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Olympics Journal 2024
Brand Finance· 2024-09-05 00:48
Brand Finance Journal global brand intelligence since 1996 september | 2024 Beyond the Podium The business of brands at the Olympic Games Brand Finance Journal 2024 Olympics | Contents Contents Brand Finance Journal 2024 Olympics FOREWORD 6 by Jamie Hyman, Editor-in-Chief, Global Head of Communications, Brand Finance INTRODUCTION 9 by Hugo Hensley, Head of Sport Services, Brand Finance WHAT THE RINGS ARE WORTH 10 Valuing the Olympics brand by Hugo Hensley, Head of Sport Services, Brand Finance REALISING THE ...
Argentina 10 2024
Brand Finance· 2024-09-05 00:48
Brand Finance® Argentina 102024 Informe de las marcas más valiosas y fuertes de Argentina Septiembre de 2024 Índice de Contenidos | --- | --- | |-------------------------------------------------------------------------------|-------| | | | | Sobre Brand Finance | 3 | | Prólogo 4 | | | David Haigh, Chairman & CEO, Brand Finance | | | Prólogo | 5 | | Pilar Alonso Ulloa, Managing Director Iberia (España, Portugal) y Sudamérica | | | Prólogo | 6 | | | | | Eduardo Chaves, Managing Director Brazil, Brand Finance ...
Breaking Barriers in Carbon Dioxide Removal with Electrochemistry
RMI· 2024-09-05 00:18
Breaking Barriers in Carbon Dioxide Removal with Electrochemistry Insight Brief / August 2024 Authors and Acknowledgments Authors Silvan Aeschlimann Charithea Charalambous Authors listed alphabetically. All authors are from RMI unless otherwise noted. Contributors Rudy Kahsar, Daniel Pike, Emily Rogers, Noah Shannon, Guy Wohl, and Isabel Wood All contributors from RMI unless otherwise noted. Contacts Silvan Aeschlimann, saeschlimann@rmi.org Charithea Charalambous, charithea.charalambous@rmi.org Copyrights a ...
Choosing Our Future
Shi Jie Yin Hang· 2024-09-04 23:03
Public Disclosure Authorized CHOOSING OUR FUTURE: Education for Climate Action Shwetlena Sabarwal, Sergio Venegas Marin, Marla Spivack, and Diego Ambasz Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized © 2024 International Bank for Reconstruction and Development/The World Bank 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 with external contributions. The findings, interpreta ...
How Redistributive Is Fiscal Policy in China? New Evidence on the Distributional Impacts of Taxes and Spending
Shi Jie Yin Hang· 2024-09-04 23:03
Investment Rating - The report does not explicitly provide an investment rating for the fiscal policy in China, but it indicates that there is significant room for improvement in the redistributive capacity of the fiscal system [17][18]. Core Insights - Fiscal policy in China effectively reduces inequality by approximately 10.3 Gini points, positioning China around the median of upper-middle-income countries in terms of redistribution achieved [17][18]. - The primary drivers of inequality reduction are in-kind benefits from education and health spending, while cash transfers play a smaller role [18]. - The report suggests enhancing the progressivity of the fiscal system by increasing revenues from progressive taxes and cash-based social benefits [18]. Summary by Sections Overview of Fiscal System - The fiscal system's redistributive power is influenced by its size and progressivity, with total fiscal revenue in China amounting to 26,197 billion RMB in 2018, representing 29.1% of GDP [20][22]. - Tax revenues account for nearly 60% of total revenue, with the largest components being value-added tax (VAT), corporate income tax, and personal income tax [20][22]. Revenue and Expenditure - Total public expenditure in 2018 was 22,090 billion RMB, or 24.5% of GDP, with social expenditure comprising about 37% of this total [32][35]. - Education and health expenditures are significant components of social spending, accounting for 14.6% and 7.1% of total expenditure, respectively [34][35]. Inequality and Redistribution - The analysis indicates that while the fiscal system reduces inequality, it also highlights the burden of user fees in health care, which may limit access for lower-income families [18]. - The report emphasizes the need for a more progressive tax structure to better address income inequality, particularly through personal income taxes and increased cash transfers [18]. Data and Methodology - The study utilizes data from the 2018 China Family Panel Study, combining household survey data with administrative sources to assess the impact of fiscal policy on inequality [40][41]. - The methodology follows the Commitment to Equity framework, allowing for a detailed analysis of how taxes and transfers affect household income distribution [41][42].
