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Abstract
Outlines the construction of high-resolution, 7-digit product-level Supply-Use Tables (SUTs) and symmetric Input-Output Tables (IOTs) for the Indian economy, leveraging microdata from the Annual Survey of Industries (ASI) for the period 2016-2022. We delineate a robust methodology encompassing the generation of detailed input and output flows, with a particular focus on the reconciliation of data from registered and unregistered manufacturing sectors through a meticulously developed NPCMS-NIC concordance. The critical transformation from the often-rectangular SUTs to square, symmetric product-by-product IOTs is explicated using the Industry Technology Assumption, a choice justified by its suitability for handling by-products prevalent in a diverse manufacturing landscape. The analytical prowess of this newly constructed high-resolution IOT framework is then demonstrated through its application to assess key economic impacts, specifically the Domestic Value Added (DVA) generated and the employment supported by production and export activities. A detailed case study of India's rapidly evolving mobile phone manufacturing sector (NPCMS 4722200) for the 2016-2022 period reveals profound structural shifts: significant output growth coupled with notable import substitution, a remarkable surge in exports, and a dynamic evolution in the DVA versus Foreign Value Added (FVA) shares, particularly in export-oriented production. The analysis further uncovers substantial employment growth, albeit with an increasing reliance on contractual labour and a heartening rise in female participation in the workforce. These meticulously constructed tables represent a significant methodological advancement and provide an invaluable empirical resource for nuanced analysis of sectoral interdependencies, the efficacy of industrial policy, and the complex dynamics of India's engagement with global value chains.
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