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ID: 159348

Input–output table for india 2013–2014: based on the new series of national accounts statistics and supply and the use table / Singh, Kanhaiya

Singh, Kanhaiya	Journal Article
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Summary/Abstract

In our study, we attempt to produce a more up-to-date input–output (I-O) table for India based on the supply and use table (SUT) of the economy and the new series of National Accounts Statistics (NAS). The resulting table has been used to estimate output multipliers for 25 sectors, and these have been compared with multipliers from the last set of I-O officially estimated for the country in 2007–2008. A key difference between the two sets of tables is the inclusion of inputs in the public administration sector in the more recent one, as a result of which the Type-I multiplier of this sector is greater than one in the latter table compared to one in the former. For the same reason, the Type-II multipliers obtained from the 2013–2014 I-O table are broadly higher than those obtained from the 2007–2008 I-O table. Validation has also been done by comparing gross value added (GVA) as a basic price obtained from the national accounts data for 2013–2014 with the GVA arrived at from the constructed I-O table.

Key Words

India ; Multiplier Effects ; Supply and Use Table ; Input – Output Table

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ID: 140235

Value, structure and spatial distribution of interprovincial trade in China / Xing, Weibo; Whalley, John ; Li, Shantong

Whalley, John	Article
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Summary/Abstract

This study uses two different datasets to explore the stylized facts of interprovincial trade in China during the recent two decades. One dataset provides the magnitude of bilateral interprovincial goods trade calculated using firms' value-added tax invoices. The other supplies estimates of interprovincial trade using provincial input–output tables. We find that China has both a large value and a high growth rate of interprovincial trade, but there still exists a home bias in internal trade for most provinces. In addition, disaggregation by product shows that the manufacturing sector has the largest share of interprovincial trade and this share continues to grow. Finally, the spatial distribution of trade suggests that all provinces can be clustered into a smaller number of trade areas with large intra-cluster trade. Therefore, China's central government should make more effort to reduce local protection, stimulate domestic demand and coordinate interregional trade among local jurisdictions.

Key Words

Spatial Distribution ; Input – Output Table ; Interprovincial Trade ; Value - Added Tax Data

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