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Reskilling-China-Transforming-the-worlds-largest-workforce-into-lifelong-learners-Executive-Summary-FINAL.pdf?shouldIndex=f

Executive summary Reskilling China Transforming the world s largest workforce into lifelong learners January 2021 McKinsey Global Institute Since its founding in 1990, the McKinsey Global Institute (MGI) has sought to develop a deeper understanding of the evolving global economy. As the business and economics research arm of McKinsey & Company, MGI aims to help leaders in the commercial, public, and social sectors understand trends and forces shaping the global economy. MGI research combines the McKinsey , scenario in which china , percent of the workforce , workforce could take reskilling , workers about two percent , workers have the skills , percent of all global , china and the world , china needs a skills , mckinsey global institute , mckinsey global institute china , china , global institute , 31-Jan-2021 auto-generated
Reskilling-China-Transforming-the-worlds-largest-workforce-into-lifelong-learners-Report-FINAL.pdf?shouldIndex=f

Reskilling China Transforming the world s largest workforce into lifelong learners January 2021 McKinsey Global Institute Since its founding in 1990, the McKinsey Global Institute (MGI) has sought to develop a deeper understanding of the evolving global economy. As the business and economics research arm of McKinsey & Company, MGI aims to help leaders in the commercial, public, and social sectors understand trends and forces shaping the global economy. MGI research combines the disciplines of ec McKinsey , workforce to be lifelong , china could have access , shift to different skills , people according to government , technology during the school , high value of social , percent of the average , students is the high , changes to these systems , companies on a national , percent of the figure , servi 31-Jan-2021 auto-generated
ProxyVoting-SecuritiesLending

Does Proxy Voting Affect the Supply and/or Demand for Securities Lending? Reena Aggarwal McDonough School of Business, Georgetown University aggarwal@georgetown.edu Jason Sturgess McDonough School of Business, Georgetown University jds224@georgetown.edu Pedro A. C. Saffi IESE Business School PSaffi@iese.edu October 2010 Abstract We use a comprehensive proprietary data set consisting of shares available to lend (supply), shares borrowed (demand), and loan fee to study the securities lending marke IHS Markit , increase around the record , supply is also low , firms with better governance , ownership and other firm , shares available to vote , increase before the record , firms with better corporate , ownership in a firm , votes associated with merger , increase in the utilization , vote is that sharehol 31-Jan-2021 auto-generated