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疫情后盈利增长的差异:来自微观数据的证据(英)2024
IMF· 2024-10-28 07:55
Investment Rating - The report does not explicitly provide an investment rating for the industry analyzed Core Insights - The report highlights a significant divergence in post-pandemic earnings growth across U.S. counties, with areas less impacted by the pandemic experiencing faster earnings growth [2][6] - Average earnings in counties with stronger labor markets were estimated to be 18 percent higher between April 2020 and December 2021 compared to those with weaker labor markets [6] - The findings suggest that labor market competition has led to increased earnings disparities across counties while compressing earnings among workers within stronger labor markets [8][9] Summary by Sections Introduction - The post-pandemic U.S. labor market saw rapid divergence in earnings growth, with counties experiencing lower earnings losses at the onset of COVID-19 showing faster earnings growth [6] - Average earnings increased by 35 percent in the top 10 percentile counties, while only a 5 percent rise was observed in the bottom 10 percentile counties between January 2020 and December 2021 [6] Data - The analysis utilizes a comprehensive employer-employee dataset from Homebase, covering 9 million workers across over 1 million establishments in the U.S. [6][10] - The dataset provides detailed information on wages and hours, allowing for a granular analysis of worker earnings [10] Key Findings - Earnings growth diverged across counties, with the top decile counties experiencing cumulative growth over 46.07 percent higher than the bottom decile from 2020 to 2021 [15] - Nonmanagerial workers experienced a cumulative earnings growth of 29.7 percentage points higher than managerial workers during the same period [17] - Workers in smaller firms saw average earnings increase to 131.3 percent of their 2019 level by December 2021, compared to 115.1 percent for those in larger firms [18] Labor Market Conditions - The report establishes a positive relationship between local labor market strength and post-pandemic earnings growth, with a one-standard-deviation increase in labor market strength leading to a 6 percent increase in hourly wages and an 18 percent increase in total earnings [26] - The analysis employs a shift-share method to assess the impact of labor market conditions on earnings growth, highlighting the importance of local labor market dynamics [22][26]
通货膨胀与劳动力市场:自下而上的视角(英)2024
IMF· 2024-10-28 07:55
Investment Rating - The report does not explicitly provide an investment rating for the industry analyzed. Core Insights - U.S. inflation surged in 2021-22, peaking at 9.0% in June 2022, and has since declined to 2.5% by August 2024, primarily due to a drop in goods inflation, while services inflation remains elevated [2][6] - The study highlights a significant relationship between service sector wage growth and services inflation, indicating that tight labor markets have a persistent effect on inflation dynamics [2][6][22] - Local labor market tightness accounted for an average of 68.7% of services inflation (excluding housing) between Q3 2022 and Q1 2023, emphasizing the importance of labor market conditions in inflationary pressures [6][16] Summary by Sections Introduction - The report discusses the dramatic rise and subsequent decline of U.S. inflation, with a focus on the divergence between goods and services inflation [6] - It emphasizes the role of the labor market in inflation dynamics, noting that tight labor markets contribute significantly to inflation above target levels [6] Data and Measurements - The analysis utilizes proprietary microdata from Homebase, covering detailed wage and hour information for nearly 9 million workers across 1 million U.S. firms, complemented by price data from the Bureau of Labor Statistics [11][12] - The focus is on services inflation excluding housing, as this sector is more labor-intensive and sensitive to wage growth [11][12] Empirical Approach - The report employs a local projection instrumental variable (LP-IV) approach to estimate the wage-price pass-through, capturing the relationship between local labor market tightness and inflation [13][14] - The vacancy-to-unemployment ratio is used as a measure of labor market tightness, reflecting the dynamics of the post-pandemic economy [7][14] Findings - The results indicate a strong pass-through from local labor market tightness to wage growth, with a one-log-point increase in the vacancy-to-unemployment ratio leading to a 27 percentage point increase in year-on-year service wage growth over a 10-month horizon [16] - A one-percentage-point increase in service sector wage growth corresponds to a 0.32-percentage-point increase in year-on-year services inflation, suggesting significant inflationary pressures from wage growth [16] - The findings highlight that local labor market tightness was a key driver of inflation, accounting for a substantial share of inflation across various Metropolitan Statistical Areas (MSAs) [16][22] Conclusion - The report concludes that persistent labor market tightness will continue to exert upward pressure on inflation, complicating efforts to achieve inflation targets [22]
