Public Disclosure Authorized Public Disclosure Authorized $)UDPHZRUNIRU 8QGHUVWDQGLQJ DQG0HDVXULQJ 5HVLOLHQFH 6RFLDO6XVWDLQDELOLW\DQG,QFOXVLRQ*OREDO3UDFWLFH 3DWULFN%DUURQ -RVH&XHVWD -DQD(O+RUU -XOLHWWH:LOVRQ $8*867 Public Disclosure Authorized Public Disclosure Authorized © 7KH :RUOG %DQN + 6WUHHW 1: :DVKLQJWRQ '& 7HOHSKRQH ,QWHUQHW ZZZZRUOGEDQNRUJ $ERXW WKH 6RFLDO 'HYHORSPHQW 3XEOLFDWLRQV 6HULHV 7KLV SDSHU LV SDUW RI WKH 6RFLDO 'HYHORSPHQW 3XEOLFDWLRQV 6'3 6HULHV 7KH 6'3 VHULHV LV IRFXVHG RQ GLVVHPLQDWLQJ ...

Industry Investment Rating - The report does not provide a specific investment rating for the industry, but it highlights significant economic losses and damage across multiple sectors due to the ongoing conflict in Lebanon [23][24] Core Findings - The conflict has caused at least $3.4 billion in physical damage and $5.1 billion in economic losses as of the assessment cut-off dates [24] - Lebanon's real GDP growth for 2024 is estimated to be cut by at least 6.6% due to the conflict, compounding a 34% contraction in real GDP over the past five years [24] - The housing sector accounts for 82% of the total damage, with $2.8 billion in damages and $389 million in losses [26][28] - The agriculture sector has suffered $124 million in damage and $1.1 billion in losses, primarily due to lost harvests and displacement of farmers [26][50] - The tourism and hospitality sector has incurred $18 million in damage but faces $1.1 billion in losses due to reduced tourist arrivals and hotel occupancy [26][66] Sectoral Assessment Findings Agriculture - Damage is estimated at $124 million, with 12-month losses of $1.1 billion, driven by lost harvests and displacement of farmers [50] - Key crops such as bananas, olives, and citrus have been severely impacted, with losses estimated at $353 million, $58 million, and $16 million respectively [51] - Livestock has also been significantly affected, with $99 million in damage and $533 million in losses [51] Commerce - Damage to the commerce sector is estimated at $178 million, with 12-month losses of $1.7 billion [52] - Approximately 11% of establishments in conflict-affected areas have been damaged, with the highest costs in southern districts [54] Education - The education sector faces $215 million in losses, primarily due to lost private school tuition payments and the costs of setting up temporary learning spaces [55] - Around 150,000 public and 300,000 private school students have been displaced, with many schools repurposed as shelters [57] Environment - Damage to the environment sector is estimated at $221 million, with 12-month losses of $214 million [58] - The conflict has severely damaged Lebanon's natural resources, affecting 13% of forests, 16% of grasslands, and 17% of riverine ecosystems [59] Health - The health sector has suffered $74 million in damage, with 12-month losses estimated at $338 million [60] - Approximately 66% of hospitals and 36% of primary healthcare centers in the assessed areas have been damaged, leading to reduced service availability [62] Housing - The housing sector has incurred $2.8 billion in damage, with 99,209 housing units partially or fully damaged [63] - Economic losses in the housing sector are estimated at $389 million, including lost rental revenue and wage income for domestic workers [64] Tourism and Hospitality - Damage to the tourism and hospitality sector is estimated at $18 million, with 12-month losses of $1.1 billion [66] - Tourist arrivals have dropped by 75%, and hotel occupancy rates have fallen below 10%, severely impacting the sector [68] Macroeconomic Analysis - The conflict has significantly impacted Lebanon's economy, with real GDP projected to contract by at least 5.7% in 2024 [40] - Private consumption, which accounted for 134% of GDP in 2023, has declined sharply, further slowing economic activity [40] - The tourism sector, a key economic pillar, has been particularly hard hit, with major losses in service exports [40] Displacement and Social Impact - Over 875,000 people have been internally displaced, with women, children, and the elderly particularly at risk [44] - Approximately 166,000 individuals are estimated to have lost their employment, corresponding to a reduction in earnings of up to $168 million per year [44] - The conflict has exacerbated food insecurity, with only 40,000 tons of wheat available as of November 2024, equivalent to 1.3 months' worth of consumption [46]

