State-Level Exports: An Alternate Estimate

Simontini Das () and Saikat Sinha Roy
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Simontini Das: Jadavpur University

A chapter in Managing Pandemic and Correcting Development Fundamentals, 2023, pp 141-164 from Springer

Abstract: Abstract This paper aims to estimate a new state-level export data series for organized manufacturing sector at the aggregate and disaggregate levels over the time period 2008–09 to 2014–15, using ASI unit-level records. The requirement of a new data series arises on two counts: first, the existing port-level data generated by the DGCI&S are not validated and fraught with problems, and second, there is a renewed requirement for disaggregated state-level export data, especially in the post-pandemic period when states are trying to formulate policy strategies to come out of the pandemic-led recession. The present research uses the multiplier, provided by ASI to arrive at the new state-level export data series. The new aggregate and disaggregate state-level export data series are free from the identification of state of origin problem as observed in case of the DGCI&S database on state-level exports. However, these data include only organized manufacturing exports at the state level. The aggregate state-level exports show wide variations with Maharashtra, Tamil Nadu and Gujarat emerging as the top exporting states. The export basket also varies across the states. Spearman rank correlation and Kendall’s tau rank correlation show a positive association between production structure and export structure across most states, though the pattern varies.

Keywords: Sub-national exports; Firm-level data; Export basket (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/978-981-19-8680-2_8

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