Generative künstliche Intelligenz in der öffentlichen Verwaltung – sieben Erfolgsfaktoren für eine flächendeckende Nutzung | Germany
麦肯锡· 2024-09-04 00:08
Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - Generative Artificial Intelligence (GenAI) has the potential to significantly enhance efficiency in public administration by automating tasks that currently consume 60-70% of employee time, such as content synthesis and citizen interaction [3] - The German government plans to invest €1.5 billion by 2025 to expand the AI sector and leverage its potential for employees and businesses [3][4] - Successful scaling of GenAI in public administration depends on seven key factors, including regulatory frameworks, centralized provision of solutions, and effective risk management [5][15] Summary by Sections Investment Rating - No specific investment rating provided in the report Core Insights - GenAI can close efficiency gaps and accelerate the digitalization process in public administration [3] - Current usage of GenAI in public administration is primarily through pilot projects, with a focus on creating acceptance and demonstrating effectiveness [3] - The true potential of GenAI lies in its scaled, widespread use across different authorities [3] Preconditions for Widespread Use of GenAI - A reliable regulatory framework is necessary for scaling GenAI applications in Germany, addressing data protection and quality assurance [5] - Transparency regarding data protection and security is essential for GenAI to be perceived as a reliable technology [7] Success Factors for Technical Scaling - Centralized provision of functional GenAI solutions can facilitate broader use in administrative organizations [8] - A unified governance structure for the widespread deployment of GenAI solutions is crucial [9] - Existing technical infrastructure must be expanded to support GenAI solutions effectively [10] Success Factors for Accelerated Scaling - Systematic development of skills and recruitment of GenAI talent is necessary for effective deployment [13] - Encouraging the exchange of GenAI solutions among different authorities can reduce redundancy and improve efficiency [14] - Establishing effective risk management practices is vital to identify and mitigate risks associated with GenAI usage [15][16]
Government Analytics in Europe
Shi Jie Yin Hang· 2024-09-03 23:03
Investment Rating - The report does not explicitly provide an investment rating for the industry. Core Insights - The report emphasizes the importance of government analytics in improving public administration by leveraging existing data to enhance effectiveness and efficiency [18][21][36]. - It highlights the significant potential for data-driven decision-making in public sectors across Europe, suggesting that better measurement leads to better outcomes [25][26]. - The report outlines the challenges faced by governments in adopting analytics, including data access issues and the complexity of public administration [27][38]. Summary by Sections Chapter 1: The Power of Measurement and Analytics for Better Public Administration - Government analytics is defined as the use of existing data to assess and improve public administration [18]. - The report argues that despite being data-rich, governments often fail to utilize data effectively for performance improvement [21][22]. - It stresses the need for careful measurement to inform decision-making and enhance public service delivery [24][25]. Chapter 2: Understanding Public Administration from Administrative Data - Governments are producing more data than ever, which can be repurposed for analytics to understand and improve their operations [23]. - The chapter discusses the importance of administrative data in providing insights into public administration performance [34]. Chapter 3: Understanding Public Administration from Surveys of Public Servants - Surveys of public servants can reveal insights into management quality and employee motivation, which are critical for effective public administration [30]. - The chapter emphasizes the role of employee feedback in assessing and improving public sector performance [29]. Chapter 4: Understanding Public Administration through Impact Evaluations - Impact evaluations are presented as a method to test and refine public policies and programs based on real-time data [36]. - The chapter discusses how these evaluations can lead to better policy choices and improved public administration outcomes [37]. Chapter 5: Understanding Public Administration from the Outside - The report highlights the importance of external data sources in understanding government outcomes and the relationship between public and private sectors [23]. - It discusses the need for a comprehensive approach to data analytics that includes both internal and external data [34]. Case Studies - The report includes case studies from Croatia, Estonia, Lithuania, and the Slovak Republic, illustrating the application of government analytics in different contexts [23]. - These examples demonstrate the successes and challenges of implementing analytics in public administration across various European countries [23].
