Benchmarking Structural Transformation Across the World

By Era Dabla-Norris, Alun H. Thomas, Rodrigo Garcia-Verdu, Yingyuan Chen

July 31, 2013

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Era Dabla-Norris, Alun H. Thomas, Rodrigo Garcia-Verdu, and Yingyuan Chen. Benchmarking Structural Transformation Across the World, (USA: International Monetary Fund, 2013) accessed September 19, 2024

Disclaimer: This Working Paper should not be reported as representing the views of the IMF.The views expressed in this Working Paper are those of the author(s) and do not necessarily represent those of the IMF or IMF policy. Working Papers describe research in progress by the author(s) and are published to elicit comments and to further debate

Summary

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.

Subject: Agricultural sector, Economic growth, Economic sectors, Manufacturing, National accounts, Personal income, Services sector, Structural transformation

Keywords: Agricultural sector, Agriculture, Agriculture shares distribution, Central and Eastern Europe, Labor market, Manufacturing, Manufacturing share, Output share, Panel Data, Personal income, Quantile estimate, Quantile regression, Sectoral share, Services, Services sector, Services sectors share, Structural Transformation, Sub-Saharan Africa, WP

Publication Details

Pages:

44
Volume:

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DOI:

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Issue:

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Series:

Working Paper No. 2013/176
Stock No:

WPIEA2013176
ISBN:

9781484359662
ISSN:

1018-5941

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