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2020年全球社会流动性指数:如何通过消除不平等推动经济体发展(英文版).pdf

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2020年全球社会流动性指数:如何通过消除不平等推动经济体发展(英文版).pdf

Insight ReportPlatform for Shaping the Future of the New Economy and SocietyThe Global Social Mobility Report 2020 Equality, Opportunity and a New Economic Imperative January 2020World Economic Forum 91-93 route de la CapiteCH-1223 Cologny/GenevaSwitzerlandTel.: +41 (0)22 869 1212Fax: +41 (0)22 786 2744E-mail: contactweforumweforumCopyright © 2020by the World Economic ForumAll rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, or otherwise without the prior permission of the World Economic Forum.ISBN-13: 978-2-940631-05-6The Report is available at: 3.weforum/docs/Global_Social_Mobility_Report.pdfThe analysis presented in The Global Social Mobility Report 2020 (herein: “Report”) is based on a methodology integrating the latest statistics from international organizations and a survey of executives.The findings, interpretations and conclusions expressed in this work do not necessarily reflect the views of the World Economic Forum. The Report presents information and data that were compiled and/or collected by the World Economic Forum (all information and data referred herein as “Data”). Data in this Report is subject to change without notice. The terms country and nation as used in this Report do not in all cases refer to a territorial entity that is a state as understood by international law and practice. The terms cover well-defined, geographically self-contained economic areas that may not be states but for which statistical data are maintained on a separate and independent basis. Although the World Economic Forum takes every reasonable step to ensure that the Data thus compiled and/or collected is accurately reflected in this Report, the World Economic Forum, its agents, officers and employees: (i) provide the Data “as is, as available” and without warranty of any kind, either express or implied, including, without limitation, warranties of merchantability, fitness for a particular purpose and non-infringement; (ii) make no representations, express or implied, as to the accuracy of the Data contained in this Report or its suitability for any particular purpose; (iii) accept no liability for any use of the said Data or reliance placed on it, in particular, for any interpretation, decisions, or actions based on the Data in this Report. Other parties may have ownership interests in some of the Data contained in this Report. The World Economic Forum in no way represents or warrants that it owns or controls all rights in all Data, and the World Economic Forum will not be liable to users for any claims brought against users by third parties in connection with their use of any Data. The World Economic Forum, its agents, officers and employees do not endorse or in any respect warrant any third-party products or services by virtue of any Data, material or content referred to or included in this Report. Users shall not infringe upon the integrity of the Data and in particular shall refrain from any act of alteration of the Data that intentionally affects its nature or accuracy. If the Data is materially transformed by the user, this must be stated explicitly along with the required source citation. For Data compiled by parties other than the World Economic Forum, users must refer to these parties terms of use, in particular concerning the attribution, distribution, and reproduction of the Data. When Data for which the World Economic Forum is the source (herein “World Economic Forum”), is distributed or reproduced, it must appear accurately and be attributed to the World Economic Forum. This source attribution requirement is attached to any use of Data, whether obtained directly from the World Economic Forum or from a user. Users who make World Economic Forum Data available to other users through any type of distribution or download environment agree to make reasonable efforts to communicate and promote compliance by their end users with these terms. Users who intend to sell World Economic Forum Data as part of a database or as a stand-alone product must first obtain the permission from the World Economic Forum (CNESweforum).Terms of use and disclaimerContentsPreface _ 4Key Findings _ 5Introduction: _ 8Social Mobility: What It Is and Why it Matters _ 9The Negative Impact of Low Social Mobility on Economic Growth, Inequality and Social Cohesion _ 11Structure of this Report _ 13Benchmarking Social Mobility: The Global Social Mobility Index _ 14Conceptual Framework _ 14Pillar 1: Health _ 15Pillars 24: Education Access, Quality and Equity _ 16Pillar 5: Technology Access _ 16Pillars 68: Fair Work Opportunities _ 17Pillars 910: Social Protection education, skills and work; and equality and inclusion. We invite more leaders to join us to co-shape new solutions to the challenges highlighted in this report, working together with the urgency and ambition that the current context demands of us.On behalf of the Forum, I want to express my gratitude to the core project team involved in the production of this report: Thierry Geiger, Guillaume Hingel, Vesselina Ratcheva, Saadia Zahidi, as well as other colleagues from the Platform for Shaping the Future of the New Economy and Society. My gratitude also goes to the experts consulted in the course of this project, as well as LinkedIn, Burning Glass Technologies and ADP LLC for providing unique data sets and expertise to create this report. The Global Social Mobility Report 2020 is designed to help policy-makers, business leaders and other stakeholders shape their socio-economic strategies in the era of the Fourth Industrial Revolution. We hope it will also serve as a call to action to engage in the visionary and bold leadership required to build a new social mobility agenda for growing, sustainable and inclusive economies that provide opportunity for all. Klaus Schwab 5Key FindingsThe World Economic Forums Global Social Mobility Index provides a new, holistic assessment of 82 global economies according to their performance on five key dimensions of social mobility distributed over 10 pillars: 1. Health; 2. Education (access, quality and equity, lifelong learning); 3. Technology; 4. Work (opportunities, wages, conditions); 5. Protection and Institutions (social protection and inclusive institutions).Economies with greater social mobility provide more equally shared opportunitiesnamely, an equal and meritocratic footing irrespective of socio-economic background, geographic location, gender or origin. There is a direct and linear relationship between a countrys income inequality and its social mobility score on the index. Low social mobility entrenches historical inequalities and higher income inequalities fuel lower social mobility. Enhancing social mobility can convert this vicious cycle into a virtuous one and has positive benefits on broader economic growth. The Global Social Mobility Index equips policy-makers with a tool to identify areas for improving social mobility and promoting equally shared opportunities for the entirety of their citizens, regardless of their development stage. The index is supplemented by a deep dive into the