韩国养老金改革的参数选择(英)2024
IMF· 2024-10-28 07:55
Investment Rating - The report does not explicitly provide an investment rating for the pension reform options in Korea. Core Insights - The aging population in Korea is projected to significantly challenge the financial sustainability of the public pension system, with public pension spending potentially increasing by 4% of GDP from 2020 to 2070, while contribution revenue remains largely constant [2][15]. - The report evaluates three main pension policy options to stabilize the public debt-to-GDP ratio: increasing the retirement age, raising social security contributions, and lowering the pension replacement rate. A combination of these adjustments is suggested to yield better results than using each policy in isolation [2][15]. Summary by Sections Introduction - Korea's demographic structure is rapidly changing due to lower fertility rates and increased life expectancy, leading to a higher old-age dependency ratio (OADR) [7][17]. - The OADR is expected to surpass that of Japan by around 2050, indicating a significant shift in the population age structure [17]. Demographic Changes and Pension Schemes - The Korean pension system is maturing, with pension spending increasing from 1.8% to 4.0% of GDP between 2009 and 2022, and projected to rise further due to demographic changes [9][29]. - The National Pension Scheme (NPS) is expected to go into deficit by 2041 and deplete its assets by 2055, despite previous reforms aimed at reducing replacement rates and increasing the retirement age [11][29]. Model and Results - The report utilizes a dynamic overlapping generation model to analyze the fiscal implications of aging and potential reforms [14][38]. - Under current policies, pension spending is projected to increase by 4 percentage points of GDP by 2070, while contribution revenue remains stable, leading to a projected increase in net public debt by nearly 180% of GDP by 2070 [15][55]. Reform Options - Various reform options are considered to stabilize pension deficits, including increasing contribution rates, raising the retirement age, and lowering the replacement rate. A significant increase in contribution rates could offset the upward pressure on public debt [57][59]. - The report highlights that raising the contribution rate by 13.8 percentage points could increase revenue by 7 percentage points of GDP by 2070, effectively countering the anticipated rise in pension spending [59].
报告的社会动荡指数:2024年9月更新(英)
IMF· 2024-10-28 07:55
Investment Rating - The report does not provide a specific investment rating for the industry [1]. Core Insights - The global incidence of social unrest has remained broadly stable over the past year, with significant events concentrated in Europe and sub-Saharan Africa, and to a lesser extent in the Western Hemisphere [2][5]. - The Reported Social Unrest Index (RSUI) is a measure developed to track social unrest events through media reports, covering approximately 130 countries [4][8]. - The frequency of global social unrest events has shown relative stability since mid-2023, contrasting with the increased unrest observed before and after the pandemic [5][6]. Summary by Sections 1. Introduction - The paper updates the RSUI, extending the dataset to July 2024, and reviews social unrest episodes over the last 13 months [4]. 2. Background: The Reported Social Unrest Index - The RSUI counts media mentions of unrest-related terms and is characterized by episodic spikes that correlate with major unrest events [9][10]. 3. Social Unrest since June 2023 3.1 Europe - Major unrest events occurred in France, Israel, and the Netherlands, with significant protests in Spain, Belgium, Poland, and Slovakia during this period [11]. 3.2 Sub-Saharan Africa - Notable events included a military coup in Niger, protests in Chad, and unrest in Senegal, Madagascar, and Kenya due to political tensions [13]. 3.3 Western Hemisphere - Ecuador experienced unrest due to political assassinations and gang violence, while Argentina saw large demonstrations related to a reform package [14]. 3.4 Rest of the World - Unrest events were also reported in Papua New Guinea, Pakistan, Georgia, Armenia, and Bangladesh, indicating a broader global trend [15].
