2016
DOI: 10.1016/j.red.2015.06.003
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Productivity growth and structural transformation

Abstract: Highlights• The data indicate that, along the development path, countries shift resources towards manufacturing industries that experience the most rapid productivity growth, but towards broad sectors that experience relatively slow productivity growth. • This is consistent patterns of structural transformation in a calibrated multi-industry growth model. • The "productivity mechanism" for structural transformation can thus account for the finding in the literature that along the development path countries sta… Show more

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Cited by 54 publications
(25 citation statements)
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References 30 publications
(41 reference statements)
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“…More specifically, focusing on the terms inside squared brackets in (25), if sectors are complements (substitutes) -i.e., ε ∈ (0, 1) (ε > 1) -exports will become more concentrated on products that experience relatively lower (higher) quality and production-efficiency growth in the rest of the world; quality and efficiency differences across sectors abroad will play no role if ε = 1. 5 The capacity of efficiency growth heterogeneity to explain the evolution of product diversification in a closed economy has been already pointed out by Samaniego and Sun (2016). We add to this, the openeconomy analysis, and the possible importance of heterogeneity in quality-upgrading potential across product lines.…”
Section: Papageorgiou and Spatafora (2012) Compared To Other Indicesmentioning
confidence: 77%
See 1 more Smart Citation
“…More specifically, focusing on the terms inside squared brackets in (25), if sectors are complements (substitutes) -i.e., ε ∈ (0, 1) (ε > 1) -exports will become more concentrated on products that experience relatively lower (higher) quality and production-efficiency growth in the rest of the world; quality and efficiency differences across sectors abroad will play no role if ε = 1. 5 The capacity of efficiency growth heterogeneity to explain the evolution of product diversification in a closed economy has been already pointed out by Samaniego and Sun (2016). We add to this, the openeconomy analysis, and the possible importance of heterogeneity in quality-upgrading potential across product lines.…”
Section: Papageorgiou and Spatafora (2012) Compared To Other Indicesmentioning
confidence: 77%
“…Samaniego and Sun (2016), in turn, present a close economy model of economic growth and structural change. They explain the stages of diversification as a result of transitions among industries that experience different productivity growth rates.…”
Section: Introductionmentioning
confidence: 99%
“…This low elasticity of substitution results in an increased flow of resources from the high productivity manufacturing sector to the lower productivity services sector. Samaniego and Sun (2016) attribute this "humped-shaped" profile of manufacturing's share of employment versus income or GDP per capita, as these now-developed economies moved through the industrialization followed by the deindustrialization phases of development, in large measure to productivity differences within manufacturing. With manufactured goods seen as substitutes for one another (with an elasticity of substitution greater than one) resources shift over time toward production of the high-productivity goods.…”
Section: Natural Deindustrialization and Structural Transformation Tomentioning
confidence: 99%
“…We identify firms whose projects have more upside potential in the sense of hypothesis (ii) of Proposition 1 through their economic activity in the U.S., which serves as a benchmark country. This is done by computing the average value added growth across two-digit ISIC Rev 3.1 sectors for all years in the UNIDO (2017) Industrial Statistics Database and, alternatively, by the average R&D intensity of two-digit sectors provided by Samaniego and Sun (2016). Similarly, we record the volatility of economic activity as measured by the standard deviation of value added in two-digit ISIC Rev 3.1 sectors for all years in UNIDO (2017) to identify more risky projects as in hypothesis (iii) of Proposition 1.…”
Section: Datamentioning
confidence: 99%