-2016** Although we focus on the northern coast of the Bay of Bengal, our database includes all recorded tracks for the Bay of Bengal and Arabian Sea. This provides a very large regional sample: 525 cyclonic storms recorded from 1877 to 2016. For a trend analysis, we divide the data into seven periods: 1877-1900, 1901-1920, 1921-1940, 1941-1960, 1961-1980, 1981-2000 and 2001 2016. Table 1 and Figure 1 provide two trend measures for cyclonic storm frequencies since 1877: storms/year for each period, and the two-period moving average of storms/year. The first measure displays no trend through 1960, a large increase during the period 1961-1980, and a decline from 3 Some storm tracks that approach at oblique angles intersect the coastline two or more times. 5

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Input: Despite the possible gains in wages for wage earners, we note a decrease in the regionally deflated total household expenditure (column 5), and a decrease in per capita expenditure on food and nonfood items (column 4). The increase in wages but decrease in total expenditure can possibly be explained by rising prices and wages in mining communities, where everyone has to pay the higher prices but only some (those who earn wages), benefit from a rise in wage rate. Columns 6 through 9 of table 12 look at nondeflated expenditure measures for food, housing, health and education, and household energy. [17] We confirm that total household expenditure on food decreases (compared with the per capita deflated measure in column (4)), but find that households spend more money on housing, transport, and communication, and household energy, such as electricity and gas. The electricity and gas expenditure is only for those who have any positive expenditure on these, and we saw earlier that electricity access changes with the mine. This confirms that, among those who spend anything on electricity, they spend more on it in mining communities. **Table 12 Using GLSS: Household income and expenditure** (1) (2) (3) (4) (5) (6) (7)

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Input: data section for details. 11 The IPCC’s Fourth Assessment Report (AR4) projects increased SLR between 0.18m and 0.59m across various emission scenarios over the next 100 years. However, this range has been criticized by many experts as being too conservative and not sufficiently reflective of the large uncertainty pertaining to SLR (Krabill _et al_ ., 2004; Overpeck _et al_ ., 2006; Rahmstorf, 2007). The most recent evidence suggests that sea-level rise could reach 1 meter or more during this century (Hansen and Sato, 2011; Vermeer and Rahmstorf 2009; Pfeffer et al., 2008). The IPCC itself pointed out that its projections did not include changes within the polar ice sheets. The IPCC noted that the upper values of projected sea level rise presented in its report are not to be considered upper bounds and that higher rises in sea level cannot be ruled out. 12 These being the five regions used by the World Bank: East Asia and Pacific, Middle East and North Africa, Latin America and Caribbean, South Asia, and Sub-Saharan Africa 4

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Input: the efficiency of disbursement to communities, address payment delays, and improve the timeliness of financial reporting and accountability; (b) MoF and BoU are strengthening internal control mechanisms around TSA payments to ensure the correct beneficiaries are paid; and (c) MoFPED has set up regional centers for local governments to go to if they face network problems and unstable electricity to use the IFMIS to account for project funds. MoFPED has also provided budget to local governments to purchase fuel for generators to manage power cuts. The IFMIS, the use of a consolidated fund, and payments to beneficiaries using the TSA at BoU have significantly enhanced accountability at the local government level. This is reflected in the Auditor General’s report for 2022/23 and 2023/24, where all 22 local governments involved in project implementation had an unqualified (clean) audit opinion except for Ntoroko district, which had a qualified opinion. [24] Accountability measures for all implementing entities, including community-based organizations and seed grants for VRFs, will be described in the FM section of the PIM. The PIM will also include a Community Operations Manual that will detail all steps in the CDD process, including accountability arrangements. 75. **Audit** . The project will have

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Input: **2024 CRITICAL FUNDING NEEDS IN EUROPE** ###### **South Eastern Europe** As of June 2024, some 3,000 refugees and asylum-seekers were present in South Eastern Europe, including 199 unaccompanied and separated children. [5] UNHCR’s [Strategy for engagement in mixed](https://reliefweb.int/report/world/strategy-unhcr-engagement-mixed-movement-western-balkans-revision-october-2021) [movements in the Western Balkans sets a foundation to work with partners to strengthen asylum systems](https://reliefweb.int/report/world/strategy-unhcr-engagement-mixed-movement-western-balkans-revision-october-2021) and identify viable solutions for refugees, as well as to eradicate statelessness, while fostering opportunities for integration and inclusion for those granted international protection. UNHCR is helping to build the capacities of local authorities to gradually assume greater responsibility for their asylum systems, while also improving protection-sensitive migration management across the region, including recognising the importance of effective return mechanisms for those not in need of international protection. **Funding is needed to support these efforts and ensure sustainable programming** for integration and inclusion, and to identify durable solutions for refugees, asylum-seekers and stateless people in the region – which is itself a region of emigration. # 30.7 % 5 Non-Ukrainian nationals; of these, 52 per cent were in Bosnia and Herzegovina; 25 per cent in Serbia; 7 per cent in Kosovo; 6 per cent each in Albania and Montenegro; and 4 per cent in North Macedonia.

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Input: which calls for systematic mainstreaming of adaptation measures in project design and implementation. Jya Mbere II will also align with the GoR’s National Adaptation Plan of Action (2006), Third National Communications to the United Nations Climate Change Conference in 2018 and its Updated Nationally-Determined Contributions (NDC) 2020, in which it commits to mainstream environmental sustainability and climate change adaptation efforts. Rwanda’s Updated NDC includes a conditional commitment to reduce greenhouse gas (GHG) emissions by 16 percent by 2030 relative to a business as usual (BAU) scenario, and an unconditional commitment to reduce GHG by an additional 22 percent by 2030 relative to the BAU scenario. The project does not hinder this mitigation goal by ensuring that all infrastructure subprojects will be subject to climate risk assessments and will comply with climate-resilient standards. Finally, the project will support implementation of key recommendations from the 2022 Rwanda Country Climate and Development Report, such as investing in the water sector (including flood control and water storage), renewable energy sources and climate-smart agriculture. The results framework will track the number of infrastructure subprojects constructed/upgraded to climate-resilient standards. 71. _Assessment and reduction of mitigation risks_ . The project (Component 1) will invest in infrastructure, including

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Input: assessments, which will include (a) participatory focus groups and (b) semi-structured interviews with refugees and former refugees, host community members, farmers, cooperatives, and agribusinesses. Citizen engagement outcomes will be assessed through the indicator “Stakeholder consultations convened, and priority measures identified”. These beneficiary assessments will help assess the relevance and impact of project interventions. Each of the interventions will be assessed with respect to inclusion, productivity, climate resilience, jobs, incomes, and food security. 55. **The project’s M&E system will disaggregate results by gender and youth wherever possible and for refugee and** **host communities.** This will ensure that differential impacts on vulnerable groups are adequately recorded. **C. Sustainability** 56. **Investing in policy reform and legal identity for refugees will play a massive role in supporting long-term,** **sustained self-reliance for refugees and former refugees.** The project is aligned with the country’s National Refugee Policy and settlement modernization strategy, both of which seek long-term solutions to inclusion and self-reliance. The GRZ is actively promoting integration between refugees and local communities for economic advancement and is seeking enhanced partnerships with local stakeholders and international partners in addressing the issue of forced displacement. 57. **Appropriately assessing the sustainability risk of investment operations in refugee settlements in

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