高频货币政策冲击的新数据集(英)2024
IMF· 2024-10-28 07:55
Investment Rating - The report does not explicitly provide an investment rating for the industry analyzed Core Insights - The paper introduces a new dataset of high-frequency monetary policy shocks for 21 advanced economies and 8 emerging markets from 2000 to 2022, utilizing daily changes in interest rate swap rates around central bank announcements to identify unexpected monetary policy shocks [4][10] - A significant finding is that monetary policy decisions from small open economy central banks have substantial spillover effects on swap rates and bond yields in other countries, indicating that the impact of monetary policy is not limited to major central banks [4][16] Summary by Sections Introduction - The report discusses the reassessment of monetary policy effectiveness following the inflation surge post-COVID-19, emphasizing the need for identifying exogenous components of monetary policy [9][10] Data and Methodology - The dataset covers 29 countries, including 20 central banks, with a total of 3,545 monetary policy events, allowing for a comprehensive analysis of monetary policy shocks [19][20] - The methodology involves constructing monetary policy surprises using daily changes in interest rate swap rates around central bank announcements, ensuring consistency across countries [12][26] High-Frequency Impact of Monetary Policy Shocks - The report estimates the transmission of monetary policy to various interest rates and asset prices, highlighting the same-day effects of monetary policy announcements on sovereign bond yields and exchange rates [53][55] - It presents empirical results showing that a 100 basis point increase in monetary policy surprise significantly impacts sovereign bond yields in both advanced and emerging markets [56]
撒哈拉以南非洲利用可再生能源:障碍、改革和经济前景(英)2024
IMF· 2024-10-28 07:55
STAFF CLIMATE NOTES Harnessing Renewables in Sub-Saharan Africa: Barriers, Reforms, and Economic Prospects Kaihao Cai, Thibault Lemaire, Andrea Medici, Giovanni Melina, Gregor Schwerhoff, and Sneha Thube IMF STAFF CLIMATE NOTES 2024/005 ©2024 International Monetary Fund Harnessing Renewables in Sub-Saharan Africa: Barriers, Reforms, and Economic Prospects IMF Staff Climate Notes 2024/005 Kaihao Cai, Thibault Lemaire, Andrea Medici, Giovanni Melina, Gregor Schwerhoff, and Sneha Thube* DISCLAIMER: The IMF Sta ...
在全球竞争加剧的情况下,欧洲转向电动汽车(英)2024
IMF· 2024-10-28 07:50
Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The European Union (EU) aims for a significant transition to electric vehicles (EVs) to meet climate goals, with targets for CO2 emissions reductions from cars and vans set for 2030 to 2035 [7][3] - The shift towards EVs is influenced by the increasing dominance of Chinese manufacturers in the global EV market, which poses competitive challenges for the EU automotive sector [3][10] - The report analyzes the macroeconomic implications of this transition, indicating that the short-term GDP cost for the EU is relatively small, estimated at 0.2-0.3 percent, while long-term impacts are close to zero [3][17] Summary by Sections Introduction - The EU has set ambitious climate goals, including a rapid transition to EVs, with regulations requiring significant reductions in CO2 emissions from new vehicles [7][3] - Current EV sales in the EU are around 15 percent, with a target of 65 percent by 2030 and 100 percent by 2035 [7][3] Historical Context - The report draws parallels between Japan's rise in the automotive sector during the 1960s-1980s and China's current position in the EV market, suggesting that China's market penetration could occur at a faster rate [13][28] Model Specification and Scenarios - The report employs two models: the GIMF-GVC model for short- to medium-term dynamics and a dynamic quantitative trade model for long-run effects [30][34] - The models simulate the impacts of the dual shocks of the EV transition and increased Chinese EV imports on the EU economy [12][30] Simulation Results - The report finds that the transition to EVs will have varying impacts across EU countries, with significant losses for smaller economies reliant on the automotive sector, such as Hungary and Czechia [17][10] - Protectionist policies, such as tariffs on Chinese EVs, would exacerbate GDP losses, while increased Chinese foreign direct investment (FDI) in Europe could mitigate some negative impacts [17][10] Climate Implications - The transition to EVs is expected to have positive climate implications, but the report emphasizes the need for policies to support affected workers and regions during the transition [17][19] Conclusion - The report concludes that while the transition to EVs presents challenges, with appropriate policies, the economic impacts can be managed, and the long-term benefits of the green transition outweigh the costs of inaction [19][18]
央行数字货币与金融稳定:资产负债表分析与政策选择(英)2024
IMF· 2024-10-28 07:50
