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How Does GVCS Participation Influence Manufacturing Productivity? The Case of China

Authors: Hua, Ping;

How Does GVCS Participation Influence Manufacturing Productivity? The Case of China

Abstract

The theoretical and empirical studies argue ambiguous effects of GVCs participation of developing countries on productivity. By using panel data of 15 Chinese manufacturing industries over the 2005-2014 period, we find that China’s GVCs backward and forward linkages contributed to labor productivity growth of 6.41% and 1.97% per year on average respectively, via drawing out from low value added low labor cost backward linkages sectors, optimizing resource allocation towards more efficiency manufacturing sectors (rarely studied) and developing higher value added forward linkages. The resulting structural transformation along to the rise of labor costs diminished the risk for Chinese manufacturing industry to be trapped in low-profitability low productivity GVCs activities. However, the productivity contribution of moving out from backward linkages 3 times higher than that of forward linkages suggest that the future positive impact of GVCs on productivity may be much more difficult to realize in particular in a less favorable context (trade war between China and USA, reindustrialization of developed countries and trade protection related to Covid-19 etc.) than the studied period.

Country
France
Keywords

[SHS] Humanities and Social Sciences, [QFIN] Quantitative Finance [q-fin], global value chains, manufacturing labor productivity, China

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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