Structural change and growth accelerations in Asia and Latin America: a new sectoral data set

By M. Timmer, G. D. de Vries. 2009

301 citations recorded by the source corpus.

Recent studies of economic growth have moved from explaining average trends in long-term growth to study growth accelerations and decelerations. In this paper we argue that the standard shift-share analysis is inadequate to measure the contribution of sectors to accelerations in productivity. We present a modified shift-share method, which takes account of surplus labour in agriculture and accounts for the contribution to growth from expanding sectors. We apply this novel methodology to the GGDC 10-sector database, which is a new data set with annual time series of value added and persons employed for the ten main sectors of the economy. The data set covers 19 countries in Asia and Latin America spanning the period from 1950 to 2005. We find that growth accelerations are explained by productivity increases within sectors, not by reallocation of employment to more productive sectors. Challenging conventional wisdom, productivity improvement in market services is more important than productivity growth in manufacturing.

Subfields: Economics and Econometrics, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/64ee49050558b7f1eb5152119b8eb949222d83d3

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Citations in the corpus

Globalization, Structural Change, and Productivity Growth, with an Update on Africa (2014, methodology): “18 To get consistent data for sectoral value added, Timmer and de Vries (2009) use the most recent sectoral value added levels available from national accounts data published by national statistical offices or central banks.”