TY - BOOK ID - 84658576 TI - Benchmarking Structural Transformation Across the World AU - Dabla-Norris, Era. AU - Thomas, Alun. AU - Garcia-Verdu, Rodrigo. AU - Chen, Yingyuan. PY - 2013 SN - 1475562098 1484332431 1484335570 PB - Washington, D.C. : International Monetary Fund, DB - UniCat KW - Benchmarking (Management) KW - Benchmarks (Management) KW - Total quality management KW - Macroeconomics KW - Agribusiness KW - Industries: Manufacturing KW - Industries: Service KW - Industrialization KW - Manufacturing and Service Industries KW - Choice of Technology KW - Development Planning and Policy: Trade Policy KW - Factor Movement KW - Foreign Exchange Policy KW - Economic Growth and Aggregate Productivity: General KW - Industry Studies: Manufacturing: General KW - Agriculture: General KW - Industrial Organization and Macroeconomics: Industrial Structure and Structural Change KW - Industrial Price Indices KW - Industry Studies: Services: General KW - Personal Income, Wealth, and Their Distributions KW - Manufacturing industries KW - Agricultural economics KW - Economic growth KW - Manufacturing KW - Agricultural sector KW - Structural transformation KW - Services sector KW - Personal income KW - Economic sectors KW - National accounts KW - Agricultural industries KW - Economic development KW - Service industries KW - Income KW - China, People's Republic of UR - https://www.unicat.be/uniCat?func=search&query=sysid:84658576 AB - This paper documents stylized facts on the process of structural transformation around the world and empirically analyzes its determinants using data on real value added by sector of economic activity (agriculture, manufacturing and services) for a panel of 168 countries over the period 1970-2010. The analysis points to large differences in sector shares both across and within regions as well as for countries at similar levels of economic development. Using both linear and quantile regression methods, it finds that a large proportion of the cross-country variation in sector shares can be accounted for by country characteristics, such as real GDP per capita, demographic structure, and population size. It also finds that policy and insitutional variables, such as product market reforms, openness to trade, human and physical capital, and finance improve the baseline model’s ability to account for the variation in sectoral shares across countries. ER -