JOURNAL ARTICLE

The Industrial Policymaking and Implementation in India: Inferential Insights from Jammu and Kashmir.

  • Published In: Small Enterprises Development, Management & Extension Journal (SEDME), 2026, v. 53, n. 1. P. 7 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Majeed, Mehak 3 of 3

Abstract

This article examines the disconnect between industrial policy documents and the actual industrial realities in Jammu and Kashmir (J&K), a region in northern India, using data from the Annual Survey of Industries (ASI) 2019–2020. Employing descriptive statistics and stochastic frontier analysis (SFA), the study finds that J&K's industry is predominantly composed of micro, small, and medium enterprises (MSMEs) with low technical efficiency (mean efficiency at 63%) and limited value addition, hindered by high production costs, geographic remoteness, and infrastructural challenges. Key factors positively influencing firm efficiency include firm age, computer use, cash availability, and electricity access, while high production costs, contractual labor, and goods and services tax (GST) payments negatively impact efficiency. The study concludes that existing industrial policies, including the Vision Document Jammu and Kashmir 2047, lack empirical grounding in current industrial conditions and recommends a human-capital-led, environmentally sustainable industrial strategy with targeted subsidies and updated policy frameworks to enhance competitiveness and realistic development outcomes in J&K.

Additional Information

  • Source:Small Enterprises Development, Management & Extension Journal (SEDME). 2026/03, Vol. 53, Issue 1, p7
  • Document Type:Article
  • Subject Area:Diplomacy and International Relations
  • Publication Date:2026
  • ISSN:0970-8464
  • DOI:10.1177/09708464261431116
  • Accession Number:192656199
  • Copyright Statement:Copyright of Small Enterprises Development, Management & Extension Journal (SEDME) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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