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The Korean manufacturing sector has undergone active structural transformation in the past few decades. In particular, the composition of core manufacturing products has changed over time. In the 1970s, textiles, which are used to produce fabric, clothes, apparel, and shoes, were the main product. Over time, the value added shares have shifted toward electronics, ships, and cars. By analyzing plant-level microdata, this paper documents the patterns of entry, exit, job creation and destruction, and the growth of young plants during the industrial shift. This industrial shift involved active job reallocations, as well as the entry and exit of plants. The paper quantifies the extent to which such plant-level dynamics explain aggregate productivity growth. The findings show that within-plant productivity growth, which includes the effects of fast growth of young plants as well as robust growth of large continuing plants, played an important role in the productivity growth of the Korean manufacturing sector. The contribution of reallocations between continuing plants was relatively small. Moreover, productivity growth of an industry accompanied an increase of productivity dispersion, a measure commonly interpreted as the degree of misallocation.
Firm Entry --- Firm Exit --- Industrial Economics --- Industry --- Labor Markets --- Manufacturing --- Productivity Dynamics --- Resource Misallocation --- Social Protections and Labor --- Structural Change
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We estimate plant--level idiosyncratic risk in the U.S. manufacturing sector. Our proxy for risk is the volatility of the portion of TFP growth which is not explained by either industry- or economy-wide factors, or by establishments' characteristics systematically associated with growth itself. Consistent with previous studies, we find that idiosyncratic shocks are much larger than aggregate random disturbances, accounting for about 90% of the overall uncertainty faced by plants. The extent of cross-sectoral variation in idiosyncratic risk is remarkable. Plants in the most volatile sector are subject to at least three times as much uncertainty as plants in the least volatile. Our evidence indicates that idiosyncratic risk is higher in industries where the extent of creative destruction is likely to be greater.
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We estimate the volatility of plant-level idiosyncratic shocks in the U.S. manufacturing sector. Our measure of volatility is the variation in Revenue Total Factor Productivity which is not explained by either industry- or economy-wide factors, or by establishments' characteristics. Consistent with previous studies, we find that idiosyncratic shocks are much larger than aggregate random disturbances, accounting for about 80% of the overall uncertainty faced by plants. The extent of cross-sectoral variation in the volatility of shocks is remarkable. Plants in the most volatile sector are subject to about six times as much idiosyncratic uncertainty as plants in the least volatile. We provide evidence suggesting that idiosyncratic risk is higher in industries where the extent of creative destruction is likely to be greater.
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