Investment Rating - The report does not explicitly provide an investment rating for the industry. Core Insights - The 2022 Colombian Tax Reform mandated the National Tax and Customs Authority (DIAN) to conduct gender-focused studies, leading to the establishment of institutional structures and strategies for sex-disaggregation in tax data [8][20]. - DIAN's experience in sex-disaggregating tax data aims to offer lessons for other revenue administrations and government agencies [8][20]. - The report highlights the importance of integrating gender analysis into tax policies to promote inclusive economic growth and sustainable development [6][8]. Summary by Sections 1. Tax Data Disaggregation - DIAN has faced limitations in integrating gender-focused analysis into tax data, collaborating with the National Civil Registry to identify taxpayer sex under a restrictive information agreement [9][10]. - The latest strategy for disaggregating personal income tax data by sex involved merging taxpayer and pension data, using ID number rules, and applying a name-based algorithm [10][11]. 2. Data Disaggregation by Gender Identity - Since 2022, DIAN has invited taxpayers to voluntarily report their sex in four categories (male, female, non-binary, transgender) in tax returns, with about 1 million individuals declaring their sex in 2023 [13][14]. - The self-declaration option has been discontinued due to sensitivity concerns, and DIAN now retrieves this data from identity documents in the National Civil Registry [13][50]. 3. Lessons Learned - Key lessons from DIAN's experience include the importance of legal mandates, competent technical staff, and inter-agency collaboration for effective data sharing [16][79]. - Challenges include low completion rates for self-reported sex and discomfort among taxpayers when asked about their sex during registration [16][80]. 4. Methodologies and Institutional Strategies - DIAN's disaggregation efforts evolved through various phases, with significant legal reforms and the establishment of working groups to handle data disaggregation [28][51]. - The report outlines a three-step process for disaggregating tax data, including merging databases and applying algorithms for sex classification [38][39]. 5. Use of Disaggregated Data - The sex-disaggregated data is utilized for internal analysis and policy evaluation, providing insights into gender differences in income distribution and tax burdens [59][60]. - Future analyses will focus on additional tax regimes and factors such as marital status and age to enrich understanding of tax data by sex [65][66].

i From Knowledge to Action Lessons from early operationalization of Country Climate and Development Reports Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized © 2024 The World Bank Group 1818 H Street NW, Washington, DC 20433 Telephone: 202-473-1000; Internet: www.worldbank.org This work is a product of the staff of The World Bank Group. "The World Bank Group" refers to the legally separate organizations of the International Bank for Reconstru ...

Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Sectoral Recovery Capacity Assessment Report for Grenada's Housing Sector Public Disclosure Authorized LD BANK © 2023 International Bank for Reconstruction and Development / The World Bank 1818 H Street NW, Washington, DC 20433 Telephone: +1-202-473-1000; Internet: www.worldbank.org Some rights reserved. This work is a product of the staff of The World Bank and the Global Facility for Disaster Reduction and Recovery (GFDR ...

ARMENIA FIRMS' ADOPTION OF DIGITAL TECHNOLOGIES Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized ARMENIA FIRMS' ADOPTION OF DIGITAL TECHNOLOGIES Acknowledgments This report was produced as part of the Part II Europe 2020 Programmatic Single-Donor Trust Fund (No. TF073433) financed by the European Union and implemented by the World Bank. This report was written by Ipek Ceylan Oymak (Economist, IFC), Edgar Avalos (Consultant, WB), Francisco Ca ...

| --- | --- | |-------|-------| | | | | | | Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Acknowledgements The PNG Country Opinion Survey is part of the County Opinion Survey Program series of the World Bank Group. This report was prepared by the Business Intelligence (BI) team, led by José De Buerba (Senior External Affairs Officer) and Svetlana Markova (Senior External Affairs Officer). Yulia Danilina, Jessica Cameron, Nan Lin, and Sofy ...

| --- | --- | --- | |-----------------------------------------------|--------------------------------------------------|-------| | | | | | | | | | FY 2024 Namibia Country Opinion Survey Report | | | | | ECR Business Intelligence Team \| September 2024 | | Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Acknowledgements The Namibia Country Opinion Survey is part of the County Opinion Survey (COS) Program series of the World Bank Group. This ...

Early Experiences of Beneficiary Choice in Government-to-Person Payment Architecture in Indonesia Public Disclosure Authorized 1 Early Experiences of Beneficiary Choice in G2P Payment Architecture in Indonesia Early Experiences of Beneficiary Choice in Government-to-Person Payment Architecture in Indonesia G2P Rp Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized 2 Early Experiences of Beneficiary Choice in G2P Payment Architecture in IndonesiaThis work is a product of th ...

Executive Summary Recent GLOBAL DEVELOPMENTS Outlook & Risk EMPOWERING LGUS TO Build Human Capital 1.1 1.2 1.3 1.4 1.5 1.6 2.1 2.2 2.3 3.1 3.2 3.3 3.4 3.5 | --- | --- | --- | --- | --- | --- | --- | --- | |-------|-------|-------|--------------------------------|-------|-------|------------------------------------|-------| | | | | | | | | | | | | | | | | | | | | | | | | | PHILIPPINES ECONOMIC UPDATE | | | | | | FIRST STEPS MATTER: EMPOWERING | | | December 2024 Edition | | | | | | EARLY YEARS WORKERS TO BUI ...