Spilling Over
Shi Jie Yin Hang· 2024-09-03 23:03
Public Disclosure Authorized Public Disclosure Authorized Public Disclosure Authorized Policy Research Working Paper 10886 Spilling Over The Benefits of Public Works Projects for Groundwater in India A. Patrick Behrer Hemant Pullabhotla Development Economics Development Research Group September 2024 Public Disclosure Authorized Policy Research Working Paper 10886 Abstract Depletion of groundwater is a major challenge in India. This paper examines how a major rural public works program (Mahatma Gandhi Nation ...
How Redistributive Is Fiscal Policy in China?
World Bank Group· 2024-09-03 16:01
Fiscal Policy Effectiveness - China's fiscal policy effectively reduces inequality by approximately 10.3 Gini points, positioning it around the median of upper-middle-income countries in terms of redistribution achieved[15] - The analysis covers 63% of total revenues and 43% of total government spending, focusing on personal income tax, social insurance contributions, VAT, consumption tax, cash transfers, pensions, and education and health spending[14] Revenue and Expenditure Insights - Total fiscal revenue in China was 26,197 billion RMB (approximately 3,950 billion USD) in 2018, accounting for 29.1% of GDP[18] - Tax revenues constitute nearly 60% of total revenue, with VAT being the largest source, contributing 50% of total tax revenue[26] - Total public expenditure reached 22,090 billion RMB (24.5% of GDP), with social expenditure making up 36.9% of total expenditure[30] Social Spending and Inequality - China's spending on direct transfers is only 0.5% of GDP, the lowest among upper-middle-income countries, indicating a need for increased direct support to reduce inequality[33] - Education and health spending are the primary drivers of inequality reduction, but high user fees may limit access to essential services for low-income families[16] Recommendations for Improvement - The fiscal system could enhance its progressivity by increasing personal income tax rates and cash-based social benefits, thereby providing more support to those in need[16] - There is significant room for improvement in the overall redistributive capacity of the fiscal system, particularly through more effective use of progressive taxation[15]
The Beige Book—— Summary of Commentary on Current Economic Conditions by Federal Reserve District August 2024
美联储· 2024-09-03 16:00
Economic Activity - Economic activity grew slightly in three Districts, while nine Districts reported flat or declining activity, up from five in the previous period[8] - Consumer spending declined in most Districts, with auto sales varying significantly due to high interest rates and vehicle prices[8] - Manufacturing activity declined in most Districts, with two Districts noting ongoing contractions in the sector[8] Labor Markets - Employment levels were generally flat, with five Districts reporting slight increases, while some firms reduced hours or left positions unfilled[9] - Wage growth was modest, with skilled tradespeople seeing stronger increases due to continued shortages[9] - Competition for workers eased, leading to longer job search times for candidates[9] Prices and Costs - Prices increased modestly, with three Districts reporting only slight increases in selling prices[10] - Nonlabor input costs rose modestly, with some Districts noting moderation in cost pressures for food and construction materials[10] - Contacts generally expected price and cost pressures to stabilize or ease further in the coming months[10] Regional Highlights - Boston reported mixed economic activity, with strong single-family home sales but softer retail and restaurant sales[11] - New York's economic activity remained flat, with stable consumer spending and solid housing markets[12] - Philadelphia experienced a slight decline in business activity, with modest wage growth and flat nonmanufacturing activity[13]