situation in the United States, through innovative metrics developed in partnership between the World Economic Forum and three private sector companies which hold unique data sets and provide new insights into the distribution of advantages and disadvantages across the population. Key findings include:Global momentum is needed on tackling inequality through a new social mobility agenda. The Global Social Mobility Index shows that very few economies have the right conditions to foster social mobility and consequently income inequalities have become entrenched. On average, across key developed and developing economies, the top 10% of earners have nearly 3.5 times the income of the bottom 40%.The Nordics and parts of Europe outperform the rest of the world. The countries that provide their populations with most equally shared opportunities are mostly Nordic economies: Finland, Norway, Sweden, Denmark and Iceland. Among the 82 economies ranked by our index, Germany ranks 11th, France ranks 12th, Canada ranks 14th, Australia ranks 16th, Japan ranks 15th, the United Kingdom ranks 21st, the United States ranks 27th, the Russian Federation ranks 39th, China ranks 45th , Saudi Arabia ranks 52nd, Turkey ranks 64th, Mexico ranks 58th, India ranks 76th and South Africa ranks 77th. Low wages, lack of social protection and poor lifelong learning systems are the greatest challenges globally. Most countries underperform on three critical dimensions. The average score of the Fair Wages pillar is 52.5 out of 100, the lowest average among all pillars of the index, with these results underscored by particularly poor performance in prevalence of low pay. The average score of the Social Protection pillar is 58.2 out of 100, which highlights deficiencies in coverage and limited funding of social safety mechanisms across countries covered in our ranking. The average score of the Lifelong Learning pillar is 57.0, underscored by a relatively low percentage of firms offering formal training and poor access to training for unemployed workers.The economic and social returns from investing in the right mix of social mobility factors are substantial. If countries included in this report were to increase their social mobility index score by 10 points, this would result in an additional GDP growth of 4.41% by 2030 in addition to vast social cohesion benefits. The existence of pockets of over- and under-performance in each region suggests that there is little determinism across regional and income groups. Proactive efforts by government and business can enhance the ability of economies to foster social mobility and ensure that every child, young person and adult has a reason to believe in the prospect of a better future. Countries that adhere to the “stakeholder capitalism” model tend to perform better than countries with a focus on “shareholder value maximization” or “state capitalism”. A new financing model for social mobility is necessary through taxation but must be complemented by a new mix of spending and tailored approaches. Many policies designed to address social mobility require both additional public resources through taxation and a different mix of public spending on the key drivers of social mobility. Fiscal policy can maximize the impact of redistribution through careful design of how resources are allocated to different groups, geographical areas and types of spending. Improving tax progressivity on personal income, policies that address wealth accumulation and broadly re-balancing the sources of taxation can support the social mobility agenda.6Improving access to education opportunities throughout an individuals life is a critical factor for all economies. Education is a powerful equalizer of chances. Ensuring that individuals have equal opportunities to access the best schools is essential to reviving social mobility. In addition to a new focus on the availability, quality and distribution of education programmes aimed at disadvantaged children and youth, there is an urgent need for a wholly new agenda around promoting and financing skills development throughout workers careers due to technology-driven disruption to jobs and skills.Forging a new social contract that provides adequate social protection beyond full-time employment contracts is important across economies. In addition to existing self-employment, as globalization and digitalization continue to reshape work, workers and employers are entering into more flexible work relationships. A new policy agenda aimed at creating holistic protections and support for all individuals irrespective of their status in employment is urgently needed. Businesses must be a core stakeholder in the efforts around social mobility for their own employees, workers in their value chains and their communities broadly. Companies can contribute to improving social mobility by a set of inter-connected priorities: a focus on promoting a culture of meritocracy in hiring; active participation in vocational and technical education programmes; providing timely and comprehensive reskilling and upskilling curricula to employees; and paying fair wages that allow employees to meet their basic needs. A combination of technological change, economic trends and talent demand is changing income inequality outcomes within different industries. Metrics from ADP demonstrate the inequalities workers are likely to face on the basis of the industry in which theyre employed. The Media, Entertainment and Information (MEI) industry is the most unequal in the United States. The Financial Services (FS) industry is similarly unequal but has seen a reduction in those inequalities in the period between 2014 and 2018. In contrast, the MEI Industry and the Information and Communication Technologies industry have seen increasing inequalities between 2014 and 2018. Professional networks, an implicit driver of social mobility, are affected by geography and socio-economic background. LinkedIn data reveals that individuals in rural areas of the United States face more limited professional networks as do those who grew up in low-income households. The locations where individuals have the most diverse social network in the United States are urbanized states such as the District of Columbia, which houses the countrys capital Washington D.C. It is followed by Massachusetts, New York, Connecticut, New Jersey and California. At the opposite end of the scale are a set of less urbanized states, namely Kansas, West Virginia, Mississippi and Arkansas in ascending order.The geography of social mobility is in part determined by an individuals profession. Metrics from Burning Glass data reveal that different professionals employed in different occupations are more or less “rooted” in particular geographic locales. Higher paid and skilled professions are more likely to retain their value across different locations. Professionals such as Chief Executives, Dentists, Computer Research Scientist and Human Resources Managers are offered similarly (high) wages across different parts of the United States. On the other hand, Judges and Magistrates, Specialized Teachers, Transportation Workers, Gaming Managers and Agricultural Engineers fa

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