Investment Rating - The report does not explicitly provide an investment rating for the industry under analysis Core Insights - The issuance of retail central bank digital currencies (CBDCs) has significant implications for financial stability, which depend on the size of issuance, initial conditions, and banking sector reactions [13][25] - Adverse effects on financial stability can arise primarily when CBDCs replace deposits rather than cash, particularly if banks do not hold excess reserves [15][30] - The design of CBDCs is crucial; features that promote their use as a means of payment rather than a store of value can mitigate risks [21][33] Summary by Sections Executive Summary - The paper evaluates the financial stability implications of issuing retail CBDCs and emphasizes the need for policy measures to mitigate potential adverse impacts [13][25] Potential Benefits of Retail CBDC - CBDCs can reduce cash handling costs, foster financial inclusion, improve payment infrastructure, maintain monetary sovereignty, and reduce risks from private stablecoins [39][43][44] CBDC Issuance Scenarios - The report outlines various scenarios for CBDC issuance and their impact on financial sector balance sheets, highlighting that the effects depend on the amount of CBDC issued and the existing balance sheet conditions [52][54] Policy Options to Mitigate Adverse Effects - Central banks can employ macroprudential policies, expand lending operations, and design CBDCs to minimize financial stability risks [17][32][35]
促进绿色外国直接投资的政策:新兴市场和发展中经济体的最佳实践(英)2024
IMF· 2024-10-28 07:50
Investment Rating - The report does not explicitly provide an investment rating for the industry but emphasizes the importance of climate policies in attracting green foreign direct investment (FDI) in emerging markets and developing economies (EMDEs) [5][6][17]. Core Insights - The report highlights that achieving COP28 goals necessitates a doubling of clean energy investment globally by 2030, requiring an additional $600 billion in EMDEs excluding China [5][9]. - It identifies that foreign direct investment (FDI) is crucial for EMDEs to bridge the renewable energy investment gap and finance green projects, especially in the context of low fiscal space and constrained domestic investors [5][6]. - The analysis indicates that a greater number of climate policies correlates with higher FDI flows into renewable energy, particularly in countries with solar potential and low fossil fuel dependence [6][17]. - The report notes that while climate policies positively influence green FDI in renewable energy, they do not show a significant relationship with FDI in electric vehicles (EVs) and green hydrogen [6][39]. Summary by Sections Green FDI and Climate Policies - Green FDI has accelerated since 2016, tripling as a share of global GDP from 2014 to 2022, with inflows increasing from approximately $40 billion in 2014 to over $200 billion in 2022 [26][28]. - The report emphasizes that investments in renewable energy have remained stable, while those in EVs and green hydrogen have surged recently [28][29]. Econometric Evidence - The econometric analysis shows that closing the climate policy gap between EMDEs and advanced economies (AEs) could triple the green FDI to GDP ratio in EMDEs and close 40% of the private renewable investment gap [6][17][36]. - The findings suggest that while climate policies are associated with increased green FDI, they do not adversely affect non-green FDI inflows [36][39]. Country-Specific Experiences - Successful countries in attracting green FDI in renewable energy have implemented a diverse set of climate policies and adapted their energy frameworks to technological changes [8][21]. - For EVs, countries with prior automobile manufacturing experience and national sectoral strategies have seen higher FDI inflows [22][23]. - In the case of green hydrogen, comprehensive national strategies and favorable renewable energy production conditions are key drivers of FDI [8][24]. Global Factors - The report discusses how global initiatives, such as the Just Energy Transition Partnership and EU strategies for green hydrogen, have positively impacted green FDI in EMDEs [24][25]. - It also highlights that geopolitical fragmentation may limit the ability of countries to attract green FDI, as investments are less likely between politically distant nations [20][44].
乌克兰:住宅物业价格指数(RPPI)技术援助报告访问团(2024年7月15日至19日)(英)
IMF· 2024-10-28 07:50
Investment Rating - The report does not explicitly provide an investment rating for the residential property market in Ukraine. Core Insights - The authorities in Ukraine are committed to improving the House Price Index (HPI) to enhance transparency in the real estate market and strengthen systemic risk analysis [5][10] - A technical assistance mission was conducted to develop new processes for compiling the HPI, focusing on data cleaning and capacity building for staff [4][18] - The national HPI for Ukraine shows a price change of approximately 15% over six quarters from Q1 2023 to Q2 2024 [11] Summary by Sections Summary of Mission Outcomes and Priority Recommendations - A technical assistance mission took place from July 15-19, 2024, to assist Ukrainian authorities in developing new methods for HPI compilation [4] - The mission aimed to enhance data processing capabilities and improve the accuracy of property price indices [5][6] Data Sources - The SSSU currently uses data from real estate agents and the OLX platform for compiling the HPI [19] - OLX has agreed to provide data directly to the SSSU on a quarterly basis, which will improve data availability [19] Compilation Methods - The SSSU has implemented improved methods for HPI calculation, including the use of list prices and hedonic methods for quality adjustment [34] - A new stratification of data based on NUTS regional classification has been developed, enhancing the relevance of the data [36] Recommendations - The report outlines several priority recommendations, including upskilling staff in the R statistical package and automating data processing tasks [12][33] - It is recommended to extend data coverage to include houses and gather more detailed location information for properties [32][33]