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World Economy
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World Economy
Article . 2017 . Peer-reviewed
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Intensive and extensive margins of exports: What can India learn from China?

What can India learn from China?
Authors: Choorikkad Veeramani; Lakshmi Aerath; Prachi Gupta;

Intensive and extensive margins of exports: What can India learn from China?

Abstract

AbstractWe decompose India's export performance in manufactured products during 2000–15 into changes at the intensive and extensive margins. India's performance, along different margins, is compared and contrasted with that of China. The results show that while China outperforms India at both the margins, the gap is particularly wide at the intensive margin. Decomposition of intensive margin along quantity and price margins shows that Chinese products are generally sold cheaper than Indian products. Higher price margin, however, has not translated into high intensive margin for India due to its abysmally low quantity margin. We examine different explanations for China's superior performance relative to India, along different margins, using a gravity model. Our results suggest that China's exchange rate policy was not the prime reason for its export success. Neither do we find that FDI inflows were significant in explaining the export performance gap between them. The results show that China's export relationship bias towards high‐income partner countries holds the key in understanding its superior performance. This bias is a natural consequence of China's high degree of specialization in labor‐intensive activities. India, by contrast, due to an idiosyncratic pattern of specialisation, has failed to exploit its export potential in high income countries.

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Average
bronze